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Conrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven – Grantee Submission, 2025
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Learner Controlled Instruction, Learning Analytics
Shalini Sahoo; Roberto J. Millar; Takashi Yamashita; Phyllis A. Cummins – Grantee Submission, 2021
Research on factors associated with motivation to learn (MtL) is limited, particularly among middle-aged adults and immigrants. This study examines educational attainment, literacy skills, and nativity (foreign-born vs. native-born) as predictors of MtL in middle-aged adults living in the U.S. Nationally representative data of middle-aged adults…
Descriptors: Educational Attainment, Literacy, Learning Motivation, Lifelong Learning
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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
Angeline S. Lillard – Grantee Submission, 2023
Most American classrooms employ a teacher-text-centered model of instruction that is misaligned with the developmental science of how children naturally learn. This article reviews that science and the origins of the common instructional model, including three modifications intended to make it work better (grades, age-graded classrooms, and…
Descriptors: Educational Change, Astronomy, Teaching Methods, Learning Processes
Abha Basargekar; Angeline S. Lillard – Grantee Submission, 2023
To adults entering a Montessori classroom for the first time, the activities they observe may not seem particularly academic. Depending on the students' ages, children might be found working independently, having spirited discussions in small groups, or working on long-term projects. Inconspicuous teachers observe and take notes or give lessons to…
Descriptors: Self Determination, Montessori Method, Personal Autonomy, Educational Philosophy
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
Zucker, Tricia A.; Cabell, Sonia Q.; Pico, Danielle L. – Grantee Submission, 2021
Developing young children's vocabulary is essential for later reading success; thus, early childhood classrooms require a comprehensive vocabulary approach that teaches academic vocabulary. Yet even providing young children with child-friendly definitions of sophisticated words can be a challenge. First, the authors outline the components of a…
Descriptors: Vocabulary Development, Early Childhood Education, Definitions, Academic Language
Yamashita, Takashi; Smith, Thomas J.; Cummins, Phyllis A. – Grantee Submission, 2020
Background: Several statistical applications including Mplus, STATA, and R are available to conduct analyses such as structural equation modeling and multi-level modeling using large-scale assessment data that employ complex sampling and assessment designs and that provide associated information such as sampling weights, replicate weights, and…
Descriptors: Learning Analytics, Computer Software, Syntax, Adults
Allison Master; Daijiazi Tang; Desiree Forsythe; Taylor M. Alexander; Sapna Cheryan; Andrew N. Meltzoff – Grantee Submission, 2023
Learning coding during early childhood is an effective way for children to practice computational thinking. Aspects of children's motivation can increase the likelihood that children approach computational thinking activities with enthusiasm and deep engagement. Gender inequities may interfere with children's readiness to take advantage of…
Descriptors: Coding, Gender Differences, Equal Education, Computer Science Education
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Sahoo, Shalini; Millar, Roberto J.; Yamashita, Takashi; Cummins, Phyllis A. – Grantee Submission, 2020
This study examined how literacy skills and nativity status (foreign-born vs. U.S. born) are associated with motivation to learn (MtL). Nationally representative data (N = 8,670) of adults between the ages of 18 years old and older years were obtained from the 2012/2014 Program for International Assessment of Adult Competencies (PIAAC). Structural…
Descriptors: Learning Motivation, Adults, Immigrants, Lifelong Learning
Priniski, Stacy J.; Hecht, Cameron A.; Harackiewicz, Judith M. – Grantee Submission, 2018
Personal relevance goes by many names in the motivation literature, stemming from a number of theoretical frameworks. Currently these lines of research are being conducted in parallel with little synthesis across them, perhaps because there is no unifying definition of the relevance construct within which this research can be situated. In this…
Descriptors: Relevance (Education), Models, Student Interests, Expectation
Yamashita, Takashi; Cummins, Phyllis A.; Millar, Roberto J.; Sahoo, Shalini; Smith, Thomas J. – Grantee Submission, 2019
The objective of this study is to examine the associations between the motivation to learn, basic skills (i.e., literacy and numeracy), and organized adult education and training (AET) participation among the middle-aged and older adults in the USA. Rapid technological advancement and globalization necessitate individuals to engage in lifelong…
Descriptors: Learning Motivation, Basic Skills, Literacy, Numeracy
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Jennifer Martinez; Daphne Greenberg; Cynthia Puranik; Jason Braasch; Charles MacArthur; Zoi Philippakos; Christine Miller – Grantee Submission, 2024
Motivational research identifies utility value, or the importance of a learning task to future goals, as central to motivation to learn. This study analyzed survey data (N=86) collected from adult literacy learners to examine their utility value of writing improvement in grammar and spelling skills, word processing skills, and planning, drafting,…
Descriptors: Writing Skills, Writing Improvement, Skill Development, Adult Basic Education
Breaux, Rosanna; Dunn, Nicholas C.; Langberg, Joshua M.; Cusick, Caroline N.; Dvorsky, Melissa R.; Becker, Stephen P. – Grantee Submission, 2022
Objective: Researchers have speculated that the COVID-19 pandemic may expand the academic performance gap experienced by at-risk students. We examined learning experiences during the 2020-2021 school year and the impact the pandemic has had on high school student grade point average (GPA), including predictors of change in GPA from 2019-2020 to…
Descriptors: High School Students, Males, Attention Deficit Hyperactivity Disorder, COVID-19
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Katie Bainbridge; Ginny L. Smith; Valerie J. Shute; Sidney D'Mello – Grantee Submission, 2022
Five types of affective supports were designed to induce an appropriate emotional regulation strategy in players of an educational video game. These supports were based on the emotional regulation strategies of situation selection, situation modification, attentional deployment, cognitive change, and response modulation. A series of qualitative…
Descriptors: Educational Games, Affective Behavior, Self Control, Emotional Response
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