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Wampfler, Rafael; Klingler, Severin; Solenthaler, Barbara; Schinazi, Victor R.; Gross, Markus – International Educational Data Mining Society, 2019
The role of affective states in learning has recently attracted considerable attention in education research. The accurate prediction of affective states can help increase the learning gain by incorporating targeted interventions that are capable of adjusting to changes in the individual affective states of students. Until recently, most work on…
Descriptors: Affective Behavior, Prediction, Problem Solving, Mathematics
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Jong, Cindy; Dueber, David; Schack, Edna O.; Fisher, Molly H.; Thomas, Jonathan – North American Chapter of the International Group for the Psychology of Mathematics Education, 2019
This research report describes a study that explored the intersections of professional noticing of children's mathematical thinking (PN), pedagogical content knowledge (PCK), and affective domains with preservice elementary teachers (PSETs). An instructional module on professional noticing, as defined by Jacobs, Lamb, and Philipp (2010), included…
Descriptors: Attention, Affective Behavior, Pedagogical Content Knowledge, Mathematics Skills
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Wampfler, Rafael; Emch, Andreas; Solenthaler, Barbara; Gross, Markus – International Educational Data Mining Society, 2020
Front camera data from tablets used in educational settings offer valuable clues to student behavior, attention, and affective state. Due to the camera's angle of view, the face of the student is partially occluded and skewed. This hinders the ability of experts to adequately capture the learning process and student states. In this paper, we…
Descriptors: Photography, Handheld Devices, Student Behavior, Affective Behavior
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Peterson, Amy T.; Beymer, Patrick Neil; Putnam, Ralph T. – AERA Online Paper Repository, 2018
Supporting productive peer-to-peer interaction is a central challenge in online courses. Although cooperative learning research provides robust evidence for the positive outcomes of face-to-face cooperative learning (Johnson & Johnson, 1989), online modes of cooperative learning have provided mixed results. This study examines the effects of…
Descriptors: Synchronous Communication, Asynchronous Communication, Computer Mediated Communication, Peer Relationship
Chen, Yuxuan; Bosch, Nigel; D'Mello, Sidney – International Educational Data Mining Society, 2015
The current paper explores possible solutions to the problem of detecting affective states from facial expressions during text/diagram comprehension, a context devoid of interactive events that can be used to infer affect. These data present an interesting challenge for face-based affect detection because likely locations of affective facial…
Descriptors: Affective Behavior, Nonverbal Communication, Video Technology, Comprehension
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Vail, Alexandria K.; Wiggins, Joseph B.; Grafsgaard, Joseph F.; Boyer, Kristy Elizabeth; Wiebe, Eric N.; Lester, James C. – International Educational Data Mining Society, 2016
Tutorial dialogue is a highly effective way to support student learning. It is widely recognized that tutor dialogue moves can significantly influence learning outcomes, but the ways in which tutor moves, student affective response, and outcomes are related remains an open question. This paper presents an analysis of student affective response, as…
Descriptors: Affective Behavior, Questioning Techniques, Emotional Response, Nonverbal Communication
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Zeng, Ziheng; Chaturvedi, Snigdha; Bhat, Suma – International Educational Data Mining Society, 2017
Characterizing the nature of students' affective and emotional states and detecting them is of fundamental importance in online course platforms. In this paper, we study this problem by using discussion forum posts derived from large open online courses. We find that posts identified as encoding confusion are actually manifestations of different…
Descriptors: Online Courses, Large Group Instruction, Educational Technology, Technology Uses in Education
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Sims, Wendy L. – Journal of Research in Music Education, 2016
In her acceptance address, Wendy Sims provides a unique perspective based on thoughts and reflections resulting from her 8 years of service as the ninth Editor of the "Journal of Research in Music Education" ("JRME"). Specifically, she addresses how college-level music education researchers can promote positive attitudes toward…
Descriptors: Researchers, Awards, Speeches, Graduate Students
Whitten, Damon – Mathematics Education Research Group of Australasia, 2013
This paper explores how beliefs about mathematics may influence low-achieving adults' re-engagement with mathematics in the tertiary sector. Adult learners who have problematic mathematical histories often hold negative beliefs about the nature of mathematics and how it is learned. In New Zealand these adults are often required to re-engage in…
Descriptors: Beliefs, Mathematics, Low Achievement, Postsecondary Education
Wang, Yutao; Heffernan, Neil T.; Heffernan, Cristina – Grantee Submission, 2015
The well-studied Baker et al., affect detectors on boredom, frustration, confusion and engagement concentration with ASSISTments dataset were used to predict state tests scores, college enrollment, and even whether a student majored in a STEM field. In this paper, we present three attempts to improve upon current affect detectors. The first…
Descriptors: Majors (Students), Affective Behavior, Psychological Patterns, Predictor Variables
Hayes, Paul; Weibelzahl, Stephan; Hall, Tim – International Association for Development of the Information Society, 2013
Learning in the affective domain includes the manner by which people deal with things emotionally, such as feelings, values, appreciation, enthusiasms, motivations and attitudes. While out-of-class communication between instructors and students can impact all types of student learning it has its greatest impact on student affective learning. One…
Descriptors: Technology Uses in Education, Educational Technology, Telecommunications, Handheld Devices
Esterhuizen, Hendrik D.; Blignaut, A. Seugnet; Els, Christo J.; Ellis, Suria M. – Association for the Advancement of Computing in Education, 2012
This paper addresses the affective human experiences in terms of the emotions of South African teacher-students while attaining computer competencies for teaching and learning, and for ODL. The full mixed method study investigated how computers contribute towards affective experiences of disadvantaged teacher-students. The purposive sample related…
Descriptors: Foreign Countries, Computer Assisted Instruction, Computer Literacy, Computer Attitudes