Unterschiedlich motiviert für das Studium: Motivationale Profile von Studierenden und ihre Zusammenhänge mit demografischen Merkmalen, Lernverhalten und Befinden

Published on Jan 20, 2021
· DOI :10.3224/ZEHF.V4I1.06
Lena S. Kegel , Theresa Schnettler1
Estimated H-index: 1
+ 7 AuthorsCarola Grunschel8
Estimated H-index: 8
Source
Abstract
Leseprobe Leseprobe 2 ----- Zusammenfassung Auf der Basis eines multidimensionalen Verstandnisses von Studienmotivation wird ein Zusammenspiel motivationaler Variablen verschiedener Phasen des Studiums im Hinblick auf akademische Erfolgskriterien angenommen. Jedoch gibt es hierzu bislang keine empirische Evidenz. In der vorliegenden Studie wurde das Ziel verfolgt, das intraindividuelle Zusammenspiel intrinsischer und extrinsischer Studienwahlmotivation als Variablen der Studienvorphase sowie des akademischen Selbstkonzepts und der akademischen Selbstwirksamkeit als Variablen der Phase im Studium in Form motivationaler Profile von Studierenden aufzudecken. Ferner wurden Unterschiede zwischen Studierenden verschiedener motivationaler Profile hinsichtlich demografischer Merkmale, Bildungsmerkmalen, Lernverhalten (Anstrengung und Prokrastination) und Befinden (Studienzufriedenheit, Studienabbruchintention) ermittelt. An der Studie nahmen N = 1,426 Studierende der Studienbereiche MINT, Rechtswissenschaft, Wirtschaftswissenschaft und Erziehungswissenschaft teil. Mittels der Analyse latenter Profile wurden funf motivationale Profile ermittelt. Mannliche Studierende, jungere Studierende und Studierende jungerer Semester waren in Profilen mit hoheren Auspragungen der motivationalen Variablen starker vertreten. Insgesamt wiesen Studierende in Profilen mit hoherer im Vergleich zu moderater Studienmotivation ein gunstigeres Studierverhalten und geringere Studienabbruchintentionen auf. Der Beitrag stutzt die Relevanz, die motivationalen Prozessen fur gunstiges Lernverhalten und Studienabbruch zugeschrieben wird. Auch wenn ein Grosteil der Studierenden in diesem Beitrag eine hohe Studienmotivation berichtete, legen die Befunde nahe, Masnahmen zur Forderung von Studienmotivation fur Subgruppen von Studierenden in der Hochschulpraxis anzubieten. Schlusselworter: Studienmotivation, Anstrengung, Prokrastination, Studienzufriedenheit, Studienabbruchintention, Analyse latenter Profile ----- Different motivational profiles of university students and their relation to demographic characteristics, learning behavior, and study-related well-being Abstract On the basis of a multidimensional understanding of study motivation, an interplay of motivational variables of different study phases with regard to academic success is assumed. Yet, it lacks empirical evidence regarding this interplay. The aim of the present study was to uncover the intraindividual interplay of intrinsic and extrinsic study choice motivation representing variables of the pre-university phase and of academic self-concept and academic self-efficacy indexing variables of the study phase as combined in motivational profiles. Furthermore, we identified differences between students of the distinct motivational profiles with respect to demographic characteristics, educational characteristics, learning behavior (effort and procrastination), and well-being (study satisfaction, student dropout intention). The sample consisted of N = 1,426 students, enrolled in STEM, law, economics and educational science majors. Applying latent profile analysis, we identified five motivational profiles. Profiles expressing higher motivation were disproportionate for male students, younger students, and students of lower semesters. Overall, students in profiles with high compared to moderate study motivation showed more adaptive study behavior and lower student dropout intentions. The present study underlines the relevance attributed to motivational processes for adaptive learning behavior and student dropout intention. Although a large proportion of students reported high study motivation, our findings suggest that approaches to foster student motivation should be offered in higher education and address specific groups of students. Keywords: study motivation, effort, procrastination, study satisfaction, student dropout intention, latent profile analysis ----- Bibliographie: Kegel, Lena S./Schnettler, Theresa/Scheunemann, Anne/Baulke, Lisa/Thies, Daniel O./Dresel, Markus/Fries, Stefan/Leutner, Detlev/Wirth, Joachim/Grunschel, Carola: Unterschiedlich motiviert fur das Studium: Motivationale Profile von Studierenden und ihre Zusammenhange mit demografischen Merkmalen, Lernverhalten und Befinden, ZeHf – Zeitschrift fur empirische Hochschulforschung, 1-2020, S. 81-105. https://doi.org/10.3224/zehf.v4i1.06
References51
Newest
#1Stefan Janke (UMA: University of Mannheim)H-Index: 11
ABSTRACTEnrollment at university can be based on personal interests (intrinsically motivated) as well as financial prospects (extrinsically motivated). I investigate whether and how these qualities...
