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Background: Providing adaptive scaffolds to help learners develop effective self-regulated learning (SRL) behaviours has been an important goal for intelligent learning environments. Adaptive scaffolding is especially important in open-ended learning environments (OELE), where novice learners often face difficulties in completing their learning tasks. Objectives: This paper presents a systematic framework for adaptive scaffolding in Betty's Brain, a learning-by-teaching OELE for middle school science, where students construct a causal model to teach a virtual agent, generically named Betty. We evaluate the adaptive scaffolding framework and discuss its implications on the development of more effective scaffolds for SRL in OELEs. Methods: We detect key cognitive/metacognitive "inflection points," that is, moments where students' behaviours and performance change during learning, often suggesting an inability to apply effective learning strategies. At inflection points, Mr. Davis ("a mentor agent in Betty's Brain") or Betty ("the teachable agent") provides context-specific conversational feedback, focusing on strategies to help the student become a more productive learner, or encouragement to support positive emotions. We conduct a classroom study with 98 middle schoolers to analyse the impact of adaptive scaffolds on students' learning behaviours and performance. We analyse how students with differential pre-to-post learning outcomes receive and use the scaffolds to support their subsequent learning process in Betty's Brain. Results and Conclusions: Adaptive scaffolding produced mixed results, with some scaffolds (viz., strategic hints that supported debugging and assessment of causal models) being generally more useful to students than others (viz., encouragement prompts). Additionally, there were differences in how students with high versus low learning outcomes responded to some hints, as suggested by the differences in their learning behaviours and performance in the intervals after scaffolding. Overall, our findings suggest how adaptive scaffolding in OELEs like Betty's Brain can be further improved to better support SRL behaviours and narrow the learning outcomes gap between high and low performing students. Implications: This paper contributes to our understanding and impact of adaptive scaffolding in OELEs. The results of our study indicate that successful scaffolding has to combine context-sensitive inflection points with conversational feedback that is tailored to the students' current proficiency levels and needs. Also, our conceptual framework can be used to design adaptive scaffolds that help students develop and apply SRL behaviours in other computer-based learning environments.

Background: Previous studies have shown that dynamic illustrations, as compared to their static counterparts, lead to higher achievement levels, especially for hand-based procedures. Other researchers have investigated how the presence of seductive details (i.e., appealing but irrelevant adjunct displays) influences students' interest positively but their learning negatively. Objectives: The purpose of the two present studies was to investigate the effects of animated versus static presentations, combined with the presence of seductive details, on student performance on a paper-folding task (i.e., origami) in a naturalistic school environment. Methods: Fifty-five children (5-6 years old) participated in the first study and were randomly assigned to one of four groups. The second study was conducted with older children (72 second or third graders) and a more complex origami task. Results and Conclusions: In the first study, results demonstrated negative effects of seductive details on children's performance and time on task, but no effects of presentation format. In the second study, no negative effects of seductive details on student achievement were found, but animated illustrations significantly improved children's performance and reduced time on task. However, seductive details tended to impair learning more greatly given the presence of static, as compared to animated, presentations. Task difficulties and pupils' ability to inhibit irrelevant information may explain these results.

Background: In 2018, it was found that only a quarter of Grade 3 children in India were reading at grade level. A growing demand for English education has further limited children's literacy achievement. Despite a strong evidence base in favour of using systematic phonics for building English literacy skills, many teachers in India continue to use rote-methods of literacy instruction. Objectives: We aimed to examine the efficacy of GraphoLearn (GL) English Rime, a computer-assisted reading intervention, in improving the foundational literacy skills of 1st and 2nd grade students who were attending an English medium school in India. Methods: A total of 136 students across 6 classrooms were randomly allocated to play either GL or a control math game over a 5-week intervention period. Students were pre- and post-tested on various English literacy skills using tasks built into the GL software as well as through oral and paper-based tasks. Results and Conclusions: Students who played GL showed significantly greater and faster development on in-game measures of letter-sound knowledge, rime unit recognition, and word recognition as compared to students who did not play GL. In addition, GL resulted in greater effects on these measures for students with stronger English literacy skills prior to the start of the intervention. No differences were found between groups on the oral and paper-based tasks. Implications: GL was able to quickly and effectively teach critical sub-skills for reading. However, a lack of effects on the out-of-game measures opens the door for further discussion on the successful implementation of such interventions.

Background: With increased use of artificial intelligence in the classroom, there is now a need to better understand the complementarity of intelligent learning technology and teachers to produce effective instruction. Objective: The paper reviews the current research on intelligent learning technology designed to make models of student learning and instruction transparent to teachers, an area we call model‐based learning analytics. We intended to gain an insight into the coupling between the knowledge models that underpin the intelligent system and the knowledge used by teachers in their classroom decision making. Methods: Using a systematic literature review methodology, we first identified 42 papers, mainly from the domain of intelligent tutoring systems and learning analytics dashboards that conformed to our selection criteria. We then qualitatively analysed the context in which the systems were applied, models they used and benefits reported for teachers and learners. Results and Conclusions: A majority of papers used either domain or learner models, suggesting that instructional decisions are mostly left to teachers. Compared to previous reviews, our set of papers appeared to have a stronger focus on providing teachers with theory‐driven insights and instructional decisions. This suggests that model‐based learning analytics can address some of the shortcomings of the field, like meaningfulness and actionability of learning analytics tools. However, impact in the classroom still needs further research, as in half of the cases the reported benefits were not backed with evidence. Future research should focus on the dynamic interaction between teachers and technology and how learning analytics has an impact on learning and decision making by teachers and students. We offer a taxonomy of knowledge models that can serve as a starting point for designing such interaction. Lay Description: What is currently known: Current learning analytics solutions are often not perceived helpful by teachers What this paper adds: Model‐based learning analytics seeks to make these systems more transparent and actionableOur review shows there is good potential that systems designed in this way would have greater impact on classroom teaching Implications for practitioners: Pedagogical‐psychological models should be an integral part of intelligent learning systems designsWe offer a taxonomy of such models and current good practices of their use as a starting point [ABSTRACT FROM AUTHOR]

Describes a study of eighth graders that examined the effect of the use of a linked multiple representation software program on student conceptions of algebraic functions, including graphing techniques. Results of classroom observations and paper-and-pencil tests are discussed, and the adapted curriculum used in the experiment is described. (17 references) (LRW)

Social networks have intruded in human life by providing new technological innovations in a range of fields, including the education. The use of social networks in education has the potential to extend e-learning and to introduce new forms of tutoring, communication, and collaboration between students and instructors. Thus, e-learning is the threshold of Social Networking-based Learning (SN-Learning). SN-Learning consists of a new term, introduced in this paper, and involves e-learning systems with social networking characteristics or learning through social networking platforms. To this direction, the main objective of this paper is to present this new technological advancement emerged nowadays and to evaluate relevant applications of the last decade using our adjusted evaluation framework, EV-SNL, in order to highlight their strengths and weaknesses regarding digital learning. The major finding is that SN-Learning systems focus mainly on the incorporation of social features and do not provide yet personalized and adaptive tutoring. This research provides guidelines to computer science researchers on the design and implementation of SN-Learning platforms using artificial intelligence and modelling techniques. Moreover, it can support teachers of different fields so that they can enhance their instruction with new technologies. There is scope for a lot of improvement.

