A Model for New Linkages for Prior Learning Assessment

Autor/inn/en	Kalz, Marco; van Bruggen, Jan; Giesbers, Bas; Waterink, Wim; Eshuis, Jannes; Koper, Rob
Titel	A Model for New Linkages for Prior Learning Assessment
Quelle	In: Campus-Wide Information Systems, 25 (2008) 4, S.233-243 (11 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1065-0741
DOI	10.1108/10650740810900676
Schlagwörter	Evaluation Methods; Portfolio Assessment; Portfolios (Background Materials); Open Universities; Semantics; Prior Learning; Foreign Countries; Case Studies; Natural Language Processing; Student Evaluation; Electronic Learning; Computer Software; Information Technology; Educational Technology; Computer Assisted Testing; Computational Linguistics; College Students; Netherlands + Suchen Sie Ihr Suchwort? Portfoliobeurteilung; Offene Universität; Semantik; Vorkenntnisse; Ausland; Case study; Fallstudie; Case Study; Natürliche Sprache; Schulnote; Studentische Bewertung; Informationstechnologie; Unterrichtsmedien; Linguistics; Computerlinguistik; Collegestudent; Niederlande
Abstract	Purpose: The purpose of this paper is twofold: first the paper aims to sketch the theoretical basis for the use of electronic portfolios for prior learning assessment; second it endeavours to introduce latent semantic analysis (LSA) as a powerful method for the computation of semantic similarity between texts and a basis for a new observation link for prior learning assessment. Design/methodology/approach: A short literature review about e-assessment was conducted with the result that none of the reviews included new and innovative methods for the assessment of open responses and narrative of learners. On a theoretical basis the connection between e-portfolio research and research about prior learning assessment is explained based on existing literature. After that, LSA is introduced and several examples from similar educational applications are provided. A model for prior learning assessment on the basis of LSA is presented. A case study at the Open University of The Netherlands is presented and preliminary results are discussed. Findings: A first inspection of the results shows that the similarity measurement that is produced by the system can differentiate between learners who sent in different material and between the learning activities and chapters. Originality/value: The paper is original because it combines research from natural language processing with very practical educational problems in higher education and technology-enhanced learning. For faculty members the presented model and technology can help them in the assessment phase in an APL procedure. In addition, the presented model offers a dynamic method for reasoning about prior knowledge in adaptive e-learning systems. (Contains 1 figure and 1 table.) (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10