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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
Gruhn, Sophie; Segers, Eliane; Verhoeven, Ludo – Journal of Computer Assisted Learning, 2020
We investigated pictorial versus contextual support effects over and above teaching of definitions on children's word learning and retention as well as the moderating role of reading comprehension. In a between-subject pre-post-retention test control group design, Dutch fourth graders learned concrete and abstract Dutch words. The context group…
Descriptors: Reading Comprehension, Elementary School Students, Grade 4, Vocabulary Development

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