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ERIC Number: EJ1457732
Record Type: Journal
Publication Date: 2024
Pages: 16
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-1537-2456
EISSN: EISSN-1943-5932
Available Date: N/A
Analyzing Student Success in a Blended Engineering Course Using Video Learning Analytics
Sudeshna Pal; Patsy Moskal; Anchalee Ngampornchai
International Journal on E-Learning, v23 n4 p489-504 2024
This study investigated the effectiveness of blended instruction in enhancing student success in an advanced undergraduate engineering course. The research used learning analytics captured from pre-recorded lecture videos, course grade data, and student surveys. Results revealed positive correlations between lecture video viewership and course grades, with students demonstrating high satisfaction and improved success rates in the blended format. The findings suggest that video analytics can serve as an effective predictor of student performance in blended engineering courses.
Association for the Advancement of Computing in Education. P.O. Box 719, Waynesville, NC 28786. Tel: 828-246-9558; Fax: 828-246-9557; e-mail: info@aace.org; Web site: http://www.aace.org
Publication Type: Journal Articles; Reports - Research
Education Level: Higher Education; Postsecondary Education
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A