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Moran P. Lee; Abubakir Siedahmed; Neil T. Heffernan – Grantee Submission, 2024
Contextual multi-armed bandits have previously been used to personalize student support messages given to learners by supplying a model with relevant context about the user, problem, and available student supports. In this work, we propose using careful feature selection with relevant domain knowledge to improve the quality of student support…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Reinforcement
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Walkington, Candace; Gravell, Jamie; Velazquez, José A.; He, Tianyu; Hickey, George; Nathan, Mitchell J.; Cuevas, Anthony – Grantee Submission, 2021
Augmented Reality (AR) and Virtual Reality (VR) platforms now support shared, immersive experiences that enable people to directly physically and perceptually engage with mathematical objects, including shared objects. These new forms of AR/VR technology -- which we call "shared holographic AR/VR" (shAR) -- enable multiple learners to…
Descriptors: Cooperative Learning, Electronic Learning, Computer Simulation, Mathematics Education
Cari F. Herrmann-Abell; George E. DeBoer – Grantee Submission, 2023
This study describes the role that Rasch measurement played in the development of assessments aligned to the "Next Generation Science Standards," tasks that require students to use the three dimensions of science practices, disciplinary core ideas and cross-cutting concepts to make sense of energy-related phenomena. A set of 27…
Descriptors: Item Response Theory, Computer Simulation, Science Tests, Energy
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Amy Adair; Michael Sao Pedro; Janice Gobert; Jessica A. Owens – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards such as the Next Generation Science Standards (NGSS, 2013). In this paper, we used a virtual performance-based formative assessment to capture students' competencies at both "developing" and "evaluating"…
Descriptors: Student Evaluation, Mathematical Models, Competence, Scientific Research
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Candace Walkington; Mitchell J. Nathan; Jonathan Hunnicutt; Julianna Washington; Kasi Holcomb-Webb – Grantee Submission, 2022
Novel forms of technology, like shared Augmented Reality (AR) holograms, can spur the discovery of new hypotheses about cognition and how it is embodied and distributed. These holograms have affordances for exploration, collaboration, and learning that have never been seen before. In the present study, we examine the multimodal ways that high…
Descriptors: Geometry, Mathematics Instruction, Schemata (Cognition), Teaching Methods
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Julianna Washington; Taylor Darwin; Theodora Beauchamp; Candace Walkington – Grantee Submission, 2024
Prisms VR, a secondary math learning application, allows for users to see, manipulate, and engage with mathematical concepts in an embodied way in Virtual Reality (VR) environment. We examine cases in which mathematics teachers and middle school students worked through Prisms and reflected upon their experiences. Findings indicate that VR…
Descriptors: Mathematics Instruction, Teacher Attitudes, Computer Simulation, Algebra
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Amy Adair; Ellie Segan; Janice Gobert; Michael Sao Pedro – Grantee Submission, 2023
Developing models and using mathematics are two key practices in internationally recognized science education standards, such as the Next Generation Science Standards (NGSS). However, students often struggle with these two intersecting practices, particularly when developing mathematical models about scientific phenomena. Formative…
Descriptors: Artificial Intelligence, Mathematical Models, Science Process Skills, Inquiry
Joe Olsen; Amy Adair; Janice Gobert; Michael Sao Pedro; Mariel O'Brien – Grantee Submission, 2022
Many national science frameworks (e.g., Next Generation Science Standards) argue that developing mathematical modeling competencies is critical for students' deep understanding of science. However, science teachers may be unprepared to assess these competencies. We are addressing this need by developing virtual lab performance assessments that…
Descriptors: Mathematical Models, Intelligent Tutoring Systems, Performance Based Assessment, Data Collection
Kenneth Holstein; Erik Harpstead; Rebecca Gulotta; Jodi Forlizzi – Grantee Submission, 2020
As we design increasingly complex systems, we run up against fundamental limitations of human imagination. To support practice, it becomes essential to use authentic data and algorithms as design materials to augment designers' intuitions. Recent work has explored some dimensions of using data as a design material, suggesting the contours of a new…
Descriptors: Computer Simulation, Elementary Secondary Education, Educational Games, Computer Games
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Jeremy Stoddard; Jais Brohinsky; Derek Behnke; David Shaffer; Codu Marquart; M. Shane Tutweiler; Jason Chen – Grantee Submission, 2022
In this paper, we describe the design for PurpleState, an internship simulation that applies the epistemic game model for informed civic learning. PurpleState places students in the role of interns at a political media firm and asks them to design a media campaign on a state level policy issue. Unlike the use of these models in STEM education,…
Descriptors: Citizenship Education, Educational Games, Teaching Methods, Persuasive Discourse
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Piety, Philip J. – Grantee Submission, 2021
The paper discusses the use of "Productive Disciplinary Engagement" (PDE) for a curricular project that features a technology-based alternate reality game (ARG) with the objective of teaching undergraduate students about the collaborative nature of STEM careers. Much of the PDE research uses PDE as either a design-principle or as an…
Descriptors: Educational Technology, Technology Uses in Education, Undergraduate Students, Educational Games
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Leite, Walter L.; Kuang, Huan; Shen, Zuchao; Chakraborty, Nilanjana; Michailidis, George; D'Mello, Sidney; Xing, Wanli – Grantee Submission, 2022
Previous research has shown that providing video recommendations to students in virtual learning environments implemented at scale positively affects student achievement. However, it is also critical to evaluate whether the treatment effects are heterogeneous, and whether they depend on contextual variables such as disadvantaged student status and…
Descriptors: Algebra, Teaching Methods, Mathematics Instruction, COVID-19
Laffey, James M.; Griffin, Joe; Sigoloff, Justin; Lander, Sean; Sadler, Troy; Goggins, Sean; Kim, So Mi; Wulff, Eric; Womack, Andrew J. – Grantee Submission, 2017
Mission HydroSci is a game-based 3D virtual environment for enacting transformational role-playing for middle school science students. Student-players will be engaged in a narrative about needing to investigate water resources and use scientific argumentation to complete missions critical to the survival and accomplishments of the members of their…
Descriptors: Transformative Learning, Computer Games, Computer Simulation, Role Playing
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Couper, Lisa; Johannes, Kristen; Powers, Jackie; Silberglitt, Matt; Davenport, Jodi – Grantee Submission, 2016
Understanding key concepts in molecular biology requires reasoning about molecular processes that are not directly observable and, as such, presents a challenge to students and teachers. We ask whether novel interactive physical models and activities can help students understand key processes in viral replication. Our 3D tangible models are…
Descriptors: Molecular Biology, Scientific Concepts, Science Instruction, Teaching Methods
Gobert, Janice Darlene; Sao Pedro, Michael A.; Baker, Ryan S. – Grantee Submission, 2012
In this paper we explored whether engaging in two inquiry skills associated with data collection, designing controlled experiments and testing stated hypotheses, within microworlds for one physical science domain (density) impacted the acquisition of inquiry skills in another domain (phase change). To do so, we leveraged educational data mining…
Descriptors: Data Collection, Learning Analytics, Inquiry, Science Process Skills