NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 6 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Arnold, Samuel R. C.; Riches, Vivienne C.; Stancliffe, Roger J. – Journal of Applied Research in Intellectual Disabilities, 2014
Background: Since 1992, the diagnosis and classification of intellectual disability has been dependent upon three constructs: intelligence, adaptive behaviour and support needs (Luckasson "et al." 1992. Mental Retardation: Definition, Classification and Systems of Support. American Association on Intellectual and Developmental…
Descriptors: Classification, Prediction, Mental Retardation, Special Needs Students
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Koys, Daniel – Journal of Education for Business, 2010
The author found that the GPA at the end of the MBA program is most accurately predicted by the Graduate Management Admission Test (GMAT) and the Test of English as a Foreign Language (TOEFL). MBA GPA is also predicted, though less accurately, by the Scholastic Level Exam, a mathematics test, undergraduate GPA, and previous career progression. If…
Descriptors: Grade Point Average, Predictive Validity, Prediction, Foreign Countries
Peer reviewed Peer reviewed
Direct linkDirect link
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
Deane, Robert T.; Ro, Kong-Kyun – 1979
The analysis and description of four manpower nursing requirements models-- the Pugh-Roberts, the Vector, the Community Systems Foundation (CSF), and the Western Interstate Commission of Higher Education (WICHE)--are presented in this report. The introduction provides an overview of the project which was designed to analyze these different models.…
Descriptors: Comparative Analysis, Employment Projections, Labor Needs, Measurement
Chung, Gregory K. W. K.; Dionne, Gary B.; Kaiser, William J. – Online Submission, 2006
Our research question was whether we could develop a feasible technique, using Bayesian networks, to diagnose gaps in student knowledge. Thirty-four college-age participants completed tasks designed to measure conceptual knowledge, procedural knowledge, and problem-solving skills related to circuit analysis. A Bayesian network was used to model…
Descriptors: Discovery Processes, Feasibility Studies, Bayesian Statistics, Prediction