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What Matters when Lectures Move Online? : = Measuring the Impact of Fluency, Modality, and Feedback on Students' Metacognitive Judgments and Learning.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
What Matters when Lectures Move Online? :/
其他題名:
Measuring the Impact of Fluency, Modality, and Feedback on Students' Metacognitive Judgments and Learning.
作者:
Kurpad, Nayantara.
面頁冊數:
1 online resource (104 pages)
附註:
Source: Dissertations Abstracts International, Volume: 84-03, Section: B.
Contained By:
Dissertations Abstracts International84-03B.
標題:
Cognitive psychology. -
電子資源:
http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=29320197click for full text (PQDT)
ISBN:
9798845440228
What Matters when Lectures Move Online? : = Measuring the Impact of Fluency, Modality, and Feedback on Students' Metacognitive Judgments and Learning.
Kurpad, Nayantara.
What Matters when Lectures Move Online? :
Measuring the Impact of Fluency, Modality, and Feedback on Students' Metacognitive Judgments and Learning. - 1 online resource (104 pages)
Source: Dissertations Abstracts International, Volume: 84-03, Section: B.
Thesis (Ph.D.)--University of Massachusetts Lowell, 2022.
Includes bibliographical references
Due to precautions associated with the COVID-19 pandemic, many courses were forced to shift online, thus quickly increasing the prevalence of online courses and video-recorded lectures. Recent data on student learning indicate that student engagement suffers when courses are delivered virtually; anecdotally, this finding is an agreement with instructors' experiences. Perhaps the decrease in student engagement could be due to their involvement in other activities while they "attend" lectures online (e.g., doing dishes, folding laundry). In three experiments, I evaluated the impact of various factors that could be influencing learning online-specifically, I manipulated lecturer fluency, information modality, and feedback and measured their effect on students' metacognitive judgments and actual learning performance. All experiments were conducted online. In Experiment 1, lecturer fluency (fluent or disfluent) and information modality (audio or video) were manipulated in a repeated measures design (Time 1 and Time 2). Students in the fluent lecturer conditions not only reported higher judgments of learning (JOLs) but also performed better on a measure of actual learning compared to those in the disfluent lecturer conditions. Additionally, students performed better when they listened to the lectures rather than viewed them (i.e., an audio superiority effect was observed). Further, student-participants' reported lower JOLs and exhibited higher learning performance at Time 2 (versus Time 1). Therefore, Experiment 2 aimed to further explore the impact of instructional modality (replicating elements of Experiment 1) in addition to feedback. Participants were provided false positive feedback, false negative feedback or were not provided any feedback after being presented a video or audio lecture. As in Experiment 1, JOLs decreased while actual learning performance increased at Time 2. Additionally, there was a significant effect of false feedback on participants' JOLs. Participants that received false negative feedback demonstrated lower JOLs at Time 2 than those that did not receive any feedback. However, unlike Experiment 1, there were no significant effects of modality on JOLs or learning performance. I next sought to investigate how feedback would impact study choice. Thus, Experiment 3 was a replication of Experiment 2, but participants were asked whether they wanted to restudy the lecture material prior to taking a test at both Time 1 and Time 2 (with feedback only preceding their Time 2 choice). While there were no significant main effects of the manipulated variables (i.e., modality or feedback), participants that chose to restudy the materials showed increased learning performance compared to those that chose not to restudy. The findings from these three experiments have important implications for online learning. For instance, feedback might be ineffective in improving students' learning unless it is individually tailored and concrete. The results also indicate that courses should be designed such that the same test format is administered consistently.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2023
Mode of access: World Wide Web
ISBN: 9798845440228Subjects--Topical Terms:
523881
Cognitive psychology.
Subjects--Index Terms:
FeedbackIndex Terms--Genre/Form:
542853
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Due to precautions associated with the COVID-19 pandemic, many courses were forced to shift online, thus quickly increasing the prevalence of online courses and video-recorded lectures. Recent data on student learning indicate that student engagement suffers when courses are delivered virtually; anecdotally, this finding is an agreement with instructors' experiences. Perhaps the decrease in student engagement could be due to their involvement in other activities while they "attend" lectures online (e.g., doing dishes, folding laundry). In three experiments, I evaluated the impact of various factors that could be influencing learning online-specifically, I manipulated lecturer fluency, information modality, and feedback and measured their effect on students' metacognitive judgments and actual learning performance. All experiments were conducted online. In Experiment 1, lecturer fluency (fluent or disfluent) and information modality (audio or video) were manipulated in a repeated measures design (Time 1 and Time 2). Students in the fluent lecturer conditions not only reported higher judgments of learning (JOLs) but also performed better on a measure of actual learning compared to those in the disfluent lecturer conditions. Additionally, students performed better when they listened to the lectures rather than viewed them (i.e., an audio superiority effect was observed). Further, student-participants' reported lower JOLs and exhibited higher learning performance at Time 2 (versus Time 1). Therefore, Experiment 2 aimed to further explore the impact of instructional modality (replicating elements of Experiment 1) in addition to feedback. Participants were provided false positive feedback, false negative feedback or were not provided any feedback after being presented a video or audio lecture. As in Experiment 1, JOLs decreased while actual learning performance increased at Time 2. Additionally, there was a significant effect of false feedback on participants' JOLs. Participants that received false negative feedback demonstrated lower JOLs at Time 2 than those that did not receive any feedback. However, unlike Experiment 1, there were no significant effects of modality on JOLs or learning performance. I next sought to investigate how feedback would impact study choice. Thus, Experiment 3 was a replication of Experiment 2, but participants were asked whether they wanted to restudy the lecture material prior to taking a test at both Time 1 and Time 2 (with feedback only preceding their Time 2 choice). While there were no significant main effects of the manipulated variables (i.e., modality or feedback), participants that chose to restudy the materials showed increased learning performance compared to those that chose not to restudy. The findings from these three experiments have important implications for online learning. For instance, feedback might be ineffective in improving students' learning unless it is individually tailored and concrete. The results also indicate that courses should be designed such that the same test format is administered consistently.
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