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Xu Yaqian; Zheng Qinhua – Interactive Learning Environments, 2024
The interactive mechanism between social and concept networks is a key question in connectivist learning, which explains the impact of interaction on cognitive development and knowledge generation. The successful practice of "Internet Change Education: Dialogue between Theory and Practice", the first cMOOC in China, provides data support…
Descriptors: Correlation, Social Networks, Status, MOOCs
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Lin, Jian-Wei; Tsai, Chia-Wen; Hsu, Chu-Ching – Interactive Learning Environments, 2023
Different e-learning technologies may offer different incentive factors, which influence behavioural intention. Moreover, when adopting a new e-learning technology for an extended period, learners' perceptions and learning behaviour may change during the learning period. Unfortunately, as formative assessments (FAs) are often continuously…
Descriptors: Comparative Analysis, Evaluation Methods, Formative Evaluation, Game Based Learning
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Thomas K. F. Chiu – Interactive Learning Environments, 2024
Generative artificial intelligence (GenAI) tools have become increasingly accessible and have impacted school education in numerous ways. However, most of the discussions occur in higher education. In schools, teachers' perspectives are crucial for making sense of innovative technologies. Accordingly, this qualitative study aims to investigate how…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Standards
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Li, Juan; Li, Zhe; Liu, Shuo-Fang; Cheng, Meng – Interactive Learning Environments, 2020
Traditional methods for conducting performance evaluations of academic courses are somewhat limited in that they are unable to account for both quantitative and qualitative data. For example, the data used to assess student performance in a typical industrial design course are generally complex, multi-criteria, multi-variable, and frequently vague…
Descriptors: Student Evaluation, College Students, Industrial Education, Design
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Zou, Di; Wang, Minhong; Xie, Haoran; Cheng, Gary; Wang, Fu Lee; Lee, Lap-Kei – Interactive Learning Environments, 2021
Personalized learning has become an important and powerful paradigm catering for various needs, styles, preferences, and modes of learning. Several methods including task recommendations and path planning have recently emerged to effectively implement personalized learning using e-learning systems. The literature shows that the use of task…
Descriptors: Linguistic Theory, Vocabulary Development, Second Language Learning, Second Language Instruction