When Knowing More Means Knowing Less: Understanding the Impact of Computer Experience on e-Learning and e-Learning Outcomes
Electronic Journal of e-Learning Volume 7, Number 3, ISSN 1479-4403
Students often report feeling more overloaded in courses that use e-learning environments compared to traditional face-to-face courses that do not use such environments. Discussions here consider online design and organizational factors that might contribute to students' reports of information overload. It was predicted that certain online factors might contribute to stimulus overload and possibly students' perceived overload, rather than information overload per se. User characteristics and a range of design and organizational factors that might contribute to perceived overload are discussed and hypotheses of how such factors might affect learning outcomes are also discussed. An experiment was conducted to test predictions that (i) students' past online experience, (ii) the organization and relevance of online information, and (iii) the level of task difficulty affect (i) learning outcomes, (ii) students' perceptions of information overload, and (iii) students' perceptions of having enough time to complete experimental tasks. A total of 187 participants were tested in four experimental conditions that manipulated the organization and relevance of online material that students had to learn (ie, (i) a stimulus-low environment, where the material to be learned was presented as scrolling text, with no other stimuli present; (ii) a familiar environment, where the material to be learned was set within the borders of a familiar course Web site; (iii) a stimulus-rich or stimulus-noisy environment, where the material to be learned was set within the borders of an Amazon.com Web page (a Web site where you can search for, and buy books, videos and other products online); (iv) a PDF file environment, where the material to be learned was presented as a PDF file that resembled an online duplicate of the same material in the course textbook). Findings suggested that overly busy online environments that contain irrelevant information (ie, stimulus-rich or stimulus-noisy online environment) had a negative impact on learning for students ranked "high" on experience with e-learning technologies, but no impact on learning for other students (as measured by a knowledge test of material studied during experimental sessions). There is no doubt that online environments contain vast amounts of information and stimuli; often some of which are irrelevant and distracting. How one handles irrelevant or distracting information and stimuli can have a significant impact on learning. Surprisingly, results here suggest that overload affected only experienced students. Perceptual load hypotheses are discussed to explain what initially seemed to be counterintuitive results. This paper examines literature that considers factors that can affect learning online, strategies for how teachers can ensure positive outcomes for the technology-based classroom, and strategies for avoiding online pitfalls that might leave students frustrated or burdened with feelings of overload. (Contains 3 tables and 3 figures.)
Kushnir, L.P. (2009). When Knowing More Means Knowing Less: Understanding the Impact of Computer Experience on e-Learning and e-Learning Outcomes. Electronic Journal of e-Learning, 7(3), 289-300.
Cited ByView References & Citations Map
Think Before You Link: Understanding the Effects of Hypertext on Student Learning Outcomes and Reports of Overload
Lena Paulo Kushnir & Kenneth Berry, University of Toronto, Canada
EdMedia + Innovate Learning 2010 (Jun 29, 2010) pp. 701–710
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