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Direct linkChia-Ju Lin; Wei-Sheng Wang; Hsin-Yu Lee; Yueh-Min Huang; Ting-Ting Wu – Journal of Educational Computing Research, 2025
This study uses a quasi-experimental design to explore the role of natural language processing (NLP) and speech recognition technologies in supporting teacher interventions during collaborative STEM activities. The Speech Recognition Keywords Analysis System (SRKAS) was developed to extract keywords from student discussions, enabling real-time…
Descriptors: Natural Language Processing, Computational Linguistics, Technology Uses in Education, STEM Education
Huang, Xiaoxia; Mayer, Richard E. – Journal of Educational Computing Research, 2019
This study investigated the effectiveness of adding four self-efficacy features to an online statistics lesson, based on Bandura's four sources of self-efficacy information. In a randomized between-subjects experiment, participants learned statistical rules in an example-based online environment with four self-efficacy features added (treatment…
Descriptors: Self Efficacy, Online Courses, Statistics, Teaching Methods
Huang, Ching-Ting; Yang, Shu Ching – Journal of Educational Computing Research, 2015
This study examines the effects of two types of online remedial reading interventions on the reading strategy and comprehension, motivational beliefs, and self-efficacy of 36 low-achieving students (explicit teaching before reciprocal teaching [ET-RT] vs. direct instruction [DI]). We designed a 10-unit online remedial English reading program based…
Descriptors: Reciprocal Teaching, Reading Strategies, Reading Comprehension, Self Efficacy
