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Héctor J. Pijeira-Díaz; Shashank Subramanya; Janneke van de Pol; Anique de Bruin – Journal of Computer Assisted Learning, 2024
Background: When learning causal relations, completing causal diagrams enhances students' comprehension judgements to some extent. To potentially boost this effect, advances in natural language processing (NLP) enable real-time formative feedback based on the automated assessment of students' diagrams, which can involve the correctness of both the…
Descriptors: Learning Analytics, Automation, Student Evaluation, Causal Models
Peer reviewedLewis, R. – Journal of Computer Assisted Learning, 1989
Describes activities of the Economic and Social Research Council (ESRC) in the United Kingdom related to ways that information technology may contribute to learning. Topics discussed include cognitive science; evaluation of changes in learning; language skills; learner-machine interface; policy and management issues; teacher education; computer…
Descriptors: Computer Literacy, Distance Education, Educational Administration, Educational Research

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