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Sclater, Niall – Journal of Learning Analytics, 2016
Ethical and legal objections to learning analytics are barriers to development of the field, thus potentially denying students the benefits of predictive analytics and adaptive learning. Jisc, a charitable organization that champions the use of digital technologies in UK education and research, has attempted to address this with the development of…
Descriptors: Data Analysis, Information Policy, Ethics, Standard Setting
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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
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Harvey, Marina; Kosman, Bronwyn – Journal of Higher Education Policy and Management, 2014
The development of a standards-based assessment policy represented a significant cultural shift in assessment practice at one university. Concurrently, the implementation of a policy framework represented a significant procedural shift in policy development and review. The assessment policy was the first policy scheduled to be reviewed through the…
Descriptors: Educational Assessment, Educational Policy, Higher Education, Models
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Cawthon, Stephanie W.; Caemmerer, Jacqueline M.; Dickson, Duncan M.; Ocuto, Oscar L.; Ge, Jinjin; Bond, Mark P. – Applied Developmental Science, 2015
Social skills function as a vehicle by which we negotiate important relationships and navigate the transition from childhood into the educational and professional experiences of early adulthood. Yet, for individuals who are deaf, access to these opportunities may vary depending on their preferred language modality, family language use, and…
Descriptors: Predictor Variables, Prediction, Predictive Measurement, Predictive Validity
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Miller, Marybeth – Physical Education and Sport Pedagogy, 2012
Background: The implementation of service-learning as a teaching and learning method has been well grounded in education, yet the discipline of physical education teacher education (PETE) has been slow to establish itself in this experiential learning paradigm. This study examined the role that service-learning plays in teacher candidates'…
Descriptors: Education Majors, Communication Strategies, Physical Education, Service Learning
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Warren, John Robert; Saliba, Jim – Educational Researcher, 2012
How many students repeat a grade each year? How do retention rates vary across states and over time? Despite extensive research on the predictors and consequences of grade retention, there is no systematic way to quantify state-level retention rates; even national estimates rely on imperfect proxy measures. We present a conceptually simple…
Descriptors: Grade Repetition, School Holding Power, Public Education, National Surveys
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Cocea, M.; Weibelzahl, S. – IEEE Transactions on Learning Technologies, 2011
Learning environments aim to deliver efficacious instruction, but rarely take into consideration the motivational factors involved in the learning process. However, motivational aspects like engagement play an important role in effective learning-engaged learners gain more. E-Learning systems could be improved by tracking students' disengagement…
Descriptors: Prediction, Electronic Learning, Online Courses, Delivery Systems
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Bruinsma, M.; Jansen, E. P. W. A. – School Effectiveness and School Improvement, 2007
Several factors in the H. J. Walberg Educational Productivity Model, which assumes that 9 factors affect academic achievement, were examined with a limited sample of 1st-year students in the University of Groningen. Information concerning 8 of these factors--grades, motivation, age, prior achievement, home environment, support from peers,…
Descriptors: Academic Achievement, Program Validation, Item Analysis, Models
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Holton, Elwood F., III; Bates, Reid A.; Bookter, Annette I.; Yamkovenko, V. Bogdan – Human Resource Development Quarterly, 2007
The Learning Transfer System Inventory (LTSI) was developed to identify a select set of factors with the potential to substantially enhance or inhibit transfer of learning to the work environment. It has undergone a variety of validation studies, including construct, criterion, and crosscultural studies. However, the convergent and divergent…
Descriptors: Work Environment, Transfer of Training, Test Validity, Program Validation
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Porter, Andrew C.; And Others – American Educational Research Journal, 1978
The estimation of the "size of effect" of educational programs is a difficult problem in program evaluation. It is argued that the intentions of the program and the nature of the measures must be known in order to estimate program effects. (JKS)
Descriptors: Data Analysis, Educational Assessment, Instructional Programs, Measurement Objectives
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Mulvenon, Sean W.; Wang, Kening; McKenzie, Sarah; Airola, Denise – Educational Research Quarterly, 2006
Effective exploration of spatially referenced educational achievement data can help educational researchers and policy analysts accelerate interpretation of datasets to gain valuable insights. This paper illustrates the use of Geographic Information Systems (GIS) to analyze educational achievement gaps in Arkansas. It introduces the Geographic…
Descriptors: Program Effectiveness, Maps, Policy Analysis, Information Systems