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In an authentic flight simulator, the instructor is traditionally located behind the learner and is thus unable to observe the pilot's visual attention (i.e. gaze behaviour). The focus of this article is visual attention in relation to pilots' professional learning in an Airbus A320 Full Flight Simulator. For this purpose, we measured and analysed pilots' visual scanning behaviour during flight simulation-based training. Eye-tracking data were collected from the participants (N = 15 pilots in training) to objectively and non-intrusively study their visual attention behaviour. First, we derived and compared the visual scanning patterns. The descriptive statistics revealed the pilots' visual scanning paths and whether they followed the expected flight protocol. Second, we developed a procedure to automate the analysis. Specifically, a Hidden Markov model (HMM) was used to automatically capture the actual phases of pilots' visual scanning. The advantage of this technique is that it is not bound to manual assessment based on graphs or descriptive data. In addition, different scanning patterns can be revealed in authentic learning situations where gaze behaviour is not known in advance. Our results illustrate that HMM can provide a complementary approach to descriptive statistics. Implications for future research are discussed, including how artificial intelligence in education could benefit from the HMM approach. [ABSTRACT FROM AUTHOR]

Although research has touted the value of making in educational settings, scant work has been done in formal school contexts utilizing quantitative methods. This could be attributed to the various challenges in integrating making in school settings. To fill in the gap, this study presents an approach to integrate making into science classes at the 3rd to 5th grade levels in a U.S. public school for four consecutive years (2015–2019). We examined the effect of the program on students' self-beliefs (self-efficacy, motivation, and self-concept) using a longitudinal quasi-experimental design. We also examined the effect of making on students' knowledge and skills using state testing data. Results suggest that when averaged across post school year surveys, students in maker classes (vs. control) reported higher self-efficacy beliefs in science and making as well as more interests in STEM-related careers. Moreover, over two school years, we observed that students in the control group experienced declines on some of our variables while our maker students did not. Data thereby speaks to the potential value and promise of integrating making into formal school settings. Practical implications are discussed. [ABSTRACT FROM AUTHOR]

Around the world, the number of English speakers and the significance of the English language are constantly increasing. Among various technology-supported instructional styles, Mobile Learning (M-Learning) has been recognized as a promising approach to enhance students' competencies and skills in the English language. By examining previous literature, a number of reviews have been performed to investigate the role of M-learning in the English language. However, none of these studies has highlighted the trends, opportunities, and challenges identified in the most cited articles that focused solely on the English language. Therefore, to address these limitations, this study performed a review of the top 100 most cited articles, published between 2007 and 2020, indexed by the Web of Science, and addressing the English language only. The results revealed that most research in Mobile English Language Learning (M-ELL) followed an experimental design and employed a single mobile learning implementation. Additionally, the current study identified a number of research areas that require additional research attention. For example, further research is needed among students learning from home, more qualitative research is needed, and additional research is required to improve students' higher-order thinking skills. The outcomes of this study provide a reference to researchers and educators who intend to use mobile technologies in the area of language education, especially in the context of the English language. [ABSTRACT FROM AUTHOR]

Although a large variety of methodologies, contexts and perspectives have been used to examine educational application of technology, there is a paucity of instruments that are designed to comprehensively evaluate the use of technology in education. This paper presents a Confirmatory Factor Analysis (CFA) of an instrument that incorporates eight key dimensions: learning, affective, behavioral, technology, design, pedagogy, presence/community, and institutional environment. These dimensions were derived from rigorous systematic literature review and field specialist validation processes. The model was then refined and empirically confirmed in this study by 1,352 participants undertaking a Coursera open online course. The results of applying the instrument, as well as qualitative feedback from participants, are shared to illustrate its breadth and utility. The final 28 item "Comprehensive Evaluation of Use of Technology in Education" instrument is provided in full to support consistent, holistic and robust evaluation and comparison of technology use across educational contexts. [ABSTRACT FROM AUTHOR]

The blended synchronous classroom fosters equitable and balanced educational development; however, challenges persist, including low motivation and suboptimal effects on the deep learning of remote students. This study employs a student-centered learning approach and incorporates the process-oriented guided inquiry learning (POGIL) strategy into the blended synchronous science classroom. In this study, 182 fourth-grade students from four primary classes in south China were allocated using a quasi-experimental approach; among these four classes, one class from the urban area (proximal end) and one from the remote area (remote end) were paired, forming two matched classes, which constituted experimental group and control group. The experimental group took POGIL instruction, while the control group took traditional synchronous classroom instruction. The results indicated that students in classes using the POGIL intervention scored significantly higher than those in non-POGIL classes and that the POGIL instructional intervention not only facilitated the learning of science knowledge of the remote students but also promoted proximal students’ learning of science knowledge. In terms of deep learning, remote students in the POGIL class demonstrated significantly higher abilities in problem-solving, collaboration, communication, autonomous learning, self-efficacy, and perseverance in learning. Students expressed satisfaction with this instructional strategy. This paper discusses the effectiveness of applying the POGIL instructional strategy in teaching and technology support in the blended synchronous science classroom. [ABSTRACT FROM AUTHOR]

