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Maria Psyridou; Tuire Koponen; Asko Tolvanen; Kaisa Aunola; Marja-Kristiina Lerkkanen; Anna-Maija Poikkeus; Minna Torppa – Journal of Educational Psychology, 2024
The early prediction of math difficulties (MD) is important as it facilitates timely support. MD are multifaceted, and several factors are involved in their manifestation. This makes the accurate early prediction of MD particularly challenging. In the present study, we aim to predict MD in Grade 6 with kindergarten-age (age 6) measures by applying…
Descriptors: Mathematics Achievement, Kindergarten, Young Children, Grade 6
Julia Matthes; Michael Schneider; Franzis Preckel – Journal of Educational Psychology, 2024
The relation between prior knowledge and learning has been investigated in many studies. However, a recent meta-analysis showed that most of these studies suffered from serious methodological shortcomings, as they failed to account for knowledge growth over time, possible ceiling effects for learners with high prior knowledge, moderating effects…
Descriptors: Prior Learning, Knowledge Level, Grade 5, Grade 6
Construction and Analysis of a Decision Tree-Based Predictive Model for Learning Intervention Advice
Chenglong Wang – Turkish Online Journal of Educational Technology - TOJET, 2024
The rapid development of education informatization has accumulated a large amount of data for learning analytics, and adopting educational data mining to find new patterns of data, develop new algorithms and models, and apply known predictive models to the teaching system to improve learning is the challenge and vision of the education field in…
Descriptors: Decision Making, Prediction, Models, Intervention
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
Art Tsang; Daniel Fung – Curriculum Journal, 2024
Reading is a core element in language education. Despite extensive research in second/foreign language (L2/FL) reading, relatively little is known about the differences between two common practices: Compulsory reading (i.e. reading assigned by teachers) and voluntary reading (i.e. self-initiated reading). This article reports two related…
Descriptors: Middle School Students, Correlation, Language Proficiency, Second Language Learning
Jewoong Moon; Sheunghyun Yeo; Seyyed Kazem Banihashem; Omid Noroozi – Journal of Computer Assisted Learning, 2024
Background: Traditionally, understanding students' learning dynamics, collaboration, emotions, and their impact on performance has posed challenges in formative assessment. The complexity of monitoring and assessing these factors have often limited the depth and breadth of insights. Objectives: This study aims to explore the potential of…
Descriptors: Formative Evaluation, Nonverbal Communication, Outcomes of Education, Learning Analytics
Faisal Alqadiri – ProQuest LLC, 2024
This study examined the problems and challenges of social and academic integration in U.S. higher education institutions for Saudi Arabian and Mexican undergraduate international students. The purpose of this quantitative, cross-sectional, descriptive, and causal-comparative study was to examine the relationship among a) demographic variables…
Descriptors: Barriers, Foreign Students, Arabs, Mexicans
Jian-Bo Zhu; Yu-Zhou Luo – Journal of Baltic Science Education, 2024
Science identity, encompassing perceptions of competence, interest, and recognition in science, alongside learning self-efficacy reflecting confidence to master science skills, are key drivers of outcomes. However, developmental patterns likely vary across contexts. Participants were 512 Chinese students spanning grades 1-3 who completed the…
Descriptors: Science Education, Science Achievement, Secondary School Students, Self Efficacy
Sandra Ximena Jaramillo-Rincón; Fernando Vazquez-Peña; Lina Rodríguez; Elena María Trujillo-Maza – Cogent Education, 2024
Professional success depends on more than just academic achievements frequently defined and evaluated as grades, academic averages and approval of semesters. Other non-cognitive factors, such as 'grit', or academic persistence, have been related to a decrease in academic dropout and success prediction. But it has not been measured in medical…
Descriptors: Foreign Countries, Psychometrics, Medical Students, Academic Persistence
Azizullah Mirzaei; Hanieh Shafiee Rad; Mack D. Burke – International Journal of School & Educational Psychology, 2024
Positive psychology (PP) is currently employing its modern research toolkit to examine how individual differences of hedonic (i.e. pursuing pleasure, fun, and painlessness) versus eudaimonic (i.e. pursuing meaning, self-worth, and growth) well-being motives play out against emotional and learning challenges or outcomes in life. Similarly oriented,…
Descriptors: Resilience (Psychology), Foreign Countries, English (Second Language), Second Language Learning
Jian-Wei Tzeng; Nen-Fu Huang; Yi-Hsien Chen; Ting-Wei Huang; Yu-Sheng Su – Educational Technology & Society, 2024
Massive open online courses (MOOCs; online courses delivered over the Internet) enable distance learning without time and place constraints. MOOCs are popular; however, active participation level among students who take MOOCs is generally lower than that among students who take in-person courses. Students who take MOOCs often lack guidance, and…
Descriptors: MOOCs, Artificial Intelligence, Electronic Learning, Student Participation
John Pace; John Hansen; John Stewart – Physical Review Physics Education Research, 2024
Machine learning models were constructed to predict student performance in an introductory mechanics class at a large land-grant university in the United States using data from 2061 students. Students were classified as either being at risk of failing the course (earning a D or F) or not at risk (earning an A, B, or C). The models focused on…
Descriptors: Artificial Intelligence, Identification, At Risk Students, Physics
Nuria Sagarra; Laura Fernández-Arroyo; Cristina Lozano-Argüelles; Joseph V. Casillas – Language Learning, 2024
We investigated the role of cue weighting, second language (L2) proficiency, and L2 daily exposure in L2 learning of suprasegmentals different from the first language (L1), using eye-tracking. Spanish monolinguals, English-Spanish learners, and Mandarin--Spanish learners saw a paroxytone and an oxytone verb (e.g., "FIRma-firMÓ"…
Descriptors: Native Language, Second Language Learning, Language Proficiency, Suprasegmentals
Yongliang Wang; Mariusz Kruk – Studies in Second Language Learning and Teaching, 2024
Adopting a sequential mixed-methods approach, the current inquiry examined English major students' perceptions of the role of teacher confirmation and teacher credibility in enhancing their academic engagement in the Chinese context. In doing so, through WeChat messenger, three scales were provided to 1168 English major students chosen from…
Descriptors: Learner Engagement, English (Second Language), Second Language Learning, Second Language Instruction
Chen, Fu; Cui, Ying – Journal of Educational Data Mining, 2020
Effective learning outcome modeling is crucial to the success of learning evaluation in education. In the digital age, the movement towards online learning and computerized assessments has resulted in an explosion of structured and unstructured educational data (e.g., learners' problem-solving process data), which offers new opportunities for…
Descriptors: Models, Outcomes of Education, Data Analysis, Psychometrics

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