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Lee, Ji-Eun; Hornburg, Caroline Byrd; Chan, Jenny Yun-Chen; Ottmar, Erin – Grantee Submission, 2022
This study investigated the effects of (1) proximal grouping of numbers; (2) problem-solving goals to make 100; and (3) prior knowledge on students' initial solution strategies in an interactive online mathematics game. In this game, students transformed an initial expression into a perceptually different but mathematically equivalent goal state.…
Descriptors: Problem Solving, Electronic Learning, Mathematics Activities, Game Based Learning
Anjali Adukia; Callista Christ; Anjali Das; Ayush Raj – Grantee Submission, 2022
The way that people of different identities are portrayed in children's books can send subconscious messages about how positively or negatively children should think about people with those identities. These messages can then shape the next generation's perceptions and attitudes about people, which can have important implications for belief…
Descriptors: Childrens Literature, Books, Race, Gender Bias
Fallon, Lindsay M.; Cathcart, Sadie C.; Johnson, Austin H. – Grantee Submission, 2021
The "Assessment of Culturally and Contextually Relevant Supports" (ACCReS) was developed in response to the need for well-constructed instruments to measure teachers' cultural responsiveness and guide decision-making related to professional development needs. The current study sought to evaluate the presence of differential item…
Descriptors: Test Bias, Self Evaluation (Individuals), Culturally Relevant Education, Measures (Individuals)
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McNamara, Danielle S.; Arner, Tracy; Reilley, Elizabeth; Alvarado, Paul; Clark, Chani; Fikes, Thomas; Hale, Annie; Weigele, Betheny – Grantee Submission, 2022
Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…
Descriptors: Electronic Learning, Educational Technology, Networks, Learning Analytics
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Taber, Jennifer M.; Updegraff, John A.; Sidney, Pooja G.; O'Brien, Abigail G.; Thompson, Clarissa A. – Grantee Submission, 2023
Objective: In May 2021, U.S. states began implementing "vaccination lotteries" encouraging COVID-19 vaccination. Drawing from Prospect Theory and math cognition research, we tested several monetary lottery structures and their framing to determine which would best motivate unvaccinated adults. Method: In two online experiments, U.S.…
Descriptors: Immunization Programs, COVID-19, Pandemics, Intention
Clarissa A. Thompson; Pooja G. Sidney; Charles J. Fitzsimmons; Marta Mielicki; Lauren Schiller; Daniel A. Scheibe; John E. Opfer; Robert S. Siegler – Grantee Submission, 2022
In the target article, Xing and colleagues (2021) claimed that 6- to 8-year-olds who spontaneously referenced the midpoint of 0-100 number lines made more accurate magnitude estimates and scored higher on a standardized math achievement test than other children. Unlike previous studies, however, the authors found no relation between accuracy on…
Descriptors: Mathematics Skills, Young Children, Number Concepts, Accuracy
Bradshaw, Catherine P.; Johnson, Sarah Lindstrom; Zhu, Yifan; Pas, Elise T. – Grantee Submission, 2020
Positive Behavioral Interventions and Supports (PBIS) has been shown to be a promising approach for improving a range of behavioral health and academic outcomes for youth. This study leveraged data from the scale-up of PBIS and a randomized controlled trial, both conducted in Maryland, to estimate the dollars saved per 100 students as a result of…
Descriptors: Positive Behavior Supports, Educational Benefits, Cost Effectiveness, Student Improvement