The main drive for this study is to look into potential predictors of educational achievement using OECD's original Pisa 2018 dataset. This paper explores (i) access to ICT, (ii) physical characteristics of learning environment at school, (iii) quality of teaching staff and educational material, (iv) student characteristics and learning climate, and (v) political and economic structure of the country as potential true predictors of academic achievement. Our sample covers 41 countries and data used in our analysis are collected from 282,461 students distributed in 9,317 schools worldwide. Multiple linear regressions are developed and analyzed using stepwise estimation techniques. The results indicate that (i) availability of internet connection and enjoyable pastime activity at home have positive impacts on student's success, (ii) a strong correlation exists between high test scores and student characteristics & learning climate, i.e. students' sense of belonging at school, students' fear of failure and disciplinary climate, (iii) there is a negative relationship between academic performance and teacher enthusiasm & support, (iv) student success is negatively correlated with income level and political and economic freedoms but positively associated with economic competitiveness of a country, and (v) the students in lightly populated classes are more successful than those in overloaded ones and inadequate or poor educational material deteriorates educational outcomes. [ABSTRACT FROM AUTHOR]

While benefits of using computer simulations in teaching and learning are well documented, actual classroom usage remains sporadic. It is acknowledged in the literature that greater embrace of general computer use can be developed when teachers hold positive attitudes towards it. However, to date, studies that investigate teacher attitudes specifically on computer simulations are limited. In this study, the researchers interviewed 14 secondary school science teachers in Singapore, to qualitatively unpack the nuances of the affective, behavioral and cognitive dimensions of teacher attitudes towards computer simulation. Through inductive thematic analysis, the study found the cognitive dimension is the most pronounced and is mediated by perceived usefulness and usability of the tool, student engagement and suitability and teacher professional needs. The authors suggest four ways to foster positive teacher attitudes: (a) overcoming logistical issues with flexible teaching and learning environments, (b) foregrounding the pedagogy of student-centeredness, (c) demanding user-friendly simulation tools, and (d) meeting teachers' needs for professional growth. [ABSTRACT FROM AUTHOR]

Rigorous studies of the impact of digital games on student learning remain relatively rare, as do studies of games as supports for learning difficult, core curricular concepts in the context of normal classroom practices. This study uses a blocked, cluster randomized controlled trial design to test the impact of a digital game, played as homework prior to instruction, and associated supplemental instructional activities, on middle grade students' understanding of the process of photosynthesis. The role of the teacher as a potential moderator of the game's impact on student outcomes was also investigated, using Classroom Assessment Scoring System-Secondary Edition (CLASS-S) observations as a measure of instructional quality. Study findings demonstrate that the intervention did not have a significant impact on student understanding of photosynthesis. The interaction of treatment teachers' CLASS-S scores and students' average photosynthesis assessment scores approached significance. This study suggests that when digital games are used as a step in the process of learning difficult conceptual material, teachers may need support and guidance to make productive connections between in-game experiences and the target concepts. [ABSTRACT FROM AUTHOR]

The landscape of science education is being transformed by the new Framework for Science Education (National Research Council, A framework for K-12 science education: practices, crosscutting concepts, and core ideas. The National Academies Press, Washington, DC, ), which emphasizes the centrality of scientific practices-such as explanation, argumentation, and communication-in science teaching, learning, and assessment. A major challenge facing the field of science education is developing assessment tools that are capable of validly and efficiently evaluating these practices. Our study examined the efficacy of a free, open-source machine-learning tool for evaluating the quality of students' written explanations of the causes of evolutionary change relative to three other approaches: (1) human-scored written explanations, (2) a multiple-choice test, and (3) clinical oral interviews. A large sample of undergraduates ( n = 104) exposed to varying amounts of evolution content completed all three assessments: a clinical oral interview, a written open-response assessment, and a multiple-choice test. Rasch analysis was used to compute linear person measures and linear item measures on a single logit scale. We found that the multiple-choice test displayed poor person and item fit (mean square outfit >1.3), while both oral interview measures and computer-generated written response measures exhibited acceptable fit (average mean square outfit for interview: person 0.97, item 0.97; computer: person 1.03, item 1.06). Multiple-choice test measures were more weakly associated with interview measures ( r = 0.35) than the computer-scored explanation measures ( r = 0.63). Overall, Rasch analysis indicated that computer-scored written explanation measures (1) have the strongest correspondence to oral interview measures; (2) are capable of capturing students' normative scientific and naive ideas as accurately as human-scored explanations, and (3) more validly detect understanding than the multiple-choice assessment. These findings demonstrate the great potential of machine-learning tools for assessing key scientific practices highlighted in the new Framework for Science Education. [ABSTRACT FROM AUTHOR]

This paper reports the results of a qualitative study on the process of learning complex concepts in chemistry by four students as they worked with FLiPS (Flexible Learning in the Periodic System), a cognitive flexibility multi-media hypertext for learning about the periodic system of elements. A wide range of probes (think-alouds; navigation logs; observational notes, interviews; pre- and post-tests; epistemic beliefs survey; and background questionnaire) produced a rich data set for analysis. This data was analyzed to construct rich narrative case- and cross-case narratives of the participants' process of working and learning in this complex hypertext environment. This multi-level analysis offers insight both into the fine-grained process of use as well as the larger issues of the pedagogical significance of FLiPS. Our analysis reveals a complex relationship between epistemic beliefs, student motivation, prior knowledge, and process of learning from hypertext. We offer implications for future research, design and the application of pedagogical hypertexts. [ABSTRACT FROM AUTHOR]