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Kole Norberg; Husni Almoubayyed; Stephen E. Fancsali; Logan De Ley; Kyle Weldon; April Murphy; Steve Ritter – Grantee Submission, 2023
Large Language Models have recently achieved high performance on many writing tasks. In a recent study, math word problems in Carnegie Learning's MATHia adaptive learning software were rewritten by human authors to improve their clarity and specificity. The randomized experiment found that emerging readers who received the rewritten word problems…
Descriptors: Word Problems (Mathematics), Mathematics Instruction, Artificial Intelligence, Intelligent Tutoring Systems
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Yasemin Copur-Gencturk; Jingxian Li; Allan S. Cohen; Chandra Hawley Orrill – Grantee Submission, 2024
Scholars and practitioners have called for personalized and widely accessible professional development (PD) for teachers. Yet, a long-standing tension between customizing support and increasing access to such support has hindered the scale-up of high-quality PD for individual teachers. This study addresses this challenge by developing a…
Descriptors: Professional Development, Electronic Learning, Individualized Instruction, Program Effectiveness
Douglas H. Clements; Julie Sarama; Arthur J. Baroody; Traci S. Kutaka; Pavel Chernyavskiy; Candace Joswick; Menglong Cong; Ellen Joseph – Grantee Submission, 2021
Although basing instruction on a learning trajectory (LT) is often recommended, there is little evidence regarding the premise of a LT approach--that to be maximally meaningful, engaging, and effective, instruction is best presented one LT level beyond a child's present level of thinking. This hypothesis was evaluated for an empirically-validated…
Descriptors: Arithmetic, Mathematics Instruction, Educational Objectives, Thinking Skills
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Cindy Peng; Conrad Borchers; Vincent Aleven – Grantee Submission, 2024
Prior studies identified effective, but mainly non-digital, homework aids. This research involved 18 middle school students in a lo-fi prototyping study to integrate traditional homework support tools with intelligent tutoring systems (ITS), leveraging rich log data for personalized learning. Feature investigations in standardized diaries, goal…
Descriptors: Middle School Students, Intelligent Tutoring Systems, Homework, Design
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Duy M. Pham; Kirk P. Vanacore; Adam C. Sales; Johann A. Gagnon-Bartsch – Grantee Submission, 2024
Effective personalization of education requires knowing how each student will perform under certain conditions, given their specific characteristics. Thus, the demand for interpretable and precise estimation of heterogeneous treatment effects is ever-present. This paper outlines a new approach to this problem based on the Leave-One-Out Potential…
Descriptors: Middle School Students, Middle School Teachers, Middle School Mathematics, Algebra
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Gregory T. Boldt; Elizabeth J. Canavan; Rachael A. Cody; E. Jean Gubbins – Grantee Submission, 2023
Because creativity is an essential 21st century skill that must be developed in gifted and talented student populations, it is important for gifted and talented programs to nurture mathematical creativity. To shed light on this topic, this article explores three questions: What is mathematical creativity? How can we develop students' mathematical…
Descriptors: Academically Gifted, Gifted Education, Talent Development, Skill Development
Meghan P. McCormick; Mirjana Pralica; Christina Weiland; JoAnn Hsueh; Lillie Moffett; Paola Guerrero-Rosada; Amanda Weissman; Kehui Zhang; Michelle F. Maier; Catherine E. Snow; Emily Davies; Anne Taylor; Jason Sachs – Grantee Submission, 2022
The sustaining environments hypothesis theorizes that the lasting effects of PreK programs are contingent on the quality of the subsequent learning environment in early elementary school. The current study tests this theory by leveraging data from students (N = 462) who did and did not enroll in the Boston Public Schools (BPS) prekindergarten…
Descriptors: Kindergarten, Preschool Education, Outcomes of Education, Sustainability
Prihar, Ethan; Patikorn, Thanaporn; Botelho, Anthony; Sales, Adam; Heffernan, Neil T. – Grantee Submission, 2021
