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Christopher Schatschneider; Dana Santangelo; Christine M. White; Cristian E. Vazquez; Emma D. Friedmann – Grantee Submission, 2023
What is the science of reading? The Reading League, in their document "Science of Reading: Defining Guide" (TRL, 2022), proposes that "The science of reading is a vast, interdisciplinary body of scientifically-based* research about reading and issues related to reading and writing." (p. 11.) The asterisk is carrying a lot of…
Descriptors: Educational Research, Reading Research, Research Design, Research Methodology
Candace Walkington; Mitchell J. Nathan; Wen Huang; Jonathan Hunnicutt; Julianna Washington – Grantee Submission, 2023
The emergence of immersive digital technologies, such as shared Augmented Reality (shAR), Virtual Reality (VR) and Motion Capture (MC) offers promising new opportunities to advance our understanding of human cognition and design innovative technology-enhanced learning experiences. Theoretical frameworks for embodied and extended cognition can…
Descriptors: Computer Simulation, Educational Technology, Technology Uses in Education, Motion
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McCarthy, Kathryn S.; Magliano, Joseph P.; Snyder, Jacob O.; Kenney, Elizabeth A.; Newton, Natalie N.; Perret, Cecile A.; Knezevic, Melanie; Allen, Laura K.; McNamara, Danielle S. – Grantee Submission, 2021
The objective in the current paper is to examine the processes of how our research team negotiated meaning using an iterative design approach as we established, developed, and refined a rubric to capture comprehension processes and strategies evident in students' verbal protocols. The overarching project comprises multiple data sets, multiple…
Descriptors: Scoring Rubrics, Interrater Reliability, Design, Learning Processes
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Danielle S. McNamara; Tracy Arner; Reese Butterfuss; Debshila Basu Mallick; Andrew S. Lan; Rod D. Roscoe; Henry L. Roediger; Richard G. Baraniuk – Grantee Submission, 2022
The learning sciences inherently involve interdisciplinary research with an overarching objective of advancing theories of learning and to inform the design and implementation of effective instructional methods and learning technologies. In these endeavors, learning sciences encompass diverse constructs, measures, processes, and outcomes…
Descriptors: Artificial Intelligence, Learning Processes, Learning Motivation, Educational Research
Benjamin A. Motz; Öykü Üner; Harmony E. Jankowski; Marcus A. Christie; Kim Burgas; Diego del Blanco Orobitg; Mark A. McDaniel – Grantee Submission, 2023
For researchers seeking to improve education, a common goal is to identify teaching practices that have causal benefits in classroom settings. To test whether an instructional practice exerts a causal influence on an outcome measure, the most straightforward and compelling method is to conduct an experiment. While experimentation is common in…
Descriptors: Learning Analytics, Experiments, Learning Processes, Learning Management Systems
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Danielle S. McNamara; Tracy Arner; Elizabeth Reilley; Paul Alvarado; Chani Clark; Thomas Fikes; Annie Hale; Betheny Weigele – Grantee Submission, 2022
Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…
Descriptors: Electronic Learning, Educational Technology, Networks, Learning Analytics
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Joseph Wong; Edward Chen; Natalie Au-Yeung; Bella Lerner; Lindsey Richland – Grantee Submission, 2022
Historically, learning for young students has occurred in formal, in-person classroom environments, but the distance learning context has opened a myriad of learning modalities. To this end, we aim to better understand how deploying learning experience design (LXD) approach supports or hinders children's engagement while participating in an…
Descriptors: Learning Processes, Attention Control, Learning Experience, Learner Engagement
Tiffany Herder; Martina A. Rau – Grantee Submission, 2022
Educational video games can engage students in authentic STEM practices, which often involve visual representations. Specifically, because most interactions within video games are mediated through visual representations, video games provide opportunities for students to experience disciplinary practices with visuals. However, prior research has…
Descriptors: Educational Games, Video Games, STEM Education, Visual Stimuli
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Maria Blanton; Angela Murphy Gardiner; Ana Stephens; Rena Stroud; Eric Knuth; Despina Stylianou – Grantee Submission, 2023
We describe here lessons learned in designing an early algebra curriculum to measure early algebra's impact on children's algebra readiness for middle grades. The curriculum was developed to supplement regular mathematics instruction in Grades K-5. Lessons learned centered around the importance of several key factors, including using conceptual…
Descriptors: Mathematics Curriculum, Curriculum Design, Mathematics Instruction, Kindergarten
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Gary Weiser; Alison K. Billman; Christopher J. Harris; Lauren M. Brodsky; Damelin Daniel – Grantee Submission, 2022
The "Framework" and NGSS bring to the forefront the role of language in doing science and in learning from doing science. Yet, most existing science assessments for elementary learners do not integrate or attend to aspects of scientific language and literacy that are essential components of science proficiency. Accordingly, there is a…
Descriptors: Standards, Language Role, Science Instruction, Science Tests
Walkington, Candace – Grantee Submission, 2020
This paper responds to a 2016 systematic literature review of the research on learning games by Ke (2016). The review paper unpacked the idea of intrinsic integration in learning games, analyzing important emergent themes. The key ideas and the value of this review are discussed in the context of the recent shift to virtual instruction. The…
Descriptors: Educational Games, Teaching Methods, Educational Technology, Technology Uses in Education
Wu, Sally P. W.; Rau, Martina A. – Grantee Submission, 2019
Recent research suggests that drawing activities can help students learn concepts in the science, technology, engineering, and mathematics (STEM) disciplines. In particular, drawing activities, which mimic the practices of STEM professionals, can help students engage with visual-spatial content. However, prior work has also shown that students…
Descriptors: STEM Education, Freehand Drawing, Learning Processes, College Students
Matthew E. Jacovina; Erica L. Snow; G. Tanner Jackson; Danielle S. McNamara – Grantee Submission, 2015
To optimize the benefits of game-based practice within Intelligent Tutoring Systems (ITSs), researchers examine how game features influence students' motivation and performance. The current study examined the influence of game features and individual differences (reading ability and learning intentions) on motivation and performance. Participants…
Descriptors: Game Based Learning, Intelligent Tutoring Systems, Learning Motivation, Performance
McNamara, Danielle S.; Jacovina, Matthew E.; Snow, Erica L.; Allen, Laura K. – Grantee Submission, 2015
Work in cognitive and educational psychology examines a variety of phenomena related to the learning and retrieval of information. Indeed, Alice Healy, our honoree, and her colleagues have conducted a large body of groundbreaking research on this topic. In this article we discuss how 3 learning principles (the generation effect, deliberate…
Descriptors: Learning Processes, Instructional Design, Intelligent Tutoring Systems, Writing Instruction
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