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Mortaza Jamshidian; Parsa Jamshidian – Journal of Statistics and Data Science Education, 2024
Using software to teach statistical inference in introductory courses opens the door for methods and practices that are more conceptually appealing to students. With an increasing number of fields requiring competency in statistics including data science, natural and social sciences, public health and more, it is crucial that we as instructors…
Descriptors: Computer Software, Computer Assisted Instruction, Teaching Methods, Statistics Education
Sullivan, Patrick – Mathematics Teacher: Learning and Teaching PK-12, 2022
Probabilistic reasoning underpins much of middle school students' future work in data analysis and inferential statistics. Unfortunately for many middle school students, probabilistic reasoning is not intuitive. One specific area in which students seem to struggle is determining the probability of compound events (Moritz and Watson 2000). Research…
Descriptors: Mathematics Instruction, Thinking Skills, Middle School Students, Data Analysis
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
Toman, Ufuk; Gurbuz, Fatih; Cimer, Sabiha Odabasi – Online Submission, 2013
The purpose of the study is to present the views of the teachers of Primary Science and Technology course about computer assisted instruction. Qualitative research was used in the study. In qualitative researches, the sampling group is small in order to examine the sampling in-depth. Semi-structured interviews were used in the study as data…
Descriptors: Computer Assisted Instruction, Elementary Schools, Qualitative Research, Semi Structured Interviews
Konold, Cliff; Harradine, Anthony; Kazak, Sibel – International Journal of Computers for Mathematical Learning, 2007
In current curriculum materials for middle school students in the US, data and chance are considered as separate topics. They are then ideally brought together in the minds of high school or university students when they learn about statistical inference. In recent studies we have been attempting to build connections between data and chance in the…
Descriptors: Middle School Students, Computer Software, Statistical Inference, Statistical Distributions
Garofalo, Joe; Juersivich, Nicole – NCSSSMST Journal, 2007
There is much research that documents what many teachers know, that students struggle with many concepts in probability and statistics. This article presents two sample activities the authors use to help preservice teachers develop ideas about how they can use technology to promote their students' ability to understand mathematics and connect…
Descriptors: Preservice Teachers, Statistical Inference, Sampling, Probability
Bajgier, Steve M.; Atkinson, MaryAnne – Collegiate Microcomputer, 1989
Describes the use of a simulated learning environment (SLE) as an instructional aid in teaching multivariate statistics, particularly inferential statistics. A prototype microcomputer-based SLE called MVWORLD developed at Drexel University for upper level statistics courses is explained, and implementing a statistics laboratory for multivariate…
Descriptors: Computer Assisted Instruction, Computer Simulation, Courseware, Educational Environment

Mathews, John H. – Mathematics and Computer Education, 1992
Presents two mathematical methods for fitting the logistic curve to population data supplied by the U.S. Census Bureau utilizing computer algebra software to carry out the computations and plot graphs. (JKK)
Descriptors: College Mathematics, Computer Assisted Instruction, Differential Equations, Higher Education
Poirot, James L.; Knezek, Gerald A. – Computing Teacher, 1992
This third in a series of articles on work conducted at the Texas Center for Educational Technology and the University of North Texas focuses on research designs for teachers to determine the impact of technology in the classroom. Highlights include research and the scientific method; qualitative versus quantitative research; and statistical…
Descriptors: Computer Assisted Instruction, Educational Research, Educational Technology, Elementary Secondary Education

Reynolds, Sharon B.; And Others – Computers and Education, 1991
Discussion of knowledge maps focuses on a study at Texas Christian University that was conducted to determine the effects of scripted cooperation in a hypermap environment. Hypermap and hypertext versions of MacStat--the software for univariate statistics that was used in the study--are described, and performance measures are explained. (17…
Descriptors: Analysis of Covariance, Computer Assisted Instruction, Cooperative Learning, Courseware

Haigh, William E. – Mathematics Teacher, 1987
This article investigates two common methods of determining the line of best fit and then expands on the techniques used in these methods to find the line of best fit by graphing, estimating and using a microcomputer. (PK)
Descriptors: Computer Assisted Instruction, Computer Uses in Education, Courseware, Graphs