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Özlem Çeziktürk – International Journal of Mathematical Education in Science and Technology, 2025
I explore some facts about the area, position, etc. of the Steiner ellipse using GeoGebra and numerical analysis. Students can use these for mathematical inquiry.
Descriptors: Computer Software, Mathematics Instruction, Elective Courses, Teacher Education Programs
Lu, Jijian; Tao, Yan; Xu, Jinghao; Stephens, Max – Interactive Learning Environments, 2023
This study is the extension of our previous visualizing study on the commognition processes in computer-supported one-to-one tutoring. With the help of the scale of commognitive responsibility score, we found that the main triggers of the commognition process shift are the positive transfer of knowledge and cognitive conflict. On the basis of…
Descriptors: Cognitive Processes, Computer Assisted Instruction, Tutoring, Artificial Intelligence
Akbas, Elif Ertem; Alan, Kübra – Online Submission, 2022
Due to the fact that the pandemic process did not occur in a predictable time frame, various difficulties have arisen in the field of education. This is also true in mathematics education, and concretization has been one of the biggest obstacles. This situation paved the way for concept learning errors that may occur in students. There are some…
Descriptors: Distance Education, Pandemics, COVID-19, Mathematics Instruction
Hofman, Abe D.; Brinkhuis, Matthieu J. S.; Bolsinova, Maria; Klaiber, Jonathan; Maris, Gunter; van der Maas, Han L. J. – Journal of Intelligence, 2020
One of the highest ambitions in educational technology is the move towards personalized learning. To this end, computerized adaptive learning (CAL) systems are developed. A popular method to track the development of student ability and item difficulty, in CAL systems, is the Elo Rating System (ERS). The ERS allows for dynamic model parameters by…
Descriptors: Teaching Methods, Computer Assisted Instruction, Difficulty Level, Individualized Instruction
Lewis, Katherine E. – Learning Disabilities: A Contemporary Journal, 2010
When solving basic number fact problems (e.g., 4x5=20), students with mathematical learning disabilities (MLDs) make qualitatively different kinds of errors than both typically achieving and low-achieving students. This study explores the origin of these qualitative differences through a detailed analysis of one student with an MLD. Data were…
Descriptors: Learning Disabilities, Problem Solving, Grade 12, Multiplication
Ninness, Chris; Rumph, Robin; McCuller, Glen; Harrison, Carol; Ford, Angela M.; Ninness, Sharon K. – Journal of Applied Behavior Analysis, 2005
Following a pretest, 11 participants who were naive with regard to various algebraic and trigonometric transformations received an introductory lecture regarding the fundamentals of the rectangular coordinate system. Following the lecture, they took part in a computer-interactive matching-to-sample procedure in which they received training on…
Descriptors: Computation, Graphs, Error Patterns, Algebra

Attisha, M.; Yazdani, M. – Instructional Science, 1984
Describes a microcomputer-based system for diagnosing children's multiplication errors which incorporates the knowledge base of all known systematic multiplication errors, and utilizes a modular approach to cope with the program's complexity. Each module's function, how the programs interact, and the design of pupil-machine interaction are…
Descriptors: Computer Assisted Instruction, Diagnostic Teaching, Elementary Education, Error Patterns
Bright, George W. – Focus on Learning Problems in Mathematics, 1987
How computers have affected diagnosis in mathematics is discussed. A distinction is made between errors and mistakes, followed by consideration of computers as a diagnostic tool. The development of algorithms to diagnose errors and of models of student performance is described. (MNS)
Descriptors: Cognitive Development, Computer Assisted Instruction, Diagnostic Teaching, Elementary Secondary Education
Bright, George W. – Focus on Learning Problems in Mathematics, 1988
Considered are concept development and errors in using both Logo and BASIC made by 25 prospective teachers in a computer literacy course. Understanding errors that students exhibit in programing may affect the ways mathematics teachers understand the process of learning structured content like mathematics. (MNS)
Descriptors: College Students, Computer Assisted Instruction, Computer Literacy, Concept Formation
Rittle-Johnson, Bethany; Koedinger, Kenneth R. – Cognition and Instruction, 2005
We present a methodology for designing better learning environments. In Phase 1, 6th-grade students' (n = 223) prior knowledge was assessed using a difficulty factors assessment (DFA). The assessment revealed that scaffolds designed to elicit contextual, conceptual, or procedural knowledge each improved students' ability to add and subtract…
Descriptors: Prior Learning, Intervention, Mathematics Instruction, Problem Solving
Barclay, Tim – Mathematics Teaching, 1980
A computer program named BUGGY is described. The program is designed to duplicate "traditional" student mathematical mistakes; pupils are to identify the nature of the errors the computer makes. (MP)
Descriptors: Algorithms, Computer Assisted Instruction, Computer Programs, Error Patterns
Bernard, Y. F. – 1986
This research is aimed at diagnosing the problem-solving skill of elementary school children and subsequently improving their competence in early mathematics. To reach this goal, a computer assisted instruction (CAI) program on open sentences, incorporating knowledge about students' problem solving strategies and misconceptions, was constructed.…
Descriptors: Computation, Computer Assisted Instruction, Concept Formation, Educational Research
O'Connell, Ann Aileen; And Others – 1996
HyperProb is a Hypercard tutoring system designed to help students develop an effective step-by-step schema for solving probability problems. With this program, students are able to select areas they wish to study via hypermedia links and develop an understanding of terminology and procedures at their own pace with continued reinforcement. Nine…
Descriptors: Computer Assisted Instruction, Error Patterns, Formative Evaluation, Graduate Students

Hativa, Nira – Journal for Research in Mathematics Education, 1988
A student was observed practicing arithmetic with a computer-assisted instruction (CAI) system. She enjoyed practice and believed that it helped. However, she consistently failed to solve problems on the computer that she could do with pencil and paper. This paper suggests reasons for her problems and draws implications for CAI. (Author/PK)
Descriptors: Arithmetic, Case Studies, Computation, Computer Assisted Instruction
Birenbaum, Menucha; And Others – 1992
Diagnoses of students' performance on procedural mathematical tasks need to display a certain level of stability and robustness if they are to be used as the basis for remediation, particularly with computer-delivered instruction. The purpose of this study was to compare two diagnostic approaches for describing students' (n=231) errors in algebra…
Descriptors: Algebra, Cognitive Structures, Computer Assisted Instruction, Educational Diagnosis