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María Camila Corredor Valderrama; Damian Sebastian de Ruiz Sandoval; Sandra Mateus Gómez – Electronic Journal of Research in Educational Psychology, 2025
Introduction: There is evidence of the relationship between the academic achievement of university students and the learning styles and strategies they use. However, there are inconsistencies between the results of the different studies on the topic, making it difficult to identifying a profile that would allow the prediction of high academic…
Descriptors: Academic Achievement, College Students, Predictor Variables, Cognitive Style
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Jieun Lim; Minhye Lee – Education and Information Technologies, 2024
Avatar use has been proposed as a method to address students' social anxiety and hesitancy to interact with other people in synchronous online environments. Nonetheless, there is a dearth of research examining the effects of avatar-based interactions on students' emotions and motivation. A quasi-experimental research was conducted to examine the…
Descriptors: Educational Technology, Technology Uses in Education, Computer Simulation, Program Effectiveness
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Ki, Ppudah – Early Child Development and Care, 2020
The purpose of this study is to examine the influence of parent-child interaction frequency on children's school adjustment and academic performance in the first year of elementary school. The study also investigates the mediating effect of parents' warm and controlling behaviours on these relations. The data were obtained from the Panel Study on…
Descriptors: Parent Child Relationship, Interaction, Student Adjustment, Academic Achievement
Huse, Christina Scrivner – ProQuest LLC, 2022
In a world where children are likely to experience early-life trauma, relationships matter, and trust is a key in forming healthy working relationships. Intentionally teaching adults and teachers how to evoke calmness in ourselves and breathe to handle negative situations, trusted educators can then teach children to do the same. It is important…
Descriptors: Social Emotional Learning, Kindergarten, Young Children, Resilience (Psychology)
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Ben-Eliyahu, Adar; Rhodes, Jean E.; Scales, Peter – Applied Developmental Science, 2014
In this study, we examined the characteristics of adolescents' deep interests or "sparks," the role of relationships in supporting the development of sparks, and whether having a spark was associated with positive developmental outcomes. Participants included 1,860 15 years olds from across the United States who participated in the…
Descriptors: Adolescents, Interests, Interpersonal Relationship, Adolescent Development
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Sagayadevan, Vathsala; Jeyaraj, Senthu – Journal of the Scholarship of Teaching and Learning, 2012
Engagement has been studied as a multidimensional construct consisting of three subtypes: behavioral, cognitive, and emotional (Fredricks, Blumenfeld, & Paris, 2004). Among these, behavioral engagement has received the most and emotional engagement, the least attention (Fredricks et al., 2004). The current study thus aimed to examine the…
Descriptors: Role, Academic Achievement, Questionnaires, Interaction
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Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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Fogarty, Joan L.; Wang, Margaret C. – Elementary School Journal, 1982
Examines the cross-age peer tutoring process from two perspectives--descriptive analysis of verbal interactions, and documentation of academic and attitudinal progress. Particular attention is given to how the peer tutoring process (a) affects friendship and a give-and-take attitude between the tutor and the tutee and (b) serves as a motivating…
Descriptors: Academic Achievement, Affective Behavior, Classroom Observation Techniques, Cross Age Teaching
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Lynch, Collin F., Ed.; Merceron, Agathe, Ed.; Desmarais, Michel, Ed.; Nkambou, Roger, Ed. – International Educational Data Mining Society, 2019
The 12th iteration of the International Conference on Educational Data Mining (EDM 2019) is organized under the auspices of the International Educational Data Mining Society in Montreal, Canada. The theme of this year's conference is EDM in Open-Ended Domains. As EDM has matured it has increasingly been applied to open-ended and ill-defined tasks…
Descriptors: Data Collection, Data Analysis, Information Retrieval, Content Analysis
Schonwetter, Dieter J. – 1995
This paper examines the effects of gender and test anxiety on students' achievement, cognition, and affects, with an interest in exploring why some students are less likely to benefit from classroom instruction than others. The data came from a western Canadian university study of 424 undergraduate students. Correlational and univariate statistics…
Descriptors: Academic Achievement, Affective Behavior, Cognitive Ability, Correlation
Yildiran, Guzver; Aydin, Emin – Online Submission, 2005
Motivation for learning is important for positive learning outcomes as well as for measured achievement levels. When students come to our classes, they bring with them learning histories in which we as individual teachers, most likely, did not have an input. Our students do not only bring with them different levels of prerequisite leanings but…
Descriptors: Academic Achievement, Mastery Learning, Cooperative Learning, Competition
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection