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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
Kevin Ackermans; Marjoke Bakker; Pierre Gorissen; Anne-Marieke Loon; Marijke Kral; Gino Camp – Journal of Computer Assisted Learning, 2024
Background: A practical test that measures the information and communication technology (ICT) skills students need for effectively using ICT in primary education has yet to be developed (Oh et al., 2021). This paper reports on the development, validation, and reliability of a test measuring primary school students' ICT skills required for…
Descriptors: Test Construction, Test Validity, Measures (Individuals), Elementary School Students
Pare, D. E.; Joordens, S. – Journal of Computer Assisted Learning, 2008
As class sizes increase, methods of assessments shift from costly traditional approaches (e.g. expert-graded writing assignments) to more economic and logistically feasible methods (e.g. multiple-choice testing, computer-automated scoring, or peer assessment). While each method of assessment has its merits, it is peer assessment in particular,…
Descriptors: Writing Assignments, Undergraduate Students, Teaching Assistants, Peer Evaluation

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