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Süleyman Emre Aktas; Çaglar Naci Hidiroglu – Journal of Pedagogical Research, 2024
The study aims to investigate prospective middle school mathematics teachers' mental actions related to debugging, which is one of the computational thinking skills in the modeling process. The study was conducted with a single-case embedded model. The collaborative working group consisted of three prospective mathematics teachers selected by…
Descriptors: Preservice Teachers, Mathematics Teachers, Mathematical Models, Mathematics Instruction
Kim, Soo Jung; Xin, Yan Ping – Learning Disabilities: A Contemporary Journal, 2022
We conducted a comprehensive synthesis of computer-assisted instruction (CAI) research that aimed to facilitate the learning of mathematical word problem solving involving elementary and secondary school students with learning disabilities or difficulties in mathematics. We examined a total of 13 studies under the four instructional categories:…
Descriptors: Computer Assisted Instruction, Word Problems (Mathematics), Problem Solving, Mathematics Instruction
Swinson, Ronnie; Clark, Aaron C.; Ernst, Jeremy V.; Sutton, Kevin – Technology and Engineering Teacher, 2016
Today's engineers, designers, and technologists are often thrust into the role of problem solver, from the initial design phase of a product or process all the way to final development. Many engineers in manufacturing environments are tasked with solving problems and continuously improving processes to enhance company profitability, efficiency,…
Descriptors: Technology Education, Engineering Education, Simulation, Problem Solving
McCulloch, Allison W.; Whitehead, Ashley; Lovett, Jennifer N.; Whitley, Blake – Mathematics Teacher, 2017
Context is what makes mathematical modeling tasks different from more traditional textbook word problems. Math problems are sometimes stripped of context as they are worked on. For modeling problems, however, context is important for making sense of the mathematics. The task should be brought back to its real-world context as often as possible. In…
Descriptors: Mathematics Instruction, Audio Equipment, Textbooks, Word Problems (Mathematics)
Fox, William – Journal of Computers in Mathematics and Science Teaching, 2012
The purpose of our modeling effort is to predict future outcomes. We assume the data collected are both accurate and relatively precise. For our oscillating data, we examined several mathematical modeling forms for predictions. We also examined both ignoring the oscillations as an important feature and including the oscillations as an important…
Descriptors: Foreign Countries, Mathematical Models, War, Data Analysis
Thomson, Ian – Australian Mathematics Teacher, 2010
The spread of swine flu has been a cause of great concern globally. With no vaccine developed as yet, (at time of writing in July 2009) and given the fact that modern-day humans can travel speedily across the world, there are fears that this disease may spread out of control. The worst-case scenario would be one of unfettered exponential growth.…
Descriptors: Mathematical Models, Mathematics Instruction, Communicable Diseases, Relevance (Education)
Xin, Yan Ping; Si, Luo; Hord, Casey; Zhang, Dake; Cetinas, Suleyman; Park, Joo Young – Learning Disabilities: A Multidisciplinary Journal, 2012
The study explored the effects of a computer-assisted COnceptual Model-based Problem-Solving (COMPS) program on multiplicative word-problem-solving performance of students with learning disabilities or difficulties. The COMPS program emphasizes mathematical modeling with algebraic expressions of relations. Participants were eight fourth and fifth…
Descriptors: Learning Disabilities, Program Effectiveness, Teaching Methods, Problem Solving
Sengupta, Pratim; Wilensky, Uri – International Journal of Computers for Mathematical Learning, 2009
Electricity is regarded as one of the most challenging topics for students of all ages. Several researchers have suggested that naive misconceptions about electricity stem from a deep incommensurability (Slotta and Chi 2006; Chi 2005) or incompatibility (Chi et al. 1994) between naive and expert knowledge structures. In this paper we argue that…
Descriptors: Cues, Investigations, Physics, Intuition
Budinski, Natalija; Takaci, Djurdjica – International Journal for Technology in Mathematics Education, 2011
This paper proposes modelling based learning as a tool for learning and teaching mathematics. The example of modelling real world problems leading to the exponential function as the solution of differential equations is described, as well as the observations about students' activities during the process. The students were acquainted with the…
Descriptors: Foreign Countries, World Problems, Mathematics Instruction, Problem Solving
Green, Kris H. – Journal of Computers in Mathematics and Science Teaching, 2008
This paper explores the use of spreadsheets to develop an exploratory environment where mathematics students can develop their own understanding of the parameters of commonly encountered families of functions: linear, logarithmic, exponential and power. The key to this understanding involves opening up the definition of rate of change from the…
Descriptors: Spreadsheets, Educational Technology, Computer Assisted Instruction, Mathematics Instruction
Ramon Barrada, Juan; Veldkamp, Bernard P.; Olea, Julio – Applied Psychological Measurement, 2009
Computerized adaptive testing is subject to security problems, as the item bank content remains operative over long periods and administration time is flexible for examinees. Spreading the content of a part of the item bank could lead to an overestimation of the examinees' trait level. The most common way of reducing this risk is to impose a…
Descriptors: Item Banks, Adaptive Testing, Item Analysis, Psychometrics
Atkinson, R. C.; Paulson, J. A. – 1970
This paper describes three models of learning theories, derives optimal presentation strategies for the models, and compares the effectiveness of the strategies in two computer assisted instruction experiments. The three models described are: 1) the linear, or response-insensitive model, in which the error probability for a given item depends on…
Descriptors: Computer Assisted Instruction, Instructional Design, Learning Theories, Mathematical Models
Liljedahl, Peter, Ed.; Oesterle, Susan, Ed.; Allan, Darien, Ed. – Canadian Mathematics Education Study Group, 2012
This submission contains the Proceedings of the 2011 Annual Meeting of the Canadian Mathematics Education Study Group (CMESG), held at Memorial University of Newfoundland in St. John's, Newfoundland. The CMESG is a group of mathematicians and mathematics educators who meet annually to discuss mathematics education issues at all levels of learning.…
Descriptors: Foreign Countries, Conference Papers, Mathematics Education, Team Teaching

Dorn, William S. – Journal of Research in Science Teaching, 1975
Describes two types of computer-based experiments: simulation (which assumes no student knowledge of the workings of the computer program) is recommended for experiments aimed at inductive reasoning; and modeling (which assumes student understanding of the computer program) is recommended for deductive processes. (MLH)
Descriptors: College Science, Computer Assisted Instruction, Deduction, Higher Education
Engel, Joseph H.; And Others – Engineering Education, 1976
Describes a combination of lectures, experiments, and analysis with the aid of remote computer terminals that helps the engineering student grasp the fundamentals and implications of a mathematical model applied to a particular job situation. (MLH)
Descriptors: Computer Assisted Instruction, Course Descriptions, Engineering, Engineering Education