Assessing Students' Self-Assessment Ability in an Interdisciplinary Domain

Autor/inn/en	Alturki, Sarah; Stuckenschmidt, Heiner
Titel	Assessing Students' Self-Assessment Ability in an Interdisciplinary Domain
Quelle	In: Journal of Applied Research in Higher Education, 14 (2022) 4, S.1449-1465 (17 Seiten) PDF als Volltext Verfügbarkeit
Zusatzinformation	ORCID (Alturki, Sarah)
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	2050-7003
DOI	10.1108/JARHE-01-2021-0034
Schlagwörter	Interdisciplinary Approach; Self Evaluation (Individuals); Prediction; Academic Achievement; Correlation; Comparative Analysis; Information Science Education; Business Administration Education; Mathematics Education; Masters Programs; Time Management; Instructional Design; Higher Education; Graduate Students; Student Attitudes; Foreign Countries; Germany + Suchen Sie Ihr Suchwort? Fächerübergreifender Unterricht; Fächerverbindender Unterricht; Interdisziplinarität; Vorhersage; Schulleistung; Korrelation; Informationstechnologische Bildung; Mathematische Bildung; Magister course; Magisterstudiengang; Zeitmanagement; Lesson concept; Lessonplan; Unterrichtsentwurf; Hochschulbildung; Hochschulsystem; Hochschulwesen; Graduate Study; Student; Students; Aufbaustudium; Graduiertenstudium; Hauptstudium; Studentin; Schülerverhalten; Ausland; Deutschland
Abstract	Purpose: The purpose of this study is to determine whether students' self-assessment (SSA) could be used as a significant attribute to predict students' future academic achievement. Design/methodology/approach: The authors address how well students can assess their abilities and study the relationship between this ability and demographic properties and previous study performance. The authors present the study results by measuring the relationship between the SSA across five different topics and comparing them with the students' performance in these topics using short tests. The test has been voluntarily taken by more than 300 students planning to enroll in the School of Business Informatics and Mathematics master's programs at the University of Mannheim. Findings: The study results reveal which attributes are mostly associated with the accuracy level of SSA in higher education. The authors conclude that SSA, it can be valuable in predicting master's students' academic achievement when taking specific measures when designing the predictive module. Research limitations/implications: Due to time constraints, the study was restricted only to students applying to master's programs at the Faculty of Business Informatics and Mathematics at the University of Mannheim. This resulted in collecting a limited data set. Also, the scope of this study was restricted to testing the accuracy of SSA and did not test using it as an attribute for predicting students' academic achievement. Originality/value: Predicting students' academic performance in higher education is beneficial from different perspectives. The literature reveals that a considerable amount of work is published to analyze and predict academic performance in higher education. However, most of the published work relies on attributes such as demographics, teachers' assessment, and examination scores for performing their prediction while neglecting the use of other forms of evaluation such as SSA or self-evaluation. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2024/1/01