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Showing all 11 results Save | Export
Maria Bempeni; Stavroula Poulopoulou; Xenia Vamvakoussi – Online Submission, 2021
In the present study, we tested the hypotheses that: a) there are individual differences in secondary students' conceptual and procedural fraction knowledge, and b) these differences are predicted by students' approach (deep vs. surface) to mathematics learning. We used two instruments developed and evaluated for the purposes of the study which…
Descriptors: Mathematics Instruction, Teaching Methods, Prediction, Learning Processes
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Darmawan, Ericka; Zubaidah, Siti; Ristanto, Rizhal Hendi; Zamzami, Muhammad Rizal Akbar; Wahono, Bevo – International Journal of Instruction, 2020
Metacognitive skills play a central role in the student learning process. However, there is a limited report consider regarding any learning model that can enhance students' metacognitive skills, particularly related to students' academic level. This current research aimed to perform the Simas Eric Learning Model (SELM) by considering students'…
Descriptors: Teaching Models, Metacognition, Skill Development, Learning Processes
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Street, Karin E. S.; Malmberg, Lars-Erik; Stylianides, Gabriel J. – Educational Studies in Mathematics, 2022
Self-efficacy in mathematics is related to engagement, persistence, and academic performance. Prior research focused mostly on examining changes to students' self-efficacy across large time intervals (months or years), and paid less attention to changes at the level of lesson sequences. Knowledge of how self-efficacy changes during a sequence of…
Descriptors: Self Efficacy, Longitudinal Studies, Attitude Change, Mathematics Instruction
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Lai, Song; Sun, Bo; Wu, Fati; Xiao, Rong – IEEE Transactions on Learning Technologies, 2020
Adaptive e-learning can be used to personalize learning environment for students to meet their individual demands. Individual differences depend on the students' personality traits. Numerous studies have indicated that understanding the role of personality in the learning process can facilitate learning. Hence, personality identification in…
Descriptors: Personality Traits, Electronic Learning, Individual Differences, Learning Processes
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Cyril, A. Vences; Raj, M. Antony – Journal on School Educational Technology, 2017
This paper focuses on the teaching learning process by evaluating the Classroom management and Metacognition of high school teachers. Classroom management is one of the greatest concerns of teachers and administrators when addressing the safety and well-being of students (Taylor & Franklin, 2009). Effective classroom management should be the…
Descriptors: Classroom Techniques, Metacognition, High School Teachers, Learning Processes
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Larkin Weyand; Jon Balzotti; Derek L. Hansen – English Journal, 2019
Educational simulations provide students authentic contexts. These authentic contexts require situated and complex real-world arguments. Such writing scenarios help students recognize why there are often multiple interpretations of evidence, who their audience is, what they want, and what kind of genre is needed. Playable Case Studies help…
Descriptors: Teaching Methods, Play, Persuasive Discourse, Writing Instruction
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Suárez, Maria del Mar; Gesa, Ferran – Language Learning Journal, 2019
Video viewing can be a valuable resource to expose students to large quantities of input so they can improve their vocabulary and content comprehension. Most studies so far have used short clips and have not explored in much detail the effects of individual differences (IDs) such as aptitude, listening skills and vocabulary size. This paper aims…
Descriptors: Language Proficiency, Vocabulary Development, Television, Programming (Broadcast)
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Bempeni, Maria; Vamvakoussi, Xenia – Frontline Learning Research, 2015
We present the results of an in-depth qualitative study that examined ninth graders' conceptual and procedural knowledge of fractions as well as their approach to mathematics learning, in particular fraction learning. We traced individual differences, even extreme, in the way that students combine the two kinds of knowledge. We also provide…
Descriptors: Individual Differences, Fractions, Qualitative Research, Statistical Analysis
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Liu, Ran; Koedinger, Kenneth R. K – International Educational Data Mining Society, 2017
Research in Educational Data Mining could benefit from greater efforts to ensure that models yield reliable, valid, and interpretable parameter estimates. These efforts have especially been lacking for individualized student-parameter models. We collected two datasets from a sizable student population with excellent "depth" -- that is,…
Descriptors: Data Analysis, Intelligent Tutoring Systems, Bayesian Statistics, Pretests Posttests
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Randler, Christoph; Horzum, Mehmet Baris; Vollmer, Christian – International Review of Research in Open and Distance Learning, 2014
There are many studies related to distance learning. Willingness and anxiety are important variables for distance learning. Recent research has shown that anxiety and willingness towards distance learning are moderated by personality. This study sought to investigate whether distance learning willingness and distance learning anxiety are…
Descriptors: Personality Traits, Distance Education, Scores, Questionnaires
Schramm, Wilbur – Office of Education, US Department of Health, Education, and Welfare, 1964
This annotated bibliography is a compilation of the research on programed instruction conducted in the United States since 1954. The introduction describes the field; looks back over the research and reviews some of its conclusions; answers the question whether students learn from programmed instruction; explains the characteristic variables; and…
Descriptors: Educational History, Educational Research, Research Reports, Annotated Bibliographies