Computer-Adaptive Testing: Implications for Students' Achievement, Motivation, Engagement, and Subjective Test Experience

Autor/inn/en	Martin, Andrew J.; Lazendic, Goran
Titel	Computer-Adaptive Testing: Implications for Students' Achievement, Motivation, Engagement, and Subjective Test Experience
Quelle	In: Journal of Educational Psychology, 110 (2018) 1, S.27-45 (19 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0022-0663
DOI	10.1037/edu0000205
Schlagwörter	Computer Assisted Testing; Elementary School Students; Secondary School Students; Gender Differences; Instructional Program Divisions; Socioeconomic Status; Geographic Location; Predictor Variables; Foreign Countries; Academic Achievement; Student Motivation; Learner Engagement; Numeracy; Student Experience; Achievement Tests; School Size; Statistical Analysis; Statistical Significance; Australia + Suchen Sie Ihr Suchwort? Sekundarschüler; Geschlechterkonflikt; Socio-economic status; Sozioökonomischer Status; Prädiktor; Ausland; Schulleistung; Schulische Motivation; Rechenkompetenz; Studienerfahrung; Achievement test; Achievement; Testing; Test; Tests; Leistungsbeurteilung; Leistungsüberprüfung; Leistung; Testdurchführung; Testen; Statistische Analyse; Australien
Abstract	The present study investigated the implications of computer-adaptive testing (operationalized by way of multistage adaptive testing; MAT) and "conventional" fixed order computer testing for various test-relevant outcomes in numeracy, including achievement, test-relevant motivation and engagement, and subjective test experience. It did so among N = 12,736 Australian elementary (years 3 and 5) and secondary (years 7 and 9) school students. Multilevel modeling assessed the extent to which Level 1 (student) test condition (fixed order vs. adaptive), gender, and year group factors and Level 2 (school) socioeducational advantage, location, structure, and size factors predicted students' test-relevant outcomes. In terms of statistically significant main effects, students in the computer-adaptive testing condition generated lower achievement error rates (i.e., higher measurement precision). Other statistically significant computer-adaptive test effects emerged as a function of year-level and gender, with positive effects of computer-adaptive testing being relatively greater for females and older students: these students achieved more highly (year 9 students), reported higher test-relevant motivation and engagement (year 9 students), and reported more positive subjective test experience (females and year 9 students). These findings (a) confirm that computer-adaptive testing yields greater achievement measurement precision, (b) suggest some positive test-relevant motivation and engagement effects from computer-adaptive testing, (c) counter claims that computer-adaptive testing reduces students' test-relevant motivation, engagement, and subjective experience, and (d) suggest positive computer-adaptive testing effects for older students at a developmental stage when they are typically less motivated and engaged. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01