Aim/Purpose: Extant research provides conflicting information regarding the role that lecture behaviors play within e-learning lectures. This study sought to understand what role motivation plays in increasing the likelihood that students engage in lecture behaviors in general, and how motivation affects the differing types of lecture behaviors. Background: The growth of online learning has increased the importance of video lectures as a means of delivering content. As with offline lectures, students may find it useful to adapt and change the way they interact with lectures to improve their learning. One possible approach that allows students to effectively manage any challenges they have in understanding a lesson is to initiate lecture behaviors to alter the flow of information. Methodology: In the present study, a survey was administered to cyber university students (n = 2434) in order to examine at the relationship between intrinsic goal orientation (a type of motivation) and levels of lecture behaviors. Contribution: This research fills an important gap by showing the effects that motivation can have on how students interact with video lectures and suggests the ways in which students engaging in specific lecture behaviors do so in order to gain a better understanding of the content. As lecture behaviors are an important part of how students are interacting with this important and new method of teaching, it is important to understand which characteristics make students more likely to engage in lecture behaviors. Findings: Students who have higher levels of motivation are more likely to engage in lecture behaviors. These lecture behaviors may include splitting attention between media sources, pausing the video lecture, rewatching parts of the video lecture, and diverting attention to obtain better audio or visual clarity. Recommendations for Practitioners: Instead of just tracking students’ viewing progress on each course lecture video, instructors should further endeavor to measure their students’ use lecture behaviors in relation to online course lecture content. Doing so can provide valuable insight into students’ level of engagement with course lecture materials and overall levels of intrinsic goal orientation. Recommendation for Researchers: Researchers need to start factoring in how student characteristics interact with instructional engagement when investigating online learning. Impact on Society: Improvement in our understanding of online learning helps improve the quality of instruction, which provides a net gain for society. Future Research: This paper is a broad overview using a survey, so future research should focus on a more detailed analysis of lecture behaviors, possibly using controlled experiments.

Online instructors need to avoid unclear and confusing explanations of content, which can reduce the quality of learning. Extraneous load is reflective of poor instruction, in that it directs student effort towards processing information that does not contribute to learning. However, students may be able to manage poor instruction through effort regulation. Students who show high levels of effort have been shown to overcome poor instruction in some cases. This study analyzed survey responses from South Korean university students studying online (n = 1,575) to examine the relationship between self-regulated effort and germane load within varying extraneous load conditions. The experimental design separated extraneous load responses into three conditions (low, medium, high). Within each extraneous load condition, self-regulated effort responses were also separated (low, medium, high). The results showed that as extraneous load increased, self-regulated effort had a weaker relationship with germane load. It was also found that the use of effort regulation is effective only when dealing with low and mid-level extraneous load situations and that use of such strategies within high extraneous load situations was not effective. These results show the importance of imp roving instruction to reduce extraneous cognitive load, in that, not even high levels of effort can overcome poor quality instruction.

Abstract. This study investigates the changes in levels of critical thinking and interaction between 50 participants on an online forum. This change was measured by 4 samples of 100 posts taken over 13 weeks. This study shows that levels of critical thinking will steadily increase, and that the amount of different interactions the participants make will steadily decrease over the course of a semester. This study is important because it shows levels of change in critical thinking and interaction in a largely unregulated online discussion forum.

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