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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
Dilara Yilmaz-Can; Birgül Damla Baber-Elbistan; Seyma Pekgöz; Ceyda Sensin – Online Submission, 2023
The development of students' mathematical problem-solving skills is contingent upon the approaches and methods employed by primary school teachers. This research endeavors to scrutinize the effectiveness of primary school teachers in their roles within the problem-solving process, with particular attention directed toward their inquiry techniques,…
Descriptors: Mathematics Instruction, Teaching Methods, Problem Solving, Elementary School Teachers
Tohir, Mohammad; Maswar, Maswar; Atikurrahman, Moh.; Saiful, Saiful; Pradita, Diyah Ayu Rizki – European Journal of Educational Research, 2020
This research aims to describe the expectations of prospective teachers for students' mathematical thinking processes in solving problem-based on the Polya model. This model is perceived by the theory of mathematical thought processes proposed by Mason. A descriptive method with a qualitative approach was used in this research. The research…
Descriptors: Preservice Teachers, Mathematical Logic, Problem Solving, Cognitive Processes
Sen, Ceylan; Ay, Zeynep Sonay; Güler, Gürsel – Athens Journal of Education, 2021
This study investigated the effectiveness of inquiry-based learning (IBL) approach in ratio and proportion on the mathematics reasoning skill of seventh-grade students. The study was carried out in a seventh-grade mathematics course in a middle school located in the Central Anatolia region of Turkey during the 2016-2017 academic year. The IBL…
Descriptors: Inquiry, Teaching Methods, Mathematics Instruction, Middle School Students
Cohen, Dale J.; Cromley, Amanda R.; Freda, Katelyn E.; White, Madeline – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2022
Here, we present a strong test of the hypothesis that sacrificial moral dilemmas are solved using the same value-based decision mechanism that operates on decisions concerning economic goods. To test this hypothesis, we developed Psychological Value Theory. Psychological Value Theory is an expansion and generalization of Cohen and Ahn's (2016)…
Descriptors: Hypothesis Testing, Decision Making, Moral Values, Problem Solving
Amirkhan, James H.; Bowers, Graham K.; Logan, Christina – Studies in Higher Education, 2020
Studies of stress and coping effects on college performance have yielded inconsistent results, which might be clarified by stricter adherence to stress theories. Here, university students (n = 1212) were surveyed during their first year, said to be the most stressful. They completed measures of stress overload (the pathogenic state identified by…
Descriptors: College Freshmen, Stress Variables, Student Attitudes, Coping
Nathan, Mitchell J.; Kim, Sunae – Mathematical Thinking and Learning: An International Journal, 2007
Cross-sectional and longitudinal data from students as they advance through the middle school years (grades 6-8) reveal insights into the development of students' pattern generalization abilities. As expected, students show a preference for lower-level tasks such as "reading the data," over more distant predictions and generation of abstractions.…
Descriptors: Curriculum Design, Middle Schools, Graphs, Grade 6
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
Barnes, Tiffany, Ed.; Chi, Min, Ed.; Feng, Mingyu, Ed. – International Educational Data Mining Society, 2016
The 9th International Conference on Educational Data Mining (EDM 2016) is held under the auspices of the International Educational Data Mining Society at the Sheraton Raleigh Hotel, in downtown Raleigh, North Carolina, in the USA. The conference, held June 29-July 2, 2016, follows the eight previous editions (Madrid 2015, London 2014, Memphis…
Descriptors: Data Analysis, Evidence Based Practice, Inquiry, Science Instruction
Cotton, Jown W. – 1974
This investigation compares overt judgments about tenable hypotheses to choices in a concept identification task, as a function of stimulus similarity on successive trials. Two mathematical models are tested: (a) A 1-element local consistency version of Restle's concept identification model and (b) the same model with two additional passive states…
Descriptors: Cognitive Processes, College Students, Concept Formation, Critical Thinking
Polette, Nancy – Teacher Ideas Press, 2007
Many of the most talented authors and artists of the past and present have shared their thoughts and their gifts with young children through picture books. Many picture books allow young children to explore important ideas and to stretch their minds far beyond rote memorization. Young children absorb knowledge at a very rapid pace. In an age of…
Descriptors: Classification, Vocabulary Development, Associative Learning, Reading Skills
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
