NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Seyma N. Yildirim-Erbasli; Guher Gorgun – Technology, Knowledge and Learning, 2025
Exploring the relationship between student ability and test-taking effort is an important area of study, offering insights into their approach to educational assessments. Previous research shows this relationship, yet there is a scarcity of research comparing the test-taking effort of students. In addition, researchers have frequently employed…
Descriptors: Ability, Test Wiseness, Predictor Variables, Student Reaction
Emit Snake-Beings; Andrew Gibbons; Ricardo Sosa – Teaching and Learning Research Initiative, 2024
This study explores learner engagement with Advanced Computational Thinking (ACT) in the New Zealand digital curriculum. "Advanced" in ACT refers to an expansive, transdisciplinary, and future-looking understanding of computational thinking (CT). ACT promotes CT beyond narrow modes of problem-solving (abstraction, algorithmic thinking,…
Descriptors: Computation, Thinking Skills, Shared Resources and Services, Learner Engagement
Julian Fraillon, Editor – International Association for the Evaluation of Educational Achievement, 2024
This book presents the first results from the third cycle of the IEA International Computer and Information Literacy Study (ICILS 2023). This study investigated how young people are prepared for life in a world where the capacity to use computers and digital information responsibly, safely, and effectively is essential. The study reports on data…
Descriptors: Foreign Countries, Digital Literacy, 21st Century Skills, Computer Literacy
Peer reviewed Peer reviewed
Direct linkDirect link
Robert L. Peach; Sophia N. Yaliraki; David Lefevre; Mauricio Barahona – npj Science of Learning, 2019
The widespread adoption of online courses opens opportunities for analysing learner behaviour and optimising web-based learning adapted to observed usage. Here, we introduce a mathematical framework for the analysis of time-series of online learner engagement, which allows the identification of clusters of learners with similar online temporal…
Descriptors: Learning Analytics, Web Based Instruction, Online Courses, Learner Engagement