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Klein-Collins, Rebecca; Taylor, Jason; Bishop, Carianne; Bransberger, Peace; Lane, Patrick; Leibrandt, Sarah – Council for Adult and Experiential Learning, 2020
For more than 50 years, colleges and universities have used a range of different methods to award college credit for learning that takes place outside of the classroom--particularly learning from work, life, and military experiences. These methods--often called prior learning assessment (PLA) or credit for prior learning (CPL)--value the learning…
Descriptors: Prior Learning, Student Evaluation, College Credits, Adult Students
Klein-Collins, Rebecca; Taylor, Jason; Bishop, Carianne; Bransberger, Peace; Lane, Patrick; Leibrandt, Sarah – Council for Adult and Experiential Learning, 2020
Adult students--whether just starting college or returning after stopping or dropping out--often have significant college-level learning they have acquired outside of academia. Postsecondary institutions have the option to evaluate that learning for the purpose of awarding credit or otherwise recognizing the learning so that it can count toward a…
Descriptors: Prior Learning, Student Evaluation, College Credits, Adult Students
Klein-Collins, Rebecca; Taylor, Jason; Bishop, Carianne; Bransberger, Peace; Lane, Patrick; Leibrandt, Sarah – Council for Adult and Experiential Learning, 2020
For more than 50 years, colleges and universities have used a range of different methods to award college credit for learning that takes place outside of the classroom--particularly learning from work, life, and military experiences. These methods--often called prior learning assessment (PLA) or credit for prior learning (CPL)--value the learning…
Descriptors: Prior Learning, Student Evaluation, College Credits, Adult Students
Klein-Collins, Rebecca; Taylor, Jason; Bishop, Carianne; Bransberger, Peace; Lane, Patrick; Leibrandt, Sarah – Council for Adult and Experiential Learning, 2020
This report describes the adult student's experience with prior learning assessment (PLA) using student record data from 72 degree-granting postsecondary institutions in the United States, primarily focusing on the data from 69 of those institutions based on the more detailed data provided by those institutions to the study. Researchers from the…
Descriptors: Prior Learning, Student Evaluation, Adult Students, Student Records
Klein-Collins, Rebecca; Taylor, Jason; Bishop, Carianne; Bransberger, Peace; Lane, Patrick; Leibrandt, Sarah – Council for Adult and Experiential Learning, 2020
This report describes the adult student's experience with prior learning assessment (PLA) using student record data from 72 degree-granting postsecondary institutions in the United States, primarily focusing on the data from 69 of those institutions based on the more detailed data provided by those institutions to the study. Researchers from the…
Descriptors: Prior Learning, Student Evaluation, Adult Students, Student Records
Valley, John R. – New Directions for Experiential Learning, 1980
Advice is given to the individual college about three main kinds of variables to take into account in analyzing all the economic effects of programs for awarding credit to students in recognition of prior learning: process variables, student variables, and institutional variables. (Author/MSE)
Descriptors: College Administration, College Credits, Cost Effectiveness, Educational Economics
Peer reviewedSwift, John S., Jr. – Journal of Education Finance, 1985
Following a literature review, this article analyzes the financial impact of credits for experiential learning on a major midwestern university. Both students and the institution appear to have benefited economically. Questions are raised concerning who should benefit from publicly supported education--students, society, or all three. Includes 28…
Descriptors: Adult Programs, College Credits, Cost Effectiveness, Educational Finance
Lamdin, Lois – New Directions for Experiential Learning, 1983
The consortial approach to assessment of prior learning can reduce costs and increase the availability of service. CLEO (Compact for Lifelong Educational Opportunities), a consortium of 38 colleges and universities in the Delaware Valley region, is described. (Author/MLW)
Descriptors: Adult Students, Consortia, Cost Effectiveness, Evaluation Methods
Llewellyn, Nick – Aspects of Educational and Training Technology Series, 1992
Capability is an expert system designed to support the process of compiling portfolios for competence-based assessment, particularly accreditation of prior leaning. The system was designed to provide cost effective management, consistency of rigor, support for tutors in accreditation workshops, and a structured approach to counseling. Outlines…
Descriptors: Accreditation (Institutions), Competence, Cost Effectiveness, Decision Support Systems
Riedel, J. E. – 1982
Since its first year of operation, Coastline Community College (CCC) has granted students credit based on military experience, licensure, occupational training, credit-by-examination, and assessment of prior learning. In spring 1982, a study was conducted to compare the cost-effectiveness of granting credit for experience with that of the…
Descriptors: Associate Degrees, College Credits, College Graduates, Community Colleges
Kelley, R. Lynn; And Others – 1976
A cost/benefit analysis of the assessment of experiential learning was performed at Webster College, Missouri. An undergraduate and a masters degree program were studied; the costs of evaluating experiential learning were compared to the costs of traditional college programs. Total costs for experiential learning assessment were found to be…
Descriptors: College Students, Cost Effectiveness, Evaluators, Experiential Learning
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection


