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Wang, Faming; Wang, Yehui; Liu, Yaping; Leung, Shing On – Scandinavian Journal of Educational Research, 2023
The importance of the opportunity to learn (OTL) for mathematics achievement has been extensively researched. However, there were still unanswered questions regarding OTL's measurement, analytical level, and relationship with motivational beliefs. To fill in the gaps, we aimed to (1) scrutinize the reliability and validity of OTL, (2) investigate…
Descriptors: International Assessment, Foreign Countries, Achievement Tests, Secondary School Students
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Interactive Learning Environments, 2024
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined 1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction and 2)…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Nordlander, Maria Cortas – International Journal of Mathematical Education in Science and Technology, 2022
The purpose of this paper is to follow the reasoning of high school students when asked to explain the standard trigonometric limit lim/[theta][right arrow] sin[theta]/[theta]. An observational study was conducted in four different phases in order to investigate if visualization, by means of an interactive technology environment (Geogebra), can…
Descriptors: Trigonometry, Mathematics Instruction, Concept Formation, Mathematical Concepts
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2023
This paper demonstrated how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. Using a data-driven approach, we examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance (i.e. posttest math knowledge scores) prediction; and…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Indrapangastuti, Dewi; Surjono, Herman Dwi; Sugiman; Yanto, Bagus Endri – Journal of Education and e-Learning Research, 2021
This study aims to discover the effectiveness of the blended learning model in mathematics learning to improve the achievement of mathematical concepts. This study employed a quasi-experimental design with a non-equivalent control group. The experimental class was taught through blended learning, while the control class was taught through the…
Descriptors: Blended Learning, Teaching Methods, Mathematical Concepts, Mathematics Instruction
Ji-Eun Lee; Amisha Jindal; Sanika Nitin Patki; Ashish Gurung; Reilly Norum; Erin Ottmar – Grantee Submission, 2022
This paper demonstrates how to apply Machine Learning (ML) techniques to analyze student interaction data collected in an online mathematics game. We examined: (1) how different ML algorithms influenced the precision of middle-school students' (N = 359) performance prediction; and (2) what types of in-game features were associated with student…
Descriptors: Teaching Methods, Algorithms, Mathematics Tests, Computer Games
Dawkins, Paul Christian; Roh, Kyeong Hah; Eckman, Derek; Cho, Young Kee – North American Chapter of the International Group for the Psychology of Mathematics Education, 2021
This report documents how one undergraduate student used set-based reasoning to reinvent logical principles related to conditional statements and their proofs. This learning occurred in a teaching experiment intended to foster abstraction of these logical relationships by comparing the predicate and inference structures among various proofs (in…
Descriptors: Mathematics Instruction, Validity, Mathematical Logic, Learning Trajectories
Richard, Philippe R.; Oller Marcén, Antonio Miguel; Meavilla Seguí, Vicente – ZDM: The International Journal on Mathematics Education, 2016
Our article aims to show how illuminating mathematical work as a concept from didactics of mathematics is useful in understanding issues relating to proving and learning of proof, with or without technology. After posing our hypotheses on the relationship of proof with mathematical work, the pedagogical intent of historical elements of geometry…
Descriptors: Mathematical Concepts, Mathematical Logic, Validity, Mathematics
Taylor, Robin T.; Bishop, Pamela R.; Lenhart, Suzanne; Gross, Louis J.; Sturner, Kelly – CBE - Life Sciences Education, 2020
We describe the development and initial validity assessment of the 20-item BioCalculus Assessment (BCA), with the objective of comparing undergraduate life science students' understanding of calculus concepts in different courses with alternative emphases (with and without focus on biological applications). The development process of the BCA…
Descriptors: Test Construction, Mathematics Tests, Calculus, Test Validity
Hofer, Sarah I.; Schumacher, Ralph; Rubin, Herbert – International Journal of STEM Education, 2017
Background: Valid assessment of the understanding of Newton's mechanics is highly relevant to both physics classrooms and research. Several tests have been developed. What remains missing, however, is an efficient and fair test of conceptual understanding that is adapted to the content taught to secondary school students and that can be validly…
Descriptors: Mathematical Concepts, Concept Formation, Mathematics Instruction, Secondary School Students
Li, Hui-Chuan – International Journal of Mathematical Education in Science and Technology, 2014
This study examines students' procedural and conceptual achievement in fraction addition in England and Taiwan. A total of 1209 participants (561 British students and 648 Taiwanese students) at ages 12 and 13 were recruited from England and Taiwan to take part in the study. A quantitative design by means of a self-designed written test is adopted…
Descriptors: Comparative Analysis, Addition, Mathematics Instruction, Foreign Countries
Brandt, Jim – PRIMUS, 2013
Equivalence relations and partitions are two interconnected ideas that play important roles in advanced mathematics. While students encounter the informal notion of equivalence in many courses, the formal definition of an equivalence relation is typically introduced in a junior level transition-to-proof course. This paper reports the results of a…
Descriptors: College Mathematics, Teaching Methods, Mathematical Concepts, Lecture Method
Lesseig, Kristin – International Journal of Research in Education and Science, 2016
Research documenting teachers' fragile understanding of proof and how it is advanced suggests that enhancing the role of proof in school mathematics will demand substantial teacher learning. To date, there is little research detailing what mathematical knowledge might support the teaching of proof or how professional development (PD) might afford…
Descriptors: Mathematics, Mathematics Instruction, Mathematical Logic, Validity
Hughes, Gerunda B.; Daro, Phil; Holtzman, Deborah; Middleton, Kyndra – American Institutes for Research, 2013
Introduction: For decades, prior to the inception of the Common Core State Standards (CCSS), the National Assessment of Educational Progress (NAEP) was the only vehicle through which states could assess the progress of their students using a common metric. Now, 45 states, 4 U.S. territories, and the District of Columbia have adopted the CCSS to…
Descriptors: National Competency Tests, Mathematics Tests, Mathematics Achievement, State Standards
Hilbert, Tatjana S.; Renkl, Alexander; Kessler, Stephan; Reiss, Kristina – Learning and Instruction, 2008
This field experiment tested whether a special type of worked-out examples (i.e., heuristic examples) helps learners develop better conceptual knowledge about mathematical proving and proving skills than a control condition focussing on mathematical contents. Additionally, we analysed the benefits of self-explanation prompts and completion…
Descriptors: Student Teachers, Heuristics, Instructional Effectiveness, Mathematical Logic
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