As more educators integrate their curricula with online learning, it is easier to crowdsource content from them. Crowdsourced tutoring has been proven to reliably increase students' next problem correctness. In this work, we confirmed the findings of a previous study in this area, with stronger confidence margins than previously, and revealed that…
Descriptors: Electronic Publishing, Group Experience, Tutoring, Individualized Instruction
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Esther R. Lindström; Emma Fisher; Megan Cook; Mariangela Perrella; Kimberly A. McFadden; Rui Chen; Mohammad Bahadori Fallah – Grantee Submission, 2023
This observation study documents the amount and quality of mathematics instruction provided to students with intellectual and developmental disabilities in kindergarten through second grade in self-contained special education settings. We observed six special education teachers and their students (N = 12) during a total of 967 min allotted to…
Descriptors: Mathematics Instruction, Teaching Methods, Students with Disabilities, Elementary School Students
Sarah R. Powell; Katherine A. Berry; Anasazi N. Acunto; Anna-Maria Fall; Greg Roberts – Grantee Submission, 2022
The purpose of this pilot study was to determine whether positive results from a word-problem intervention implemented one-to-one contributed to similar outcomes when implemented in small groups of three to four students. Third-grade students experiencing mathematics difficulty (n = 76) were randomly assigned to word-problem intervention (n = 56)…
Descriptors: Word Problems (Mathematics), Mathematics Instruction, Small Group Instruction, Intervention
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Moeller, Babette; Duncan, Teresa; Schoeneberger, Jason; Hitchcock, John – Grantee Submission, 2022
As part of a federally funded grant, we conducted Math for All professional development workshops at elementary schools in the Midwest to support teachers' implementation of high-quality, standards-based mathematics education for a wide range of students, including those with disabilities. Our research included week-long instructional logs…
Descriptors: Elementary School Teachers, Mathematics Instruction, Teacher Attitudes, COVID-19
Powell, Sarah R.; Fuchs, Lynn S. – Grantee Submission, 2015
Students who demonstrate persistent mathematics difficulties and whose performance is severely below grade level require "intensive intervention". Intensive intervention is an individualized approach to instruction that is more demanding and concentrated than Tier 2 intervention efforts. We present the elements of intensive intervention…
Descriptors: Mathematics Instruction, Learning Problems, Intervention, Teaching Methods
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Babette Moeller; Teresa Duncan; Jason Schoeneberger; John Hitchcock; Matthew McLeod – Grantee Submission, 2022
Teacher quality, along with the school context, classroom practice, and student mathematics achievement, are the key components in Clarke and Hollingsworth's (2002) model that depicts teachers' professional growth as an ongoing, dynamic, and interactive enterprise. Comfort and preparedness are dispositions that, along with teacher knowledge, are…
Descriptors: Equal Education, Access to Education, Mathematics Instruction, Faculty Development
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Shanley, Lina; Strand Cary, Mari; Turtura, Jessica; Clarke, Ben; Sutherland, Marah; Pilger, Marissa – Grantee Submission, 2019
Students who demonstrate mathematics difficulties in the early grades are at risk for poor educational outcomes. Fortunately, strategic early mathematics intervention programs can improve academic outcomes for students with mathematics difficulties, and instructional technology has demonstrated promise in delivering targeted and individualized…
Descriptors: Mathematics Instruction, Learning Problems, Teaching Methods, At Risk Students
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Fuchs, Lynn S.; Fuchs, Douglas; Malone, Amelia S. – Grantee Submission, 2016
The purpose of this article is to describe the Taxonomy of Intervention Intensity, which articulates 7 dimensions for evaluating and building intervention intensity. We explain the Taxonomy's dimensions of intensity. In explaining the Taxonomy, we rely on a case study to illustrate how the Taxonomy can systematize the process by which special…
Descriptors: Taxonomy, Intervention, Special Education, Response to Intervention
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