The adoption of Information and Communication Technologies in early childhood education is crucial for adapting traditional classrooms to the digital era. Over time, young children are increasingly using touch screen technologies such as tablets at home and in early childhood settings. However, the literature shows that there is a significant gap in knowledge of using this technology in early childhood education. Most researchers have focused on the pedagogical theory behind using touch screen devices, but there have not been many empirical studies about how these technologies affect students' learning processes. This paper presents three learning experiences where early childhood students perform educational activities using tablet computers, interactive whiteboards, and paper cards. The results show that students who used the technology were more motivated and achieved better results that those who used paper cards.

Virtual reality is widely recognized as offering the potential for fully immersive environments. This paper introduces a framework that guides the creation and analysis of immersive environments that are pedagogically structured to support situated and experiential education. The "situated experiential education environment" framework described in this paper is used to examine the impact that a virtual environment can have on the user experience of participants in a virtual space. The analysis of a virtual environment implemented to support learner exploration of issues of tourism development and the related impacts, suggest that this type of experience is capable of providing participants with a holistic experience of real-world environments that are otherwise too expensive, impractical, or unethical for large groups of people to visit in person. The pedagogical value of such experiences is enabled through immersion in a reality-based environment, engagement with complex and ambiguous situations and information, and interaction with the space, other students, and teachers. The results demonstrate that complex immersive learning environments are readily achievable but that high levels of interactivity remain a challenge.

This study reviews empirical research articles published in the field of technology-enhanced learning in the out-of-class contexts in primary schools between the years 2007 and 2016 and explores how the body of research has connected formal and informal learning experiences, referred to in the paper as bridging the gap. The review focuses on 43 selected experiments from 41 research papers, which are in detail examined and classified using the 3 criteria: (a) the Bloom's taxonomy for learning, (b) the intentionality to physical settings classification used to differentiate types of learning in various environments, and (c) the characteristics of seamless learning design. The findings confirm that technology can enhance learning in and out of classroom, especially by impacting student interest, motivation, and engagement. The close examination of the subset of studies with cognitive gains shows that they successfully bridged the gap between learning spaces and that such bridging positively correlates with the number of steps in the learning activity design. The successful bridging of the gap between learning spaces could further benefit from including more online social learning activities into the designed learning process and from involving teachers as cocreators of the learning process and resources.

With the development of a technology-supported environment, it is plausible to provide rich process-oriented feedback in a timely manner. In this paper, we developed a learning analytics dashboard (LAD) based on process-oriented feedback in iTutor to offer learners their final scores, sub-scale reports, and corresponding suggestions on further learning content. We adopted a quasi-experimental design to investigate the effectiveness of the report on students' learning. Ninety-four freshman from two classes participated in this research. The two classes were divided into the LAD group and the original analytics report (OAR) based on a product-oriented feedback group. Before the experiment, all the students took the prior knowledge assessment. After a semester's instruction, all the students took the post-test of the summative assessment. Results indicated that students in the LAD group experienced better learning effectiveness than students in the OAR group. LAD based on process-oriented feedback was also effective in improving the skill learning effectiveness of the students with low-level prior knowledge.

This paper reviews the theoretical and pedagogical affordances and challenges highlighted in studies on correcting second language (L2) learners' errors via computer-mediated feedback (CMF) in blended and distance learning. The study aimed at understanding and conveying the reported challenges and affordances of CMF to inform the computer-assisted language learning practitioners. To this end, 97 peer-reviewed articles published from 2012 to 2020 that discussed CMF with respect to receptive and productive language skills were systematically reviewed. The collected data were tabularized in terms of receptive and productive skills. To visualize the results, the obtained data were arranged in four hierarchical database formats with respect to four language skills. The implications of the study are twofold. Pedagogically, teachers are informed useful affordances that can be used to give feedback during teaching. Theoretically, researchers are informed about challenges that require further investigation.

For primary school students, mathematical word problems are often more difficult to solve than straightforward number problems. Word problems require reading and analysis skills, and in order to explain their situational contexts, the proper mathematical knowledge and number operations have to be selected. To improve students' ability in solving word problems, the problem solving process could be supported by procedural and content specific guidance or with only procedural support.. This paper evaluates the effect of two types of hints, procedural only and content-procedural, provided by a computer programme presented in two versions. Students of grade 6 were randomly assigned to these two versions, which offered five lesson units consisting of eight word problems each. The results indicate that on average the students in the procedural-content hints group (n = 54) finished about just as many problems in the programme as their counterparts in the procedural-only condition (n = 51). However, the participants in the first group solved more problems correctly and improved their problem-solving skills more as indicated by the scores on the problem-solving post-test. Apart from presenting our analysis of the findings of this study, also its limitations and its possible implications for future research are discussed in this paper.

