Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
6-2018
Abstract
Bite-Sized teaching approach uses relatively small learning units with short term focused activities. The paper presents the effectiveness of Bite-Sized lecture pedagogy on learning outcomes for an analytics course offered by the School of Information Technology at Nanyang Polytechnic. The methodology involves breaking a typical 1 hour lecture into 3 to 4 short lectures followed by related tutorial / practical exercises relevant to each respective short lecture. The results from the exercises shows statistically significant improvements in the assessed learning outcomes for the Bite-Sized lecture over the traditional one hour lecture. 75% of the surveyed respondents agreed that the speed of course materials presented in the Bite-Sized lecture was just right. Majority of the respondents agreed or strongly agreed that Bite-Sized lecture helped them to learn better. Although this paper is primarily based on education experiences made within an analytics module, the findings presented are applicable to any other computing related courses or even mathematics related courses in general
Keywords
Bite-Sized lecture, mini lecture, short attention span, small learning units
Discipline
Computer Sciences | Educational Assessment, Evaluation, and Research | Instructional Media Design
Research Areas
Learning and Information Systems Education
Publication
4th International Conference on Higher Education Advances (HEAd’18), Valencia, Spain, 2018 June 20-22: Proceedings
First Page
515
Last Page
523
Identifier
10.4995/HEAD18.2018.8027
Publisher
HEAd
City or Country
Valencia
Citation
KOH, Noi Sian; GOTTIPATI, Swapna; and SHANKARARAMAN, Venky.
Effectiveness of bite-sized lecture on student learning outcomes. (2018). 4th International Conference on Higher Education Advances (HEAd’18), Valencia, Spain, 2018 June 20-22: Proceedings. 515-523.
Available at: https://ink.library.smu.edu.sg/sis_research/4075
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.4995/HEAD18.2018.8027
Included in
Computer Sciences Commons, Educational Assessment, Evaluation, and Research Commons, Instructional Media Design Commons