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Susiswo; Puguh Darmawan; Wasilatul Murtafiah; Sharifah Osman – Journal on Mathematics Education, 2024
This research aims to determine the thinking activity types dominated by a mental process in producing answers characterized by automatic, unconscious, and subjective-empirical processes (system 1) in solving problems so that the default-interventionist interaction occurs. This research novelty is the formulation of the contents and thinking…
Descriptors: Problem Solving, Cognitive Processes, Mathematics Education, Probability
Ekol, George; Mlotshwa, Simphiwe – Pythagoras, 2022
This case study carried out during the 2020 coronavirus disease of 2019 (COVID-19) lockdown used online data collection means to investigate the distribution of cognitive demand levels of probability and counting principles (PCP) learning tasks in a popular online Grade 12 mathematics textbook, based on the PCP teachers' rating. The teachers'…
Descriptors: Cognitive Processes, Difficulty Level, Probability, Computation
Kuzniak, Alain; Nechache, Assia; Drouhard, J. P. – ZDM: The International Journal on Mathematics Education, 2016
According to our approach to mathematics education, the optimal aim of the teaching of mathematics is to assist students in achieving efficient mathematical work. But, what does efficient exactly mean in that case? And how can teachers reach this objective? The model of Mathematical Working Spaces with its three dimensions--semiotic, instrumental,…
Descriptors: Mathematics Education, Teaching Methods, Grade 9, Grade 10
Vogel, Stephan E.; Keller, Carmen; Koschutnig, Karl; Reishofer, Gernot; Ebner, Franz; Dohle, Simone; Siegrist, Michael; Grabner, Roland H. – ZDM: The International Journal on Mathematics Education, 2016
The ability to use numerical information in different contexts is a major goal of mathematics education. In health risk communication, outcomes of a medical condition are frequently expressed in probabilities. Difficulties to accurately represent probability information can result in unfavourable medical decisions. To support individuals with…
Descriptors: Mathematics Education, Probability, Numeracy, Mathematics Skills
van der Ven, Sanne H. G.; Boom, Jan; Kroesbergen, Evelyn H.; Leseman, Paul P. M. – Journal of Experimental Child Psychology, 2012
Variability in strategy selection is an important characteristic of learning new skills such as mathematical skills. Strategies gradually come and go during this development. In 1996, Siegler described this phenomenon as ''overlapping waves.'' In the current microgenetic study, we attempted to model these overlapping waves statistically. In…
Descriptors: Short Term Memory, Probability, Learning Strategies, Investigations
Wood, Marcy B., Ed.; Turner, Erin E., Ed.; Civil, Marta, Ed.; Eli, Jennifer A., Ed. – North American Chapter of the International Group for the Psychology of Mathematics Education, 2016
The theme of this year's conference is "Sin Fronteras: Questioning Borders with(in) Mathematics Education." This theme is intended to encourage research presentations, discussion, and reflection on the variety of borders within mathematics education, as well as those that might be probed, challenged, explained, enhanced and/or…
Descriptors: Mathematics Education, Mathematics Curriculum, Numbers, Mathematical Concepts
Colon-Rosa, Hector Wm. – ProQuest LLC, 2012
Considering the range of changes in the instruction and learning of statistics, several questions emerge regarding how those changes influence students' attitudes. Equally, other questions emerge to reflect that statistics is a fundamental course in the university academic programs because of its relevance to the professional development of the…
Descriptors: Undergraduate Students, Student Attitudes, Statistics, Introductory Courses
Cai, Jinfa, Ed. – National Council of Teachers of Mathematics, 2017
This volume, a comprehensive survey and critical analysis of today's issues in mathematics education, distills research to build knowledge and capacity in the field. The compendium is a valuable new resource that provides the most comprehensive evidence about what is known about research in mathematics education. The 38 chapters present five…
Descriptors: Mathematics Education, Educational Research, Educational Trends, Trend Analysis
Morsanyi, Kinga; Primi, Caterina; Chiesi, Francesca; Handley, Simon – Contemporary Educational Psychology, 2009
In three studies we looked at two typical misconceptions of probability: the representativeness heuristic, and the equiprobability bias. The literature on statistics education predicts that some typical errors and biases (e.g., the equiprobability bias) increase with education, whereas others decrease. This is in contrast with reasoning theorists'…
Descriptors: Heuristics, Logical Thinking, Psychology, Statistics

Greer, Brian – Educational Studies in Mathematics, 2001
Honors the contribution of Efraim Fischbein to the study and analysis of probabilistic thinking. Summarizes Fischbein's early work, then focuses on the role of intuition in mathematical and scientific thinking; the development of probabilistic thinking; and the influence of instruction on that development. (Author/MM)
Descriptors: Cognitive Processes, Elementary Secondary Education, Mathematics Education, Probability

Romberg, Thomas A.; Shepler, Jack – Journal for Research in Mathematics Education, 1973
Tests were given after instruction in probability and four weeks later to 25 sixth graders. Correlation between achievement scores for each student was .78. Retention ratios for individuals, total tests, each objective, and each item indicated high initial performance may contribute to high retention. (Author/DT)
Descriptors: Cognitive Processes, Elementary School Mathematics, Instruction, Learning

Polaki, Mokaeane V. – Mathematical Thinking and Learning, 2002
Reports on a study entailing the design, implementation, and evaluation of two versions of a teaching experiment that traced students' growth in probabilistic thinking. Students in the first version focused on analyses of small sample experimental data and sample space composition. Students in the second version made connections between…
Descriptors: Cognitive Processes, Computer Uses in Education, Concept Formation, Data Analysis

Hope, Jack A.; Kelly, Ivan W. – Mathematics Teacher, 1983
Several common errors reflecting difficulties in probabilistic reasoning are identified, relating to ambiguity, previous outcomes, sampling, unusual events, and estimating. Knowledge of these mistakes and interpretations may help mathematics teachers understand the thought processes of their students. (MNS)
Descriptors: Cognitive Processes, Error Patterns, Learning Processes, Logical Thinking
Geeslin, William E. – 1974
Digraphs, graphs, and task analysis were used to map out the content structure of a programed text (SMSG) in elementary probability. Mathematical structure was defined as the relationship between concepts within a set of abstract systems. The word association technique was used to measure the existing relations (cognitive structure) in S's memory…
Descriptors: Cognitive Development, Cognitive Processes, Learning, Learning Processes

Singer, Janice Ann; Resnick, Lauren B. – Educational Studies in Mathematics, 1992
Describes a study to determine middle school children's representational strategies to form part-whole or part-part relationships for relational numbers such as proportions, ratios, or fractions. Quantitative and qualitative analysis revealed that children prefer a part-part representation to solve relational quantity problems. (15 references)…
Descriptors: Cognitive Processes, Learning Strategies, Mathematical Concepts, Mathematics Education