Background: The sudden growth in online instruction due to COVID‐19 restrictions has given renewed urgency to questions about remote learning that have remained unresolved. Web‐based assessment software provides instructors an array of options for varying testing parameters, but the pedagogical impacts of some of these variations has yet to be examined. Objectives: The current study examines whether question order affects student performance on online college math assessments. Drawing on the literature of testing and math anxiety, we hypothesized that difficult questions near the beginning of an assessment would have a destructive effect on student confidence, which would in turn have a deleterious effect on their performance. Methods: We employed an observational 'big data' methodology, analysing 23,468 final exams completed by students in 10 different courses over eight semesters at a Math Emporium in a large technical university in the eastern United States. Students were freshmen and sophomores enrolled in non‐engineering math courses. We regressed the final score on the difficulty level of the first and second questions, controlling for several other factors. Results and Conclusions: We found that several factors—day of the week, amount of time before the deadline, number of minutes spent on the exam—have more of an impact on score than question order. This pattern was consistent across sexes. Takeaways: Our findings contradict some previous studies, which have found that difficult early questions degrade student performance, and that this affect is more pronounced in females. This work enriches our understanding of how students respond to online assessment. Lay Description: What is already known about this topic: Previous studies have had mixed results about the effect of question difficulty ordering on student performance.Furthermore, few studies have examined this issue for computer assessments. What this paper adds: We employ a novel methodology with a uniquely large data set.Our findings indicate that difficulty ordering has no effect on student performance. Implications for practice: Math instructors can use the random ordering feature of computer assessment generating tools because question order does not affect performance. [ABSTRACT FROM AUTHOR]

Background: Providing feedback in massive open online courses (MOOCs) is challenging due to the massiveness and heterogeneity of learners' population. Learning analytics (LA) solutions aim at scaling up feedback interventions and supporting instructors in this endeavour. Paper Objectives: This paper focuses on instructor‐led feedback mediated by LA tools in MOOCs. Our goal is to answer how, to what extent data‐driven feedback is provided to learners, and what its impact is. Methods: We conducted a systematic literature review on the state‐of‐the‐art LA‐informed instructor‐led feedback in MOOCs. From a pool of 227 publications, we selected 38 articles that address the topic of LA‐informed feedback in MOOCs mediated by instructors. We applied etic content analysis to the collected data. Results and Conclusions: The results revealed a lack of empirical studies exploring LA to deliver feedback, and limited attention on pedagogy to inform feedback practices. Our findings suggest the need for systematization and evaluation of feedback. Additionally, there is a need for conceptual tools to guide instructors' in the design of LA‐based feedback. Takeaways: We point out the need for systematization and evaluation of feedback. We envision that this research can support the design of LA‐based feedback, thus contributing to bridge the gap between pedagogy and data‐driven practice in MOOCs. Lay Description: What is known about this topic: Learners' scale and diversity hinder timely feedback in massive open online courses (MOOCs).Learning analytics (LA) can optimise learners' support by scaling the feedback interventions. What this paper adds: We present a literature review on LA‐based feedback in MOOCs in the last 12 years.We focused on LA approaches that support instructors in providing feedback.Results show a scarcity of empirical studies related to these LA‐based tools.Results show that limited attention is paid to pedagogical and contextual aspects. Implications of the study findings for practitioners: We address knowledge gaps related to LA‐based tools for feedback in MOOCs.There is a need of LA‐based interventions to consider the course context.There is a need to evaluate the impact of LA‐based feedback in MOOCs empirically. [ABSTRACT FROM AUTHOR]

Because the educational technology research literature is so broad, it is difficult for researchers to acquire an accurate sense of the issues and trends across the entire field. There has not been any recent effort to synthesize or critically analyse the systematic reviews in the area of educational technology. This study analysed 73 systematic literature reviews, including meta‐analyses, focused on the evaluation of technology in educational contexts, in order to holistically understand the impact of learning technology use across different aspects of evaluation. Among these reviews, the most common theme examined was learning outcomes (89%), followed by affective elements (45%), behaviours (25%), technological elements (21%) and teaching/pedagogical aspects (19%). Most of the reviews found that the use of technology improved learning outcomes and affective perceptions. Approaches involving interaction, gamification, constructivism, student‐centred learning and feedback were most effective. The analysis highlighted the need for more reviews focusing on multiple aspects of learning technology evaluation, on school level education and on the use of technology in naturalistic (non‐interventional) settings. Critical reflections are also cast on the methods used to conduct systematic reviews in the educational technology field. Lay Description: What is already known about this topic Systematic literature reviews are often used to understand trends in specific areas of educational technology research and evaluation.There has not been any recent effort to synthesis or critically analyse the reviews in areas of educational technology research. What this paper adds A critical analysis of 73 systematic reviews to understand trends in learning technology evaluation.Technology use consistently improves outcomes across reviews of different learning domains, technologies, and levels.Approaches involving interaction, gamification, constructivism, student‐centred learning and feedback were most effective.The majority of systematic reviews did not evaluate the quality of the primary papers which they examined. Implications of study findings for practitioners Educators should preference approaches that are constructivist, social, gamified, student‐centred and involving feedback.Educators should strive to evaluate the quality of the papers they review as well as multiple aspects of learning.The more detailed findings of this paper will enable educators to adopt a more nuanced approach to their practice. [ABSTRACT FROM AUTHOR]

Computer-assisted instruction can change the way introductory statistics and quantitative methods courses are taught. Using a two-group pretest-posttest design, we conducted an experiment using an undergraduate social science student sample to investigate whether the introduction of statistical software to teaching quantitative methods would improve knowledge acquisition and attitudes toward quantitative methods courses. Our project confirmed that implementing computer-assisted instructional methods increased knowledge acquisition in quantitative methods courses compared with students' academic performance in other courses, measured by grade point average. We also found that student attitudes have weak and mostly nonsignificant influence on quantitative methods knowledge tests. Additionally, the paper suggests a curriculum-level approach to teaching quantitative methods to undergraduate students.

This paper reports how robot-assisted language learning (RALL) impacts Japanese adults' English speaking skills. With existing research on RALL focusing on children, there is little evidence indicating RALL's effects on adults. We developed a RALL system comprising a robot, a tablet, and designed learning materials for speaking practice. To explore the effects of this system on the speaking skills of adults, we conducted a pretest and posttest designed pilot experiment. The participants in this study were nine female Japanese university students. The participants used the system for speaking practice for a total of 30 min per day for 7 days. The results of comparing the pretests with the posttests demonstrated that the adults' English speaking skills were enhanced; in particular, their speaking accuracy, fluency, and pronunciation improved greatly. This study contributes to providing clear evidence of the effects of RALL on Japanese adults' English speaking skills.

Learning and teaching algebra concepts are frequent problems for both students and teachers alike. Students struggle to learn algebra, and teachers struggle to identify the best way to teach algebra. It is recurrent that teachers use instructional methods that promote memorization, and, consequently, the learning process may prove unsatisfactory. This paper introduces Virtual Algebra Tiles, an open educational resource whose purpose is to enable students to use algebra tiles from a computer to enhance their knowledge of algebra concepts. To evaluate the effectiveness of the system, we designed a case study. The participants were 40 students of engineering degrees who were randomly assigned to experimental or control groups. Results indicate that the system has a large effect size (ES = 0.83, p < 0.001) on learning effectiveness and a promising long-term knowledge retention (ES = 0.79, p < 0.001). Students concluded that this version of algebra tiles is more motivating than other versions, because it is presented in a format that stands natural to them. Students feel more comfortable in virtual environments, and therefore, the learning process becomes a more pleasant task.

