Predicting Performance And Motivation In Teacher Education – The Role Of Opportunities To Learn, Intrinsic Needs And Perceived Self-efficacy.
Author(s):
Denise Depping (presenting / submitting) Timo Ehmke
Conference:
ECER 2017
Format:
Paper

Session Information

10 SES 07 E, Professional Knowledge & Teacher Identity: Self-efficacy

Paper Session

Time:
2017-08-23
17:15-18:45
Room:
K5.02
Chair:
Aileen Kennedy

Contribution

An important aim of research in the field of teacher education is to examine factors that contribute to teacher professionalization, because in the long term, teachers’ expertise is related to students’ performance level in school (cf. Darling-Hammond, 2000a).

One model of teacher expertise proposes the following components as important factors for the development of expertise: beliefs (e.g. perceived self-efficacy with regard to teaching), motivational orientations (e.g. career choice motivation), self-regulation and professional knowledge (e.g. general pedagogical knowledge) (Baumert & Kunter, 2006).

In general, perceived self-efficacy is considered to have an impact on motivational processes and performance. The most important and most effective source for the development of self-efficacy is to master challenges (Bandura, 1997). In the context of teaching, self-efficacy is associated with more enthusiasm and better preparation, as well as more effective implementation of instruction (Baumert & Kunter, 2006). Another construct that has a certain overlap with self-efficacy is the self-determination theory (Deci & Ryan, 1985), in which three intrinsic needs are assumed: 1) The need for competence “leads people to seek and conquer challenges that are optimal for their capacities” (Deci & Ryan, 1985, p.28). Gaining mastery of tasks is very closely connected to a feeling of self-efficacy because perceived self-efficacy is based on experiences of previous success or failure (Schwarzer & Jerusalem, 1999); 2) The need for autonomy relates to the need to be in control of one’s own actions, which means to be self-initiating and self-regulating; 3) Psychological relatedness describes the need to establish meaningful connections with others and to experience a sense of belonging.

The fulfillment of these needs promotes intrinsic motivation and additionally can lead to better learning outcomes (Deci & Ryan, 1985). A source for those experiences can be opportunities to learn, such as educational coursework, internships or pedagogical experience (e.g. giving private lessons) outside university. They are also considered to be critical determinants for teacher professionalization (König & Seifert, 2012).

In a study conducted by Holzberger and colleagues, a high perceived self-efficacy and the fulfillment of intrinsic needs predict a more professional behavior of teachers (Holzberger, Philipp & Kunter, 2014). Darling-Hammond gives an overview of several studies in which relations between teacher education and general pedagogical and psychological knowledge have been found (cf. Darling-Hammond, 2000b). Furthermore, student teachers who have pedagogical experience outside teacher training are more intrinsically motivated, more likely to complete teacher training and they stay in the teaching profession at higher rates (Mayr, 2009). Regarding effects of career choice motivations, Blüthmann and collegues (2011) summarize different studies that report positive relations between intrinsic career choice motivation (esp. pedagogical interest) and the acquisition of knowledge, as well as the cognitive processing depth in initial teacher education (Blüthmann, Ophardt, Thiel, & Felsberger, 2011).

The question is: “what kinds of learning opportunities promote self-efficacy and contribute to more sophisticated general pedagogical knowledge as well as greater intrinsic motivation?” To answer this question, this paper focuses on the relationships between opportunities to learn (OTL), student teachers’ perceived self-efficacy, their career choice motivation, their professional vision of lessons and their general pedagogical knowledge (GPK) in the domain of teaching.

Based on theoretical assumptions and empirical findings, the following research questions are derived: 1) “Are educational coursework, internships at university and giving private lessons outside university appropriate predictors of a) general pedagogical knowledge, b) professional vision of lesson design, c) intrinsic career choice motivation and d) self-efficacy with regard to teaching?” 2) “Does self-efficacy function as a mediator between opportunities to learn and general pedagogical knowledge, professional vision as well as career choice motivation?”

