Year: 2024
Type: article
Study design: Observational Study
Abstract: Active learning comprises techniques that engage students in the construction of understanding. Different techniques may work best for different learning objectives. We study students’ perceptions of some active learning techniques (including a Python simulation and a game) and traditional techniques (such as lecture). Students engage actively with them all, though more with those influential in course grades and with some active learning techniques. They particularly enjoy most active learning techniques. All techniques are rated as effective for each learning objective, but to varying extents. Traditional techniques like exams are rated highest for remembering concepts (associated with lower order cognitive skills). In contrast, some active learning techniques are rated highest for objectives related to higher order cognitive skills, including learning to conduct research, though lectures performed surprisingly well for these objectives. Other technique-objective matches are intuitive. Our results imply that a mix of techniques may be optimal in course design.
Source: Advances in Economics Education
Authors: Sarah A. Jacobson, Luyao Zhang, Jiasheng Zhu
Institutions: Williams College, Duke Kunshan University
Language: English
Topic: Innovative Teaching Methods
Subfield: Education
Field: Social Sciences
Domain: Social Sciences
SDG: Quality education
Open Access status: green
Funder: Duke Kunshan University
OpenAlex ID: W4405314537