The rich learning resources and contexts learners experience in their everyday life could play important roles in complementing formal learning, but are often neglected by learners and teachers. In this paper, we present an intervention study in "Move, Idioms!", a mobile-assisted Chinese language learning approach that emphasizes contextualized learner content creation and meaning (sense) making with their daily encounters. In the study, students used smart phones on a 1:1 basis to take photos of the real-life contexts pertaining to Chinese idioms or conjunctions, made sentences with the idioms/conjunctions, and then posted them onto a wiki space for peer reviews. This paper focuses on analysing students' on-campus face-to-face collaborative learning process. Inspired by the notions of mediation by artefacts and distributed cognition, we derived a novel visualization approach for descriptive analysis of the small-group activities to provide a synoptic view of the process of student artefact co-creation in such collaborative activities. Through our artefact-oriented analysis, we foreground the significance and the potential impact in fostering learners' habit of mind and skills in identifying and appropriating "in situ" resources to mediate their learning activities in any learning space, rather than always being "dictated" by the resources that the teacher provides with fixed roles to play. (Contains 1 table and 5 figures.)

Two recent emerging trends are that of Web 2.0, where users actively create content and publish it on the Web, and also location awareness, where a digital device utilizes a person's physical location as the context to provide specific services and/or information. This paper examines how these two phenomena can be brought together so that user-generated content on mobile devices is used to provide informal learning opportunities relevant to a person's location. However, the generative process of such media does not always have much guidance on how or what to create, so the quality of such information can be highly variable. To overcome this, a framework has been designed to guide the authoring of user-generated content so that it can be used for informal learning about one's immediate surroundings (particularly in an outdoor setting), combining pedagogical aspects with those from human-computer interaction and environmental aesthetics. The framework consists of six dimensions that include aspects such as curriculum area (e.g. science, art), type of communication, use of language/media related to the landscape, knowledge level of content, contextual aspects, and types of interaction. In order to test the framework before it could be used to scaffold new content, it was first used to analyse and evaluate over 200 items of existing user-generated content, to investigate the appropriateness of the proposed dimensions and the items contained therein or if any were missing. This paper presents the findings of this initial testing phase, together with a discussion of how the framework can be improved, in order to help scaffold the creation of new user-generated content in the future.

This paper explores the relationship between practitioners' pedagogical purposes, values and practices in designing for inquiry-based learning in higher education, and the affordances of the Learning Activity Management System (LAMS) as a tool for creating learning designs in this context. Using a qualitative research methodology, variation was identified in participants' conceptions of inquiry-based learning pedagogy and in their approaches to inquiry-based learning design. LAMS was found to offer design affordances that are compatible with more strongly teacher-led conceptions of, and approaches to, inquiry-based learning pedagogy. The paper draws some implications for the further development and use of design tools for inquiry-based learning. The authors suggest that, in addition to tools created for teachers, there may be a valuable role for tools that explicitly support students as designers of their own inquiry processes and activities.

This paper focuses on the interaction patterns of learners studying in pairs who were provided with multimedia learning material. In a previous article, we reported that learning scores were higher for dyads of an "animations" condition than for dyads of a "static pictures" condition. Results also showed that offering a persistent display of one snapshot of each animated sequence hindered collaborative learning. In the present paper, further analyses of verbal interactions within learning dyads were performed in order to have a better understanding of both the beneficial effect of animations and the detrimental effect of the presence of persistent snapshots of critical steps on collaborative learning. Results did not show any differences in terms of verbal categories between the two versions of the instructional material, that is, static versus animated pictures. Pairs who were provided with persistent snapshots of the multimedia sequences produced fewer utterances compared to participants without the snapshots. In addition, the persistent snapshots were detrimental both in terms of providing information about the learning content and in terms of producing utterances solely for the purpose of managing the interaction. In this study, evidence also showed that these two verbal categories were positively related to learning performances. Finally, mediation analyses revealed that the negative effect of persistent snapshots was mediated by the fact that peers of the snapshots condition produced less "information providing" and "interaction management" utterances. Results are interpreted using a psycholinguistic framework applied to computer-supported collaborative learning (CSCL) literature and general guidelines are derived for the use of dynamic material and persistency tools in the design of CSCL environments. (Contains 4 figures and 3 tables.)

The successful adoption of information and communication technology to enhance learning can be very challenging, requiring a complex blend of technological, pedagogical and organizational components, which may at times require the resolution of contradictory demands and conflicting needs. The research reported in this paper investigated and analysed critical success factors (CSFs) that are required to deliver e-learning within higher education (HE) courses and programmes. The research design adopted a critical research approach, instantiated by focus group discussions with e-learning experts drawn from administrative, educational, technology and research domains. The findings revealed that staffing issues, pedagogically sound delivery models and training of both tutors and students cannot be treated as trivial issues and are critical to the success of e-learning. Furthermore, this research also shows that there is a strong relationship between these factors and inspirational institutional leadership. The findings also suggest that in order to assure the success of e-learning, this leadership should guarantee the presence of institutional enablers. It is hoped that the CSFs, described and discussed in depth in this paper, will provide a suitable theoretical foundation to underpin the successful delivery of e-learning within HE. (Contains 3 figures and 4 tables.)

This paper illustrates a 5-year case study (from 2001 to 2005) regarding a course in educational technology that involved from 100 to 150 student teachers per year for a total of more than 500 trainees. Since the first version of the course, which was entirely based on a face-to-face approach, computer mediated collaborative learning techniques have gradually been introduced into the training program. The paper outlines the main problems faced in the various versions of the course, where different combinations were experimented with, and discusses the solutions adopted. The difficulties concern the demands of a large, diversified population and the methodological problems related to the non-neutrality of the introduction of online learning in the socio-cultural and organizational context of the study. The solutions include a highly flexible course design and a good balance and strict integration between traditional and online training techniques in the delivery of the course and in the assessment of trainees. Finally, we suggest possible directions for further research aimed at facilitating the infusion of online techniques in initial teacher training.

