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Riofrio-Luzcando, Diego; Ramirez, Jaime; Berrocal-Lobo, Marta – IEEE Transactions on Learning Technologies, 2017
Data mining is known to have a potential for predicting user performance. However, there are few studies that explore its potential for predicting student behavior in a procedural training environment. This paper presents a collective student model, which is built from past student logs. These logs are first grouped into clusters. Then, an…
Descriptors: Student Behavior, Predictive Validity, Predictor Variables, Predictive Measurement
Northrop, Laura; Kelly, Sean – Urban Education, 2018
This study investigates whether adequate yearly progress (AYP) status, locale, and sector--common variables used to judge the quality of schools--accurately signal true differences in instructional practices in high school mathematics and science. Using data from the High School Longitudinal Study (HSLS), we find the school-to-school variation in…
Descriptors: Instructional Effectiveness, Intermode Differences, Federal Programs, Educational Indicators
Lichtman, Allan J. – Social Education, 2012
The Keys to the White House is a historically-based system for predicting the result of the popular vote in American presidential elections. The Keys system tracks the big picture of how well the party holding the White House has governed and does not shift with events of the campaign. This model gives specificity to the idea that it is…
Descriptors: Elections, Governance, Federal Government, Political Science
Schumacher, Gary; Grigsby, Bettye; Vesey, Winona – International Journal of Educational Management, 2015
Purpose: One bad hiring decision can lead to low student achievement. Research supports that teachers are the most influential factor in student success. As a result, principals' current practice of hiring teachers based on intuition and likeability must change. Given the current high stakes era, principals need reassurance that the teachers they…
Descriptors: Teacher Behavior, Teacher Effectiveness, Teacher Recruitment, Teacher Selection
Lau, Wilfred W. F.; Yuen, Allan H. K. – Computers & Education, 2011
In the 21st century, the ubiquitous nature of technology today is evident and to a large extent, most of us benefit from the modern convenience brought about by technology. Yet to be technology literate, it is argued that learning to program still plays an important role. One area of research in programming concerns the identification of…
Descriptors: Foreign Countries, Academic Achievement, Information Technology, Least Squares Statistics
Parker, Jeffrey – Journal of Economic Education, 2010
The author investigates how ability and gender affect grades on homework projects performed by assigned pairs of students in an undergraduate macroeconomics course. The assignment grade is found to depend on the ability of both students, and the relative importance of the stronger and weaker student differs in predictable ways depending on the…
Descriptors: Homework, Economics Education, Gender Differences, Cooperative Learning
Freng, Scott; Webber, David; Blatter, Jamin; Wing, Ashley; Scott, Walter D. – Teaching of Psychology, 2011
Comprehension of statistics and research methods is crucial to understanding psychology as a science (APA, 2007). However, psychology majors sometimes approach methodology courses with derision or anxiety (Onwuegbuzie & Wilson, 2003; Rajecki, Appleby, Williams, Johnson, & Jeschke, 2005); consequently, students may postpone…
Descriptors: Majors (Students), Grade Point Average, Research Methodology, Academic Achievement
Peer reviewedFeyten, Carine M. – Modern Language Journal, 1991
Examines whether more attention needs to be paid to listening as a necessary skill in the diagnosing and preparation of foreign language students and whether listening skill is a good predictor of language achievement. (GLR)
Descriptors: Language Proficiency, Listening Comprehension, Listening Skills, Predictive Measurement
Peer reviewedLottes, Ilsa L.; And Others – Teaching Sociology, 1996
Defines and illustrates basic concepts of dichotomous logistic regression (DLR) and presents strategies for teaching these concepts. Strategies include using analogies between ordinary least squares regression and logistic regression; illustrating concepts with contingency tables; and linking logistic regression concepts to interpretation of…
Descriptors: Analysis of Variance, Causal Models, Higher Education, Instructional Improvement
Knoeppel, Robert C.; Logan, Joyce P.; Keiser, Clare M. – Online Submission, 2005
The purpose of this study was to investigate the potential viability of the variable certification by the National Board for Professional Teaching Standards (NBPTS) as a policy-relevant predictor of student achievement. Because research has identified the teacher as the most important school-related predictor of student achievement, more research…
Descriptors: Teacher Effectiveness, National Standards, Academic Achievement, Teacher Certification
Pinette, Clayton A., Ed.; Smith, R. Kent, Ed. – 1977
Five articles concerning college reading instruction are included in this special interest journal. Karen L. Pelz, William E. Pelz, and David L. Stritmater present a study of input sequence, exposure, and modality effects on recognition memory, which revealed that students who read assignments and attended lectures performed better on tests on the…
Descriptors: Community Colleges, Developmental Programs, Group Experience, Memory
Peer reviewedMaeshiro, Asatoshi – Journal of Economic Education, 1996
Rectifies the unsatisfactory textbook treatment of the finite-sample proprieties of estimators of regression models with a lagged dependent variable and autocorrelated disturbances. Maintains that the bias of the ordinary least squares estimator is determined by the dynamic and correlation effects. (MJP)
Descriptors: Causal Models, Correlation, Economics Education, Heuristics
Peer reviewedBrown, Gillian – TESOL Quarterly, 1978
Understanding spontaneous speech is a very difficult task for many foreign students. They must be taught to use all the ethnographic cues available to enable them to predict the likely content of a text. They must predict not only the factual content of spoken language but also the interactional structuring. (Author/CFM)
Descriptors: Audiolingual Skills, Auditory Stimuli, Auditory Training, Aural Learning

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