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Zhang, Ningyu; Biswas, Gautam; Hutchins, Nicole – International Journal of Artificial Intelligence in Education, 2022
Strategies are an important component of self-regulated learning frameworks. However, the characterization of strategies in these frameworks is often incomplete: (1) they lack an operational definition of strategies; (2) there is limited understanding of how students develop and apply strategies; and (3) there is a dearth of systematic and…
Descriptors: Learning Strategies, Student Behavior, Educational Environment, Grade 6
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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
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Fenanlampir, Albertus; Leasa, Marleny; Batlolona, John Rafafy – International Journal of Evaluation and Research in Education, 2021
Many future studies have been developed by scientists today in the form of methods, models, strategies, and techniques in improving student learning outcomes that are oriented to psychology and the development of students' intelligence. One of the latest innovations in learning offered in this study is the homogeneity psycho cognition (HPC)…
Descriptors: Foreign Countries, Cognitive Processes, Physical Education, Teaching Methods
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Zhang, Jiayi; Andres, Juliana Ma. Alexandra L.; Hutt, Stephen; Baker, Ryan S.; Ocumpaugh, Jaclyn; Nasiar, Nidhi; Mills, Caitlin; Brooks, Jamiella; Sethuaman, Sheela; Young, Tyron – Journal of Educational Data Mining, 2022
Self-regulated learning (SRL) is a critical component of mathematics problem-solving. Students skilled in SRL are more likely to effectively set goals, search for information, and direct their attention and cognitive process so that they align their efforts with their objectives. An influential framework for SRL, the SMART model (Winne, 2017),…
Descriptors: Problem Solving, Mathematics Instruction, Learning Management Systems, Learning Analytics
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Wickstrom, Megan H.; Fulton, Elizabeth; Lackey, Dacia – Mathematics Teaching in the Middle School, 2019
The fifth-grade curriculum presents many opportunities to use students' prior mathematical knowledge as a way to bridge new and more difficult mathematical ideas. In this article, the authors document an area tiling task given to fifth-grade students to connect aspects of area measurement covered in earlier grades to grade-level standards such as:…
Descriptors: Mathematics Instruction, Manipulative Materials, Elementary School Mathematics, Grade 5
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Sharp, Emily; Shih Dennis, Minyi – Remedial and Special Education, 2017
This study used a multiple probe across participants design to examine the effects of a model drawing strategy (MDS) intervention package on fraction comparing and ordering word problem-solving performance of three Grade 4 students. MDS is a form of cognitive strategy instruction for teaching word problem solving that includes explicit instruction…
Descriptors: Grade 4, Mathematics Instruction, Elementary School Mathematics, Word Problems (Mathematics)
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Jiang, Chunlian; Hwang, Stephen; Cai, Jinfa – Educational Studies in Mathematics, 2014
This study examined 361 Chinese and 345 Singaporean sixth-grade students' performance and problem-solving strategies for solving 14 problems about speed. By focusing on students from two distinct high-performing countries in East Asia, we provide a useful perspective on the differences that exist in the preparation and problem-solving strategies…
Descriptors: Foreign Countries, Grade 6, Problem Solving, Mathematics Instruction
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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
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Merchie, Emmelien; Van Keer, Hilde; Vandevelde, Sabrina – Journal of Psychoeducational Assessment, 2014
Independently learning from informative texts becomes increasingly important from the age of 11. Little information is available, however, on (a) how and to what extent late elementary education students already apply specific text-learning strategies, and (b) whether different learner profiles can already be distinguished. In this study, a…
Descriptors: Learning Strategies, Grade 5, Grade 6, Profiles
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Vitale, Michael R.; Romance, Nancy R. – Society for Research on Educational Effectiveness, 2013
A variety of research has pointed to the interdependent linkage among vocabulary knowledge, reading comprehension, and level of literacy. With this point in mind, the present study addressed the question of whether student vocabulary acquisition could be accelerated by using a multi-part, semantic word-family-oriented learning strategy to…
Descriptors: Vocabulary Development, Reading Comprehension, Grade 3, Grade 4