The adoption of Information and Communication Technologies in early childhood education is crucial for adapting traditional classrooms to the digital era. Over time, young children are increasingly using touch screen technologies such as tablets at home and in early childhood settings. However, the literature shows that there is a significant gap in knowledge of using this technology in early childhood education. Most researchers have focused on the pedagogical theory behind using touch screen devices, but there have not been many empirical studies about how these technologies affect students' learning processes. This paper presents three learning experiences where early childhood students perform educational activities using tablet computers, interactive whiteboards, and paper cards. The results show that students who used the technology were more motivated and achieved better results that those who used paper cards. Lay Description: What is already known about this topic: The use of ICT in childhood education offers new possibilities for teachers to provide new and more visual digital learning content to their students.Touch technologies seem suitable for young students. Because their motor skills are not fully developed yet, interacting with computers through a mouse and a keyboard is more difficult than doing it through natural gestures.There are many studies in higher education levels that demonstrate that proper use of ICT in education can lead to an increase of the students' motivation and learning. What this paper adds: Three empirical studies in three different childhood education classrooms to shed some light about how ICT can impact positively students learning.A comparison of interactive whiteboards and tablet computers benefits regarding more traditional methodologies in childhood education.Insights about how hardware and software can be combined to provide students a suitable learning environment in childhood education classrooms. Implications for practice and/or policy: Teachers should consider how they will create the workgroups. It is highly advisable to create heterogeneous groups taking into account the students' skills. This way, members of the same group can help each other, creating a richer learning scenario.Several teachers who participated in our studies said that they were not able to use ICT in their classrooms because they did not have enough digital competences. Our studies and the results obtained led them consider integrating technology in their classrooms. The good results obtained by the students who worked with technology changed the teachers' perspective about the use of technology in the classroom.Students showed a great interest in the use of tablet computers and interactive whiteboards, which translated into higher motivation compared with the students who solved the activities on paper. [ABSTRACT FROM AUTHOR]

This paper reports on research to investigate design features of asynchronous discussion systems for higher education. The research aims to identify features that increase the benefits of discussion systems and reduce the problems. The paper focuses on a major theme that emerged from interviews with learners and teachers: information overload. Interview findings, together with literature and system reviews, were used to identify four areas of possible system enhancement aimed at alleviating overload: branched message threading; user recommendations of messages; message filtering; and a personal 'clippings' area for useful messages. The paper discusses these enhancements and their evaluation in a prototype discussion system used on a UK Open University course. Data from the student evaluation indicated that students preferred branched threading to linear threading; they thought filtering and clippings were helpful in principle, although they did not use them very much; and they felt uncomfortable with the idea of recommending each others' messages. Students felt less overloaded in the second part of the course, which was when the system enhancements were made available.

In recent years, novel paradigms of computing have emerged, which enable computational power to be embedded in artefacts and in environments in novel ways. These developments may create new possibilities for using computing to enhance learning. This paper presents the results of a design process that set out to explore interactive techniques, which utilized ubiquitous computer technology, to stimulate active participation, involvement and learning by children visiting a museum. Key stakeholders, such as museum curators and docents, were involved throughout the process of creating the exhibition, "Re-Tracing the Past", in the Hunt Museum, Limerick, Ireland. The paper describes aspects of the evaluation of the exhibition, which involved 326 schoolchildren (ages 9-12-year-old), and which exemplifies important features of the design and use of the novel technology in the museum. The paper concludes by articulating a series of design guidelines for developing ubiquitous computing to enhance children's learning in museums. These guidelines relate 12 experiential criteria to five supporting design informants and resources. The guidelines encompass important dimensions of children's educational experience in museums, including collaboration, engagement, active interpretation, and materiality. While developed in a museum context, these guidelines could be applied to the development of novel computing to enhance children's learning in other educational environments, both formal and informal.

The present study aims to explore the extent to which computer-assisted teaching facilitates the learning of basic mathematical concepts and skills in children with Down Syndrome (DS). Thus, the effectiveness of a multimedia teaching method is compared with a traditional one in the teaching of counting and cardinality abilities and concepts. In our study, two groups of DS children were trained. One of them was taught by using mathematical multimedia software whereas the other learned by means of pencil-paper-based tasks on the same material as the multimedia group. The children of both groups were evaluated before and after training sessions. The multimedia group showed a higher performance than the paper and pencil assisted teaching group on a variety of tasks and measures, suggesting a clear relation between teaching method and mathematical learning in DS children. These findings are discussed in terms of their theoretical as well as applied relevance.

In organizations, the assessment of mental abilities is a common way to predict learning success. This paper analyses the effect of general mental ability on skill retention and examines the relationship between refresher interventions and general mental ability in terms of skill retention. Two hundred sixty-six adult participants were trained to perform a complex cognitive skill in a simulated chemical processing plant (Week 1). After 1 week, 158 participants received intermediate computer-assisted refresher intervention training in which the skill was applied (Week 2; 108 received no intervention). Finally, participants had to recall (perform) the learned skill after 2 weeks (Week 3). Results show that general mental ability alone affects skill retention with small effect sizes and that refresher interventions affect skill retention positively for low and high general mental ability levels. The findings suggest that persons with low and high general mental abilities benefit equally from refresher interventions in order to maintain complex cognitive skills.

Multimodal learning analytics provides researchers new tools and techniques to capture different types of data from complex learning activities in dynamic learning environments. This paper investigates the use of diverse sensors, including computer vision, user-generated content, and data from the learning objects (physical computing components), to record high-fidelity synchronised multimodal recordings of small groups of learners interacting. We processed and extracted different aspects of the students' interactions to answer the following question: Which features of student group work are good predictors of team success in open-ended tasks with physical computing? To answer this question, we have explored different supervised machine learning approaches (traditional and deep learning techniques) to analyse the data coming from multiple sources. The results illustrate that state-of-the-art computational techniques can be used to generate insights into the "black box" of learning in students' project-based activities. The features identified from the analysis show that distance between learners' hands and faces is a strong predictor of students' artefact quality, which can indicate the value of student collaboration. Our research shows that new and promising approaches such as neural networks, and more traditional regression approaches can both be used to classify multimodal learning analytics data, and both have advantages and disadvantages depending on the research questions and contexts being investigated. The work presented here is a significant contribution towards developing techniques to automatically identify the key aspects of students success in project-based learning environments, and to ultimately help teachers provide appropriate and timely support to students in these fundamental aspects.

