Publication Date
In 2025 | 1 |
Since 2024 | 1 |
Since 2021 (last 5 years) | 6 |
Since 2016 (last 10 years) | 19 |
Since 2006 (last 20 years) | 28 |
Descriptor
Source
Author
Thacker, Ian | 3 |
Alibali, Martha W. | 2 |
Bartel, Anna N. | 2 |
Crooks, Noelle M. | 2 |
Baki, Adnan | 1 |
Barnes, Tiffany, Ed. | 1 |
Beswick, Kim, Ed. | 1 |
Bickelhaupt, F. Matthias | 1 |
Boyadzhiev, Irina | 1 |
Brewer, William F. | 1 |
Budgen, Fiona | 1 |
More ▼ |
Publication Type
Education Level
Audience
Location
Australia | 2 |
Turkey | 2 |
Brazil | 1 |
California | 1 |
China | 1 |
Estonia | 1 |
Illinois | 1 |
Indonesia | 1 |
Israel | 1 |
New Zealand | 1 |
Norway | 1 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Zolt, Holly; Wrightsman, Elizabeth; Ford, Lucinda; Patterson, Cody L. – PRIMUS, 2023
We discuss student conceptions of improper integrals and infinity in the context of a second-semester calculus course (in a three-course sequence). Our observations stem from a sequence of activities used in an online course over a three-day period. Throughout the enactment of these activities, students are challenged to develop conceptions of…
Descriptors: Mathematical Concepts, Mathematics Education, Calculus, Online Courses
Thompson, Clarissa A.; Fitzsimmons, Charles J.; Scheibe, Daniel A. – Grantee Submission, 2021
Is there an optimal grading scheme? Do psychology instructors prefer one grading scheme over another? These questions were recently posted on the Society for the Teaching of Psychology Facebook page. After reading the responses, we realized that research in the domain of math cognition might help to shed light on an optimal grading scheme and put…
Descriptors: Grading, Grades (Scholastic), Mathematics Skills, Computation
Lee, Hea-Jin; Boyadzhiev, Irina – International Electronic Journal of Mathematics Education, 2020
This study investigated understanding of and misconceptions with fractions in college students enrolled in a remedial mathematics course. Data were collected from 22 college students for one semester. The analysis of 41 fraction problems revealed that participants' common misconceptions were associated with a lack of understanding of basic…
Descriptors: College Students, College Mathematics, Mathematics Skills, Misconceptions
Thacker, Ian – North American Chapter of the International Group for the Psychology of Mathematics Education, 2022
Prompting people to estimate climate change numbers before showing them the true value can shift learners' attitudes and conceptions. Yet, interventions created for such a learning experience are not easily accessible to the general public. The purpose of this preregistered study was to address this research gap by developing and testing an openly…
Descriptors: Climate, Computation, Numbers, Intervention
Thacker, Ian; Sinatra, Gale M. – Journal of Educational Psychology, 2022
Texts presenting novel numerical data can shift learners' attitudes and conceptions about controversial science topics. However, little is known about the mechanisms underlying this conceptual change. The purpose of this study was to investigate two potential mechanisms that underlie learning from novel data: numerical estimation skills and…
Descriptors: Climate, Attitude Change, Student Attitudes, Computation
Powell, Sarah R.; Nelson, Gena – Psychology in the Schools, 2021
To understand misconceptions with rational numbers (i.e., fractions, decimals, and percentages), we administered an assessment of rational numbers to 331 undergraduate students from a 4-year university. The assessment included 41 items categorized as measuring foundational understanding, calculations, or word problems. We coded each student's…
Descriptors: Undergraduate Students, Misconceptions, Number Concepts, Numbers
Ian Thacker; Hannah French; Shon Feder – International Journal of Science Education, 2025
Presenting novel numbers about climate change to people after they estimate those numbers can shift their attitudes and scientific conceptions. Prior research suggests that such science learning can be supported by encouraging learners to make use of given benchmark information, however there are several other numerical estimation skills that may…
Descriptors: Climate, Computation, College Students, Hispanic American Students
