Nisha Patel
Pronouns: She/her
Research Mentor(s): Stephanie Lu, Head of R&D
Research Mentor School/College/Department: , Ross School of Business
Presentation Date: Thursday, April 22, 2021
Session: Session 1 (10am-10:50am)
Breakout Room: Room 9
Presenter: 2
Abstract
A meta-analysis was undertaken to investigate different learning styles, educational gamification, and the use of technology to determine the effectiveness of K-12 students learning and educational development. Relevant studies used in this study include Wirkala & Kuhn, 2011; Duncan & Chinn, 200; Schmidt, Loyens, van Gog, & Paas, 2007. Over 30 other studies were analyzed and categorized into five different categories: Learning, Motivation/Engagement, Teacher Certification, Tests and Assessments, and Online Learning. These studies were also ranked using an A/B/C grading scale. Various learning mechanisms that significantly increased understanding, student motivation, long-term retention were drawn from these studies. The most prominent learning mechanisms include problem-based learning, machine learning, collaboration within teams, and simulation-based learning. Machine learning and gamification incentives proved to be the most effect “non-tradition” learning mechanism. These results are in line with the goal of this analysis. Additionally, our project is hoping to find out more information about the impact of teacher qualifications on the extent of K-12 student learning.
Authors: Nisha Patel, Steph Lu
Research Method: Library/Archival/Internet Research
