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Oh, Hanna; Beck, Jeffrey M.; Zhu, Pingping; Sommer, Marc A.; Ferrari, Silvia; Egner, Tobias – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
Much of our real-life decision making is bounded by uncertain information, limitations in cognitive resources, and a lack of time to allocate to the decision process. It is thought that humans overcome these limitations through "satisficing," fast but "good-enough" heuristic decision making that prioritizes some sources of…
Descriptors: Decision Making, Cues, Cognitive Processes, Time
Swanson, H. Lee; Olide, Andres F.; Kong, Jennifer E. – Journal of Educational Psychology, 2018
This study investigated whether a latent class of children with math difficulties (MD) or math learning disabilities (MLD) emerged within a heterogeneous sample of learners. A latent class analysis was computed on children (N = 447) in Grade 3 who were administered a battery of math, reading, and cognitive measures. The analysis yielded four…
Descriptors: Multivariate Analysis, Learning Disabilities, Short Term Memory, Low Achievement
Hassani, Mehdi; Kippen, Rebecca; Mills, Terence – Australian Senior Mathematics Journal, 2016
Life tables are mathematical tables that document probabilities of dying and life expectancies at different ages in a society. Thus, the life table contains some essential features of the health of a population. Probability is often regarded as a difficult branch of mathematics. Life tables provide an interesting approach to introducing concepts…
Descriptors: Probability, Mathematical Concepts, Death, Mortality Rate
Saenen, Lore; Heyvaert, Mieke; Van Dooren, Wim; Onghena, Patrick – ZDM: The International Journal on Mathematics Education, 2015
The Monty Hall dilemma (MHD) is a counterintuitive probability problem in which participants often use misleading heuristics, such as the equiprobability bias. Finding the optimal solution to the MHD requires inhibition of these heuristics. In the current study, we investigated the relation between participants' equiprobability bias and their MHD…
Descriptors: Probability, Inhibition, Heuristics, Correlation
Rash, Agnes M.; Fillebrown, Sandra – PRIMUS, 2016
This article describes various courses designed to incorporate mathematical proofs into courses for non-math and non-science majors. These courses, nicknamed "math beauty" courses, are designed to discuss one topic in-depth rather than to introduce many topics at a superficial level. A variety of courses, each requiring students to…
Descriptors: Mathematics Curriculum, General Education, Mathematics Instruction, Mathematics Education
Secondary School Students' Reasoning about Conditional Probability, Samples, and Sampling Procedures
Prodromou, Theodosia – Statistics Education Research Journal, 2016
In the Australian mathematics curriculum, Year 12 students (aged 16-17) are asked to solve conditional probability problems that involve the representation of the problem situation with two-way tables or three-dimensional diagrams and consider sampling procedures that result in different correct answers. In a small exploratory study, we…
Descriptors: Secondary School Students, Thinking Skills, Probability, Sampling
Chong, Jessie Siew Yin; Chong, Maureen Siew Fang; Shahrill, Masitah; Abdullah, Nor Azura – Journal on Mathematics Education, 2017
This study examined how Year 12 students use their inquiry skills in solving conditional probability questions by means of Inquiry-Based Learning application. The participants consisted of 66 students of similar academic abilities in Mathematics, selected from three classes, along with their respective teachers. Observational rubric and lesson…
Descriptors: Probability, Inquiry, Problem Solving, Teaching Methods
Huybers, Twan – Assessment & Evaluation in Higher Education, 2017
Students are an important stakeholder group in the context of quality assurance in higher education. From their perspective as learners, students' views on educational experiences are increasingly used as an indicator of educational quality. The Course Experience Questionnaire (CEQ) is a widely used quantitative tool to gauge students' perceptions…
Descriptors: Questionnaires, Higher Education, Program Effectiveness, College Graduates
Simonton, Dean Keith – Creativity Research Journal, 2015
Arthur Cropley (2006) emphasized the critical place that convergent thinking has in creativity. Although he briefly refers to the blind variation and selective retention (BVSR) theory of creativity, his discussion could not reflect the most recent theoretical and empirical developments in BVSR, especially the resulting combinatorial models.…
Descriptors: Creativity, Convergent Thinking, Creative Thinking, Discovery Processes
Lee, Young-Jin – International Journal of Information and Learning Technology, 2017
Purpose: The purpose of this paper is to develop a quantitative model of problem solving performance of students in the computer-based mathematics learning environment. Design/methodology/approach: Regularized logistic regression was used to create a quantitative model of problem solving performance of students that predicts whether students can…
Descriptors: Problem Solving, Educational Environment, Mathematics Instruction, Computer Assisted Instruction
Hooshyar, Danial; Ahmad, Rodina Binti; Yousefi, Moslem; Fathi, Moein; Horng, Shi-Jinn; Lim, Heuiseok – Innovations in Education and Teaching International, 2018
In learning systems and environment research, intelligent tutoring and personalisation are considered the two most important factors. An Intelligent Tutoring System can serve as an effective tool to improve problem-solving skills by simulating a human tutor's actions in implementing one-to-one adaptive and personalised teaching. Thus, in this…
Descriptors: Intelligent Tutoring Systems, Problem Solving, Skill Development, Programming
Chow, Alan F.; Van Haneghan, James P. – Educational Studies in Mathematics, 2016
This study reports the results of a study examining how easily students are able to transfer frequency solutions to conditional probability problems to novel situations. University students studied either a problem solved using the traditional Bayes formula format or using a natural frequency (tree diagram) format. In addition, the example problem…
Descriptors: Probability, College Students, Mathematical Formulas, Bayesian Statistics
Budgett, Stephanie; Pfannkuch, Maxine – Teaching and Learning Research Initiative, 2016
This report summarises the research activities and findings from the TLRI-funded project entitled "Visualising Chance: Learning Probability Through Modelling." This exploratory study was a 2-year collaboration among two researchers, two conceptual software developers/interactive graphics experts, three university lecturers/practitioners,…
Descriptors: Statistics, Probability, Mathematical Models, Computer Software
Mohr, Doris, Ed.; Walcott, Crystal, Ed.; Kloosterman, Peter, Ed. – National Council of Teachers of Mathematics, 2019
"Mathematical Thinking: From Assessment Items to Challenging Tasks" is a compilation of 36 problem-based lessons that encourage students to engage in productive struggle and deep thinking. Its 36 full-length lessons for grades 2-8 are each inspired by an actual test item from the National Assessment of Educational Progress (NAEP).…
Descriptors: Problem Based Learning, Test Items, Elementary School Mathematics, Middle School Mathematics
Lane, Marguerita; Conlon, Gavan – OECD Publishing, 2016
Using the 2012 PIAAC data, our analysis confirms that there are significantly higher earnings and employment returns to "both" increasing levels of formally recognised education, and to increasing levels of numeracy, literacy and information and communication technologies (ICT) skills proficiencies controlling for the level of education.…
Descriptors: Literacy, Numeracy, Computer Literacy, Employment