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Natalie Brezack; Melissa Lee; Kelly Collins; Wynnie Chan; Mingyu Feng – Grantee Submission, 2025
Students' effort and emotions are important contributors to math learning. In a recent study evaluating the efficacy of MathSpring, a scalable web-based intelligent tutoring system that provides students with personalized math problems and affective support, system usage data were collected for 804 U.S. 10-12-year-olds. To understand the patterns…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Behavior Patterns, Student Behavior
Burcak Aydin; Gökhan Akcapinar; Vildan Özeke; Mohammad Nehal Hasnine – International Association for Development of the Information Society, 2024
This study explores the relationship between students' affective states and their interactions with educational videos. While video-based learning has become increasingly popular, it is important to understand the emotional and behavioral dynamics that influence learning outcomes. Using a qualitative content analysis approach, data were collected…
Descriptors: Instructional Films, Cognitive Processes, Student Behavior, Psychological Patterns
Francisti, Jan; Balogh, Zoltán; Turcáni, Milan – International Baltic Symposium on Science and Technology Education, 2023
Today's trend is the use of information technology in all areas of our lives. Emotions are a basic human characteristic, although they are difficult to define, recognise and classify. Proper assessment and recognition of human emotions can lead to a better understanding of user behaviour. The aforementioned technologies can also be used as a…
Descriptors: Internet, Equipment, Information Technology, Telecommunications
Dirk Tempelaar – International Association for Development of the Information Society, 2024
This study explores the effect of epistemic and achievement learning emotions on student engagement and performance in a foundational business and economics course. We focus on the interaction between epistemic emotions, e-tutorial trace data, and achievement emotions within the context of a compulsory introductory mathematics and statistics…
Descriptors: Electronic Learning, Epistemology, Academic Achievement, Psychological Patterns
Saira Anwar; Ahmed Ashraf Butt; Muhsin Menekse – Grantee Submission, 2022
This work-in-progress research paper examines the relationship between two aspects of students' engagement and academic performance. With the boom of technology-mediated learning environments, many educational applications are integrated into STEM courses. However, the effectiveness of these applications in the learning environments is contingent…
Descriptors: Learner Engagement, Academic Achievement, College Freshmen, Engineering Education
Laird, Alexandra; Grootenboer, Peter; Larkin, Kevin – Mathematics Education Research Group of Australasia, 2021
The study reported here was conceptualised using a theoretical framework that included three dimensions of engagement; emotional, behavioural, and cognitive, and these were used to structure the data collection and analysis vis-à-vis learning mathematics outdoors. This comparative case study involved 34 students from two Year 6 classes at a…
Descriptors: Foreign Countries, Grade 6, Elementary School Students, Mathematics Instruction
Copeland, William E.; Bai, Yang; Adams, Zoe; Lerner, Matthew; King, Jessica A.; Rettew, Jeff; Hudziak, Jim – Journal of American College Health, 2022
Objective: To establish the prevalence of mood and wellness behaviors in college students across a school year. Methods: 1,554 college students (69.4% female; average age 18.8 years) were followed with daily surveys on wellness behaviors for the school year. 1,207 participants completed at least 50% of daily surveys on mood, exercise, sleep,…
Descriptors: Health Behavior, Wellness, Undergraduate Students, Student Attitudes
Botelho, Anthony F.; Baker, Ryan S.; Ocumpaugh, Jaclyn; Heffernan, Neil T. – International Educational Data Mining Society, 2018
Student affect has been found to correlate with short- and long-term learning outcomes, including college attendance as well as interest and involvement in Science, Technology, Engineering, and Mathematics (STEM) careers. However, there still remain significant questions about the processes by which affect shifts and develops during the learning…
Descriptors: Psychological Patterns, Time, Computer Assisted Instruction, Affective Behavior
Amos Jeng; Hannah Valdiviejas; Michelle Perry – Grantee Submission, 2022
"Online social presence" -- the degree to which individuals project their identities and personalities into a web-based community -- plays an essential role in fostering a connected and satisfying learning environment. The present study's aim was to explore gender differences in behaviors related to social presence in an online course.…
Descriptors: Path Analysis, Gender Differences, Online Courses, Computer Mediated Communication
San Pedro, Maria Ofelia Z.; Snow, Erica L.; Baker, Ryan S.; McNamara, Danielle S.; Heffernan, Neil T. – International Educational Data Mining Society, 2015
There is increasing evidence that fine-grained aspects of student performance and interaction within educational software are predictive of long-term learning. Machine learning models have been used to provide assessments of affect, behavior, and cognition based on analyses of system log data, estimating the probability of a student's particular…
Descriptors: Mathematics Tests, Achievement Tests, Middle School Students, Intelligent Tutoring Systems
Werner Andrews, Sarah – NAMTA Journal, 2017
Drawing on both extensive professional and deeply personal experience, Sarah Werner Andrews' vision of working with children carries profound respect and love throughout her guiding insight. She shares an understanding of those children who are the most challenging and provides a framework that allows us to embrace these and all children.…
Descriptors: Misconceptions, Teacher Student Relationship, Guidelines, Teacher Attitudes
Carter, Jenny; Kim, Young K. – AERA Online Paper Repository, 2017
Two previous studies indicated that students at evangelical institutions report the highest levels of religious struggle in comparison to their peers at other institutions. However, patterns and predictors of religious struggle for students attending evangelical institutions have not been thoroughly explored. This study fills that gap in the…
Descriptors: Church Related Colleges, College Students, Religion, Student Characteristics
Burrows, Leigh – Australian Association for Research in Education, 2013
The case is presented of a teacher who is severely tested by a student diagnosed with relational trauma whose aggressive behaviours regularly catalyse intense emotions in herself and her other students. Through her own mindfulness practice she gradually develops the capacity to create a steady, firm yet loving connection with him. As a result he…
Descriptors: Metacognition, Psychological Patterns, Trauma, Clinical Diagnosis
San Pedro, Maria Ofelia Z. – International Educational Data Mining Society, 2015
This dissertation research focuses on assessing student behavior, academic emotions, and knowledge from a middle school online learning environment, and analyzing their potential effects on decisions about going to college. Using students' longitudinal data ranging from their middle school, to high school, to postsecondary years, I leverage…
Descriptors: Learner Engagement, Psychological Patterns, Middle School Students, Student Behavior
Kraus, Stephen J. – 1990
The relationship between attitudes and behavior has been a topic of considerable debate. Accordingly, this paper reports a meta-analysis of 83 attitude-behavior studies. The analysis suggests that attitudes significantly predict future behavior (combined p<<.000000000001); the average attitude-behavior correlation (ABC) is r=.38. Methodologically,…
Descriptors: Attitude Measures, Attitudes, Behavior, Behavior Patterns
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