CompPrehension - Model-Based Intelligent Tutoring System on Comprehension Level

Autor:	Artem Prokudin, Nikita Penskoy, Anton Anikin, Oleg Sychev, Mikhail Denisov
Rok vydání:	2021
Předmět:	Comprehension Control flow Workflow Human–computer interaction Process (engineering) Computer science Cognitive skill Adaptive learning Intelligent tutoring system Domain (software engineering)
Zdroj:	Intelligent Tutoring Systems ISBN: 9783030804206 ITS
DOI:	10.1007/978-3-030-80421-3_6
Popis:	Intelligent tutoring systems become increasingly common in assisting human learners, but they are often aimed at isolated domain tasks without creating a scaffolding system from lower- to higher-level cognitive skills. We designed and implemented an intelligent tutoring system CompPrehension aimed at the comprehension level of Bloom’s taxonomy that often gets neglected in favour of the higher levels. The system features plugin-based architecture, easing adding new domains and learning strategies; using formal models and software reasoners to solve the problems and judge the answers; and generating explanatory feedback and follow-up questions to stimulate the learners’ thinking. The architecture and workflow are shown. We demonstrate the process of interacting with the system in the Control Flow Statements domain. The advantages and limits of the developed system are discussed.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::a3cb8dc903bd240b0e73fe0f58b4a91e https://doi.org/10.1007/978-3-030-80421-3_6 Zobrazit plný text záznamu