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HyeJin Hwang; Panayiota Kendeou; Kristen L. McMaster – Grantee Submission, 2025
Successful comprehension is only possible when children draw inferences about ideas implicit or missing in discourse. Supporting inference-making with explicit instruction must start early given its importance in comprehension and knowledge development. However, students who experience difficulties with early reading skills often do not receive…
Descriptors: Inferences, Video Technology, Reading Difficulties, Reading Skills
Aaron Haim; Eamon Worden; Neil T. Heffernan – Grantee Submission, 2024
Since GPT-4's release it has shown novel abilities in a variety of domains. This paper explores the use of LLM-generated explanations as on-demand assistance for problems within the ASSISTments platform. In particular, we are studying whether GPT-generated explanations are better than nothing on problems that have no supports and whether…
Descriptors: Artificial Intelligence, Learning Management Systems, Computer Software, Intelligent Tutoring Systems
Candace Walkington; Mitchell J. Nathan; Jonathan Hunnicutt; Julianna Washington; Monique Zhou – Grantee Submission, 2024
Dynamic geometry software (DGS) has long been studied in mathematics education as a way for students to explore and interact with geometric objects and figures. Recent advances in Augmented Reality (AR) technologies that allow dynamic three-dimensional mathematical objects to appear in students' environment as holograms have changed the nature of…
Descriptors: Computer Software, Geometry, Computer Simulation, Educational Technology
Husni Almoubayyed; Stephen E. Fancsali; Steve Ritter – Grantee Submission, 2023
Adaptive educational software is likely to better support broader and more diverse sets of learners by considering more comprehensive views (or models) of such learners. For example, recent work proposed making inferences about "non-math" factors like reading comprehension while students used adaptive software for mathematics to better…
Descriptors: Reading Ability, Computer Software, Mathematics Education, Intelligent Tutoring Systems
Vincent Aleven; Jori Blankestijn; LuEttaMae Lawrence; Tomohiro Nagashima; Niels Taatgen – Grantee Submission, 2022
Past research has yielded ample knowledge regarding the design of analytics-based tools for teachers and has found beneficial effects of several tools on teaching and learning. Yet there is relatively little knowledge regarding the design of tools that support teachers when a class of students uses AI-based tutoring software for self-paced…
Descriptors: Educational Technology, Artificial Intelligence, Problem Solving, Intelligent Tutoring Systems
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
Julie Sarno Owens; Mary Lee; Kelsey Eackles; Dassiell Medina; Steven W. Evans; Jacob Reid – Grantee Submission, 2022
Technology-based supports offer promise for helping elementary school teachers implement Tier 2 interventions to address challenging student behavior. The Daily Report Card Online (DRCO) platform is a cloud-based web application designed to support teachers' adoption and implementation of a high-quality daily report card (DRC) intervention through…
Descriptors: Intervention, Elementary School Teachers, Educational Technology, Report Cards
Kathryn S. McCarthy; Rod D. Roscoe; Laura K. Allen; Aaron D. Likens; Danielle S. McNamara – Grantee Submission, 2022
The benefits of writing strategy feedback are well established. This study examined the extent to which adding spelling and grammar checkers support writing and revision in comparison to providing writing strategy feedback alone. High school students (n = 119) wrote and revised six persuasive essays in Writing Pal, an automated writing evaluation…
Descriptors: High School Students, Automation, Writing Evaluation, Computer Software
Subramonyam, Hariharan; Seifert, Colleen; Shah, Priti; Adar, Eytan – Grantee Submission, 2020
Learning from text is a "constructive" activity in which sentence-level information is combined by the reader to build coherent mental models. With increasingly complex texts, forming a mental model becomes challenging due to a lack of background knowledge, and limits in working memory and attention. To address this, we are taught…
Descriptors: Visual Aids, Natural Language Processing, Reading Strategies, Educational Technology
Natalie Brezack; Wynnie Chan; Mingyu Feng – Grantee Submission, 2024
This paper explores how learning analytics data provided by a math problem-solving educational technology platform informed 5th and 6th grade teachers' instructional decisions around socioemotional learning (SEL). MathSpring is an educational technology tool that provides teachers with data on students' effort, progress, and emotions while…
Descriptors: Social Emotional Learning, Mathematics Instruction, Teacher Attitudes, Comparative Analysis
Lynette Hazelton; Jessica Nastal; Norbert Elliot; Jill Burstein; Daniel F. McCaffrey – Grantee Submission, 2021
In writing studies research, automated writing evaluation technology is typically examined for a specific, often narrow purpose: to evaluate a particular writing improvement measure, to mine data for changes in writing performance, or to demonstrate the effectiveness of a single technology and accompanying validity arguments. This article adopts a…
Descriptors: Formative Evaluation, Writing Evaluation, Automation, Natural Language Processing
Lippert, Anne; Gatewood, Jessica; Cai, Zhiqiang; Graesser, Arthur C. – Grantee Submission, 2019
One out of six adults in the United States possesses low literacy skills. Many advocates believe that technology can pave the way for these adults to gain the skills that they desire. This article describes an adaptive intelligent tutoring system called AutoTutor that is designed to teach adults comprehension strategies across different levels of…
Descriptors: Intelligent Tutoring Systems, Educational Technology, Adult Literacy, Skill Development
Kenneth Holstein; Gena Hong; Mera Tegene; Bruce M. McLaren; Vincent Aleven – Grantee Submission, 2018
When used in classrooms, personalized learning software allows students to work at their own pace, while freeing up the teacher to spend more time working one-on-one with students. Yet such personalized classrooms also pose unique challenges for teachers, who are tasked with monitoring classes working on divergent activities, and prioritizing…
Descriptors: Middle School Teachers, Mathematics Teachers, Technology Uses in Education, Educational Technology
Steven Moore; John Stamper; Norman Bier; Mary Jean Blink – Grantee Submission, 2020
In this paper we show how we can utilize human-guided machine learning techniques coupled with a learning science practitioner interface (DataShop) to identify potential improvements to existing educational technology. Specifically, we provide an interface for the classification of underlying Knowledge Components (KCs) to better model student…
Descriptors: Learning Analytics, Educational Improvement, Classification, Learning Processes
Judith Uchidiuno; Evelyn Yarzebinski; Emily Keebler; Kenneth Koedinger; Amy Ogan – Grantee Submission, 2019
Tablet-based educational technologies provide a supplement to traditional classroom-based early literacy education, especially in regions with limited schooling resources. Prior work has probed how children generally interact with and learn from these technologies, however, there is limited research on student engagement with applications that…
Descriptors: Foreign Countries, Emergent Literacy, Educational Technology, Technology Uses in Education
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