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Lóa Björk Jóelsdóttir; Paul Andrews – International Journal of Mathematical Education in Science and Technology, 2025
In this paper we present a novel adaptation of a tri-phase assessment tool, originally devised to investigate students' linear equations-related strategy flexibility, to evaluate Danish grade-six students' multidigit arithmetic-related strategy adaptivity and flexibility. Participants, 731 students, median age 12 years and drawn from 20…
Descriptors: Grade 6, Elementary School Students, Mathematics Instruction, Equations (Mathematics)
Morrow-Leong, Kimberly; Moore, Sara Delano; Gojak, Linda M. – Mathematics Teacher: Learning and Teaching PK-12, 2021
In this article, the authors share five strategies for using a primary teacher's existing picture book library to create engaging, standard-supporting lessons in mathematics. Because teachers choose the books they read according to their students' interests and concerns, the lessons they create are also more likely to be highly responsive to…
Descriptors: Teaching Methods, Mathematics Instruction, Elementary School Students, Student Interests
Hutt, Stephen; Ocumpaugh, Jaclyn; Ma, Juliana; Andres, Alexandra L.; Bosch, Nigel; Paquette, Luc; Biswas, Gautam; Baker, Ryan S. – International Educational Data Mining Society, 2021
Self-regulated learning (SRL) is a critical 21st -century skill. In this paper, we examine SRL through the lens of the searching, monitoring, assessing, rehearsing, and translating (SMART) schema for learning operations. We use microanalysis to measure SRL behaviors as students interact with a computer-based learning environment, Betty's Brain. We…
Descriptors: Models, Self Control, Learning Strategies, Student Behavior
Brod, Garvin – Educational Psychology Review, 2021
Generative learning strategies are intended to improve students' learning by prompting them to actively make sense of the material to be learned. But are they effective for all students? This review provides an overview of six popular generative learning strategies: concept mapping, explaining, predicting, questioning, testing, and drawing. Its…
Descriptors: Learning Strategies, Concept Mapping, Prediction, Questioning Techniques
Callan, Gregory L.; Cleary, Timothy J. – Metacognition and Learning, 2019
The current study used microanalytic interviews and behavioral traces to examine sequential phase relations among forethought, performance, and self-reflection processes, and to investigate the predictive influence of these processes on mathematics performance of 96 eighth grade students. Consistent with expectations, students' microanlaytic goals…
Descriptors: Prediction, Learning Processes, Metacognition, Learning Strategies
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
Zhang, Yining; Lin, Chin-Hsi – Journal of Computer Assisted Learning, 2021
This study extends the community of inquiry (CoI) framework and self-regulated learning (SRL) theory through an exploration of the structural relationships among existing CoI variables, learning presence (i.e., self-efficacy and online SRL strategy) and learning outcomes in the context of K-12 online learning. To help understand the influence of…
Descriptors: Mentors, Communities of Practice, Metacognition, Self Efficacy
Akdag, Emine; Köksal, Mustafa Serdar – Science Education International, 2022
The purpose of this research was to examine relationship between the eighth-grade gifted students' perceptions of science learning environment constructive learning environment perception (CLEP) and their motivations motivation to learn science (MLS) to learn science with their intellectual risk-taking (IRT) and science achievement (SA). For this…
Descriptors: Gifted, Gifted Education, Student Motivation, Learning Motivation
Kurt, Uluhan; Sezek, Fatih – Science Education International, 2022
The aim of this study was to determine the relationship between students' metacognitive learning, critical thinking, scientific process skills, and academic achievements after the "Cell and Divisions" and "Force and Energy" units which have been processed according to different teaching methods. Furthermore, in this study, it…
Descriptors: Teaching Methods, Science Instruction, Skill Development, Metacognition
Hong, Jon-Chao; Hwang, Ming-Yueh; Liu, Yeu-Ting; Lin, Pei-Hsin; Chen, Yi-Ling – Interactive Learning Environments, 2016
Educational games can be viewed in two ways, "learning to play" or "playing to learn." The Chinese Idiom String Up Game was specifically designed to examine the effect of "learning to play" on the interrelatedness of players' gameplay interest, competitive anxiety, and perceived utility of pre-game learning (PUPGL).…
Descriptors: Educational Games, Prediction, Anxiety, Competition
Chen, Chih-Ming; Huang, Sheng-Hui – British Journal of Educational Technology, 2014
Due to the rapid development of information technology, web-based learning has become a dominant trend. That is, learners can often learn anytime and anywhere without being restricted by time and space. Autonomic learning primarily occurs in web-based learning environments, and self-regulated learning (SRL) is key to autonomic learning…
Descriptors: Foreign Countries, Documentation, Learning Strategies, Reading
Tilfarlioglu, Filiz Yalçin; Anwer, Jivan Kamal – Journal of Education and Training Studies, 2017
Lean is regarded as a systematic approach to maximizing value by minimizing waste, and by flowing the product or service at the pull of the customer demand. These key concepts of "value," "flow," and "pull," align with the ultimate lean goal: "perfection," or a continuous striving for improvement in the…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Teaching Methods
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
Olsen, Jennifer K.; Aleven, Vincent; Rummel, Nikol – International Educational Data Mining Society, 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
van der Ven, Sanne H. G.; Boom, Jan; Kroesbergen, Evelyn H.; Leseman, Paul P. M. – Journal of Experimental Child Psychology, 2012
Variability in strategy selection is an important characteristic of learning new skills such as mathematical skills. Strategies gradually come and go during this development. In 1996, Siegler described this phenomenon as ''overlapping waves.'' In the current microgenetic study, we attempted to model these overlapping waves statistically. In…
Descriptors: Short Term Memory, Probability, Learning Strategies, Investigations
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