5 CitationsSource
#1John P. BeanH-Index: 13
26 CitationsSource
#1Theresa Schnettler (Bielefeld University)H-Index: 1
#2Julia Bobe (University of Paderborn)H-Index: 1
Last. Carola Grunschel (WWU: University of Münster)H-Index: 8
view all 5 authors...
The intraindividual process of study dropout, from forming dropout intention to deregistration, is of motivational nature. Yet typical studies investigate interindividual differences, which do not inform about intraindividual processes. Our study focused on the intraindividual process of forming dropout intention, and applied expectancy-value theory to analyze its motivational underpinnings. To expand research, we considered associations of intraindividual deviations in expectancy, intrinsic val...
12 CitationsSource
#1Sarah L. Ferguson (Rowan University)H-Index: 4
#2E. Whitney G. Moore (WSU: Wayne State University)H-Index: 10
Last. Darrell M. Hull (UNT: University of North Texas)H-Index: 9
view all 3 authors...
The present guide provides a practical guide to conducting latent profile analysis (LPA) in the Mplus software system. This guide is intended for researchers familiar with some latent variable mode...
38 CitationsSource
#1Z. Yasemin Kalender (University of Pittsburgh)H-Index: 6
#2Emily Marshman (Community College of Allegheny County)H-Index: 13
Last. Chandralekha Singh (University of Pittsburgh)H-Index: 47
view all 5 authors...
Gender differences in conceptual test performance and course grades for introductory physics students are mainly associated with students' self-efficacy.
15 CitationsSource
#1Jacquelynne S. Eccles (ACU: Australian Catholic University)H-Index: 157
#2Allan Wigfield (UMD: University of Maryland, College Park)H-Index: 81
Abstract Eccles and colleagues’ expectancy-value theory of achievement choice has guided much research over the last 40+ years. In this article, we discuss five “macro” level issues concerning the theory. Our broad purposes in taking this approach are to clarify some issues regarding the current status of the theory, make suggestions for next steps for research based in the theory, and justify our decision to call the theory Situated Expectancy-Value Theory (SEVT). First, we note how visual repr...
98 CitationsSource
#1Allan Wigfield (UMD: University of Maryland, College Park)H-Index: 81
#2Jacquelynne S. Eccles (UCI: University of California, Irvine)H-Index: 157
Abstract We discuss the development of Eccles, Wigfield, and colleagues' expectancy-value model of achievement motivation (now called SEVT for situated expectancy value theory) and review the research on the part of the model that concerns the development of children's expectancies and values and their relations to performance and activity choice. We focus primarily on subjective task value (STV), first discussing the definition of its different components (intrinsic value, attainment value, uti...
18 CitationsSource
#1Nathan C. Hall (McGill University)H-Index: 35
#2So Yeon Lee (McGill University)H-Index: 1
Last. Sonia Rahimi (McGill University)H-Index: 4
view all 3 authors...
To address the present research gap on relations between motivational beliefs, self-regulation failure, and psychological health in post-secondary faculty, the present study used associative latent growth modeling to longitudinally examine relationships between self-efficacy, procrastination, and burnout (emotional exhaustion) in faculty internationally. Findings from 3,071 faculty participants (70% female, 69 countries) over three time points (5–6 month lags) showed greater self-efficacy at bas...
8 CitationsSource
#1Laura Dörrenbächer-Ulrich (Saarland University)H-Index: 3
#2Antje Biermann (Saarland University)H-Index: 4
Last. Franziska Perels (Saarland University)H-Index: 13
view all 4 authors...
Zusammenfassung. Die Studienwahlmotivation angehender Lehrpersonen stellt einen wichtigen Pradiktor fur professionsbezogene Kompetenzmerkmale dar. Es lassen sich intrinsische und extrinsische Motiv...
5 CitationsSource
#1Martin Neugebauer (FU: Free University of Berlin)H-Index: 10
#2Ulrich HeubleinH-Index: 2
Last. Annabell Daniel (FU: Free University of Berlin)H-Index: 4
view all 3 authors...
Studienabbruche sind ein zentrales Themenfeld der Hochschulforschung wie der Bildungspolitik, das angesichts aktueller Entwicklungen zusatzlich an Relevanz gewinnt. Vor diesem Hintergrund vermittelt der Beitrag einen Uberblick zu den vier zentralen Fragen der Studienabbruchforschung: Wie viele Studierende brechen ihr Studium ab? Warum brechen sie ihr Studium ab? Was sind die Folgen eines Abbruchs? Wie konnen Studienabbruche verhindert werden? Gerahmt wird die Darstellung von einer Diskussion der...
17 CitationsSource
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