H
Hengtao Tang
Researcher at University of South Carolina
Publications - 54
Citations - 442
Hengtao Tang is an academic researcher from University of South Carolina. The author has contributed to research in topics: Computer science & Educational technology. The author has an hindex of 9, co-authored 27 publications receiving 188 citations. Previous affiliations of Hengtao Tang include Pennsylvania State University.
Papers
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Beyond positive and negative emotions: Looking into the role of achievement emotions in discussion forums of MOOCs
Wanli Xing,Hengtao Tang,Bo Pei +2 more
TL;DR: A machine learning model is built and validated to automatically detect the achievement emotions in the forum posts and shows a different influencing mechanism for expressed and exposed achievement emotions on student survival in the MOOC course.
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Exploring the Temporal Dimension of Forum Participation in MOOCs.
Hengtao Tang,Wanli Xing,Bo Pei +2 more
TL;DR: In this paper, discussion forums are increasingly central to massive open online courses (MOOCs), and it is vital for learners to participate in associated forum activities, and active forum participation positively positively affects course performance.
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Understanding K‐12 teachers’ intention to adopt open educational resources: A mixed methods inquiry
TL;DR: In this paper, a mixed methods inquiry, implementing the technology acceptance model, integrated qualitative and quantitative findings to obtain a comprehensive understanding of teachers? intentions of adopting OER in K-12 settings.
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Implementing open educational resources in digital education.
TL;DR: This special issue article extends Hilton’s (2016) synthesized findings by presenting four additional perspectives in research, design, culture, practice about implementing OER in digital education.
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Time Really Matters: Understanding the Temporal Dimension of Online Learning Using Educational Data Mining.
Hengtao Tang,Wanli Xing,Bo Pei +2 more
TL;DR: Using data mining techniques for education, the study validated longitudinal patterns of participation as an accurate measure for differentiating learner performance and identified the most critical moment in which educators should provide efficient interventions to help their learners maintain active participation.