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Sami Baral; Li Lucy; Ryan Knight; Alice Ng; Luca Soldaini; Neil T. Heffernan; Kyle Lo – Grantee Submission, 2024
In real-world settings, vision language models (VLMs) should robustly handle naturalistic, noisy visual content as well as domain-specific language and concepts. For example, K-12 educators using digital learning platforms may need to examine and provide feedback across many images of students' math work. To assess the potential of VLMs to support…
Descriptors: Visual Learning, Visual Perception, Natural Language Processing, Freehand Drawing
Smolkowski, Keith; Strycker, Lisa A.; Anderson, Lynne; Marconi, Peggy; Abia-Smith, Lisa – Grantee Submission, 2020
This pilot study evaluated a novel professional development (PD) model designed to prepare K-12 educators in high-need, rural school districts to teach evidence-based argument writing. The PD showed teachers how to engage students in discussions about visual art using Visual Thinking Strategies to enhance students' argumentation writing. Twenty…
Descriptors: Visual Learning, Discussion (Teaching Technique), Critical Thinking, Persuasive Discourse
Kenneth Holstein; Bruce M. McLaren; Vincent Aleven – Grantee Submission, 2017
Classroom experiments that evaluate the effectiveness of educational technologies do not typically examine the effects of classroom contextual variables (e.g., out-of-software help-giving and external distractions). Yet these variables may influence students' instructional outcomes. In this paper, we introduce the Spatial Classroom Log Explorer…
Descriptors: Learning Processes, Visual Learning, Visualization, Computer Software
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Kendeou, Panayiota; McMaster, Kristen L; Butterfuss, Reese; Kim, Jasmine; Bresina, Britta; Wagner, Kyle – Grantee Submission, 2019
We present an integrated theoretical framework guiding the use of visual narratives in educational settings. We focus specifically on the use of static and dynamic visual narratives to teach and assess inference skills in young children and discuss evidence to support the efficacy of this approach. In doing so, first we review the basis of the…
Descriptors: Inferences, Language Processing, Feedback (Response), Visual Aids
Chen, Zhe; Siegler, Robert S. – Grantee Submission, 2013
This study examined how toddlers gain insights from source video displays and use the insights to solve analogous problems. Two- to 2.5-year-olds viewed a source video illustrating a problem-solving strategy and then attempted to solve analogous problems. Older but not younger toddlers extracted the problem-solving strategy depicted in the video…
Descriptors: Problem Solving, Young Children, Logical Thinking, Toddlers