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Direct linkXiang Feng; Keyi Yuan; Xiu Guan; Longhui Qiu – Interactive Learning Environments, 2024
Datasets are critical for emotion analysis in the machine learning field. This study aims to explore emotion analysis datasets and related benchmarks in online learning, since, currently, there are very few studies that explore the same. We have scientifically labeled the topic and nine-category emotion of 4715 comment texts in online learning…
Descriptors: MOOCs, Psychological Patterns, Artificial Intelligence, Prediction
Qi, Dan; Zhang, Mingli; Zhang, Yan – Interactive Learning Environments, 2023
With the ever-increasing adoption of MOOCs, the study of MOOCs learning behavior has been paid more and more attention, both in practice and in academia. This study aims to understand the impact of resource integration (including platform resources, teacher resources, and learner resources) on learners' perception of value co-creation (including…
Descriptors: MOOCs, Student Attitudes, Intention, Academic Persistence
Zhongling Pi; Renjia Liu; Hongjuan Ling; Xingyu Zhang; Shuo Wang; Xiying Li – Interactive Learning Environments, 2024
A video lecture instructor exhibiting positive emotion has been shown to induce similar emotions in students, improving the students' motivation and increasing their attention, thus improving their learning performance. However, little systematic research exists on which specific design features with regards to the instructor can induce such…
Descriptors: Foreign Countries, Undergraduate Students, Nonverbal Communication, Affective Behavior
Qian Fu; Wenjing Tang; Yafeng Zheng; Haotian Ma; Tianlong Zhong – Interactive Learning Environments, 2024
In this study, a predictive model is constructed to analyze learners' performance in programming tasks using data of programming behavioral events and behavioral sequences. First, this study identifies behavioral events from log data and applies lag sequence analysis to extract behavioral sequences that reflect learners' programming strategies.…
Descriptors: Predictor Variables, Psychological Patterns, Programming, Self Management
Tao, Da; Fu, Pei; Wang, Yunhui; Zhang, Tingru; Qu, Xingda – Interactive Learning Environments, 2022
In spite of the proliferation of Massive Open Online Courses (MOOCs) in higher education, factors influencing user acceptance of MOOCs are not well understood. This study is intended to investigate key characteristics of user acceptance from interface design (i.e. usability), content quality (i.e. perceived quality), and emotional arousal (i.e.…
Descriptors: MOOCs, Computer Attitudes, Educational Technology, Technology Uses in Education
Chiang, Feng-Kuang; Liu, Yan-qiu; Feng, Xiran; Zhuang, Yaoxian; Sun, Yulong – Interactive Learning Environments, 2023
Educational robots have been widely used in STEM education because they are operable and programmable. Robotics competitions for primary- and secondary-school students are becoming increasingly popular. The World Robot Olympiad (WRO) is an international robotics competition; each group of participants builds a robot with LEGO based on a challenge…
Descriptors: Robotics, Competition, Student Participation, STEM Education
Yajun Wu; Xia Kang; Lisheng Li – Interactive Learning Environments, 2024
Previous studies have verified that teacher-student relationship quality has a positive effect on students' academic engagement. Few studies, however, have examined whether school psychological capital mediates the linkage between teacher-student relationship and academic engagement. The present study aimed to examine the mediated role of school…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Language Teachers
