Description
Social media platforms have emerged as leading communication channels for social interaction and information sharing in the early part of the 21st century. In an ideal world, social media users should feel that they can interpret the social interactions they witness and the information that is shared on social media platforms as inherently honest and truthful; however, reality is very different. Social media platforms have become vehicles capable of spreading misinformation quickly and broadly. Information literacy offers a pathway for mitigating the negative consequences of misinformation found within various forms of content provided that instruction is contextually defined and applicable to the current information environment. A cognitive framework was used to help facilitate greater efficiency of learning information literacy practices.
The purpose of this study was to investigate the relationships between cognitive engagement and learning performance on an instructional module about misinformation on social media. A total of 133 undergraduate students participated in the study. They were surveyed for demographic characteristics, social media activity, and self-efficacy before being randomly assigned to one of four instructional conditions (passive, active, constructive, control). Additional measures included a pre-test, post-test and an instrument measuring users’ satisfaction with their instructional experience.
The study produced several statistically significant differences: (a) in the ability of demographic factors encompassing age, gender and years in college to predict the prior knowledge of misinformation on social media; (b) between the means of the three treatment and one control groups and their scores on the post-test assessment controlling for prior knowledge; and (c) between the means of the three treatment and one control groups and time necessary to complete instruction. Using a regression analysis, no significant differences were found with respect to information-focused self-efficacy factors being able to predict prior knowledge of misinformation on social media. The findings from this study can contribute to the basis of support for the use of the Interactive, Constructive, Active, Passive (ICAP) framework in assessing the use of cognitive engagement in designing instruction.
The purpose of this study was to investigate the relationships between cognitive engagement and learning performance on an instructional module about misinformation on social media. A total of 133 undergraduate students participated in the study. They were surveyed for demographic characteristics, social media activity, and self-efficacy before being randomly assigned to one of four instructional conditions (passive, active, constructive, control). Additional measures included a pre-test, post-test and an instrument measuring users’ satisfaction with their instructional experience.
The study produced several statistically significant differences: (a) in the ability of demographic factors encompassing age, gender and years in college to predict the prior knowledge of misinformation on social media; (b) between the means of the three treatment and one control groups and their scores on the post-test assessment controlling for prior knowledge; and (c) between the means of the three treatment and one control groups and time necessary to complete instruction. Using a regression analysis, no significant differences were found with respect to information-focused self-efficacy factors being able to predict prior knowledge of misinformation on social media. The findings from this study can contribute to the basis of support for the use of the Interactive, Constructive, Active, Passive (ICAP) framework in assessing the use of cognitive engagement in designing instruction.
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Details
Title
- The Effects of Cognitive Engagement while Learning about Misinformation on Social Media
Contributors
- Martinez, Tome Raymond (Author)
- Atkinson, Robert (Thesis advisor)
- Zuiker, Steven (Thesis advisor)
- Savenye, Wilhelmina (Committee member)
- Arizona State University (Publisher)
Date Created
The date the item was original created (prior to any relationship with the ASU Digital Repositories.)
2019
Resource Type
Collections this item is in
Note
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Doctoral Dissertation Educational Technology 2019