Interactive training environments typically include feedback mechanisms designed to help trainees improve their performance through either guided or self-reflection. In this context, trainees are candidate teachers who need to hone their social skills for their future classroom. We chose an interactive virtual training system as the basic research environment to investigate the embodiment of the trainees. Using tracking sensors and improvements for existing gesture recognition utilities, we created a gesture database and used it for the implementation of our real-time feedback application. We also investigated multiple modalities of feedback including visual and haptics. This paper describes the context in which the utilities have been developed, the importance of recognizing nonverbal communication in the teaching context, the means of providing automated feedback associated with nonverbal messaging, and a series of preliminary studies developed to inform the research. Results from the conducted studies indicate the positive impact of the proposed feedback application.

This paper provides new evidence on the effect of computerized individualized practice and instruction on language skills, more specifically on spelling. An individually randomized experiment among 7th grade students in the Netherlands is developed to study the effect of an adaptive digital homework tool on spelling performance. Using an instrumental variable approach to control for actual use of the digital tool, we show that there are small positive effects of practicing with an adaptive digital tool for spelling for 7th grade students. Effects are largest for low-performing students.

Tablets have much to offer children with learning difficulties, but evidence of their effectiveness to teach academic skills is limited and cannot be easily separated from the quality of the software. This paper analyses data from 3 iterative cycles of designing an app for children with Down syndrome to support their awareness of quantity through an inclusive game. Research with neurotypical children suggests that representation of quantity (or magnitude) is an area with considerable potential in supporting the foundations for children's mathematical learning. It has received little attention as an aspect for intervention for children with Down syndrome. Data collected in this study illustrate the need to carefully align the game mechanic to the target skills, strengthen levels of access, and introduce gradations of attentional demand. They also signal the interrelationship between children's cognitive and affective responses to the game, making it essential to find the optimal level of challenge. Children's strategies in response to mistakes indicate the importance of creating an agile responsive system. The data also suggest that developers routinely extend the number of features that are optional, enabling a greater level of personalization and a more inclusive game.

Background: AI can positively influence teaching by offering support for classroom management, creating inclusive learning environments, enhancing digital skills, personalizing teaching methods, and strengthening teacher‐student relationships. Objectives: This quantitative research study investigates the opportunities, difficulties, and consequences of incorporating AI into teacher education. Methods: Data were collected through structured questionnaires from 202 college students and 68 staff members. The analysis was conducted using SPSS software. Results: The study provides a novel contribution by its thorough investigation of the diverse effects of AI on teacher education. It offers beneficial perspectives on the possible benefits and challenges, illuminating the far‐reaching changes that AI could bring to the terrain of learning and instruction and teaching methods in the time yet to come. The research sought to assess the effect of AI adoption in teacher education across five main dimensions: (i) its influence on teaching support and classroom management, (ii) its role in creating inclusive and accessible learning environments, (iii) its contribution to improving teachers' digital literacy and computer skills, and enhancing access to digital teaching resources, (iv) its positive influence on identifying students' learning styles and facilitating the adoption of diverse teaching methods, and (v) its role in strengthening teacher‐student relationships through improved interactions. Conclusion: The findings elucidate the promising opportunities that AI presents in the field of teacher education, along with the obstacles that require resolution for the effective fusion of AI educational settings. Lay Description: What is currently known about this topic?: AI has the potential to enhance various aspects of teaching, including classroom management and personalizing teaching methods.Incorporating AI into education has garnered significant interest due to its perceived benefits in improving learning outcomes. What does this paper add?: This paper provides a comprehensive investigation into the effects of AI adoption in teacher education, highlighting both the opportunities and challenges associated with its implementation.It offers insights into how AI can influence different dimensions of teaching, such as classroom management, learning environment inclusivity, and teacher‐student relationships. Implications for practice/or policy: The findings of this study underscore the importance of integrating AI into teacher education programs to leverage its potential benefits in enhancing teaching practices.Policymakers and educators should consider the implications of AI adoption in education and develop strategies to address challenges while maximizing the advantages of AI technologies in teaching and learning. [ABSTRACT FROM AUTHOR]

Background: Instructional videos constitute a pivotal component in flipped learning. Despite their significance, there is a dearth of research specifically dedicated to instructional videos within the context of flipped classrooms. This paucity has led to an empirical void in verifying the efficacy of instructional videos in flipped learning environments. Objectives: The present study endeavours to contribute to the extant literature on flipped pedagogical practices by providing empirical evidence regarding the effectiveness of instructional videos in flipped learning environments. Methods: This study employs a convergent mixed‐methods design. Forty‐five instructional videos in three subtypes were administered in two classes over a 15‐week semester. Data, both quantitative (log data from the learning management system) and qualitative (from focus group discussions at two time points), were concurrently collected from a flipped class (n = 25) and a blended class (n = 28) with the aim of gauging student engagement and learning outcomes in the flipped class and understanding video‐viewing features typical of the flipped class. Results: Both datasets corroborated that participants in the flipped class outperformed their counterparts in the blended class in terms of video‐watching, peer interaction, knowledge retention, and transfer skills. Conclusions: The instructional videos within the flipped classroom setting serve to enhance student engagement in the learning process and improve learning outcomes. The efficacy of these instructional videos in flipped learning can be further augmented through strategic approaches in both their design and implementation. Lay Description: What is currently known about this topic: The flipping pedagogy is conducive to learning.Videos play a crucial role in flipped learning.Videos prepared students for classroom activities.However, engaging students with pre‐class videos presents a challenge. What this paper adds: This paper furnishes direct empirical evidence supporting the effectiveness of instructional videos in flipped learning.It uncovers factors affecting student engagement with videos in flipped learning.It offers insights into the design and implementation of videos in flipped learning. Implications for practice: Considering facilitating conditions and affective factors when creating videos.Acknowledging learner characteristics when designing videos.Utilizing instructional strategies when implementing videos. [ABSTRACT FROM AUTHOR]

