A Systematic Study of the Literature on Career Guidance Expert Systems for Students: Implications for ODL

Autor/inn/en	Gunwant, Shilpa; Pande, Jeetendra; Bisht, Raj Kishor
Titel	A Systematic Study of the Literature on Career Guidance Expert Systems for Students: Implications for ODL
Quelle	In: Journal of Learning for Development, 9 (2022) 3, S.492-508 (17 Seiten) PDF als Volltext kostenfreie Datei Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
Schlagwörter	Career Guidance; Technology Uses in Education; Artificial Intelligence; Distance Education; Algorithms; Decision Making; Computer System Design + Suchen Sie Ihr Suchwort? Berufsorientierung; Technology enhanced learning; Technology aided learning; Technologieunterstütztes Lernen; Künstliche Intelligenz; Distance study; Distance learning; Fernunterricht; Algorithm; Algorithmus; Decision-making; Entscheidungsfindung
Abstract	The continual evolution of employment opportunities in the present industrial era has raised the need for career-long expert advice. Similar to other fields, thankfully technology has come to our rescue in the area of career guidance also. This paper presents a systematic review of Expert Systems (ES) developed for career guidance, course selection and evaluation of students in the past ten years. The popular research databases Google Scholar and Science Direct were used for obtaining the relevant research papers through broad keywords. The keywords were refined to identify the articles related to rule-based, case-based and fuzzy logic-based ES used for career guidance. A total of twenty-five peer-reviewed relevant articles with full-text available online was selected for the final study. In order to avoid duplicity, technical reports and unreferenced literature were excluded. The review identifies the relatively high weight given by the researchers to rule-based systems owing to their simplicity and broad applicability. However, the relative merits and demerits of rule-based, case-based and fuzzy logic-based ES are highly dependent on the field of application. Nevertheless, ES find wide applications in the area of career guidance and have the potential to enhance the career guidance accessibility of the most remote students. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01