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Alex C. Garn; Andreas Stenling – Educational Psychology, 2024
This study investigated daily motivation regulation as a multilevel mediator of undergraduate students' intrinsic and extrinsic motivation and academic functioning. Undergraduate students (N = 124) completed measures on motivation, motivation regulation, and study time for 10 consecutive days leading up to a statistics exam. Bayesian multilevel…
Descriptors: Student Motivation, Prediction, Academic Achievement, Undergraduate Students
Demir, Ibrahim; Sener, Ersin; Karaboga, Hasan Aykut; Basal, Ahmet – Participatory Educational Research, 2023
Classroom rules are a fundamental aspect of classroom management and ensuring compliance with established rules is crucial. Previous research has shown that students often pay little attention to the development of classroom rules. This quantitative study aims to investigate the expectations that students have concerning classroom rules. To this…
Descriptors: Classroom Techniques, Bayesian Statistics, Compliance (Psychology), Secondary School Students
Chi-Jung Sui; Miao-Hsuan Yen; Chun-Yen Chang – Education and Information Technologies, 2024
This study examined the effects of a technology-enhanced intervention on the self-regulation of 262 eighth-grade students, employing information and communication technology (ICT) and web-based self-assessment tools set against science learning. The data were analyzed using Bayesian structural equation modeling to unravel the intricate…
Descriptors: Technology Uses in Education, Independent Study, Middle School Students, Grade 8
Lazrig, Ibrahim; Humpherys, Sean L. – Information Systems Education Journal, 2022
Can sentiment analysis be used in an educational context to help teachers and researchers evaluate students' learning experiences? Are sentiment analyzing algorithms accurate enough to replace multiple human raters in educational research? A dataset of 333 students evaluating a learning experience was acquired with positive, negative, and neutral…
Descriptors: College Students, Learning Analytics, Educational Research, Learning Experience
Vaziri, Stacey; Vaziri, Baback; Novoa, Luis J.; Torabi, Elham – INFORMS Transactions on Education, 2022
The MUSIC (eMpowerment, Usefulness, Success, Interest, Caring) Model of Academic motivation was developed to help instructors promote student motivation in the classroom. This study examines relationships among student perceptions of motivation and effort compared with their performance in undergraduate business analytics courses. Specifically,…
Descriptors: Student Motivation, Introductory Courses, Business Administration Education, Data Analysis
Han, Hyemin; Dawson, Kelsie J. – Journal of Moral Education, 2022
Although some previous studies have investigated the relationship between moral foundations and moral judgment development, the methods used have not been able to fully explore the relationship. In the present study, we used Bayesian Model Averaging (BMA) in order to address the limitations in traditional regression methods that have been used…
Descriptors: Moral Values, Moral Development, Decision Making, Correlation
Aitor Garcés-Manzanera – Language Teaching Research Quarterly, 2024
Learning a second language (L2) is dependent upon numerous external and internal factors, among which motivation plays a relevant role. In fact, motivation has been recognized as crucial in the L2 learning process (Ushioda, 2012). Such has been its importance that interest in L2 motivation has led to the development of theories such as the L2…
Descriptors: Learning Motivation, Second Language Learning, Second Language Instruction, Learning Processes
Foster, Colin – International Journal of Science and Mathematics Education, 2022
Confidence assessment (CA) involves students stating alongside each of their answers a confidence rating (e.g. 0 low to 10 high) to express how certain they are that their answer is correct. Each student's score is calculated as the sum of the confidence ratings on the items that they answered correctly, minus the sum of the confidence ratings on…
Descriptors: Mathematics Tests, Mathematics Education, Secondary School Students, Meta Analysis
Hu, Jingchen – Journal of Statistics Education, 2020
We propose a semester-long Bayesian statistics course for undergraduate students with calculus and probability background. We cultivate students' Bayesian thinking with Bayesian methods applied to real data problems. We leverage modern Bayesian computing techniques not only for implementing Bayesian methods, but also to deepen students'…
Descriptors: Bayesian Statistics, Statistics Education, Undergraduate Students, Computation
Bárcena, M. J.; Garín, M. A.; Martín, A.; Tusell, F.; Unzueta, A. – Journal of Statistics Education, 2019
Teaching some concepts in statistics greatly benefits from individual practice with immediate feedback. In order to provide such practice to a large number of students we have written a simulator based on an historical event: the loss in May 22, 1968, and subsequent search for the nuclear submarine USS Scorpion. Students work on a simplified…
Descriptors: Computer Simulation, Computer Assisted Instruction, Teaching Methods, Bayesian Statistics
Warren, Aaron R. – Physical Review Physics Education Research, 2020
The evaluation of hypotheses, and the ability to learn from critical reflection on experimental and theoretical tests of those hypotheses, is central to an authentic practice of physics. A large part of physics education therefore seeks to help students understand the significance of this kind of reflective practice and to develop the strategies…
Descriptors: Epistemology, Bayesian Statistics, Physics, Science Instruction
Hooshyar, Danial; Binti Ahmad, Rodina; Wang, Minhong; Yousefi, Moslem; Fathi, Moein; Lim, Heuiseok – Journal of Educational Computing Research, 2018
Games with educational purposes usually follow a computer-assisted instruction concept that is predefined and rigid, offering no adaptability to each student. To overcome such problem, some ideas from Intelligent Tutoring Systems have been used in educational games such as teaching introductory programming. The objective of this study was to…
Descriptors: Intelligent Tutoring Systems, Teaching Methods, Introductory Courses, Programming
van der Sande, Lisa; Hendrickx, Marloes M. H. G.; Boor-Klip, Henrike J.; Mainhard, Tim – Journal of Learning Disabilities, 2018
Although many studies have found that children with learning disabilities (LD) are less liked by peers than children without LD, the results are not unequivocal. In the present study, we investigated the social status (in terms of likeability and popularity) of children with LD by considering peer academic reputation and peer reputation of teacher…
Descriptors: Learning Disabilities, Social Status, Reputation, Peer Relationship
Vallett, David B.; Lamb, Richard; Annetta, Leonard – Journal of Science Education and Technology, 2018
This research represents an unforeseen outcome of the authors' National Science Foundation Innovation Technology Experiences for Students and Teachers (ITEST) program grant in science education. The grant itself focused on the use of serious educational games (SEGs) in the science classroom, both during and after school, to teach science content…
Descriptors: After School Programs, STEM Education, Educational Games, Science Instruction
Ustav, Sirje; Venesaar, Urve – Education & Training, 2018
Purpose: The purpose of this paper is to explore the concept of metacompetencies in entrepreneurship education through students' expressions of metacompetencies in their learning processes, aiming to provide assistance embedding metacompetencies in entrepreneurship education. Design/methodology/approach: The empirical study is based on qualitative…
Descriptors: Entrepreneurship, Teaching Methods, Foreign Countries, Phenomenology