Defining the Visual Complexity of Learning Management Systems Using Image Metrics and Subjective Ratings
| Autor: | Jessica C Sutton, Mehdi Niknam, Brenda M. Stoesz |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Visual perception
Computer science media_common.quotation_subject Short-term memory visual perception Machine learning computer.software_genre eye tracking 050105 experimental psychology Education Management of Technology and Innovation Perception user interface design 0501 psychology and cognitive sciences visual complexity media_common Communication design business.industry 05 social sciences Educational technology 050301 education learning management system Computer Science Applications User interface design Eye tracking Learning Management Artificial intelligence business 0503 education computer |
| Zdroj: | Canadian Journal of Learning and Technology, Vol 46, Iss 2 (2020) |
| ISSN: | 1499-6685 1499-6677 |
| Popis: | Research has demonstrated that students’ learning outcomes and motivation to learn are influenced by the visual design of learning technologies (e.g., learning management systems or LMS). One aspect of LMS design that has not been thoroughly investigated is visual complexity. In two experiments, postsecondary students rated the visual complexity of images of LMS after exposure durations of 50-500 ms. Perceptions of complexity were positively correlated across timed conditions and working memory capacity was associated with complexity ratings. Low-level image metrics were also found to predict perceptions of the LMS complexity. Results demonstrate the importance of the visual complexity of learning technologies and suggest that additional research on the impact of LMS design on learning outcomes is warranted. |
| Databáze: | OpenAIRE |
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