Learning effectiveness of virtual entrepreneurship programs: A multilevel evaluation framework

Fuhe Jin, Tomomi Kito, Waseda Shimaoka, Hiroki Sayama, Chun-Han Chao, Chou-Yu Tsai

Research output: Chapter in Book/Report/Conference proceedingConference abstract in proceedingsScientific

Abstract

With the expansion in entrepreneurship, the number of entrepreneurship education programs worldwide has increased significantly. Meanwhile, the advancement of computer information technology and the COVID-19 pandemic have contributed/forced immensely to the implications of virtual tools in entrepreneurship education programs. This rise forces entrepreneurship educators to overcome challenges associated with technology-mediated communications that limit social participation and interactions that substantially constitute students' learning and cognitive development. To address the needs of evaluating the effectiveness of virtual entrepreneurship education, we measured students' learning and growth in a Zoom-based entrepreneurship education program. With a longitudinal design, we applied machine- learning algorithms with network analysis and growth modeling to analyze the program's effectiveness in student learning. The results from network analysis indicated that high-performing teams displayed more equally distributed communication structures, while those of low- performing teams were more centralized. Growth modeling successfully captured students' enhanced entrepreneurial intentions at the end of the program; such growth patterns were distinctive between students with different personal characteristics (i.e., perspective-taking and imaginative capability). In sum, the proposed multilevel analytical framework and the current study's findings can be used to offer the best practices for entrepreneurship education programs and applicable methodologies for educators utilizing virtual learning systems.
Original languageEnglish
Title of host publicationAcademy of Management Proceedings
PublisherAcademy of Management
Publication statusPublished - 2022
MoE publication typeNot Eligible
Event82nd Annual Meeting of the Academy of Management - Seattle, United States
Duration: 5 Aug 20229 Aug 2022

Publication series

SeriesAcademy of Management Proceedings
Number1
Volume2022
ISSN0065-0668

Conference

Conference82nd Annual Meeting of the Academy of Management
Country/TerritoryUnited States
CitySeattle
Period5/08/229/08/22

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