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Xin Wei; Susu Zhang; Jihong Zhang – Grantee Submission, 2025
This investigation explores the relationship between the use of digital pencil and mathematical problem-solving accuracy among 1,530 students with learning disabilities (LD) and 25,400 general education (GE) peers from the 2017 digital National Assessment of Educational Progress mathematics assessment. The term "digital pencil" in this…
Descriptors: Educational Technology, Technology Uses in Education, Mathematics Skills, Problem Solving
Peer reviewedNatalie Brezack; Wynnie Chan; Mingyu Feng – Grantee Submission, 2024
Perseverance is critical for students' achievement and may be particularly important after COVID-19. This paper includes analyses of teacher and principal interviews and student educational technology usage data to examine students' perseverance during math problem-solving across three cohorts of students during and after COVID-19. Data were…
Descriptors: COVID-19, Pandemics, Academic Persistence, Mathematics Education
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
Vincent Aleven; Jori Blankestijn; LuEttaMae Lawrence; Tomohiro Nagashima; Niels Taatgen – Grantee Submission, 2022
Past research has yielded ample knowledge regarding the design of analytics-based tools for teachers and has found beneficial effects of several tools on teaching and learning. Yet there is relatively little knowledge regarding the design of tools that support teachers when a class of students uses AI-based tutoring software for self-paced…
Descriptors: Educational Technology, Artificial Intelligence, Problem Solving, Intelligent Tutoring Systems
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
Chan, Jenny Yun-Chen; Smith, Hannah; Closser, Avery H.; Drzewiecki, Katharine C.; Ottmar, Erin R. – Grantee Submission, 2021
Numbers and variables often follow the same principles of arithmetic operations, yet numbers can be computed to a value whereas variables cannot. We examined the effect of symbols--numbers versus variables--on middle school students' problem-solving behaviors in a dynamic algebra notation system by presenting problems in numbers (e.g., 3+5-3) or…
Descriptors: Symbols (Mathematics), Numbers, Middle School Students, Mathematics Instruction
Jenny Yun-Chen Chan; Erin R. Ottmar; Hannah Smith; Avery H. Closser – Grantee Submission, 2022
To efficiently solve mathematical expressions and equations, students need to notice the systemic structure of mathematical expressions (e.g., inverse relation between 3 and 3 in 3 + 5 - 3). We examined how symbols--specifically variables versus numbers--and students' algebraic knowledge impacted seventh graders' problem-solving strategies and use…
Descriptors: Problem Solving, Algebra, Symbols (Mathematics), Knowledge Level
Rau, Martina A.; Zahn, Miranda; Misback, Edward; Herder, Tiffany; Burstyn, Judith – Grantee Submission, 2021
Background: A key aspect of STEM learning is the use of visual representations for problem solving. To successfully use visuals, students need to make sense of how they show concepts and to fluently perceive domain-relevant information in them. Adding support for sense making and perceptual fluency to problem-solving activities enhances students'…
Descriptors: Chemistry, College Science, Undergraduate Students, Problem Solving
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
Natalie Brezack; Wynnie Chan; Mingyu Feng – Grantee Submission, 2024
This paper explores how learning analytics data provided by a math problem-solving educational technology platform informed 5th and 6th grade teachers' instructional decisions around socioemotional learning (SEL). MathSpring is an educational technology tool that provides teachers with data on students' effort, progress, and emotions while…
Descriptors: Social Emotional Learning, Mathematics Instruction, Teacher Attitudes, Comparative Analysis
Daniel Weitekamp III; Erik Harpstead; Kenneth R. Koedinger – Grantee Submission, 2020
Intelligent tutoring systems (ITSs) have consistently been shown to improve the educational outcomes of students when used alone or combined with traditional instruction. However, building an ITS is a time-consuming process which requires specialized knowledge of existing tools. Extant authoring methods, including the Cognitive Tutor Authoring…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Instructional Design, Simulation
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
Christian T. Doabler; Ben Clarke; Derek Kosty; Marah Sutherland; Jessica E. Turtura; Allison R. Firestone; Georgia L. Kimmel; Patrick Brott; Tasia L. Brafford; Nancy J. Nelson Fien; Keith Smolkowski; Kathleen Jungjohann – Grantee Submission, 2022
Measurement and statistical investigation are areas of mathematics visibly neglected in educational intervention research, particularly studies involving students with or at risk for mathematics difficulties (MD). This shortage is concerning given the importance these areas hold in students' pursuit of mathematical proficiency. This study…
Descriptors: Measurement, Statistical Analysis, Grade 2, Elementary School Students
Martina Angela Rau; Will Keesler; Ying Zhang; Sally PW Wu – Grantee Submission, 2020
Instruction in most STEM domains uses visuals to illustrate complex problems. During problem solving, students often manipulate and construct visuals. Traditionally, students draw visuals on paper and receive delayed feedback from an instructor. Educational technologies have the advantage that they can provide immediate feedback on students'…
Descriptors: Visualization, Educational Technology, Chemistry, STEM Education
Albacete, Patricia; Jordan, Pamela; Katz, Sandra; Chounta, Irene-Angelica; McLaren, Bruce M. – Grantee Submission, 2019
This paper describes an initial pilot study of Rimac, a natural-language tutoring system for physics. Rimac uses a student model to guide decisions about "what content to discuss next" during reflective dialogues that are initiated after students solve quantitative physics problems, and "how much support to provide" during…
Descriptors: Natural Language Processing, Teaching Methods, Educational Technology, Technology Uses in Education
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