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Jenny Yun-Chen Chan; Chloe Byrne; Janette Jerusal; Allison S. Liu; Justin Roberts; Erin Ottmar – Grantee Submission, 2023
Prior research has shown that game-based learning tools, such as DragonBox 12+, support algebraic understanding and that students' in-game progress positively predicts their later performance. Using data from 253 seventh-graders (12-13 years old) who played DragonBox as a part of technology intervention, we examined (a) the relations between…
Descriptors: Game Based Learning, Educational Games, Problem Solving, Mathematics Achievement
Jenny Yun-Chen Chan; Chloe Byrne; Janette Jerusal; Allison S. Liu; Justin Roberts; Erin Ottmar – British Journal of Educational Technology, 2023
Prior research has shown that game-based learning tools, such as DragonBox 12+, support algebraic understanding and that students' in-game progress positively predicts their later performance. Using data from 253 seventh-graders (12-13 years old) who played DragonBox as a part of technology intervention, we examined (a) the relations between…
Descriptors: Game Based Learning, Educational Games, Problem Solving, Mathematics Achievement
McMullen, Jake; Hannula-Sormunen, Minna M.; Lehtinen, Erno; Siegler, Robert S. – British Journal of Educational Psychology, 2022
Background: Adaptive expertise is a highly valued outcome of mathematics curricula. One aspect of adaptive expertise with rational numbers is adaptive rational number knowledge, which refers to the ability to integrate knowledge of numerical characteristics and relations in solving novel tasks. Even among students with strong conceptual and…
Descriptors: Elementary School Students, Middle School Students, Grade 6, Grade 7
Kelly McGinn; Laura Young; Alexandra Huyghe; Julie Booth – Journal of Research on Educational Effectiveness, 2024
Recent work has demonstrated that having students study worked examples and answer self-explanation prompts as part of their problem-solving practice improves learning on researcher-developed measures of mathematical proficiency. However, little work has been done to date to investigate whether these benefits translate to improvements on the types…
Descriptors: Problem Solving, Prompting, Mathematics Tests, Standardized Tests
Kelly M. McGinn; Laura K. Young; Alexandra Huyghe; Julie L. Booth – Grantee Submission, 2023
Recent work has demonstrated that having students study worked examples and answer self-explanation prompts as part of their problem-solving practice improves learning on researcher-developed measures of mathematical proficiency. However, little work has been done to date to investigate whether these benefits translate to improvements on the types…
Descriptors: Problem Solving, Prompting, Mathematics Tests, Standardized Tests
Rina Levy Cohen – ProQuest LLC, 2022
The aim of this study was to examine the relationship between common classroom help-seeking determinants (achievement goals, self-efficacy, prior knowledge, gender, and help-seeking perceptions) and help-seeking behaviors online (hint use percentage, latency of help seeking, answer attempt percentage, feedback level percentage, and seeking help…
Descriptors: Correlation, Help Seeking, Self Efficacy, Prior Learning
Peterson, Emily Grossnickle; Kolvoord, Bob; Uttal, David H.; Green, Adam E. – Journal of Geography, 2020
The goal of the present study was to characterize high school students' (n = 338) exposure to geospatial technologies and investigate factors predicting enrollment in a GIS course. Students who reported using GIS were almost 10 times more likely to enroll than students without experience using GIS. Males were more than 3 times more likely to…
Descriptors: High School Students, Geographic Information Systems, Predictor Variables, Enrollment Influences
Tempelaar, Dirk; Rienties, Bart; Nguyen, Quan – International Association for Development of the Information Society, 2019
Learning analytic models are built upon traces students leave in technology-enhanced learning platforms as the digital footprints of their learning processes. Learning analytics uses these traces of learning engagement to predict performance and provide learning feedback to students and teachers when these predictions signal the risk of failing a…
Descriptors: Learner Engagement, Outcomes of Education, Learning Processes, Learning Analytics
Austerweil, Joseph L.; Griffiths, Thomas L.; Palmer, Stephen E. – Cognitive Science, 2017
How does the visual system recognize images of a novel object after a single observation despite possible variations in the viewpoint of that object relative to the observer? One possibility is comparing the image with a prototype for invariance over a relevant transformation set (e.g., translations and dilations). However, invariance over…
Descriptors: Prior Learning, Inferences, Visual Acuity, Recognition (Psychology)
Mihalca, Loredana; Mengelkamp, Christoph; Schnotz, Wolfgang – Metacognition and Learning, 2017
A possible explanation for why students do not benefit from learner-controlled instruction is that they are not able to accurately monitor their own performance. The purpose of this study was to investigate whether and how the accuracy of metacognitive judgments made during training moderates the effect of learner control on performance when…
Descriptors: Metacognition, Accuracy, Learner Controlled Instruction, Problem Solving
The Complex Route to Success: Complex Problem-Solving Skills in the Prediction of University Success
Stadler, Matthias J.; Becker, Nicolas; Greiff, Samuel; Spinath, Frank M. – Higher Education Research and Development, 2016
Successful completion of a university degree is a complex matter. Based on considerations regarding the demands of acquiring a university degree, the aim of this paper was to investigate the utility of complex problem-solving (CPS) skills in the prediction of objective and subjective university success (SUS). The key finding of this study was that…
Descriptors: Success, Predictive Validity, Predictor Variables, Problem Solving
Dinsmore, Daniel L.; Baggetta, Peter; Doyle, Stephanie; Loughlin, Sandra M. – Journal of Experimental Education, 2014
The purpose of this study was to demonstrate that transfer ability (positive and negative) varies depending on the nature of the problems, using the knowledge transfer matrix, as well as being dependent on the individual differences of the learner. A total of 178 participants from the United States and New Zealand completed measures of prior…
Descriptors: Foreign Countries, Transfer of Training, Prior Learning, Pattern Recognition
Rausch, Andreas – Vocations and Learning, 2017
It was investigated how domain-specific knowledge, fluid intelligence, vocational interest and work-related self-efficacy predicted domain-specific problem-solving performance in the field of office work. The participants included 100 German VET (vocational education and training) students nearing the end of a 3-year apprenticeship program as an…
Descriptors: Foreign Countries, Vocational Education, Apprenticeships, Information Technology
Tan, Cheng Yong – Cambridge Journal of Education, 2018
The present study examined indirect effects of principal leadership on the mathematics achievement of 254,475 15-year-old students from 10,313 schools in 32 OECD economies. Results showed that the students could be divided into three categories ("Disadvantaged," "Average," and "Privileged") differing in levels of…
Descriptors: Mathematics Achievement, Disadvantaged, Advantaged, Socioeconomic Status
Hustedt, Jason T. – Journal of Research in Childhood Education, 2015
This study further extends scaffolding research to mother-child dyads (N = 51) in poverty, examining relationships between maternal scaffolding and 4-year-old Head Start children's own later scaffolding behaviors. At Time 1, experimental group children received maternal scaffolding during problem-solving tasks, whereas control group children…
Descriptors: Parent Child Relationship, Mothers, Preschool Children, Scaffolding (Teaching Technique)
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