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Pascopella, Angela – District Administration, 2012
Predicting the future is now in the hands of K12 administrators. While for years districts have collected thousands of pieces of student data, educators have been using them only for data-driven decision-making or formative assessments, which give a "rear-view" perspective only. Now, using predictive analysis--the pulling together of data over…
Descriptors: Expertise, Prediction, Decision Making, Data
Castro, Francisco Enrique Vicente; Adjei, Seth; Colombo, Tyler; Heffernan, Neil – International Educational Data Mining Society, 2015
A great deal of research in educational data mining is geared towards predicting student performance. Bayesian Knowledge Tracing, Performance Factors Analysis, and the different variations of these have been introduced and have had some success at predicting student knowledge. It is worth noting, however, that very little has been done to…
Descriptors: Models, Student Behavior, Intelligent Tutoring Systems, Data Analysis
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Jayaprakash, Sandeep M.; Moody, Erik W.; Lauría, Eitel J. M.; Regan, James R.; Baron, Joshua D. – Journal of Learning Analytics, 2014
The Open Academic Analytics Initiative (OAAI) is a collaborative, multi-year grant program aimed at researching issues related to the scaling up of learning analytics technologies and solutions across all of higher education. The paper describes the goals and objectives of the OAAI, depicts the process and challenges of collecting, organizing and…
Descriptors: At Risk Students, College Students, Open Source Technology, Data Analysis
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Cutler, David M.; Meara, Ellen; Richards-Shubik, Seth – Journal of Human Resources, 2012
We develop a model of induced innovation that applies to medical research. Our model yields three empirical predictions. First, initial death rates and subsequent research effort should be positively correlated. Second, research effort should be associated with more rapid mortality declines. Third, as a byproduct of targeting the most common…
Descriptors: Evidence, Innovation, Medical Services, Infants
Lacefield, Warren E.; Applegate, E. Brooks; Zeller, Pamela J.; Van Kannel-Ray, Nancy; Carpenter, Shelly – Online Submission, 2011
This study describes a well-defined data-driven diagnostic identification and selection procedure for choosing students at-risk of academic failure for appropriate academic support services. This algorithmic procedure has been validated both by historical quantitative studies of student precedents and outcomes as well as by current qualitative…
Descriptors: Academic Failure, At Risk Students, Identification, Information Systems
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Thal, Donna J.; And Others – Applied Psycholinguistics, 1995
Toddlers in the lowest 10th percentile for lexical production were compared with age- and language-matched controls on measures of phonetic complexity, lexical development, and grammatical complexity. Results indicate an overlap between phonology, lexicon, and grammar and suggest the importance of true consonant production for lexical development.…
Descriptors: Child Language, Consonants, Control Groups, Data Analysis
Le Ninan, Claude – Francais dans le Monde, 1996
Discusses the objectives of the study of Economics, which include anticipating future events and explaining current developments. The article points out that an acquaintance with past economic developments enhances the ability to predict the future. Research into the reasons for economic events often can uncover the multiple causes of a given…
Descriptors: Business Cycles, Course Objectives, Econometrics, Economic Climate
Reap, Margaret C. – 1979
The American College Testing (ACT) Assessment Program is reviewed in this four-part report in terms of its use at North Harris County College (NHCC). Part I briefly reviews the contents of the four ACT tests: English Usage, Mathematics Usage, Social Studies Reading, and Natural Science Reading. It goes on to discuss the stability, limitations, and…
Descriptors: College Entrance Examinations, Community Colleges, Predictive Measurement, Predictive Validity
Camara, Wayne J. – College Entrance Examination Board, 1997
There is a strong and consistent relationship between PSAT/NMSQT scores and AP Examination grades for nearly all courses--higher scores on the PSAT/NMSQT indicate a higher probability of success on AP Examinations. PSAT/NMSQT verbal or mathematics scores are often more highly related to AP Examination grades than overall high school GPA, number of…
Descriptors: College Entrance Examinations, Scores, Advanced Placement Programs, Correlation