Literaturnachweis - Detailanzeige
Autor/in | Kim, Jin-Young |
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Titel | A Study of Perceptional Typologies on Computer Based Assessment (CBA): Instructor and Student Perspectives |
Quelle | In: Educational Technology & Society, 18 (2015) 2, S.80-96 (17 Seiten)Infoseite zur Zeitschrift
PDF als Volltext |
Sprache | englisch |
Dokumenttyp | gedruckt; online; Zeitschriftenaufsatz |
ISSN | 1436-4522 |
Schlagwörter | Computer Assisted Testing; Classification; Q Methodology; Undergraduate Students; Student Attitudes; College Faculty; Teacher Attitudes; Foreign Countries; Personality Traits; Student Characteristics; Teacher Characteristics; Blended Learning; Student Evaluation; User Satisfaction (Information); Interviews; Factor Analysis; South Korea Classification system; Klassifikation; Klassifikationssystem; Schülerverhalten; Fakultät; Lehrerverhalten; Ausland; Individual characteristics; Personality characteristic; Persönlichkeitsmerkmal; Schulnote; Studentische Bewertung; Benutzerfreundlichkeit; Interviewing; Interviewtechnik; Faktorenanalyse; Korea; Republik |
Abstract | This study explores and describes different viewpoints on Computer Based Assessment (CBA) by using Q methodology to identify perspectives of students and instructors and classify these into perceptional typologies. Thirty undergraduate students taking CBA courses and fifteen instructors adopting CBA into their curriculum at a university in Korea, were chosen as participants in this study. As a result of the study, firstly, four types of learners were identified and given the following descriptive labels: (I) CBA Dissatisfaction Type, (II) CBA Friendly Type, (III) Adjustment Seeker Type, and (IV) CBA Apprehensive Type. Secondly, three types of instructors were classified and given the following descriptive labels: (A) CBA Preferred Type, (B) Supplementary Need Type, and (C) Yes-But Mixed Type. Educational and pedagogical implications of these results are discussed in the context of CBA course design. (As Provided). |
Anmerkungen | International Forum of Educational Technology & Society. Athabasca University, School of Computing & Information Systems, 1 University Drive, Athabasca, AB T9S 3A3, Canada. Tel: 780-675-6812; Fax: 780-675-6973; Web site: http://www.ifets.info |
Erfasst von | ERIC (Education Resources Information Center), Washington, DC |
Update | 2020/1/01 |