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How, Meng-Leong; Hung, Wei Loong David – Education Sciences, 2019
Educational stakeholders would be better informed if they could use their students' formative assessments results and personal background attributes to predict the conditions for achieving favorable learning outcomes, and conversely, to gain awareness of the "at-risk" signals to prevent unfavorable or worst-case scenarios from happening.…
Descriptors: Artificial Intelligence, Bayesian Statistics, Models, Data Use
Abu Saa, Amjed; Al-Emran, Mostafa; Shaalan, Khaled – Technology, Knowledge and Learning, 2019
Predicting the students' performance has become a challenging task due to the increasing amount of data in educational systems. In keeping with this, identifying the factors affecting the students' performance in higher education, especially by using predictive data mining techniques, is still in short supply. This field of research is usually…
Descriptors: Performance Factors, Data Analysis, Higher Education, Academic Achievement
Burstein, Leigh – 1975
Since problems associated with the statistical methodology of educational research are becoming increasingly important, this paper examines a subset of problems associated with the analysis and interpretation of aggregated data. Two major questions arise: (1) if a researcher knows the level (e.g., individual, teacher/classroom, school, school…
Descriptors: Data Analysis, Data Collection, Data Processing, Educational Research
Peer reviewedSpanier, Graham B. – Adolescence, 1976
Descriptors: College Students, Data Analysis, Educational Research, Parent Education
Mauch, James E.; And Others – 1970
Fundamental problems in the collection and use of data, in particular the need to develop and use criteria for data, are discussed. Specific examples of the use and misuse of data related to teachers and children in the public schools are presented. Two methods of data collection--manifest techniques and formal response instruments--are evaluated…
Descriptors: Data Analysis, Data Collection, Educational Research, Evaluation Methods
Helwig, Carl; Pendergraph, Anita – Journal of Business Education, 1971
A computer-analyzed statistical study of a means by which a pupil's probable success in a senior data processing class can be predicted while he is still in junior high school. (Editor)
Descriptors: Business Education, Data Processing, Educational Research, Predictive Measurement
Peer reviewedDavis, Gary A.; And Others – Journal of Creative Behavior, 1974
Article investigated the use of biographical, personality, attitudinal and motivational information for predicting creative potential. (Author/RK)
Descriptors: Beliefs, Creativity, Educational Research, Measurement Instruments
Peer reviewedBackhouse, J. K. – Educational Research, 1976
The problem of determining grades on a common scale for two groups offering a common paper in an examination was examined. Three theoretical methods were offered and the results of applying them to some data provided by the East Midland Regional Examinations Board were compared. (Author/RK)
Descriptors: Educational Research, Grade Equivalent Scores, Grading, Predictive Measurement
Peer reviewedLarsen, I.; And Others – Instructional Science, 1978
A predictive-control model was used to assess individual progress and grade-place gain for computer assisted instruction in logic at Stanford University. An investigation of this application of the model, its usefulness in curriculum evaluation, and its suitability as the basis for a feedback control system is reported. (RAO)
Descriptors: Computer Assisted Instruction, Curriculum Evaluation, Educational Research, Logic
Lassibille, Gerard; Gomez, Maria Lucia Navarro – Prospects, 1990
Provides statistical assessment of the amount of money developing countries will need to meet an estimated demand for primary education. Evaluates the cost of providing universal primary education by the year 2000. Concludes that African nations must increase spending on education the most, followed by Asia, with the smallest increase required in…
Descriptors: Developing Nations, Educational Finance, Educational Research, Enrollment
Peer reviewedJacobs, Rick; Manese, Wilfredo – Journal of Experimental Education, 1977
The present study was conducted to establish a scoring key for the Guilford Zimmerman Temperament Survey appropriate for predicting academic performance. Results point to the utility of non-cognitive measures in predicting academic performance, particularly when scoring keys tailored to the specific situation are empirically derived. Suggestions…
Descriptors: Academic Achievement, Achievement Tests, Educational Research, Flow Charts
Peer reviewedEllsworth, Randolph A.; Willson, Don D. – Clearing House, 1977
Author asks how much longer education can continue to place so much interest, value and faith in letter grades when he, along with other educational researchers, has shown the minimal relationship between aptitude scores and grades. (Author/RK)
Descriptors: Academic Aptitude, Algebra, Course Descriptions, Educational Research
Peer reviewedWallbrown, Jane D.; And Others – Journal of Experimental Education, 1977
The predictive validity of the Devereux Elementary School Behavior Rating Scale was investigated for 299 suburban children who were largely from upper-middle class homes and well above average in intelligence. Teacher ratings on the Devereux were completed for the students while they were in kindergarten and these ratings were used to predict…
Descriptors: Academic Achievement, Behavior Rating Scales, Educational Research, Elementary Education
Peer reviewedBolig, John R.; Fletcher, Gerald O. – Educational Leadership, 1973
Compares the Metropolitan Readiness Test with the opinion a parent or teacher has of a child for predicting success in the first grade. Results of a two year study are analyzed. (RK)
Descriptors: Academic Achievement, Correlation, Educational Research, Elementary School Students
Peer reviewedRader, Billie Thomas – Journal of Industrial Teacher Education, 1975
Although a complex process, canonical correlation has numerous potential advantages over other predictive techniques, the most important being that canonical correlation predicts several criterion variables simultaneously. The paper shows how the method can be used for industrial and vocational-technical education data. (Author)
Descriptors: Correlation, Educational Research, Industrial Education, Multivariate Analysis
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