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Student Emotions in Conversation-Based Assessments | IEEE Journals & Magazine | IEEE Xplore

Student Emotions in Conversation-Based Assessments


Abstract:

Students can experience a variety of emotions while completing assessments. Some emotions can get in the way of students performing their best (e.g., anxiety, frustration...Show More

Abstract:

Students can experience a variety of emotions while completing assessments. Some emotions can get in the way of students performing their best (e.g., anxiety, frustration), whereas other emotions can facilitate student performance (e.g., engagement). Many new, non-traditional assessments, such as automated conversation-based assessments (CBA), are designed with the intention to create a test-taking experience that maximizes beneficial emotions for students and minimizes detrimental emotions. However, there is a paucity of research on students actual emotional experiences during these non-traditional assessments. Across two studies, we investigated students moment-to-moment emotions during two CBAs that differed on construct (science inquiry, mathematical reasoning) and environment (virtual world, chat box). We found a similar set of emotions to frequently occur across the two studies and came to the preliminary conclusion that students have a generally positive experience with CBAs and that boredom, confusion, curiosity, delight, engagement/flow, frustration, happiness/enjoyment, hope, and pride are the prevalent emotions in CBAs. The temporal dynamics of emotions as well as the emotion-performance relationship were also investigated across the two studies. Lastly, we discuss how these findings can inform the development of emotion-sensitive CBAs that can facilitate students being able to perform to the best of their ability.
Published in: IEEE Transactions on Learning Technologies ( Volume: 11, Issue: 1, 01 Jan.-March 2018)
Page(s): 41 - 53
Date of Publication: 13 March 2018

ISSN Information:

Educational Testing Service, Princeton, NJ, US
Blair A. Lehman received the PhD degree in cognitive psychology from the University of Memphis, in 2014. She is an associate research scientist in the Cognitive, Accessibility, & Technology Sciences (CATS) Center at the Educational Testing Service in Princeton, NJ. Her research interests include emotions during learning and assessment, the advantages of emotion-sensitive systems, natural language intera...Show More
Blair A. Lehman received the PhD degree in cognitive psychology from the University of Memphis, in 2014. She is an associate research scientist in the Cognitive, Accessibility, & Technology Sciences (CATS) Center at the Educational Testing Service in Princeton, NJ. Her research interests include emotions during learning and assessment, the advantages of emotion-sensitive systems, natural language intera...View more
Educational Testing Service, Princeton, NJ, US
Diego Zapata-Rivera received the PhD degree in computer science from the University of Saskatchewan, in 2003. He is a principal research scientist in the CATS Center at the Educational Testing Service in Princeton, NJ. His research has focused on the areas of score reporting and technology-enhanced assessment including adaptive learning environments and game-based assessments. His research interests als...Show More
Diego Zapata-Rivera received the PhD degree in computer science from the University of Saskatchewan, in 2003. He is a principal research scientist in the CATS Center at the Educational Testing Service in Princeton, NJ. His research has focused on the areas of score reporting and technology-enhanced assessment including adaptive learning environments and game-based assessments. His research interests als...View more

Educational Testing Service, Princeton, NJ, US
Blair A. Lehman received the PhD degree in cognitive psychology from the University of Memphis, in 2014. She is an associate research scientist in the Cognitive, Accessibility, & Technology Sciences (CATS) Center at the Educational Testing Service in Princeton, NJ. Her research interests include emotions during learning and assessment, the advantages of emotion-sensitive systems, natural language interactions for learning and assessment, conversation- and game-based assessments, and intelligent tutoring systems. She has authored papers on emotions during tutoring and won a best paper award for strategies to induce beneficial emotional states for learning at the Artificial Intelligence in Education Conference.
Blair A. Lehman received the PhD degree in cognitive psychology from the University of Memphis, in 2014. She is an associate research scientist in the Cognitive, Accessibility, & Technology Sciences (CATS) Center at the Educational Testing Service in Princeton, NJ. Her research interests include emotions during learning and assessment, the advantages of emotion-sensitive systems, natural language interactions for learning and assessment, conversation- and game-based assessments, and intelligent tutoring systems. She has authored papers on emotions during tutoring and won a best paper award for strategies to induce beneficial emotional states for learning at the Artificial Intelligence in Education Conference.View more
Educational Testing Service, Princeton, NJ, US
Diego Zapata-Rivera received the PhD degree in computer science from the University of Saskatchewan, in 2003. He is a principal research scientist in the CATS Center at the Educational Testing Service in Princeton, NJ. His research has focused on the areas of score reporting and technology-enhanced assessment including adaptive learning environments and game-based assessments. His research interests also include evidence-centered design, student models, conversation-based tasks, virtual communities, authoring tools, and program evaluation. He has produced more than 100 publications. He is a member of the Board of Special Reviewers of the User Modeling and User-Adapted Interaction journal and an associate editor of the IEEE Transactions on Learning Technologies. He is a member of the IEEE.
Diego Zapata-Rivera received the PhD degree in computer science from the University of Saskatchewan, in 2003. He is a principal research scientist in the CATS Center at the Educational Testing Service in Princeton, NJ. His research has focused on the areas of score reporting and technology-enhanced assessment including adaptive learning environments and game-based assessments. His research interests also include evidence-centered design, student models, conversation-based tasks, virtual communities, authoring tools, and program evaluation. He has produced more than 100 publications. He is a member of the Board of Special Reviewers of the User Modeling and User-Adapted Interaction journal and an associate editor of the IEEE Transactions on Learning Technologies. He is a member of the IEEE.View more
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