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Atiye Ayyildiz Altinbas; Erhan Ertekin; Süleyman Solak – International Journal of Mathematical Education in Science and Technology, 2024
This study was performed to determine preservice elementary mathematics teachers' solution performance of systems of linear equations using geometric representation, algebraic representation and transition from geometric representation to the algebraic representation and the predictive role of preservice elementary mathematics teachers'…
Descriptors: Elementary School Teachers, Mathematics Teachers, Problem Solving, Equations (Mathematics)
Tomohiro Nagashima; Stephanie Tseng; Elizabeth Ling; Anna N. Bartel; Nicholas A. Vest; Elena M. Silla; Martha W. Alibali; Vincent Aleven – Grantee Submission, 2022
Learners' choices as to whether and how to use visual representations during learning are an important yet understudied aspect of self-regulated learning. To gain insight, we developed a "choice-based" intelligent tutor in which students can choose whether and when to use diagrams to aid their problem solving in algebra. In an…
Descriptors: Middle School Students, Visual Aids, Intelligent Tutoring Systems, Independent Study
Celik, Halil Coskun; Ozdemir, Furkan – International Journal of Progressive Education, 2020
The aim of this study was to examine the relationship between mathematics thinking sub-dimensions (higher order thinking, reasoning, mathematical thinking and problem-solving) and critical thinking disposition. In addition, this study investigated whether mathematical thinking sub-dimensions are significant predictors of critical thinking…
Descriptors: Mathematics Skills, Thinking Skills, Predictor Variables, Critical Thinking
Vicki Steinle; Kaye Stacey; Beth Price – Mathematics Education Research Group of Australasia, 2024
This paper provides evidence that a short, fully online, well-constructed diagnostic test based on research literature can give teachers information about their students' thinking and strategies that is sufficiently accurate to use for formative assessment purposes. The example is a test for students beginning to learn to solve equations. The main…
Descriptors: Foreign Countries, Secondary School Mathematics, Secondary School Students, Secondary School Teachers
Allison S. Liu; Kirk Vanacore; Erin Ottmar – Grantee Submission, 2022
Feedback in educational technologies can teach and engage students in math, but questions remain on how to present failure feedback that supports positive learning behaviors. We explore how error- and reward-based feedback influenced students' choices to replay completed problems in "From Here to There!," a math game-based educational…
Descriptors: Educational Technology, Technology Uses in Education, Feedback (Response), Failure
Sinclair, Arabella J.; Schneider, Bertrand – International Educational Data Mining Society, 2021
Collaborative dialogue is rich in conscious and subconscious coordination behaviours between participants. This work explores collaborative learner dialogue through theories of alignment, analysing inter-partner movement and language use with respect to our hypotheses: that they interrelate, and that they form predictors of collaboration quality…
Descriptors: Dialogs (Language), Cooperative Learning, Correlation, Predictor Variables
Hur, Paul; Bosch, Nigel; Paquette, Luc; Mercier, Emma – International Educational Data Mining Society, 2020
Collaborative problem solving behaviors are difficult to identify and foster due to their amorphous and dynamic nature. In this paper, we investigate the value of considering early class period behaviors, based on small group development theory, for building predictive machine learning models of collaborative behaviors during problem solving. Over…
Descriptors: Cooperative Learning, Interaction, Peer Relationship, Handheld Devices
Tempelaar, Dirk; Rienties, Bart; Nguyen, Quan – International Association for Development of the Information Society, 2019
Learning analytic models are built upon traces students leave in technology-enhanced learning platforms as the digital footprints of their learning processes. Learning analytics uses these traces of learning engagement to predict performance and provide learning feedback to students and teachers when these predictions signal the risk of failing a…
Descriptors: Learner Engagement, Outcomes of Education, Learning Processes, Learning Analytics
Kasapoglu, Koray; Didin, Melek – International Journal of Contemporary Educational Research, 2019
This study aims to investigate the relationship between pre-service pre-school teachers' life skills and psychological well-being and to determine whether or not various variables related to pre-service pre-school teachers (gender, age, grade level, type of instruction, cumulated grade point average, status of taking course about life skills) and…
Descriptors: Foreign Countries, Correlation, Preservice Teachers, Preschool Teachers
Strohmaier, Anselm Robert; Schiepe-Tiska, Anja; Müller, Fabian; Reiss, Kristina M. – AERA Online Paper Repository, 2017
Self-concept is an important noncognitive predictor of learning success and academic achievement, but mechanisms behind these effects are mostly unknown (Marsh, 2006). We analyzed the influence of mathematical self-concept on university students' eye movements in reading mathematical PISA items in a mathematical and a problem-solving context. In a…
Descriptors: College Students, College Mathematics, Mathematics Skills, Mathematics Tests
Crossley, Scott; Liu, Ran; McNamara, Danielle – Grantee Submission, 2017
A number of studies have demonstrated links between linguistic knowledge and performance in math. Studies examining these links in first language speakers of English have traditionally relied on correlational analyses between linguistic knowledge tests and standardized math tests. For second language (L2) speakers, the majority of studies have…
Descriptors: Predictor Variables, Mathematics Achievement, English (Second Language), Natural Language Processing
Wan, Hao; Beck, Joseph Barbosa – International Educational Data Mining Society, 2015
The phenomenon of wheel spinning refers to students attempting to solve problems on a particular skill, but becoming stuck due to an inability to learn the skill. Past research has found that students who do not master a skill quickly tend not to master it at all. One question is why do students wheel spin? A plausible hypothesis is that students…
Descriptors: Skill Development, Problem Solving, Knowledge Level, Learning Processes
Almuna Salgado, Felipe – Mathematics Education Research Group of Australasia, 2016
This paper reports on a study that examines the effects of problem context on students' performance. The performance of 151 Year 10 students on six mathematical problems was compared with the performance on fifteen variants with more and less context familiarity (CF) and engagement (CE) across levels of context use (LCU). The latter explanatory…
Descriptors: Mathematics Achievement, Context Effect, Familiarity, Predictor Variables
Smith, Thomas J.; Rose, Amy D.; Ross-Gordon, Jovita M.; Smith, M. Cecil – AERA Online Paper Repository, 2016
The present study examined an international sample of adults from the Survey of Adult Skills administered by the Program for the International Assessment of Adult Competencies (PIAAC; Organisation for Economic Co-operation and Development, 2009) to assess (1) how specific individual and country-level characteristics predict adult readiness to…
Descriptors: Adults, Learning Readiness, Global Approach, Individual Characteristics
Chen, Lujie; Li, Xin; Xia, Zhuyun; Song, Zhanmei; Morency, Louis-Philippe; Dubrawski, Artur – International Educational Data Mining Society, 2016
Solving challenging math problems often invites a child to ride an "emotional roller-coaster" and experience a complex mixture of emotions including confusion, frustration, joy, and surprise. Early exposure to this type of "hard fun" may stimulate child's interest and curiosity of mathematics and nurture life long skills such…
Descriptors: Young Children, Mathematics Education, Problem Solving, Psychological Patterns