Reza Hadi Mogavi
Hong Kong University of Science and Technology
25 Papers
17 Citations
Reza Hadi Mogavi is an academic researcher from Hong Kong University of Science and Technology. The author has contributed to research in topics: Computer science & Thematic analysis. The author has an hindex of 3, co-authored 7 publications. Previous affiliations of Reza Hadi Mogavi include University of Hong Kong.
Chat about Author
Papers
Student Barriers to Active Learning in Synchronous Online Classes: Characterization, Reflections, and Suggestions
TL;DR: In this paper, the authors focus on characterizing student barriers to active learning in synchronous online environments, and they adopt a qualitative research approach and study information from different sources: social media content, interviews, and surveys from students and expert educators.
Effects of ego networks and communities on self-disclosure in an online social network
Young D. Kwon,Reza Hadi Mogavi,Ehsan ul Haq,Youngjin Kwon,Xiaojuan Ma,Pan Hui +5 more
- 27 Aug 2019
TL;DR: This study provides the first attempt to shed light on theSelf-disclosure of users using the whole network structure, which paves the way to a better understanding of users' self-disclosing behaviors and their relations with overall network structures.
Characterizing Student Engagement Moods for Dropout Prediction in Question Pool Websites
TL;DR: In this article, a data-driven approach was adopted to identify five different engagement moods for QP students, which are namely challenge-seeker, subject-seekers, interest-searers, joy-seers, and non-seerers.
14
Charting the Future of AI in Project-Based Learning: A Co-Design Exploration with Students
Chengbo Zheng,Kangyu Yuan,Bingcan Guo,Reza Hadi Mogavi,Zhenhui Peng,Shuai Ma,Xiaojuan Ma +6 more
TL;DR: A co-design study to explore the potential of students' AI usage data as a novel material for PBL assessment and found students with different attitudes toward AI exhibited distinct preferences in how to analyze and understand the use of AI.
13
Student Barriers to Active Learning in Synchronous Online Classes: Characterization, Reflections, and Suggestions
Reza Hadi Mogavi,Yankun Zhao,Ehsan ul Haq,Pan Hui,Xiaojuan Ma +4 more
- 08 Jun 2021
TL;DR: In this article, the authors focus on characterizing student barriers to active learning in synchronous online environments, and they adopt a qualitative research approach and study information from different sources: social media content, interviews, and surveys from students and expert educators.
12