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Holland, L. A.; Joliffe, F. R. – International Journal of Computers in Adult Education and Training, 1988
An effective method of teaching statistical ideas is to show students how to use a computer package to analyze survey data that they have collected. This paper discusses the advantages of this approach and illustrates it by considering instruction on summarizing distributions of individual variables. The importance of stating results and…
Descriptors: Adult Education, Computer Assisted Instruction, Statistical Analysis, Surveys
Dambolena, Ismael G. – Collegiate Microcomputer, 1986
Provides examples of the use of computer simulation to help beginners develop a grasp for difficult statistical concepts. The implementation of this teaching methodology is discussed and analysis of simulation output through use of standard statistical software packages is illustrated. (Author/MBR)
Descriptors: Computer Assisted Instruction, Computer Simulation, Computer Software, Concept Teaching
Marcoulides, George A. – Collegiate Microcomputer, 1988
Describes an expert system microcomputer-based program, ZEERA, which is designed to help users understand and perform statistical analyses. Computer-assisted instruction and the traditional approach of drill and practice are discussed, and benefits of using ZEERA are described based on testing in a university elementary statistics course. (11…
Descriptors: Aptitude Treatment Interaction, Computer Assisted Instruction, Courseware, Drills (Practice)
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Haughey, Margaret – Canadian Journal of Learning and Technology, 2006
Given the extensive adoption of research orientations that employ qualitative data collection techniques in education, Margaret Haughey found it exciting to read about a meta-analytical method that combined findings from studies within these research orientations with those from the well-established traditional forms that most often employed…
Descriptors: Meta Analysis, Statistical Analysis, Qualitative Research, Research Methodology
Peer reviewed Peer reviewed
Burton, Orville Vernon – History Microcomputer Review, 1991
Explores the increased use of computers in the humanities. Discusses computer applications in dissertation writing, research databases, classroom teaching, professional communication, and statistical analysis. Cites problems with data entry and sampling, record linkage, and resistance among some historians to new technologies. (SG)
Descriptors: Computer Assisted Instruction, Computer Uses in Education, Data Processing, Databases
Peer reviewed Peer reviewed
Vogel, Robert – Computers in the Schools, 1989
Criticizes the statistical methods used in a previously published article that compared a commercially produced computer program with traditional teaching methods. Measures of instructional effectiveness are described, the assignment of student pairs is examined, and the use of blocking variables with analysis of variance is discussed. (LRW)
Descriptors: Analysis of Variance, Computer Assisted Instruction, Courseware, Criticism
Peer reviewed Peer reviewed
Becker, Henry Jay; Sterling, Carleton W. – Journal of Educational Computing Research, 1987
Data from a national survey of microcomputer uses in schools are used to demonstrate differences in access to and uses of computers by students. Factors examined include race, socioeconomic status, sex, achievement, and ability level. Also discussed are inequality and inequity and the need for additional research on computer impact. (RP)
Descriptors: Achievement, Comparative Analysis, Computer Assisted Instruction, Computer Literacy
Peer reviewed Peer reviewed
Hoelscher, Karen – Computers in the Schools, 1986
Describes the Minnesota Education Computing Corporation (MECC) Computing and Information Collection, a collection of software products for students in grades 4-12. These products are designed to support individual course content objectives and introduce and practice information literacy skills. Curriculum applications in language arts,…
Descriptors: Cognitive Style, Computer Assisted Instruction, Computer Graphics, Database Management Systems