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Understanding Emotions in Online Learning: Using Emotional Design and Emotional Measurement to Unpack Complex Emotions During Collaborative Learning.

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Understanding Emotions in Online Learning: Using Emotional Design and Emotional Measurement to Unpack Complex Emotions During Collaborative Learning./
作者:	Hillaire, Garron Edward.
出版者:	Ann Arbor : ProQuest Dissertations & Theses, : 2021,
面頁冊數:	297 p.
附註:	Source: Dissertations Abstracts International, Volume: 83-03, Section: A.
Contained By:	Dissertations Abstracts International83-03A.
標題:	Universal design. -
電子資源:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=28723259
ISBN:	9798544212195

Understanding Emotions in Online Learning: Using Emotional Design and Emotional Measurement to Unpack Complex Emotions During Collaborative Learning.
Hillaire, Garron Edward.

Understanding Emotions in Online Learning: Using Emotional Design and Emotional Measurement to Unpack Complex Emotions During Collaborative Learning. - Ann Arbor : ProQuest Dissertations & Theses, 2021 - 297 p.

Source: Dissertations Abstracts International, Volume: 83-03, Section: A.

Thesis (Ph.D.)--Open University (United Kingdom), 2021.

This item must not be sold to any third party vendors.

Many educational researchers explore the role of emotion in learning and there are many new affordances for emotional measurement. Just as there are many options for emotional measurement there are many theories of emotion. When it comes to the measure of sentiment analysis recent findings suggest it is beneficial to online and blended learning research. The sentiment analysis technologies used for educational research are general purpose technologies suggesting that creating a measure designed for the context of learning would improve the alignment between the measure and context. In addition to aligning measure with the context, there is a need to consider how sentiment analysis relates to emotion theory to determine an appropriate method to evaluate the accuracy of sentiment analysis.In this PhD thesis I adopt the Constructed Theory of Emotion, which considers emotion as a collective intentionality indicating that consensus on emotion is the best approach toward examining accuracy. From this perspective I create a sentiment analysis measure in the context of learning to contribute to emotional learning analytics the emerging sub-field of learning analytics. The field of learning analytics acknowledges that design and measurement are intertwined. I adopt a design-based research approach by designing supports for emotional communication and examining how such a design impacts the accuracy of sentiment analysis. I then examine correlation analysis with other established measures of emotion. The results contribute to the field of emotional learning analytics by:• demonstrating promise for generating a classifier based on student perception• demonstrating benefits of supporting emotion expression in text for students• demonstrating that students' emotion expression in text does not appear to align with their internal emotional experiencesThese findings provide opportunities for further research and suggest caution should be used when interpreting sentiment analysis results in the context of learning.

ISBN: 9798544212195Subjects--Topical Terms:

1535191
Universal design.

Understanding Emotions in Online Learning: Using Emotional Design and Emotional Measurement to Unpack Complex Emotions During Collaborative Learning.
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