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Feng Chen; Douglas N. Harris; Mary Penn – Grantee Submission, 2024
Research on charter schools tends to focus on direct and immediate effects on student outcomes. However, there may be unintended indirect effects on, for example, the teacher labor market. Charter schools tend to hire teachers with fewer traditional teaching credentials, which may reduce the equilibrium quantity of teachers who have traditional…
Descriptors: Teacher Supply and Demand, Charter Schools, Teacher Education Programs, Universities
Eglington, Luke G.; Pavlik, Philip I., Jr. – Grantee Submission, 2022
An important component of many Adaptive Instructional Systems (AIS) is a 'Learner Model' intended to track student learning and predict future performance. Predictions from learner models are frequently used in combination with mastery criterion decision rules to make pedagogical decisions. Important aspects of learner models, such as learning…
Descriptors: Computer Assisted Instruction, Intelligent Tutoring Systems, Learning Processes, Individual Differences
Patience Stevens; David Plaut – Grantee Submission, 2020
The statistical structure of a given language likely drives our sensitivity to words' morphological structure. The current work begins to investigate to what degree morphological processing effects observed in visual word recognition can be attributed to statistical regularities between orthography and semantics in English, without any prior…
Descriptors: Reading Processes, Word Recognition, Semantics, Written Language
Marilena Panaite; Mihai Dascalu; Amy Johnson; Renu Balyan; Jianmin Dai; Danielle S. McNamara; Stefan Trausan-Matu – Grantee Submission, 2018
Intelligent Tutoring Systems (ITSs) are aimed at promoting acquisition of knowledge and skills by providing relevant and appropriate feedback during students' practice activities. ITSs for literacy instruction commonly assess typed responses using Natural Language Processing (NLP) algorithms. One step in this direction often requires building a…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Algorithms, Decision Making
Elizabeth Talbott; Andres De Los Reyes – Grantee Submission, 2022
Data from multiple school sources, including informant ratings, systematic direct observations (SDOs), and school wide data (e.g., office disciplinary referrals [ODRs]) are routinely used to guide decision making in the delivery of evidence based practices for students with externalizing and internalizing behavior problems. Over 50 years of…
Descriptors: Case Studies, Decision Making, Guidelines, Referral
Jing Lu; Chun Wang; Ningzhong Shi – Grantee Submission, 2023
In high-stakes, large-scale, standardized tests with certain time limits, examinees are likely to engage in either one of the three types of behavior (e.g., van der Linden & Guo, 2008; Wang & Xu, 2015): solution behavior, rapid guessing behavior, and cheating behavior. Oftentimes examinees do not always solve all items due to various…
Descriptors: High Stakes Tests, Standardized Tests, Guessing (Tests), Cheating
Botarleanu, Robert-Mihai; Dascalu, Mihai; Watanabe, Micah; Crossley, Scott Andrew; McNamara, Danielle S. – Grantee Submission, 2022
Age of acquisition (AoA) is a measure of word complexity which refers to the age at which a word is typically learned. AoA measures have shown strong correlations with reading comprehension, lexical decision times, and writing quality. AoA scores based on both adult and child data have limitations that allow for error in measurement, and increase…
Descriptors: Age Differences, Vocabulary Development, Correlation, Reading Comprehension
Kevin S. Sutherland; Eleanor G. Wu; Melissa Washington-Nortey; Kimberly W. McKnight; Bryce D. McLeod; Maureen A. Conroy – Grantee Submission, 2022
Home-school partnerships between teachers and caregivers of students with or at risk of emotional/behavioral disorders (EBD) are critical to support positive student outcomes. Yet, effective home-school partnerships may be particularly challenging to foster for students with or at risk of EBD, and little is known about how teachers and caregivers…
Descriptors: Parent Attitudes, Teacher Attitudes, Intervention, Pandemics
Alibali, Martha W.; Brown, Sarah A.; Menendez, David – Grantee Submission, 2019
Learning, development, and response to instruction often involve changes in the strategies that learners use to solve problems. In this chapter, our focus is on mathematical problem solving in both children and adults. We offer a selective review of research on three classes of factors that may influence processes of strategy change in…
Descriptors: Learning Strategies, Problem Solving, Mathematics Skills, Mathematics Instruction
McKoon, Gai; Ratcliff, Roger – Grantee Submission, 2016
Millions of adults in the United States lack the necessary literacy skills for most living wage jobs. For students from adult learning classes, we used a lexical decision task to measure their knowledge of words and we used a decision-making model (Ratcliff's, 1978, diffusion model) to abstract the mechanisms underlying their performance from…
Descriptors: Reading Skills, Psycholinguistics, Memory, Decision Making
Frey, Andy J.; Lee, Jon; Small, Jason W.; Seeley, John R.; Walker, Hill M.; Feil, Edward G. – Grantee Submission, 2013
The majority of Tier 2 interventions are facilitated by specialized instructional support personnel, such as a school psychologists, school social workers, school counselors, or behavior consultants. Many professionals struggle to involve parents and teachers in Tier 2 behavior interventions. However, attention to the motivational issues for…
Descriptors: Student Motivation, Intervention, Teaching Methods, Social Work