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Direct linkHéctor 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 reviewedPijls, Fieny; And Others – Instructional Science, 1987
Discusses grammar and spelling instruction in The Netherlands for students aged 10-15 and describes an intelligent computer-assisted instructional environment consisting of a linguistic expert system, a didactic module, and a student interface. Three prototypes are described: BOUWSTEEN and COGO for analyzing sentences, and TDTDT for conjugating…
Descriptors: Artificial Intelligence, Computer Assisted Instruction, Developed Nations, Dutch
Download full textInternational Association for Development of the Information Society, 2012
The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…
Descriptors: Academic Achievement, Academic Persistence, Academic Support Services, Access to Computers
