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Direct linkYuhui Yang; Hao Zhang; Huifang Chai; Wei Xu – Interactive Learning Environments, 2023
The COVID-19 pandemic has accelerated the transformation of education forms, and the combination of online and offline teaching has become the core development direction of university teaching at present and in the future. Therefore, appropriate teaching space is urgently needed to support the practice of blended teaching. Firstly, this paper…
Descriptors: Intelligent Tutoring Systems, Instructional Design, Universities, Blended Learning
Gang Yang; Xiao-Qian Zheng; Qian Li; Miao Han; Yun-Fang Tu – Interactive Learning Environments, 2024
In Chinese, writing is a basic competency that pupils should possess. But it is still challenging for teachers to improve pupils' writing abilities. Therefore, this study proposes an intelligence-based cognitive diagnostic feedback strategy to improve pupils' writing ability and writing learning quality by analyzing their writing performance,…
Descriptors: Foreign Countries, Elementary School Students, Vocabulary Skills, Comparative Analysis
Download full textXu, Jia; Wei, Tingting; Lv, Pin – International Educational Data Mining Society, 2022
In an Intelligent Tutoring System (ITS), problem (or question) difficulty is one of the most critical parameters, directly impacting problem design, test paper organization, result analysis, and even the fairness guarantee. However, it is very difficult to evaluate the problem difficulty by organized pre-tests or by expertise, because these…
Descriptors: Prediction, Programming, Natural Language Processing, Databases
Ni, Aohua; Cheung, Alan – Education and Information Technologies, 2023
Previous studies have demonstrated the effectiveness of intelligent tutoring systems (ITS) in facilitating English learning. However, no empirical research has been conducted on secondary students' intention to use ITSs in the language domain. This study proposes an extended technology acceptance model (TAM) to predict secondary students'…
Descriptors: Intelligent Tutoring Systems, English (Second Language), Second Language Learning, Second Language Instruction
Qin, Fen; Li, Kai; Yan, Jianyuan – British Journal of Educational Technology, 2020
Artificial Intelligence (AI) has penetrated the field of education. Trust has long been regarded as a driver for the acceptance of technology. Netnography and interviews were used to investigate trust in AI-based educational systems from the perspective of users. We identified the factors influencing trust in AI-based educational systems and…
Descriptors: Trust (Psychology), Artificial Intelligence, Classification, Context Effect
Youdell, Deborah; Lindley, Martin; Shapiro, Kimron; Sun, Yu; Leng, Yue – British Journal of Sociology of Education, 2020
In this paper we begin to explore how knowledges being generated in bioscience might be brought into productive articulation with the Sociology of Education, considering the potential for emerging transdisciplinary, 'biosocial' approaches to enable new ways of researching and understanding pressing educational issues. In this paper, as in our…
Descriptors: Interdisciplinary Approach, Neurosciences, Diagnostic Tests, Brain Hemisphere Functions
Sampson, Demetrios G., Ed.; Spector, J. Michael, Ed.; Ifenthaler, Dirk, Ed.; Isaias, Pedro, Ed. – International Association for Development of the Information Society, 2013
These proceedings contain the papers of the IADIS International Conference on Cognition and Exploratory Learning in the Digital Age (CELDA 2013), October 22-24, 2013, which has been organized by the International Association for Development of the Information Society (IADIS), co-organized by The University of North Texas (UNT), sponsored by the…
Descriptors: Conference Papers, Cognitive Processes, Learning Processes, Short Term Memory
