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Direct linkTamara Broderick; Andrew Gelman; Rachael Meager; Anna L. Smith; Tian Zheng – Grantee Submission, 2022
Probabilistic machine learning increasingly informs critical decisions in medicine, economics, politics, and beyond. To aid the development of trust in these decisions, we develop a taxonomy delineating where trust in an analysis can break down: (1) in the translation of real-world goals to goals on a particular set of training data, (2) in the…
Descriptors: Taxonomy, Trust (Psychology), Algorithms, Probability
Katherine Tilley – Grantee Submission, 2022
The purpose of this study is to investigate the nature of the relationship between problem-framing and reported engagement with external research evidence in school-based decision-making. This study serves as an important first attempt to explore and describe this potential relationship and its implications for the use of research in schools.…
Descriptors: Problem Solving, Research Utilization, Decision Making, Elementary School Teachers
Marta K. Mielicki; Charles J. Fitzsimmons; Lauren K. Schiller; Dan Scheibe; Jennifer M. Taber; Pooja G. Sidney; Percival G. Matthews; Erika A. Waters; Karin G. Coifman; Clarissa A. Thompson – Grantee Submission, 2022
Visual displays, such as icon arrays and risk ladders, are often used to communicate numerical health information. Number lines improve reasoning with rational numbers but are seldom used in health contexts. College students solved ratio problems related to COVID-19 (e.g., number of deaths and number of cases) in one of four randomly-assigned…
Descriptors: Visual Aids, Health, Decision Making, Number Concepts
Choe, Kyoung Whan; Jenifer, Jalisha B.; Rozek, Christopher S.; Berman, Marc G.; Beilock, Sian L. – Grantee Submission, 2019
Math anxiety -- negative feelings towards math -- is hypothesized to be associated with the avoidance of math-related activities such as taking math courses and pursuing STEM careers. Surprisingly, however, there is little experimental evidence for the math anxiety- avoidance link. Such evidence is important for formulating how to break this…
Descriptors: Mathematics Anxiety, Predictor Variables, Decision Making, Individual Differences
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
Choe, Kyoung Whan; Jenifer, Jalisha B.; Rozek, Christopher S.; Berman, Marc G.; Beilock, Sian L. – Grantee Submission, 2019
Math anxiety--negative feelings toward math--is hypothesized to be associated with the avoidance of math-related activities such as taking math courses and pursuing STEM careers. However, there is little experimental evidence for the math anxiety-avoidance link. Such evidence is important for formulating how to break this relationship. We…
Descriptors: Mathematics Anxiety, Decision Making, Problem Solving, Difficulty Level
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