Background: In example‐based learning, examples are often combined with generative activities, such as comparative self‐explanations of example cases. Comparisons induce heavy demands on working memory, especially in complex domains. Hence, only stronger learners may benefit from comparative self‐explanations. While static text‐based examples can be compared easily, this is challenging for transient video‐based modelling examples used in complex domains because simultaneous processing of two videos is not feasible. Objectives: To allow for such comparisons, we combined video‐based modelling examples with static representations (i.e., summarizing tables) of the observed optimal and a suboptimal solution of the problem‐solving process. A comparative self‐explanation prompt asked learners to compare the different solution approaches. Our study investigated the impact of video‐based modelling examples versus independent problem‐solving on cognitive load and problem‐solving skill development. Moreover, we investigated the effects of comparative versus sequential self‐explanation prompts, depending on learners' prior knowledge. Methods: In an experiment, 118 automotive apprentices learned a car malfunction diagnosis strategy. Apprentices were divided into three groups: (1) modelling examples with comparative self‐explanation prompts, (2) modelling examples with sequential prompts, and (3) no examples or prompts. Diagnostic knowledge and skills were assessed before and after the intervention. Cognitive load was measured retrospectively. Results and conclusions: Despite no observed effects on cognitive load, modelling examples enhanced diagnostic knowledge and diagnostic skills with scaffolds, though not independent diagnostic skills without scaffolds. The need for more practice opportunities to foster independent diagnostic skills is assumed. Additionally, comparative prompts seem promising for learners with higher prior knowledge. Takeaways: Video‐based modelling examples were more beneficial for learning than practising to apply the diagnostic strategy. Static representations allow for comparisons of video examples and comparative prompts are promising for learners with higher prior knowledge (cf. expertise‐reversal effect). Further research, especially on the effects on cognitive load, is necessary. Lay Description: What is already known about the topic?: Text and video examples that model how to solve a problem are widely used in education.Text examples often include self‐explanation prompts that ask learners to compare several examples.For video examples, such comparison prompts have seldom been investigated, because comparisons are difficult to implement for transient videos. What does this paper add?: This paper shows that video examples combined with static summaries of processes that have been shown in the video example are effective and allow for comparisons of video examples.Such comparisons seem to be more promising for learners with higher prior knowledge. Implications for practice: Practitioners could combine video examples with static summaries of the processes shown in the video examples to allow for comparisons. [ABSTRACT FROM AUTHOR]

Background: Both socially regulated learning and cognitive quality are important factors affecting collaborative knowledge building, but the current research lacks a joint quantified evaluation method that combines these two aspects. Objectives: Based on the existing framework, we proposed a joint evaluation method for regulated learning and cognitive quality in collaborative knowledge building, and further extracted the evaluation indicators. Methods: This study involved 74 learners enrolled in a course named 'the Application of Modern Educational Technology' as the subject of study, and made a case analysis with this method. Results and Conclusions: First, the indicators of this joint evaluation method could complement the indicators of traditional frequency statistics methods and facilitate an analysis of regulated learning and cognitive quality in collaborative knowledge building. Second, the group with a higher proportion of high‐level cognitive quality and socially shared regulation in collaborative knowledge building achieved better final scores. Finally, four types of groups were obtained through clustering: excellent, risky, mixed group, and highly collaborative group. This study introduced a joint evaluation method for regulated learning and cognitive quality in collaborative knowledge building and provides suggestions for future research. Lay Description: What is currently known about this topic?: Online collaborative knowledge building is increasingly important.Regulated learning and cognitive quality are considered very important for successful collaborative learning.Without quantitative methods, it is difficult to assess regulated learning and cognitive quality during collaborative knowledge building in a timely manner. What does this paper add?: This paper provided a joint evaluation method of regulated learning and cognitive quality (JERC) for online collaborative knowledge building.A case study was conducted to identify JERC's usefulness. Using descriptive statistics and visualization, it was determined that indicators of JERC can not only capture the state of cognitive quality and regulated learning status, but also elucidate the nature of that status (i.e., comprehensive, dynamic, cyclical).Through clustering analysis, four distinct groups were identified, each exhibiting different characteristics and moving patterns of regulated learning and cognitive quality over time. These patterns indicate that the quality of cognitive and regulatory learning cannot be determined solely by behavioural frequency. Moreover, an excessive proportion of individual regulation cannot predict better learning performance. Implications for practice: A computable representation model of regulated learning and cognitive quality was constructed to support automated perception and intervention in regulated learning and cognitive processing.With JERC, it is possible for researchers to capture, process, analyse and predict dynamic data to examine online collaborative knowledge building combined with shared physiological arousal events.The results of JERC can be used by researchers to develop advanced techniques, such as AI deep learning, for designing adaptive supports that can foster students' online collaborative knowledge building. [ABSTRACT FROM AUTHOR]

Background: The emergence of ChatGPT in the education literature represents a transformative phase in educational technology research, marked by a surge in publications driven by initial research interest in new topics and media hype. While these publications highlight ChatGPT's potential in education, concerns arise regarding their quality, methodology, and uniqueness. Objective: Our study employs unconventional methods by combining altmetrics and bibliometrics to explore ChatGPT in education comprehensively. Methods: Two scholarly databases, Web of Science and Altmetric, were adopted to retrieve publications with citations and those mentioned on social media, respectively. We used a search query, "ChatGPT," and set the publication date between November 30th, 2022, and August 31st, 2023. Both datasets were within the education‐related domains. Through a filtering process, we identified three publication categories: 49 papers with both altmetrics and citations, 60 with altmetrics only, and 66 with citations only. Descriptive statistical analysis was conducted on all three lists of papers, further dividing the entire collection into three distinct periods. All the selected papers underwent detailed coding regarding open access, paper types, subject domains, and learner levels. Furthermore, we analysed the keywords occurring and visualized clusters of the co‐occurring keywords. Results and Conclusions: An intriguing finding is the significant correlation between media/social media mentions and academic citations in ChatGPT in education papers, underscoring the transformative potential of ChatGPT and the urgency of its incorporation into practice. Our keyword analysis also reveals distinctions between the themes of the papers that received both mentions and citations and those that received only citations but no mentions. Additionally, we noticed a limitation that authors' choice of keywords might be influenced by individual subjective judgements, potentially skewing results in thematic analysis based solely on author‐assigned keywords such as keyword co‐occurrence analysis. Henceforth, we advocate for developing a standardized keyword taxonomy in the educational technology field and integrating Large Language Models to enhance keyword analysis in altmetric and bibliometric tools. This study reveals that ChatGPT in education literature is evolving from rapid publication to rigorous research. Lay Description: What is currently known about this topic?: ChatGPT in education has seen a surge in publications driven by media hype.Early publications tend to lack rigour and reiterate known advantages/disadvantages.Literature reviews on ChatGPT in education have limitations in scope and depth.Some studies have explored altmetrics and bibliometrics in other fields. What does this paper add?: Combines altmetrics and bibliometrics to analyse publications of ChatGPT in education.Addresses challenges in the discourse by offering unconventional analysis methods.Identifies publication trends and investigates the relationship between media attention and citations.Determines key themes in the literature through keyword co‐occurrence analysis. Implications for practice/or policy: Expectations of continued growth in ChatGPT literature but with evolving publication trends.Distinctive characteristics of ChatGPT in education challenge keyword analysis.Proposes the development of a unified keyword taxonomy for clarity in the field.Suggests enhancing altmetrics and bibliometrics tools using Large Language Models. [ABSTRACT FROM AUTHOR]

