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Zehang Xie; Xinzhu Wu; Yunxiang Xie – Journal of Computer Assisted Learning, 2024
Background: With the development of artificial intelligence (AI) technology, generative AI has been widely used in the field of education and represents a groundbreaking shift in overcoming the constraints of time and space within educational activities. However, previous literature has not paid enough attention to AI-involved teaching patterns,…
Descriptors: Longitudinal Studies, Undergraduate Students, Robotics, Technology Uses in Education
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Lin, Xiao-Fan; Deng, Cailing; Hu, Qintai; Tsai, Chin-Chung – Journal of Computer Assisted Learning, 2019
Close links between students' conceptions of and approaches to learning were established in the past research. However, only a few quantitative studies investigated this relationship particularly with regard to mobile learning (m-learning). The correlation between learners' conceptions and approaches to m-learning was analysed using a partial…
Descriptors: Undergraduate Students, Student Attitudes, Telecommunications, Handheld Devices
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Leeuwestein, Hanneke; Barking, Marie; Sodaci, Hande; Oudgenoeg-Paz, Ora; Verhagen, Josje; Vogt, Paul; Aarts, Rian; Spit, Sybren; de Haas, Mirjam; de Wit, Jan; Leseman, Paul – Journal of Computer Assisted Learning, 2021
Providing first language (L1) translations in L2 vocabulary interventions may be beneficial for L2 vocabulary learning. However, in linguistically diverse L2 classrooms, teachers cannot provide L1 translations to all children. Social robots do offer such opportunities, as they can be programmed to speak any combination of languages. This study…
Descriptors: Native Language, Translation, Second Language Learning, Vocabulary Development
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Huang, Y-M.; Liu, C-J.; Shadiev, Rustam; Shen, M-H.; Hwang, W-Y. – Journal of Computer Assisted Learning, 2015
One major drawback of previous research on speech-to-text recognition (STR) is that most findings showing the effectiveness of STR for learning were based upon subjective evidence. Very few studies have used eye-tracking techniques to investigate visual attention of students on STR-generated text. Furthermore, not much attention was paid to…
Descriptors: Eye Movements, Assistive Technology, Visual Perception, Visual Stimuli