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Shakya, Anup; Rus, Vasile; Venugopal, Deepak – International Educational Data Mining Society, 2021
Predicting student problem-solving strategies is a complex problem but one that can significantly impact automated instruction systems since they can adapt or personalize the system to suit the learner. While for small datasets, learning experts may be able to manually analyze data to infer student strategies, for large datasets, this approach is…
Descriptors: Prediction, Problem Solving, Intelligent Tutoring Systems, Learning Strategies
Blackford, Katherine A.; Greenbaum, Julia C.; Redkar, Nikita S.; Gaillard, Nelson T.; Helix, Max R.; Baranger, Anne M. – Chemistry Education Research and Practice, 2023
Problem solving is a key component of authentic scientific research and practice in organic chemistry. One factor that has been shown to have a major role in successful problem solving in a variety of disciplines is metacognitive regulation, defined as the control of one's thought processes through the use of planning, monitoring, and evaluation…
Descriptors: Metacognition, Learning Strategies, Problem Solving, Organic Chemistry
Chvál, Martin; Vondrová, Nada; Novotná, Jarmila – Educational Studies in Mathematics, 2021
The goal of this study is to show a novel way of using large-scale data (N = 6203) to identify pupils' strategies when solving missing value number equations. It is based on the assumption that wrong numerical results appearing more frequently than would be the case if they were consequences of random guessing can be expected to be underlain by a…
Descriptors: Learning Strategies, Problem Solving, Equations (Mathematics), Error Patterns
Wang, Tingting; Zheng, Juan; Tan, Chengyi; Lajoie, Susanne P. – Journal of Computer Assisted Learning, 2023
Background: Computer-based scaffolding has been intensively used to facilitate students' self-regulated learning (SRL). However, most previous studies investigated how computer-based scaffoldings affected the cognitive aspect of SRL, such as knowledge gains and understanding levels. In contrast, more evidence is needed to examine the effects of…
Descriptors: Metacognition, Scaffolding (Teaching Technique), Computer Assisted Instruction, Intelligent Tutoring Systems
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
Shang, Hui-Fang – Journal of Computing in Higher Education, 2018
The ability to read English efficiently and effectively is important for medical students because they have to read a lot of medical texts published in English. This is challenging especially for non-native speakers. This study measures Taiwanese medical students' self-perceived use of metacognitive strategies while reading printed texts and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, Medical Students
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
Feng, Mingyu, Ed.; Käser, Tanja, Ed.; Talukdar, Partha, Ed. – International Educational Data Mining Society, 2023
The Indian Institute of Science is proud to host the fully in-person sixteenth iteration of the International Conference on Educational Data Mining (EDM) during July 11-14, 2023. EDM is the annual flagship conference of the International Educational Data Mining Society. The theme of this year's conference is "Educational data mining for…
Descriptors: Information Retrieval, Data Analysis, Computer Assisted Testing, Cheating
The Relationship between Reading Proficiency and Reading Strategy Use: A Study of Adult ESL Learners
Huang, Jiuhan; Nisbet, Deanna – Journal of Adult Education, 2014
This article explores the relationship between reading strategy use and reading proficiency among 121 adult ESL learners. Reading strategy use was measured by the SORS, and reading proficiency was determined by the CASAS Reading Test and BEST Literacy Test. Findings of the study reveal that (a) adult ESL learners are active strategies users; (b)…
Descriptors: English Language Learners, Reading Instruction, Reading Strategies, Reading Skills
Sproule, John; Martindale, Russell; Wang, John; Allison, Peter; Nash, Christine; Gray, Shirley – European Physical Education Review, 2013
The purpose of this study was to carry out a preliminary investigation to explore the use of outdoor and adventurous project work (PW) within an educational setting. Specifically, differences between the PW and normal academic school experiences were examined using a self-determination theory framework integrated with a goal orientation and…
Descriptors: Outdoor Education, Adventure Education, Physical Education, Questionnaires
Taatgen, Niels A. – Journal of Problem Solving, 2011
The minimal control principle (Taatgen, 2007) predicts that people strive for problem-solving strategies that require as few internal control states as possible. In an experiment with the Abstract Decision Making task (ADM task; Joslyn & Hunt, 1998) the reward structure was manipulated to make either a low-control strategy or a high-strategy…
Descriptors: Problem Solving, Abstract Reasoning, Decision Making, Learning Strategies
Jones, Rachael Adams – Science Teacher, 2012
Too often, teachers scratch their heads and ask, "What were my students thinking?" then answer, "I don't want to know." But teachers should want to know, and students should question their own thinking, as well. Critical thinking involves not just problem solving, creativity, analysis, and synthesis but also self-awareness of learning and learning…
Descriptors: Educational Strategies, Learning Strategies, Critical Thinking, Misconceptions
Rafferty, Anna N., Ed.; Whitehill, Jacob, Ed.; Romero, Cristobal, Ed.; Cavalli-Sforza, Violetta, Ed. – International Educational Data Mining Society, 2020
The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…
Descriptors: Educational Improvement, Teaching Methods, Information Retrieval, Data Processing
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
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