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Gyöngyvér Molnár; Ádám Kocsis – Studies in Higher Education, 2024
How important are learning strategies or personal attributes for learning outside of domain-specific knowledge or twenty-first-century transversal skills when predicting academic success in higher education? To address this question, we conducted a longitudinal study among 1,681 students at one of the leading universities in Hungary. Students took…
Descriptors: Academic Achievement, Predictor Variables, Higher Education, Learning Strategies
Käser, Tanja; Schwartz, Daniel L. – International Journal of Artificial Intelligence in Education, 2020
Modeling and predicting student learning in computer-based environments often relies solely on sequences of accuracy data. Previous research suggests that it does not only matter what we learn, but also how we learn. The detection and analysis of learning behavior becomes especially important, when dealing with open-ended exploration environments,…
Descriptors: Inquiry, Learning Strategies, Outcomes of Education, Academic Achievement
Li Dong – Journal of Psycholinguistic Research, 2024
Despite the significance of grit and motivational regulation strategies (MRS) to language learning, limited research has been conducted on their longitudinal interplay. The present study explores the relationship between these two constructs in an English as a second language (L2) learning context through a longitudinal design. This study utilizes…
Descriptors: Resilience (Psychology), Academic Persistence, Second Language Learning, Second Language Instruction
Üztemur, Servet – Participatory Educational Research, 2020
This paper aims to determine the predictive relationships between achievement goals and learning approaches in the context of social studies teaching and to compare the goal orientation models (3x2, 2x2) in the context of their relationships with learning approaches. The study utilized the multi-factorial predictive correlational design. The study…
Descriptors: Academic Achievement, Learning Strategies, Social Studies, Comparative Analysis
Zhao, Ningning; Teng, Xichun; Li, Wenting; Li, Yanhua; Wang, Shuaiming; Wen, Hongbo; Yi, Mengya – ZDM: The International Journal on Mathematics Education, 2019
Metacognition is a powerful predictor for learning performance, and for problem-solving. But how metacognition works for cognitive strategies and learning performance is not clear. The present study was designed to explore how metacognition affected the cognition (learning strategies and problem solving strategies) and different kinds of learning…
Descriptors: Metacognition, Problem Solving, Psychometrics, Gender Differences
Papi, Mostafa; Bondarenko, Anna Vitalyevna; Mansouri, Soheil; Feng, Liying – Studies in Second Language Acquisition, 2019
The present study proposed and tested a revision of the self-guides outlined in the L2 motivational self system (Dörnyei, 2005, 2009). Covering the previous conceptualization and measurement issues, ideal L2 self and ought-to L2 self were bifurcated by own and other standpoints, and reoperationalized based on the fundamental tenets of…
Descriptors: Second Language Learning, Second Language Instruction, Learning Motivation, Factor Analysis
Dennis, Minyi Shih; Knight, Jacqueline; Jerman, Olga – Preventing School Failure, 2016
This article describes how to teach fraction and percentage word problems using a model-drawing strategy. This cognitive strategy places emphasis on explicitly teaching students how to draw a schematic diagram to represent the qualitative relations described in the problem, and how to formulate the solution based on the schematic diagram. The…
Descriptors: High School Students, Learning Disabilities, Word Problems (Mathematics), Models
Gaultney, Jane F. – Journal of College Student Retention: Research, Theory & Practice, 2016
The present study used a validated survey to assess freshmen college students' sleep patterns and risk for sleep disorders and then examined associations with retention and grade point average (GPA) over a 3-year period. Students at risk for a sleep disorder were more likely to leave the institution over the 3-year period, although this…
Descriptors: Self Efficacy, Sleep, Academic Achievement, School Holding Power
Antonietti, Alessandro; Colombo, Barbara; Di Nuzzo, Chiara – Learning, Media and Technology, 2015
This study aims at investigating students' strategies--as revealed by behavioural, psychophysiological and introspective measures--which are applied during the free exploration of multimedia instructional presentations, which requires students to self-regulate their learning processes. Two multimedia presentations were constructed and presented to…
Descriptors: Metacognition, Multimedia Instruction, Eye Movements, Undergraduate Students
Holland, Denise D.; Piper, Randy T. – Journal of Educational Computing Research, 2016
The technology integration education model is a 12 construct model that includes 8 primary constructs and 4 moderator constructs. By testing the relationships among two primary constructs (motivation and technological, pedagogical, and content knowledge competencies) and four moderator constructs (goals, feedback, task value, and self-regulation),…
Descriptors: Technology Integration, Preservice Teachers, Models, Objectives
Alahdadi, Shadi; Ghanizadeh, Afsaneh – Iranian Journal of Language Teaching Research, 2017
A key objective of education is to prepare individuals to be fully-functioning learners. This entails developing the cognitive, metacognitive, motivational, cultural, and emotional competencies. The present study aimed to examine the interrelationships among adaptability, tolerance of ambiguity, cultural intelligence, learning approach, and…
Descriptors: Cultural Awareness, Cognitive Style, Translation, Language Teachers
Liao, Hsiang-Ann; Edlin, Margot; Ferdenzi, Anita Cuttita – Community College Journal of Research and Practice, 2014
This study examined how self-efficacy and motivation affected student persistence at an urban community college. Self-efficacy was studied at two dimensions: self-regulated learning efficacy and self-efficacy for academic achievement. Motivation was also investigated at two levels: intrinsic motivation and extrinsic motivation. Results show that…
Descriptors: Community Colleges, Urban Schools, Academic Persistence, Self Efficacy
Wynne, Heather Marie – ProQuest LLC, 2014
Achievement goal theory and thus, the empirical measures stemming from the research, are currently divided on two conceptual approaches, namely the reason versus aims-based models of achievement goals. The factor structure and predictive utility of goal constructs from the Patterns of Adaptive Learning Strategies (PALS) and the latest two versions…
Descriptors: Academic Achievement, Goal Orientation, Educational Objectives, Factor Structure
Wang, Jui-Sheng; Pascarella, Ernest T.; Nelson Laird, Thomas F.; Ribera, Amy K. – Studies in Higher Education, 2015
In this study the authors analyze longitudinal student survey data from the 17-institution Wabash National Study of Liberal Arts Education (WNS) to determine the extent that the influence of overall exposure to clear and organized instruction on four-year growth in two measures of cognitive development is mediated by student use of deep approaches…
Descriptors: Critical Thinking, Classroom Techniques, Instructional Effectiveness, Longitudinal Studies
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – Grantee Submission, 2015
Student models for adaptive systems may not model collaborative learning optimally. Past research has either focused on modeling individual learning or for collaboration, has focused on group dynamics or group processes without predicting learning. In the current paper, we adjust the Additive Factors Model (AFM), a standard logistic regression…
Descriptors: Educational Environment, Predictive Measurement, Predictor Variables, Cooperative Learning