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Zhang, Zhilin; Bhavya, Bhavya; Angrave, Lawrence; Sui, Ruihua; Kooper, Rob; Mahipal, Chirantan; Huang, Yun – Grantee Submission, 2021
Engineering students used ClassTranscribe, an accessible video player, in multiple engineering courses to view course videos and search for video content. The tool collected detailed timestamped student behavioral data from 1,894 students across 25 engineering courses that included what individual students searched for and when. A previous…
Descriptors: Engineering Education, Video Technology, Visual Aids, Search Strategies
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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
Corlatescu, Dragos-Georgian; Dascalu, Mihai; McNamara, Danielle S. – Grantee Submission, 2021
Reading comprehension is key to knowledge acquisition and to reinforcing memory for previous information. While reading, a mental representation is constructed in the reader's mind. The mental model comprises the words in the text, the relations between the words, and inferences linking to concepts in prior knowledge. The automated model of…
Descriptors: Reading Comprehension, Reading Processes, Memory, Schemata (Cognition)
Ionita, Remus Florentin; Dascalu, Mihai; Corlatescu, Dragos-Georgian; McNamara, Danielle S – Grantee Submission, 2021
Exploring new or emerging research domains or subdomains can become overwhelming due to the magnitude of available resources and the high speed at which articles are published. As such, a tool that curates the information and underlines central entities, both authors and articles from a given research context, is highly desirable. Starting from…
Descriptors: Prediction, Learning Analytics, Authors, Network Analysis
Nicula, Bogdan; Dascalu, Mihai; Newton, Natalie; Orcutt, Ellen; McNamara, Danielle S. – Grantee Submission, 2021
The ability to automatically assess the quality of paraphrases can be very useful for facilitating literacy skills and providing timely feedback to learners. Our aim is twofold: a) to automatically evaluate the quality of paraphrases across four dimensions: lexical similarity, syntactic similarity, semantic similarity and paraphrase quality, and…
Descriptors: Phrase Structure, Networks, Semantics, Feedback (Response)
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Joseph Wong; Natalie Au Yeung; Bella Lerner; Lindsey Richland – Grantee Submission, 2021
Historically, learning for young students has occurred in formal, in-person classroom environments. But in just a matter of weeks, children were mandated to transition to a completely new mode of learning, facing new learning challenges with heightened anxieties. To this end, we aim to better understand how our learning experience design (LXD)…
Descriptors: Instructional Design, Learner Engagement, Video Technology, Online Courses
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Niloo Bavarian; Kendra Lewis; Stephanie Holloway; David DuBois; Brian Flay; Carl F. Siebert – Grantee Submission, 2021
Background: Given its ability to exacerbate health inequities through its disproportionate impact on low-income communities, the need exists to better understand factors that influence substance use among adolescents. Moreover, given its multi-etiological nature, preventing adolescent substance use requires addressing intrapersonal, interpersonal,…
Descriptors: Substance Abuse, Public Schools, Program Effectiveness, Intervention
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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
Chung, Gregory K. W. K.; Ruan, Ziyue; Redman, Elizabeth J. K. H. – Grantee Submission, 2021
This study conducted an exploratory study to compare children's performance on a video game-based task to their performance on an analogous hands-on physical task. The game involved a slide and concepts of height and friction. For both formats, the number of rounds it took to beat a level and the number of steps used within each round were…
Descriptors: Task Analysis, Performance, Experiential Learning, Educational Games
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Iseli, Markus; Feng, Tianying; Chung, Gregory; Ruan, Ziyue; Shochet, Joe; Strachman, Amy – Grantee Submission, 2021
Computational thinking (CT) has emerged as a key topic of interest in K-12 education. Children that are exposed at an early age to STEM curriculum, such as computer programming and computational thinking, demonstrate fewer obstacles entering technical fields. Increased knowledge of programming and computation in early childhood is also associated…
Descriptors: Computation, Thinking Skills, STEM Education, Coding
Jia Tracy Shen; Michiharu Yamashita; Ethan Prihar; Neil Heffernan; Xintao Wu; Sean McGrew; Dongwon Lee – Grantee Submission, 2021
Educational content labeled with proper knowledge components (KCs) are particularly useful to teachers or content organizers. However, manually labeling educational content is labor intensive and error-prone. To address this challenge, prior research proposed machine learning based solutions to auto-label educational content with limited success.…
Descriptors: Mathematics Education, Knowledge Level, Video Technology, Educational Technology
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Chandra Hawley Orrill; Martha Epstein; Kun Wang; Hamza Malik; Yasemin Copur-Gencturk – Grantee Submission, 2021
Measures of teacher mathematical knowledge are notoriously difficult to develop (e.g., Orrill et al., 2015). This is in part because of the multidimensional nature of teacher knowledge. As part of two separate projects being undertaken by this research team, we have attempted to write assessments of teacher pedagogical content knowledge (PCK) in…
Descriptors: Mathematics Instruction, Pedagogical Content Knowledge, Mathematics Tests, Thinking Skills
Benjamin D. Nye; Aaron Shiel; Ibrahim Burak Olmez; Anirudh Mittal; Jason Latta; Daniel Auerbach; Yasemin Copur-Gencturk – Grantee Submission, 2021
Despite the critical role of teachers in the educational process, few advanced learning technologies have been developed to support teacher-instruction or professional development. This lack of support is particularly acute for middle school math teachers, where only 37% felt well prepared to scaffold instruction to address the needs of diverse…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Faculty Development, Abstract Reasoning
LuEttaMae Lawrence; Kenneth Holstein; Susan R. Berman; Stephen Fancsali; Bruce M. McLaren; Steven Ritter; Vincent Aleven – Grantee Submission, 2021
nstruction has forced teachers to navigate unexpected constraints while providing meaningful learning experiences for their students. This transition has drastically changed how teachers orchestrate learning for their students. To explore these unique orchestration challenges, we used needs finding and validation activities to explore middle…
Descriptors: Educational Change, In Person Learning, Distance Education, Teaching Methods
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Ji-Eun Lee; Erin Ottmar; Jenny Yun-Chen Chan; Barbara Booker; Lauren Decker-Woodrow – Grantee Submission, 2021
The COVID-19 pandemic has had a massive impact on education systems in the U.S, prompting a variety of changes to school learning environments. This study investigates student/family choices of learning modality in one large school district in the U.S and examines how these choices differ by students' race/ethnicity and performance level. Results…
Descriptors: Learning Modalities, In Person Learning, Electronic Learning, Distance Education
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