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Tamisha Thompson; Jennifer St. John; Siddhartha Pradhan; Erin Ottmar – Journal of Computer Assisted Learning, 2025
Background: Educational technologies typically provide teachers with analytics regarding student proficiency, but few digital tools provide teachers with process-based information about students' variable problem-solving strategies as they solve problems. Utilising design thinking and co-designing with teachers can provide insight to researchers…
Descriptors: Mathematics Instruction, Educational Technology, Problem Solving, Instructional Design
Ji-Eun Lee; Caroline Byrd Hornburg; Jenny Yun-Chen Chan; Erin Ottmar – Grantee Submission, 2022
This study investigated the effects of (1) proximal grouping of numbers; (2) problem-solving goals to make 100; and (3) prior knowledge on students' initial solution strategies in an interactive online mathematics game. In this game, students transformed an initial expression into a perceptually different but mathematically equivalent goal state.…
Descriptors: Problem Solving, Electronic Learning, Mathematics Activities, Game Based Learning
Ji-Eun Lee; Caroline Byrd Hornburg; Jenny Yun-Chen Chan; Erin Ottmar – Journal of Numerical Cognition, 2022
This study investigated the effects of: (1) proximal grouping of numbers; (2) problem-solving goals to make 100; and (3) prior knowledge on students' initial solution strategies in an interactive online mathematics game. In this game, students transformed an initial expression into a perceptually different but mathematically equivalent goal state.…
Descriptors: Problem Solving, Electronic Learning, Mathematics Activities, Game Based Learning
Kirk Vanacore; Erin Ottmar; Alison Liu; Adam Sales – Society for Research on Educational Effectiveness, 2023
Background: Implementation quality is a significant factor in determining whether a program has its intended impact (Durlak and DuPre, 2008; List et al., 2021). Therefore, when studying a program's efficacy, researchers must ensure that the program is implemented as intended to estimate its impact. To evaluate whether a program is being…
Descriptors: Program Implementation, Fidelity, Program Evaluation, Evaluation Criteria
Jenny Yun-Chen Chan; Avery Harrison Closser; Hannah Smith; Ji-Eun Lee; Kathryn C. Drzewiecki; Erin Ottmar – Grantee Submission, 2023
Prior work has established that cognitive and perceptual processes influence students' attention to notational structures in mathematical expressions, which in turn affects their problem-solving approaches and performance. Advances in educational technology provide opportunities to further investigate these processes, improve student learning, and…
Descriptors: Algebra, Educational Technology, Mathematics Instruction, Mathematics Education
Reilly Norum; Ji-Eun Lee; Erin Ottmar; Lane Harrison – British Journal of Educational Technology, 2024
Well-designed online educational games can improve students' math knowledge, skills and engagement; however, more research is needed to understand how to formatively assess components of students' mathematical understanding and learning as students solve problems in online educational games. In this study, we examined how 7th-grade students' (N =…
Descriptors: Educational Games, Computer Games, Student Evaluation, Mathematics Skills
Kirk P. Vanacore; Ji-Eun Lee; Alena Egorova; Erin Ottmar – Grantee Submission, 2023
To meet the goal of understanding students' complex learning processes and maximizing their learning outcomes, the field of learning analytics delves into the myriad of data captured as students use computer assisted learning platforms. Although many platforms associated with learning analytics focus on students' performance, performance on…
Descriptors: Learning Analytics, Outcomes of Education, Problem Solving, Learning Processes
Ji-Eun Lee; Aravind Stalin; Vy Ngo; Katie Drzewiecki; Cindy Trac; Erin Ottmar – Grantee Submission, 2022
New educational technologies that utilize students' interaction data and visualizations provide a means to expand our understanding of learning processes. In this study, we apply two advanced and novel data visualization techniques, called the "Indivisualizer" and a "Sankey diagram," to explore how middle school students (N =…
Descriptors: Mathematics Instruction, Middle School Students, Problem Solving, Game Based Learning
Ji-Eun Lee; Aravind Stalin; Vy Ngo; Katie Drzewiecki; Cindy Trac; Erin Ottmar – Journal of Interactive Learning Research, 2022
New educational technologies that utilize students' interaction data and visualizations provide a means to expand our understanding of learning processes. In this study, we apply two advanced and novel data visualization techniques, called the "Indivisualizer" and a "Sankey diagram," to explore how middle school students (N =…
Descriptors: Mathematics Instruction, Middle School Students, Problem Solving, Game Based Learning
Hannah Smith; Avery H. Closser; Erin Ottmar; Jenny Yun-Chen Chan – Applied Cognitive Psychology, 2022
Worked examples are effective learning tools for algebraic equation solving. However, they are typically presented in a static concise format, which only displays the major derivation steps in one static image. The current work explores how worked examples that vary in their extensiveness (i.e., detail) and degree of dynamic presentation (i.e.,…
Descriptors: Algebra, Mathematics Instruction, Equations (Mathematics), Problem Solving
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
Ji-Eun Lee; Aravind Stalin; Vy Ngo; Katharine Drzewiecki; Cindy Trac; Erin Ottmar – Grantee Submission, 2021
We apply an advanced data visualization technique, "Sankey diagram," to explore how middle-school students (N = 343) solved problems in a game-based algebraic notation tool. The results indicate that there is a large variation in the types of students' strategies to solve the problems, with some approaches being more efficient than…
Descriptors: Mathematics Instruction, Middle School Students, Problem Solving, Game Based Learning
Allison S. Liu; Kirk Vanacore; Erin Ottmar – Grantee Submission, 2022
Feedback in educational technologies can teach and engage students in math, but questions remain on how to present failure feedback that supports positive learning behaviors. We explore how error- and reward-based feedback influenced students' choices to replay completed problems in "From Here to There!," a math game-based educational…
Descriptors: Educational Technology, Technology Uses in Education, Feedback (Response), Failure

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