Lean Synchronization in Teaching and Learning: Evidence from a Quasi-Experiment in a Venture Capital (VC) Methods Class
| Autor: | Cfa Jeremy R. Degenhart, Kingsley Wabara |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Class (computer programming)
Knowledge management business.industry Computer science media_common.quotation_subject Venture capital Entrepreneurial finance Preparedness Synchronization (computer science) ComputingMilieux_COMPUTERSANDEDUCATION Psychological resilience business Empirical evidence Quasi-experiment media_common |
| Zdroj: | SSRN Electronic Journal. |
| ISSN: | 1556-5068 |
| DOI: | 10.2139/ssrn.3816137 |
| Popis: | Can “lean” teaching lead to “fat” learning? First, using a simple benefit maximization model, we characterize lean synchronization in teaching and learning as a distinctive pathway for maximizing aggregate students’ learning. Next, using a two-group post-test only quasi-experiment in an Entrepreneurial Finance class, we demonstrate how a lean synchronization in teaching and learning effort can be captured and evaluated. Our quasi-experiment provides new empirical evidence that lean-synchronization significantly improves aggregate students’ learning, with a non-positive change in the aggregate teaching and learning resources. We also show that improvements in aggregate students’ learning lead to higher aggregate students’ perceptions of multiple aspects of the delivery of a course. Overall, we argue that lean synchronization can enhance institutions’ general preparedness and resilience to unforeseen external shocks (e.g., the COVID-19 pandemic) and contribute to the proliferation of inclusive teaching and learning classrooms globally. |
| Databáze: | OpenAIRE |
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