Background: Painting is the foundational expression across all art forms and is one of the key creative practices for fostering students' aesthetic ability and creativity within fine arts courses. Collaborative painting in the form of socially shared regulation of learning (SSRL) can be recognized as an effective strategy for enhancing creativity in both individual and group work. However, the absence of contextual experiences and collaborative spaces poses challenges for students in cultivating their creativity in painting. Objectives: The present study explores students' creativity, socially shared regulation (SSR) and positive painting behaviours using an SSRL‐based collaborative painting approach in the metaverse (Meta‐CP). Methods: Via a quasi‐experimental design, a total of 40 Chinese students in fifth grade were recruited and were randomly divided into an experimental group and a control group, with 20 students utilizing the Meta‐CP approach, while the remaining 20 students followed the conventional SSRL‐based paper‐and‐brush collaborative painting (C‐CP) approach. The Meta‐CP approach not only offers an authentic painting context and a collaborative space but also facilitates the collaborative process through the SSRL framework. The data collection included students' creative tendency, painting works and painting process. Results and Conclusions: The Meta‐CP approach effectively enhances students' creativity concerning adventure, curiosity and imagination, as well as results in the creation of more distinctive and logical artistic works. Furthermore, the approach significantly improved the quality of students' SSR. Additionally, students utilizing the Meta‐CP approach displayed more positive painting behaviours compared with those employing the C‐CP approach. Lay Description: What is already known about this topic:Collaborative painting is an effective strategy for enhancing creativity.Socially shared regulation of learning (SSRL) fosters collaborative learning.Students in collaborative painting may lack a contextual and synchronized painting space.The metaverse benefits in terms of contextual experiences and collaborative spaces. What this paper adds:Using an SSRL‐based collaborative painting approach in the metaverse (Meta‐CP) is effective in improving students' creativity.The Meta‐CP approach has the potential to improve students' quality of socially shared regulation (SSR), and positive painting behaviours. Implications for practice and/or policy:The metaverse provides an immersive synchronized painting space for art education to stimulate students' creative potential.The metaverse with proper learning strategies (e.g., SSRL) provides an effective collaborative learning environment for creation. [ABSTRACT FROM AUTHOR]

Background: Social annotation has emerged as a promising educational technology that fosters collaborative reading and discussion of digital resources among learners. While the positive impact of social annotation on students' learning process and performance is widely acknowledged, students' behavioural patterns in social annotation are underexplored. Objectives: This study investigated patterns in students' use of annotation and response behaviours in social annotation activities. We also explored how students' performance in the behavioural, cognitive, emotional, and social dimensions varied based on their behavioural patterns. Methods: We recruited 93 undergraduates who were enrolled in an elective course at a large North American University. Students were tasked with collaboratively annotating the class readings uploaded to Perusall, a social annotation platform, over 7 weeks. We used metaclustering to determine the optimal number of clusters pertaining to student behaviours. We compared the differences among clusters across multiple performance dimensions. Results and Conclusions: Two distinct clusters were identified and defined as initiators and responders. We found that responders had significantly longer active reading time and exhibited greater social annotation effort compared to initiators. However, initiators received more peer acknowledgement, as evidenced by higher upvotes. No significant difference was found in cognitive insight between initiators and responders, but responders demonstrated significantly higher cognitive discrepancy. Additionally, there were no significant differences in positive and negative tones between initiators and responders; however, responders displayed higher levels of prosocial behaviours than initiators. This study has significant practical implications regarding promoting students' collaborative learning experience in social annotation. Lay Description: What is already known about this topic: Annotation and response behaviours are two primary actions in social annotation.Understanding how students navigate through annotations and respond to their peers' contributions is essential for optimizing their learning experience.Social annotation outcomes can be assessed in the behavioural, cognitive, emotional, and social dimensions. What this paper adds: This paper revealed students' behavioural patterns in social annotation activities.This study offered a comprehensive understanding of the various dimensions of performance among students with different behavioural tendencies. Implications for practice and/or policy: The two student clusters, initiators and responders, revealed distinct engagement patterns in social annotation and informed the design of targeted scaffoldings.Responders were not passive learners since they demonstrated significantly longer active reading time, greater social annotation effort, and higher level of prosocial behaviours.Educators might not need to place significant emphasis on monitoring participants' emotional expressions in social annotation.Social annotation platforms should incorporate features that encourage and reward both initiation and response behaviours. [ABSTRACT FROM AUTHOR]

This paper reviews 12 research-based principles for how to design computer-based multimedia instructional materials to promote academic learning, starting with the multimedia principle (yielding a median effect size of d = 1.67 based on five experimental comparisons), which holds that people learn better from computer-based instruction containing words and graphics rather than words alone. Principles aimed at reducing extraneous processing (i.e., cognitive processing that is unrelated to the instructional objective) include coherence (d = 0.70), signalling (d = 0.46), redundancy (d = 0.87), spatial contiguity (d = 0.79) and temporal contiguity (d = 1.30). Principles for managing essential processing (i.e., mentally representing the essential material) include segmenting (d = 0.70), pre-training (d = 0.46) and modality (d = 0.72). Principles for fostering generative processing (i.e., cognitive processing aimed at making sense of the material) include personalization (d = 0.79), voice (d = 0.74) and embodiment (d = 0.36). Some principles have boundary conditions, such as being stronger for low- rather than high-knowledge learners agents that use human-like gestures.

The effectiveness of a video tutorial versus a paper-based tutorial for software training has yet to be established. Mixed outcomes from the empirical studies to date suggest that for a video tutorial to outperform its paper-based counterpart, the former should be crafted so that it addresses the strengths of both designs. This was attempted in the present study. Two consecutive experiments were conducted to examine the effect of tutorial type (video vs. paper based) on task relevance, self-efficacy, mood, flow and task performance. Participants were students from junior high school. Both studies reported significant, positive contributions of the tutorials to task relevance, self-efficacy, mood and flow. Both studies also found significant and substantial effects on task performance. A learning gain of about 30% was achieved in both studies. A retention task, completed only in Study 2, further revealed that the learning effect was stable. More importantly, performance on this task also indicated a significant interaction with tutorial type, favouring the video. The success of the video tutorial is ascribed to its design, which attended to and even incorporated key qualities of paper-based tutorials, while also capitalizing on the strengths of video. [ABSTRACT FROM AUTHOR]