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Cristina Vladescu – International Electronic Journal of Mathematics Education, 2023
This study aims at highlighting the relationship between mastery learning models and academic performance in mathematics, moderated by the number of hours allotted to studying mathematics. There are 305 first to eighth-grade students who learn at "Nae A. Ghica Middle School" in Romania. Students in sixth, seventh, and eighth grades…
Descriptors: Mastery Learning, Models, Mathematics Achievement, Study Habits
Lea Dickhäuser; Christine Koddebusch; Christiane Hermann – Journal of College Student Mental Health, 2024
As stress in students has increased in the last years, factors predicting stress need to be investigated. The aim of the present study was to replicate previous findings using the demand-control model and to examine the role of emotional distress in a transactional model (inspired by Lazarus' transactional stress model). "Stress, mental…
Descriptors: Prediction, Stress Variables, Validity, Models
Koskinen, Pekka; Lämsä, Joni; Maunuksela, Jussi; Hämäläinen, Raija; Viiri, Jouni – International Journal of STEM Education, 2018
Background: Productive learning processes and good learning outcomes can be attained by applying the basic elements of active learning. The basic elements include fostering discussions and disputations, facing alternative conceptions, and focusing on conceptual understanding. However, in the face of poor course retention and high dropout rates,…
Descriptors: Active Learning, Educational Strategies, Teaching Methods, Models
Wan, Han; Liu, Kangxu; Yu, Qiaoye; Gao, Xiaopeng – IEEE Transactions on Learning Technologies, 2019
Most educational institutions adopted the hybrid teaching mode through learning management systems. The logging data/clickstream could describe learners' online behavior. Many researchers have used them to predict students' performance, which has led to a diverse set of findings, but how to use insights from captured data to enhance learning…
Descriptors: Educational Practices, Learner Engagement, Identification, Study Habits
Lindblom-Ylänne, Sari; Saariaho, Emmi; Inkinen, Mikko; Haarala-Muhonen, Anne; Hailikari, Telle – Frontline Learning Research, 2015
The study explored university undergraduates' dilatory behaviour, more precisely, procrastination and strategic delaying. Using qualitative interview data, we applied a theory-driven and person-oriented approach to test the theoretical model of Klingsieck (2013). The sample consisted of 28 Bachelor students whose study pace had been slow during…
Descriptors: Time Management, Undergraduate Students, Interviews, Student Behavior
Fernex, Alain; Lima, Laurent; de Vries, Erica – Higher Education: The International Journal of Higher Education and Educational Planning, 2015
The purpose of this article is to study how students allocate time to different university and extra-university activities and to identify factors that might explain variability both between and within fields of study. At the heart of this exercise is the question of the time students dedicate to academic activities in competition with a whole…
Descriptors: Time Management, Time Factors (Learning), Study Habits, Learning Activities
Spada, Marcantonio M.; Moneta, Giovanni B. – Educational Psychology, 2014
The objective of this study was to verify the structure of a model of how surface approach to studying is influenced by the trait variables of motivation and metacognition and the state variables of avoidance coping and evaluation anxiety. We extended the model to include: (1) the investigation of the relative contribution of the five…
Descriptors: Metacognition, Study Habits, Predictor Variables, Test Anxiety
Mirkov, Snežana – Bulgarian Comparative Education Society, 2013
The paper represents a synthesis of results obtained in empirical studies of variables related to learning process. A number of studies were carried out within the Students Approaches to Learning perspective. According to the 3P model of learning, the complex of learning process comprises three learning approaches--Deep, Surface and Achievement…
Descriptors: Synthesis, Learning Processes, Meta Analysis, Questionnaires
Demir, Semra; Kilinc, Mehmet; Dogan, Ali – International Electronic Journal of Elementary Education, 2012
Purpose of this study is to examine the effect of "Development of Efficient Studying Skills Curriculum" on academic achievements and studying skills of 7th grade primary school students. In this study, pre-test post-test from experiment models and semi-experimental model with control group were preferred. The reason for the preference is…
Descriptors: Foreign Countries, Study Skills, Curriculum Development, Academic Achievement
Stes, Ann; De Maeyer, Sven; Gijbels, David; Van Petegem, Peter – Studies in Higher Education, 2013
Evidence regarding the impact of teachers' instructional development on student learning in higher education is scarce. In this study the authors investigate the impact of an instructional development programme for beginning university teachers on students' approach to studying. They also explore whether this impact is dependent on class size and…
Descriptors: Faculty Development, College Faculty, College Students, Foreign Countries
Bude, Luc; Van De Wiel, Margaretha W. J.; Imbos, Tjaart; Candel, Math J. J. M.; Broers, Nick J.; Berger, Martijn P. F. – Statistics Education Research Journal, 2007
The present study focuses on motivational constructs and their effect on students' academic achievement within an existing statistics course. First-year Health Sciences students completed a questionnaire that measures several motivational constructs: dimensions of causal attributions, outcome expectancy, affect, and study behaviour, all with…
Descriptors: Attribution Theory, Helplessness, Academic Achievement, Path Analysis
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
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

Watkins, David; Hattie, John – Educational and Psychological Measurement, 1980
Results of an Australian study of the Biggs Study Process Questionnaire (SPQ) are presented. The purposes of the research were to: (1) re-examine the SPQ's internal consistency; (2) explore dimensionality of the SPQ scales; and (3) investigate validity of Bigg's model of the study process complex through factor analysis. (Author/GK)
Descriptors: Factor Analysis, Foreign Countries, Higher Education, Maximum Likelihood Statistics
Strang, Kenneth D. – Multicultural Education & Technology Journal, 2008
Purpose: The purpose of this paper is to inform international student study strategies as well as course design and instructional approach. Design/methodology/approach: Multiple research methods are applied, starting with exploratory data analysis, principal component analysis, confirmatory ordinal factor analysis, then recursive regression.…
Descriptors: Foreign Students, Cognitive Style, Academic Achievement, Factor Analysis
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