Abstract
PurposeAs online course enrollments increase, it is important to understand how common course features influence students' behaviors and performance. Asynchronous online courses often include a discussion forum to promote community through interaction between students and instructors. Students interact both socially and cognitively; instructors' engagement often demonstrates social or teaching presence. Students' engagement in the discussions introduces both intrinsic and extraneous cognitive load. The purpose of this study is to validate an instrument for measuring cognitive load in asynchronous online discussions.Design/methodology/approachThis study presents the validation of the NASA-TLX instrument for measuring cognitive load in asynchronous online discussions in an introductory physics course.FindingsThe instrument demonstrated reliability for a model with four subscales for all five discrete tasks. This study is foundational for future work that aims at testing the efficacy of interventions, and reducing extraneous cognitive load in asynchronous online discussions.Research limitations/implicationsNonresponse error due to the unincentivized, voluntary nature of the survey introduces a sample-related limitation.Practical implicationsThis study provides a strong foundation for future research focused on testing the effects of interventions aimed at reducing extraneous cognitive load in asynchronous online discussions.Originality/valueThis is a novel application of the NASA-TLX instrument for measuring cognitive load in asynchronous online discussions.
Subject
Computer Networks and Communications,Hardware and Architecture,Software
Reference63 articles.
1. Cognitive load and working memory in multimedia learning: conceptual and measurement issues;Educational Psychologist,2019
2. Comparison of course completion and student performance through online and traditional courses;The International Review of Research in Open and Distributed Learning,2013
3. Using subjective measures to detect variations of intrinsic cognitive load within problems;Learning and Instruction,2006
4. Ayres, P. (2018), “Subjective measures of cognitive load: what can they reliably measure?”, in Cognitive Load Measurement and Application: A Theoretical Framework for Meaningful Research and Practice, Routledge/Taylor & Francis Group, New York, NY, pp. 9-28.
5. Social cognitive theory in cultural context;Applied Psychology,2002