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Paraskevi Topali; Ruth Cobos; Unai Agirre-Uribarren; Alejandra Martínez-Monés; Sara Villagrá-Sobrino – Journal of Computer Assisted Learning, 2024
Background: Personalised and timely feedback in massive open online courses (MOOCs) is hindered due to the large scale and diverse needs of learners. Learning analytics (LA) can support scalable interventions, however they often lack pedagogical and contextual grounding. Previous research claimed that a human-centred approach in the design of LA…
Descriptors: Learning Analytics, MOOCs, Feedback (Response), Intervention
Mohammad Nayef Ayasrah; Mohamad Ahmad Saleem Khasawneh; Mazen Omar Almulla; Amoura Hassan Aboutaleb – Journal of Computer Assisted Learning, 2025
Background: One area that has been dramatically changed by artificial intelligence (AI) is educational environments. Chatbots, Recommender Systems, Adaptive Learning Systems and Large Language Models have been emerging as practical tools for facilitating learning. However, using such tools appropriately is challenging. In this regard, the…
Descriptors: Test Construction, Test Validity, Test Reliability, Rating Scales
Porter, J. – Journal of Computer Assisted Learning, 2018
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…
Descriptors: Down Syndrome, Computer Software, Learning Problems, Handheld Devices
Callaghan, M. N.; Long, J. J.; van Es, E. A.; Reich, S. M.; Rutherford, T. – Journal of Computer Assisted Learning, 2018
As more attention is placed on designing digital educational games to align with schools' academic aims (e.g., Common Core), questions arise regarding how professional development (PD) may support teachers' using games for instruction and how such integration might impact students' achievement. This study seeks to (a) understand how teachers use…
Descriptors: Computer Games, Teaching Methods, Computer Assisted Instruction, Faculty Development
Peer reviewedMillar, R. – Journal of Computer Assisted Learning, 1991
It is argued that science's reputation as a "hard" subject can be attributed to four intrinsic features of science and/or learners. The reasons for a link between abstraction and difficulty are briefly explored. It is suggested that certain extrinsic features of science education, resulting from choices by science educators, exacerbate these…
Descriptors: Abstract Reasoning, Course Content, Decision Making, Inquiry

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