Improving Comprehension: Intelligent Tutoring System Explaining the Domain Rules When Students Break Them

• Published in: Education sciences Vol. 11; no. 11; pp. 719 - 744
• Main Authors: Sychev, Oleg, Penskoy, Nikita, Anikin, Anton, Denisov, Mikhail, Prokudin, Artem
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.11.2021
• Subjects: adaptive learning; Algorithms; Behavioral Objectives; Blooms taxonomy; Bloom’s taxonomy; Cognition & reasoning; Cognitive ability; cognitive learning; Comprehension; Computer Science Education; Computer Software Evaluation; constraint-based tutors; Educational objectives; Feedback; intelligent tutoring system; Intelligent Tutoring Systems; Learning; Learning Processes; Programming; Programming languages; Software; Students; Teaching Methods; Thinking Skills; Tutoring; Undergraduate Students

Intelligent tutoring systems have become increasingly common in assisting students but are often aimed at isolated subject-domain tasks without creating a scaffolding system from lower- to higher-level cognitive skills, with low-level skills often neglected. We designed and developed an intelligent...