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Tomohiro Nagashima; Elizabeth Ling; Bin Zheng; Anna N. Bartel; Elena M. Silla; Nicholas A. Vest; Martha W. Alibali; Vincent Aleven – Grantee Submission, 2022
Integrating visual representations in an interactive learning activity effectively scaffolds performance and learning. However, it is unclear whether and how "sustaining" or "interleaving" visual scaffolding helps learners solve problems efficiently and learn from problem solving. We conducted a classroom study with 63…
Descriptors: Visual Aids, Scaffolding (Teaching Technique), Intelligent Tutoring Systems, Problem Solving
Tomohiro Nagashima; Stephanie Tseng; Elizabeth Ling; Anna N. Bartel; Nicholas A. Vest; Elena M. Silla; Martha W. Alibali; Vincent Aleven – Grantee Submission, 2022
Learners' choices as to whether and how to use visual representations during learning are an important yet understudied aspect of self-regulated learning. To gain insight, we developed a "choice-based" intelligent tutor in which students can choose whether and when to use diagrams to aid their problem solving in algebra. In an…
Descriptors: Middle School Students, Visual Aids, Intelligent Tutoring Systems, Independent Study
Bartel, Anna N.; Silla, Elena M.; Vest, Nicholas A.; Nagashima, Tomohiro; Aleven, Vincent; Alibali, Martha W. – Grantee Submission, 2021
Research has shown that tape diagrams are beneficial for algebra learning. However, it is unclear whether certain visual features of tape diagrams have implications for learning. We investigated, with undergraduate students and math teachers, whether tape diagrams with different visual features (color, presence of outer lines, and position of the…
Descriptors: Mathematics Skills, Visual Aids, Algebra, Undergraduate Students
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
Rosenblum, L. Penny; Zebehazy, Kim T.; Gage, Nicholas A.; Beal, Carole R. – Grantee Submission, 2021
Introduction: Developing graphicacy skills is important for students with visual impairments if they are to succeed in science, technology, engineering, and mathematics (STEM) content. Teachers of students with visual impairments report that they lack resources to use in teaching students graphicacy skills. Methods: Forty-one students with visual…
Descriptors: Algebra, Data Interpretation, Visual Aids, Visual Impairments
Anna N. Bartel; Martha W. Alibali – Grantee Submission, 2021
Many people find that solving story problems is challenging. A key source of the difficulty is symbolizing problem situations. In two experiments, we tested whether diagrams promoted successful symbolization of two-operator story problems, and we tested whether diagrams that depicted the integration of operations were more beneficial than diagrams…
Descriptors: Symbols (Mathematics), Visual Aids, Word Problems (Mathematics), Equations (Mathematics)
Norum, Reilly; Lee, Ji-Eun; Ottmar, Erin – Grantee Submission, 2022
This preliminary study examined whether distinct student profiles (N = 760) emerged based on their behavioral patterns in an online algebraic learning game. We applied k-means clustering analysis to clickstream data collected in the game and then examined how students' behavioral patterns varied across the clusters using data visualization. The…
Descriptors: Computer Games, Game Based Learning, Student Characteristics, Visual Aids
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
Nagashima, Tomohiro; Yang, Kexin; Bartel, Anna N.; Silla, Elena M.; Vest, Nicholas A.; Alibali, Martha W.; Aleven, Vincent – Grantee Submission, 2020
When designing an instructional tool and using it in pedagogical activities, it is essential that designers and users understand what pedagogical affordances and constraints the tool provides to support its successful integration into targeted pedagogical activities. Toward this end, we developed "Pedagogical Affordance Analysis (PAA)."…
Descriptors: Teaching Methods, Pedagogical Content Knowledge, Mathematics Instruction, Middle School Students
Scaffolded Self-Explanation with Visual Representations Promotes Efficient Learning in Early Algebra
Tomohiro Nagashima; Anna N. Bartel; Stephanie Tseng; Nicholas A. Vest; Elena M. Silla; Martha W. Alibali; Vincent Aleven – Grantee Submission, 2021
Although visual representations are generally beneficial for learners, past research also suggests that often only a subset of learners benefits from visual representations. In this work, we designed and evaluated anticipatory diagrammatic self- explanation, a novel form of instructional scaffolding in which visual representations are used to…
Descriptors: Visual Aids, Scaffolding (Teaching Technique), Mathematics Instruction, Algebra
Zhang, Zhiyong; Zhang, Danyang – Grantee Submission, 2021
Data science has maintained its popularity for about 20 years. This study adopts a bottom-up approach to understand what data science is by analyzing the descriptions of courses offered by the data science programs in the United States. Through topic modeling, 14 topics are identified from the current curricula of 56 data science programs. These…
Descriptors: Statistics Education, Definitions, Course Descriptions, Computer Science Education
Nagashima, Tomohiro; Bartel, Anna N.; Yadav, Gautam; Tseng, Stephanie; Vest, Nicholas A.; Silla, Elena M.; Alibali, Martha W.; Aleven, Vincent – Grantee Submission, 2021
Prior research shows that self-explanation promotes understanding by helping learners connect new knowledge with prior knowledge. However, despite ample evidence supporting the effectiveness of self-explanation, an instructional design challenge emerges in how best to scaffold self-explanation. In particular, it is an open challenge to design…
Descriptors: Teaching Methods, Mathematics Instruction, Algebra, Middle School Students
Powell, Sarah R.; Berry, Katherine A.; Fall, Anna-Maria; Roberts, Greg; Fuchs, Lynn S.; Barnes, Marcia A. – Grantee Submission, 2021
The purpose of this study was to explore the paths by which word-problem intervention, with versus without embedded pre-algebraic reasoning instruction, improves word-problem performance. Students with mathematics difficulty (MD; n = 304) were randomly assigned to a business-as-usual condition or one of two variants of word-problem intervention.…
Descriptors: Word Problems (Mathematics), Mathematics Instruction, Problem Solving, Intervention
Nagashima, Tomohiro; Bartel, Anna N.; Silla, Elena M.; Vest, Nicholas A.; Alibali, Martha W.; Aleven, Vincent – Grantee Submission, 2020
Many studies have shown that visual representations can enhance student understanding of STEM concepts. However, prior research suggests that visual representations alone are not necessarily effective across a broad range of students. To address this problem, we created a novel, scaffolded form of diagrammatic self-explanation in which students…
Descriptors: Algebra, Teaching Methods, Visual Aids, Concept Formation