Wei Wang
Simon Fraser University
4 Papers
32 Citations
Wei Wang is an academic researcher from Simon Fraser University. The author has contributed to research in topics: Medicine & Computer science. The author has an hindex of 1, co-authored 1 publications.
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Papers
Using Cognitive Tools in gStudy to Investigate How Study Activities Covary with Achievement Goals.
John C. Nesbit,Philip H. Winne,Dianne Jamieson-Noel,Jillianne Code,Mingming Zhou,Ken Mac Allister,Sharon Bratt,Wei Wang,Allyson F. Hadwin +8 more
TL;DR: In this article, the authors investigated links between students' achievement goal orientations and learning tactics using software (gStudy) that supports a variety of learning tactics and strategies, and found that mastery goal orientation was negatively related to amount of highlighting, a study tactic that is theorized to be less effective than summarizing and other forms of elaborative annotation for assembling and integrating knowledge.
Influences of Education App-Assisted Teaching Technology on Learning Efficacy of Learners
TL;DR: In this paper , the authors designed a questionnaire to investigate the influences of education app-assisted teaching technology on learners' learning efficiency, and the mediating effect of learning motivation in such influences was analyzed.
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The Impact of Sport Education on Chinese Physical Education Majors’ Volleyball Competence and Knowledge
TL;DR: In this article , 110 Chinese university students were randomly assigned to participate in 6 classes taught using either sport education or a more traditional teacher-directed style, and data were collected on the students' skill execution, game performance, and knowledge.
Virtual Summer Camp for High School Students with Disabilities - An Experience Report
Wei Wang,Kathy B. Ewoldt,Mimi Xie,Alberto M. Mestas-Nuñez,Sean Soderman,Jeffrey Wang +5 more
- 02 Mar 2023
TL;DR: In the past years, the authors held computer programming and machine learning summer camp for high-school students with disabilities as mentioned in this paper , which was primarily composed of hands-on activities for Python programming and Computer Vision.