Crooks, Noelle M.; Bartel, Anna N.; Alibali, Martha W. – Statistics Education Research Journal, 2019
In recent years, there have been calls for researchers to report and interpret confidence intervals (CIs) rather than relying solely on p-values. Such reforms, however, may be hindered by a general lack of understanding of CIs and how to interpret them. In this study, we assessed conceptual knowledge of CIs in undergraduate and graduate psychology…
Descriptors: Undergraduate Students, Graduate Students, Psychology, Statistics
Crooks, Noelle M.; Bartel, Anna N.; Alibali, Martha W. – Grantee Submission, 2019
In recent years, there have been calls for researchers to report and interpret confidence intervals (CIs) rather than relying solely on p-values. Such reforms, however, may be hindered by a general lack of understanding of CIs and how to interpret them. In this study, we assessed conceptual knowledge of CIs in undergraduate and graduate psychology…
Descriptors: Undergraduate Students, Graduate Students, Psychology, Statistics
Thacker, Ian – North American Chapter of the International Group for the Psychology of Mathematics Education, 2020
Texts presenting novel statistics can shift learners attitudes and conceptions about controversial science topics. However, not a lot is known about the mechanisms underlying this conceptual change. The purpose of this study was to investigate two potential mechanisms that underlie learning from novel statistics: numerical estimation skills and…
Descriptors: Statistics, Computation, Mathematics Skills, Cognitive Processes
Bülbül, Buket Özüm; Güler, Mustafa; Gürsoy, Kadir; Güven, Bülent – International Online Journal of Education and Teaching, 2020
Although numerous studies have investigated how technology affects academic achievement, very few have focused on the purpose of the use of technology in mathematics education. This current study examines how student teachers (STs) benefit from GeoGebra as one of the Dynamic Geometry Software (DGS) while solving continuity problems. In order to…
Descriptors: Student Teachers, Geometry, Problem Solving, Mathematics Education
Cabrera, Lautaro – Journal of Technology and Teacher Education, 2019
Computational Thinking (CT) is an increasingly relevant concept that researchers are promoting in formal learning contexts. In their mission to prepare teachers to integrate CT into K-12 schooling, teacher educators would benefit from understanding the different kinds of preconceptions of CT that their students bring to the classroom in order to…
Descriptors: Teacher Attitudes, Computation, Thinking Skills, Misconceptions
Sukoriyanto; Nusantara, Toto; Subanji; Chandra, Tjang Daniel – International Education Studies, 2016
This article was written based on the results of a study evaluating students' errors in problem solving of permutation and combination in terms of problem solving steps according to Polya. Twenty-five students were asked to do four problems related to permutation and combination. The research results showed that the students still did a mistake in…
Descriptors: Foreign Countries, College Students, Problem Solving, Computation
Gal-Ezer, Judith; Trakhtenbrot, Mark – Computer Science Education, 2016
Reduction is one of the key techniques used for problem-solving in computer science. In particular, in the theory of computation and complexity (TCC), mapping and polynomial reductions are used for analysis of decidability and computational complexity of problems, including the core concept of NP-completeness. Reduction is a highly abstract…
Descriptors: Computer Science Education, Problem Solving, Computation, Difficulty Level
Lew, Timothy F.; Pashler, Harold E.; Vul, Edward – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2016
What happens to memories as we forget? They might gradually lose fidelity, lose their associations (and thus be retrieved in response to the incorrect cues), or be completely lost. Typical long-term memory studies assess memory as a binary outcome (correct/incorrect), and cannot distinguish these different kinds of forgetting. Here we assess…
Descriptors: Experimental Psychology, Long Term Memory, Learning, Visual Stimuli
Previous Page | Next Page »
Pages: 1 | 2