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Lee, Hee-Sun; McNamara, Danielle; Bracey, Zoë Buck; Wilson, Christopher; Osborne, Jonathan; Haudek, Kevin C.; Liu, Ou Lydia; Pallant, Amy; Gerard, Libby; Linn, Marcia C.; Sherin, Bruce – Grantee Submission, 2019
Rapid advancements in computing have enabled automatic analyses of written texts created in educational settings. The purpose of this symposium is to survey several applications of computerized text analyses used in the research and development of productive learning environments. Four featured research projects have developed or been working on:…
Descriptors: Computational Linguistics, Written Language, Computer Assisted Testing, Scoring
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McCall, Seth A.; Meier, Ellen; Moeller, Babette – Grantee Submission, 2022
In the effort to improve student outcomes, teachers are usually the focus of professional development efforts. However, research increasingly demonstrates the significance of administrators in influencing student outcomes, raising questions about how they too should be involved in such programs. The study involved interviews conducted with 12…
Descriptors: Administrators, Professional Development, Outcomes of Education, Mathematics Instruction
Farrell, Caitlin C.; Penuel, William R.; Allen, Anna-Ruth; Anderson, Eleanor; Bohannon, Angel X.; Coburn, Cynthia E.; Brown, Stephanie L. – Grantee Submission, 2020
Given the rapid growth of research-practices partnerships (RPPs), we need a framework that helps the field understand how RPPs can facilitate mutual learning for those involved. Drawing on both cultural-historical and organizational learning theories, we argue that learning can happen in RPPs for both researchers and practitioners at the…
Descriptors: Theory Practice Relationship, Researchers, Educational Research, Teachers
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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
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Feng, Mingyu; Roschelle, Jeremy; Heffernan, Neil; Fairman, Janet; Murphy, Robert – Grantee Submission, 2014
Much research has been done on the development of an intelligent tutoring system (ITS), and small empirical studies have demonstrated the effectiveness of ITS at promoting student learning. However, large-scale implementation of ITS in school settings has not been researched thoroughly. In this paper, we describe an ongoing randomized controlled…
Descriptors: Intelligent Tutoring Systems, Homework, Educational Technology, Technology Uses in Education
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Burey, Joseph; Kim, Jasmine; McMaster, Kristen L.; Kendeou, Panayiota – Grantee Submission, 2022
We sought to identify the extent to which an innovative educational technology called ELCII (Early Language Comprehension Individualized Instruction) improved inference making for various populations of kindergarten students. Analyses examined student performance based on individual-level demographic characteristics (i.e., gender, race/ethnicity,…
Descriptors: Educational Technology, Reading Instruction, Individualized Instruction, Kindergarten
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Lee, Hollylynne; Bradshaw, Laine; Famularo, Lisa; Masters, Jessica; Azevedo, Roger; Johnson, Sheri; Schellman, Madeline; Elrod, Emily; Sanei, Hamid – Grantee Submission, 2019
The research shared in this conference paper report illustrates how an iterative process to item development that involves expert review and cognitive lab interviews with students can be used to collect evidence of validity for assessment items. Analysis of students' reasoning was also used to expand a model for identifying conceptions and…
Descriptors: Middle School Students, Interviews, Misconceptions, Test Items
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Fonger, Nicole L.; Stephens, Ana; Blanton, Maria; Knuth, Eric – Grantee Submission, 2015
We detail a learning progressions approach to early algebra research and how existing work around learning progressions and trajectories in mathematics and science education has informed our development of a four-component theoretical framework consisting of: a curricular progression of learning goals across big algebraic ideas; an instructional…
Descriptors: Algebra, Mathematics Instruction, Curriculum, Educational Objectives
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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
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Adair, Amy; Sao Pedro, Michael; Gobert, Janice; Owens, Jessica A. – 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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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
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Nathan, Mitchell J.; Harrison, Avery; Smith, Hannah; Ottmar, Erin; Abrahamson, Dor; Williams-Pierce, Caro – Grantee Submission, 2020
The central aim of the EMIC Working Group is to connect, engage, and inspire colleagues in this growing community of discourse around theoretical, technological, and methodological developments for advancing the study of embodied cognition for mathematics education. This year, our fifth at PME-NA, we also will convene on Day 3 with the WG on…
Descriptors: Mathematics Education, Metacognition, Communities of Practice, Educational Technology
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Stephens, Ana; Fonger, Nicole L.; Blanton, Maria; Knuth, Eric – Grantee Submission, 2016
In this paper, we describe our learning progressions approach to early algebra research that involves the coordination of a curricular framework, an instructional sequence, written assessments, and levels of sophistication describing the development of students' thinking. We focus in particular on what we have learning through this approach about…
Descriptors: Elementary School Students, Elementary School Mathematics, Mathematics Instruction, Learning Processes
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Feng, Tianying; Chung, Gregory K. W. K. – Grantee Submission, 2022
A critical issue in using fine-grained gameplay data to measure learning processes is the development of indicators and the algorithms used to derive such indicators. Successful development--that is, developing traceable, interpretable, and sensitive-to-learning indicators--requires understanding the underlying theory, how the theory is…
Descriptors: Games, Data Collection, Learning Processes, Measurement
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Jordan, Pamela; Albacete, Patricia; Katz, Sandra – Grantee Submission, 2016
Prior research aimed at identifying linguistic features of tutoring that predict learning found interactions between student characteristics (e.g., incoming knowledge level, gender, and affect) and learning. This paper addresses the question: "What do these interactions suggest for developing adaptive natural-language tutoring systems?"…
Descriptors: Intelligent Tutoring Systems, Tutoring, Natural Language Processing, Student Characteristics
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