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Xiuyu Lin; Zehui Zhan; Xuebo Zhang; Jiayi Xiong – IEEE Transactions on Learning Technologies, 2024
The attribution of learning success or failure is crucial for students' learning and motivation. Effective attribution of their learning success or failure in the context of a small private online course (SPOC) could generate students' motivation toward learning success while an incorrect attribution would lead to a sense of helplessness. Based on…
Descriptors: Learning Analytics, Learning Processes, Learning Motivation, Attribution Theory
Yuchen Wang; Juxiang Zhou; Zijie Li; Shu Zhang; Xiaoyu Han – IEEE Transactions on Learning Technologies, 2024
Graded reading is one of the important ways of English learning. How to automatically judge and grade the difficulty of the English reading corpus is of great significance for precision teaching and personalized learning. However, the current rule-based readability assessment methods have some limitations, such as low efficiency and poor accuracy.…
Descriptors: Computational Linguistics, Reading Materials, Readability, Semantics
Hung, Cheng-Yu; Kuo, Fang-O.; Sun, Jerry Chih-Yuan; Yu, Pao-Ta – IEEE Transactions on Learning Technologies, 2014
This study, based on Taiwanese geographical concepts, develops a multi-touch interactive jigsaw puzzle (MIJP) to assist primary school students in solving geographical puzzles. The MIJP, which has multi-touch operating characteristics and provides two kinds of scaffolding tools, each with a different level of difficulty, can assist students in…
Descriptors: Foreign Countries, Teaching Methods, Educational Games, Educational Technology