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Direct linkXia, Xiaona – Interactive Learning Environments, 2023
Interactive learning environments can generate massive learning behavior data and the support of learning behavior big data can ensure the completeness of data analysis and robustness of relationship verification. In this study, learning behaviors are divided into training set and testing set, BP neural network and recurrent Elman network are…
Descriptors: Interaction, Intervention, Student Behavior, Educational Environment
Chen, Wei-Wen; Chen, Ching-Chen; Dai, Chia-Liang; U, Nok Man; Cheng, Lin – Interactive Learning Environments, 2018
The incremental theory of intelligence has been identified as a strong predictor of students' learning motivation. Recent research has suggested various moderators of its effect. The present study sought to examine the moderating effects of self-enhancement and self-criticism on the relation between incremental intelligence beliefs and students'…
Descriptors: Foreign Countries, Intelligence, Student Motivation, Junior High School Students
Hung, Shao-Ting Alan; Huang, Heng-Tsung Danny – Interactive Learning Environments, 2016
The study investigated the usefulness of blogs in evaluating English-as-a-Foreign-Language learners' oral performance and explored their reactions toward using blogs as a learning and assessment tool for English-speaking performance. Fifty-one college students participated in a semester-long blog project, and each uploaded five audio entries to…
Descriptors: Electronic Publishing, English (Second Language), Language Skills, College Students
