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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]

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 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]

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]