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van de Sande, Carla; Vandenberg, Jana Elle – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
Just like physical skills, cognitive skills grow rusty over time unless they are regularly used and practiced so academic breaks can have negative consequences on student learning and success. The Keeping in School Shape (KiSS) program is an engaging, innovative, and cost-effective intervention that harnesses the benefits of retrieval practice by…
Descriptors: College Students, Self Esteem, Accuracy, Decision Making
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Mu, Tong; Jetten, Andrea; Brunskill, Emma – International Educational Data Mining Society, 2020
In some computerized educational systems, there is evidence of students "wheel-spinning," where a student tries and repeatedly fails at an educational task for learning a skill. This may be particularly concerning in low resource settings. Prior research has focused on predicting and modeling wheel-spinning, but there has been little…
Descriptors: Computer Uses in Education, Artificial Intelligence, Academic Failure, Automation
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Ranza Veltri Torres; Sam Prough; Susanne Strachota; Ana Stephens; Yewon Sung; Angela Murphy Gardiner; Maria Blanton; Eric Knuth – Grantee Submission, 2019
This research considers the first year of a longitudinal study in which we are investigating the development of children's algebraic thinking as they take part an early algebra intervention in kindergarten through grade 2. Specifically, this study investigates kindergarteners' understanding of unknown quantities and their representation of these…
Descriptors: Algebra, Mathematics Instruction, Kindergarten, Mathematics Skills
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Käser, Tanja; Schwartz, Daniel L. – International Educational Data Mining Society, 2019
Open-ended learning environments (OELEs) allow students to freely interact with the content and to discover important principles and concepts of the learning domain on their own. However, only some students possess the necessary skills for efficient and effective exploration. Guidance in the form of targeted interventions or feedback therefore has…
Descriptors: Educational Environment, Interaction, Cluster Grouping, Models
Whitehill, Jacob; Williams, Joseph; Lopez, Glenn; Coleman, Cody; Reich, Justin – International Educational Data Mining Society, 2015
High attrition rates in massive open online courses (MOOCs) have motivated growing interest in the automatic detection of student "stopout". Stopout classifiers can be used to orchestrate an intervention before students quit, and to survey students dynamically about why they ceased participation. In this paper we expand on existing…
Descriptors: Online Courses, Stopouts, Intervention, Automation
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Li, Yuntao; Fu, Chengzhen; Zhang, Yan – International Educational Data Mining Society, 2017
Since MOOC is suffering high dropout rate, researchers try to explore the reasons and mitigate it. Focusing on this task, we employ a composite model to infer behaviors of learners in the coming weeks based on his/her history log of learning activities, including interaction with video lectures, participation in discussion forum, and performance…
Descriptors: Online Courses, Mass Instruction, Student Behavior, Learning Activities
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Rau, Martina A.; Mason, Blake; Nowak, Robert – International Educational Data Mining Society, 2016
To succeed in STEM, students need to learn to use visual representations. Most prior research has focused on conceptual knowledge about visual representations that is acquired via verbally mediated forms of learning. However, students also need perceptual fluency: the ability to rapidly and effortlessly translate among representations. Perceptual…
Descriptors: Models, Learning Processes, STEM Education, Concept Formation
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Kong, Jennifer; Uppal, Harpreet; Swanson, H. Lee – AERA Online Paper Repository, 2016
This study investigated the role of cognitive interventions on word problem solving (WPS) accuracy in children who are English learners (ELs) and at risk for math difficulties (MD). Grade 3 children (n = 158) within classrooms were randomly assigned to either an untreated control group or one of three treatment conditions: paraphrase question…
Descriptors: English Language Learners, Students with Disabilities, Mathematics Skills, Mathematics Instruction
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Bufford, Carolyn A.; Mettler, Everett; Geller, Emma H.; Kellman, Philip J. – Grantee Submission, 2014
Mathematics requires thinking but also pattern recognition. Recent research indicates that perceptual learning (PL) interventions facilitate discovery of structure and recognition of patterns in mathematical domains, as assessed by tests of mathematical competence. Here we sought direct evidence that a brief perceptual learning module (PLM)…
Descriptors: Algebra, Expertise, Perceptual Motor Learning, Intervention
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Yates, Shirley M.; Lockwood, Michelle – North American Chapter of the International Group for the Psychology of Mathematics Education, 2014
Poor mathematics achievement in middle school students is evident in many countries. While some of the difficulties can be attributed to student related factors, there is considerable evidence that computational automaticity is essential for mathematics achievement. A QuickSmart (QS) mathematics intervention program was trialled with a group of…
Descriptors: Intervention, Middle School Students, Low Achievement, Mathematics Achievement