Avery Closser

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Assistant Professor of Emerging Technologies and Learning

University of Florida
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United States

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About

Avery Closser is an Assistant Professor of Emerging Technologies and Learning at the University of Florida, USA. His research focuses on the intersection of technology and education, particularly in relation to middle school math achievement, perceptual cues in learning, and game-based technologies. Recent articles authored by Dr. Closser include studies on immediate feedback in online problem sets, the effects of perceptual cues on mathematical performance, and the integration of learning analytics with embodied design.

Recent Grants

Grant: Close

Now I See It: Supporting Flexible Problem Solving in Mathematics through Perceptual Scaffolding in ASSISTments

Open Date: 2023-09-01

Close Date: 2025-08-31

Grant: Close

Examining the Effects of Perceptual Cues on Middle School Students’ Online Mathematical Reasoning and Learning

Open Date: 2023-06-01

Close Date: 2026-05-31

Articles (12)

The impact of algebra worked example presentations on student learning

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., static vs. sequential line‐by‐line vs. dynamic format that demonstrates the problem‐solving process) impact learning. We conducted an online experiment in which 230 algebra students completed a pretest, studied worked examples in one of six presentation conditions, and completed a posttest. We found that overall, students improved from pretest to posttest after viewing the worked examples; we did not find significant differences on posttest performance between worked example presentations. These results have implications for the design of worked examples in online tutoring systems as well as for cognitive load theory and perceptual learning theory in the design of worked examples.

Year:

2022

Collaborators (11)

Stacy Shaw

Assistant Professor

Worcester Polytechnic Institute

UNITED STATES

Anthony Botelho

Assistant Professor

University of Florida

UNITED STATES

Hannah Smith

Visiting Assistant Professor

Assumption University

UNITED STATES

Francisco Enrique Vicente Castro

New York University

UNITED STATES

Adam Sales

Assistant Professor

Worcester Polytechnic Institute

UNITED STATES

Jeffrey Bye

Assistant Professor

California State University, Dominguez Hills

UNITED STATES

Erin Ottmar

Worcester Polytechnic Institute

UNITED STATES

Puyuan Zhang

Worcester Polytechnic Institute

UNITED STATES

Tomohiro Nagashima

Carnegie Mellon University

UNITED STATES

Caroline Hornburg

Assistant Professor

Virginia Polytechnic Institute and State University

UNITED STATES

Jenny Yun‐Chen Chan

-

UNITED STATES
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