The impact of cognitive task complexity on mobile collaborative training

Iris Reychav, Dezhi Wu

Research output: Contribution to conferencePaperpeer-review

Abstract

Mobile collaborative training is getting increasing attention in today's mobile world. However, the field lacks solid empirical studies to understand how to effectively design mobile collaborative training systems in order to make user interactions more engaging and meaningful to mobile learners. Grounded upon cognitive load theory and Bloom's taxonomy, this paper proposes a research framework and a set of research questions to understand how cognitive task complexity interplays with user interactions on a mobile collaborative training platform, and how they collectively affect training outcomes and user perceptions about the training. Accordingly, we designed a set of mobile collaborative training field experiments, and we plan to recruit about 400 participants to work on different levels of cognitive complexity tasks while interacting with a noninteractive vs. an interactive mobile collaborative app. at an individual vs. a group work setting. The study is currently ongoing, and we expect this study will offer some useful insights to the mobile collaborative training sectors and academic institutions.

Original languageEnglish
StatePublished - 2016
Event2016 AIS SIGED International Conference on IS Education and Research - Dublin, Ireland
Duration: 11 Dec 201614 Dec 2016

Conference

Conference2016 AIS SIGED International Conference on IS Education and Research
Country/TerritoryIreland
CityDublin
Period11/12/1614/12/16

Keywords

  • Bloom's taxonomy
  • Cognitive load theory
  • Cognitive task complexity
  • Mobile collaborative training

All Science Journal Classification (ASJC) codes

  • Information Systems
  • Education

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