NotesFAQContact Us
Collection
Advanced
Search Tips
What Works Clearinghouse Rating
Showing 346 to 360 of 1,724 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Qu, Jia – Education and Information Technologies, 2021
Aiming at the challenges of mobile learning in the current big data environment and the current research status of teaching intelligent services(TIS), the article first explores the construction of mobile learning in the teaching intelligent service system(TISS) of colleges and universi-ties(C&U) from a big data driven perspective; secondly,…
Descriptors: Educational Research, Electronic Learning, Information Systems, Higher Education
Peer reviewed Peer reviewed
Direct linkDirect link
Goodyear, Peter; Carvalho, Lucila; Yeoman, Pippa – Educational Technology Research and Development, 2021
This paper provides a summary account of Activity-Centred Analysis and Design (ACAD). ACAD offers a practical approach to analysing complex learning situations, in a way that can generate knowledge that is reusable in subsequent (re)design work. ACAD has been developed over the last two decades. It has been tested and refined through collaborative…
Descriptors: Learning Analytics, Instructional Design, Learning Processes, Definitions
Peer reviewed Peer reviewed
Direct linkDirect link
Shin, Dongjo; Shim, Jaekwoun – International Journal of Science and Mathematics Education, 2021
Educational data mining is used to discover significant phenomena and resolve educational issues occurring in the context of teaching and learning. This study provides a systematic literature review of educational data mining in mathematics and science education. A total of 64 articles were reviewed in terms of the research topics and data mining…
Descriptors: Learning Analytics, Mathematics Education, Science Education, Educational Research
Peer reviewed Peer reviewed
Direct linkDirect link
Erdemci, Hüsamettin; Karal, Hasan – International Journal of Information and Learning Technology, 2021
Purpose: Learning analytics enable learning to be reorganized through collecting, analyzing and reporting the stored data in online learning environment. One of the important agents of education process is the instructors. How the use of learning analytics within education process is evaluated by the instructors is important. The purpose of this…
Descriptors: Teaching Experience, Learning Analytics, Data Use, Language Teachers
Peer reviewed Peer reviewed
Direct linkDirect link
Ariely, Moriah; Nazaretsky, Tanya; Alexandron, Giora – International Journal of Artificial Intelligence in Education, 2023
Machine learning algorithms that automatically score scientific explanations can be used to measure students' conceptual understanding, identify gaps in their reasoning, and provide them with timely and individualized feedback. This paper presents the results of a study that uses Hebrew NLP to automatically score student explanations in Biology…
Descriptors: Artificial Intelligence, Algorithms, Natural Language Processing, Hebrew
Peer reviewed Peer reviewed
Direct linkDirect link
Tong, Yao; Zhan, Zehui – Interactive Technology and Smart Education, 2023
Purpose: The purpose of this study is to set up an evaluation model to predict massive open online courses (MOOC) learning performance by analyzing MOOC learners' online learning behaviors, and comparing three algorithms -- multiple linear regression (MLR), multilayer perceptron (MLP) and classification and regression tree (CART).…
Descriptors: MOOCs, Online Courses, Learning Analytics, Prediction
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Swauger, Shea; Kalir, Remi – Journal of Learning Analytics, 2023
This article advances an abolitionist reframing of learning analytics (LA) that explores the benefits of productive disorientation, considers potential harms and care made possible by LA, and suggests the abolitionist imagination as an important educational practice. By applying abolitionist concepts to LA, we propose it may be feasible to open…
Descriptors: Learning Analytics, Justice, Imagination, Futures (of Society)
Peer reviewed Peer reviewed
Direct linkDirect link
Zhou, Jin; Ye, Jun-min – Interactive Learning Environments, 2023
Sentiment analysis (SA) is widespread across all fields and has become one of the most active topics in education research, and there is a growing body of papers published. So far, however, there has been little discussion about comprehensive literature reviews in SA in education. Therefore, this study aims to review the high-qualified scientific…
Descriptors: Educational Research, Electronic Learning, Psychological Patterns, Literature Reviews
Peer reviewed Peer reviewed
Direct linkDirect link
Ben-Yaacov, Anat; Hershkovitz, Arnon – Journal of Educational Computing Research, 2023
Block programming has been suggested as a way of engaging young learners with the foundations of programming and computational thinking in a syntax-free manner. Indeed, syntax errors--which form one of two broad categories of errors in programming, the other one being logic errors--are omitted while block programming. However, this does not mean…
Descriptors: Programming, Computation, Thinking Skills, Error Patterns
Peer reviewed Peer reviewed
Direct linkDirect link
Knoop-van Campen, Carolien A. N.; Wise, Alyssa; Molenaar, Inge – Interactive Learning Environments, 2023
Teacher dashboards provide real-time information about students' performance and progress, which help K-12 teachers to adjust feedback to student' specific needs during learning. Prior research indicated two problems with respect to how teachers provide feedback: (i) teachers do not always select the most effective feedback to support student'…
Descriptors: Educational Technology, Learning Analytics, Feedback (Response), Low Achievement
Peer reviewed Peer reviewed
Direct linkDirect link
Han, Insook; Obeid, Iyad; Greco, Devon – Technology, Knowledge and Learning, 2023
This report describes the use of electroencephalography (EEG) to collect online learners' physiological information. Recent technological advancements allow the unobtrusive collection of live neurosignals while learners are engaged in online activities. In the context of multimodal learning analytics, we discuss the potential use of this new…
Descriptors: Learning Analytics, Diagnostic Tests, Metacognition, Brain Hemisphere Functions
Peer reviewed Peer reviewed
Direct linkDirect link
Robinson, Bradley – Learning, Media and Technology, 2023
Emerging scholarship has brought critical attention to the increasing influence of digital platform architectures on learning across disciplines and contexts. Allied with such scholarship, this study examines how the logics of social media platforms create the conditions for new formations of literacy to emerge at the intersection of digital…
Descriptors: Electronic Learning, Video Games, Social Media, Literacy
Peer reviewed Peer reviewed
Direct linkDirect link
Yang, Tzu-Chi; Chen, Sherry Y. – Interactive Learning Environments, 2023
Individual differences exist among learners. Among various individual differences, cognitive styles can strongly predict learners' learning behavior. Therefore, cognitive styles are essential for the design of online learning. There are a variety of cognitive style dimensions and overlaps exist among these dimensions. In particular, Witkin's field…
Descriptors: Student Behavior, Educational Technology, Electronic Learning, Cognitive Style
Peer reviewed Peer reviewed
Direct linkDirect link
Li Chen; Xuewang Geng; Min Lu; Atsushi Shimada; Masanori Yamada – SAGE Open, 2023
Developed to maximize learning performance, learning analytics dashboards (LAD) are becoming increasingly commonplace in education. An LAD's effectiveness depends on how it is used and varies according to users' academic levels. In this study, two LADs and a learning support system were used in a higher education course to support students'…
Descriptors: Learning Analytics, Learning Management Systems, Cognitive Processes, Learning Strategies
Peer reviewed Peer reviewed
Direct linkDirect link
Greenhalgh, Spencer P.; DiGiacomo, Daniela K.; Barriage, Sarah – Information and Learning Sciences, 2023
Purpose: The purpose of this paper is to examine how higher education students think about educational technologies they have previously used -- and the implications of this understanding for their awareness of datafication and privacy issues in a postsecondary context. Design/methodology/approach: The authors conducted two surveys about students'…
Descriptors: Ethics, Privacy, Learning Management Systems, Learning Analytics
Pages: 1  |  ...  |  20  |  21  |  22  |  23  |  24  |  25  |  26  |  27  |  28  |  ...  |  115