Model-observer similarity and task-appropriateness in learning from video modeling examples: Do model and student gender affect test performance, self-efficacy, and perceived competence?. (December 2018)
- Record Type:
- Journal Article
- Title:
- Model-observer similarity and task-appropriateness in learning from video modeling examples: Do model and student gender affect test performance, self-efficacy, and perceived competence?. (December 2018)
- Main Title:
- Model-observer similarity and task-appropriateness in learning from video modeling examples: Do model and student gender affect test performance, self-efficacy, and perceived competence?
- Authors:
- Hoogerheide, Vincent
van Wermeskerken, Margot
van Nassau, Hilke
van Gog, Tamara - Abstract:
- Abstract: In video modeling examples, a human model demonstrates and explains how to perform a task. The model-observer similarity (MOS) hypothesis predicts that learners who perceive themselves to be more similar to the model will learn more from the examples and show greater self-efficacy gains. Findings have been mixed, however; possibly because perceptions of task-appropriateness might affect learning and self-efficacy independently of similarity views. Therefore, we examined whether the effectiveness of modeling examples on troubleshooting electrical circuits, a task typically perceived as more appropriate for males than females, would differ as a function of the gender of the model and the observer. Secondary education students ( N = 159) watched two video modeling examples, either by a male or a female model. The example content was kept equal. A manipulation check confirmed that students perceived same-gender models as more similar to them than opposite-gender models. They also perceived the task as more appropriate for males than females. Males performed somewhat better than females and showed higher confidence gains; however, model gender did not affect students' test performance, self-efficacy and perceived competence gains, effort investment, learning enjoyment, or perceived explanation quality. Our findings suggest that there is no need to take the model's gender into account when designing video modeling examples. Highlights: We examined whether model genderAbstract: In video modeling examples, a human model demonstrates and explains how to perform a task. The model-observer similarity (MOS) hypothesis predicts that learners who perceive themselves to be more similar to the model will learn more from the examples and show greater self-efficacy gains. Findings have been mixed, however; possibly because perceptions of task-appropriateness might affect learning and self-efficacy independently of similarity views. Therefore, we examined whether the effectiveness of modeling examples on troubleshooting electrical circuits, a task typically perceived as more appropriate for males than females, would differ as a function of the gender of the model and the observer. Secondary education students ( N = 159) watched two video modeling examples, either by a male or a female model. The example content was kept equal. A manipulation check confirmed that students perceived same-gender models as more similar to them than opposite-gender models. They also perceived the task as more appropriate for males than females. Males performed somewhat better than females and showed higher confidence gains; however, model gender did not affect students' test performance, self-efficacy and perceived competence gains, effort investment, learning enjoyment, or perceived explanation quality. Our findings suggest that there is no need to take the model's gender into account when designing video modeling examples. Highlights: We examined whether model gender affects learning from video modeling examples Secondary education students learned a physics task from a male or female model. Results confirmed that students perceived the task as more appropriate for males than females. Students perceived same-gender models as more similar to them than opposite-gender models. But no effects of model gender on test performance, self-efficacy, or perceived competence. … (more)
- Is Part Of:
- Computers in human behavior. Volume 89(2018)
- Journal:
- Computers in human behavior
- Issue:
- Volume 89(2018)
- Issue Display:
- Volume 89, Issue 2018 (2018)
- Year:
- 2018
- Volume:
- 89
- Issue:
- 2018
- Issue Sort Value:
- 2018-0089-2018-0000
- Page Start:
- 457
- Page End:
- 464
- Publication Date:
- 2018-12
- Subjects:
- Model-observer similarity -- Task-appropriateness -- Modeling -- Gender -- Video -- Multimedia learning
Interactive computer systems -- Periodicals
Man-machine systems -- Periodicals
004.019 - Journal URLs:
- http://www.sciencedirect.com/science/journal/07475632 ↗
http://www.elsevier.com/journals ↗ - DOI:
- 10.1016/j.chb.2017.11.012 ↗
- Languages:
- English
- ISSNs:
- 0747-5632
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 3394.921600
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 25857.xml