Method

In order to examine the relationship among these variables, N = 274 student teachers of the Leuphana University Lueneburg participated at the beginning of the winter semester 2015 in the study “Learning development processes in university teacher education” (“LeveL,” Lernentwicklungsverläufe im Lehramtsstudium). “LeveL” is a longitudinal, evidence-based monitoring project that started in 2014. Nearly 90% of the respondents at the second measurement time were female, and 95% of them reported that German was their first language. The average age of the sample was 23 years. Student teachers were shown a video-vignette of a mathematics lesson twice and were then asked to rate the teaching quality in regards to pedagogical aspects. Following this, they answered questions in a test of teaching expertise regarding, for example, issues of classroom management, student motivation and teaching methods. Furthermore, all respondents filled in questionnaires regarding opportunities to learn, perceived self-efficacy and career choice motivation. The video test comprises one open-ended and ten closed-ended items (4 point Likert-scale, α = .79, e.g. “The teacher gives supportive feedback.”). The pedagogical/psychological expertise test contains 11 open- and 7 closed-ended items from large scale assessments (e.g. TEDS-M, Blömeke, 2010, LEK, König & Seifert, 2012) that were partially modified as well as items that were newly developed (e.g. “Which are the necessary requirements so that students can engage in self-directed learning?”) (α = .75). Items for opportunities to learn were constructed by thematizing different fields of teaching knowledge in educational coursework at Leuphana University (9 items, 5 point scale, α = .91, e.g. “Analysis of teaching units”). Moreover, the number of university internships were measured. Additionally, the student teachers were ask to rate the degree of self-determination they experienced (fulfillment of needs for competence, autonomy and relatedness) in the internship in which they were most involved in teaching (9 items, 4 point Likert-scale, α = .89, e.g. “In my internship, my work was acknowledged.”). Moreover, non-university opportunities to learn were investigated (5 point scale, e.g. “I have experience in teaching [e.g. giving private lessons]”.). Perceived self-efficacy was examined with 9 items on a 4 point Likert-scale (α = .75, e.g. “I am confident I can enthuse students with new projects.”) (Schmitz & Schwarzer, 2000). The scale of intrinsic career choice motivation comprises 10 items (4 point Likert-scale, α = .72, e.g. “I chose to study teaching because I can explain facts well.”) (Pohlmann & Möller, 2000).

Expected Outcomes

Because the number of attended educational coursework and the number of completed internships at university were strongly confounded, the degree of fulfilled intrinsic needs in the internship was used instead. Moreover, the satisfaction of intrinsic needs seemed to be a better predictor for the most target variables. Path analysis conducted for each target variable separately show that educational coursework is the best predictor for GPK (β=.29, p<.01), followed by the fulfillment of intrinsic needs in internships (β=.15, p<.05). Teaching experience outside university does not contribute to GPK (β=.06, n.s.). The fulfillment of intrinsic needs in internships is the best predictor for professional vision regarding lesson design (β=.15, p<.05). Teaching experience outside university is revealed as an inappropriate predictor, only showing a modest positive trend (β=.13, p<.1). Nor do effects from educational coursework meet statistical significance (β=.12, n.s.). However, in regards to perceived self-efficacy and intrinsic career choice motivation, teaching experience outside university is the best predictor (β=.25, p<.01 and β=.24, p<.01), followed by the fulfillment of intrinsic needs in university internships (β=.23, p<.01 and β=11., n.s.) and attending educational courses (β=.17, p<.01 and β=.11, n.s.).When perceived self-efficacy is inserted as a mediator and all three target variables are taken into account, effects from the fulfillment of intrinsic needs in university internships and educational coursework on intrinsic career choice motivation are fully mediated. Effects are partially mediated for non-university teaching experience, meaning that there remains a small direct effect (β = .12, p = .05). Effects on professional vision are fully mediated for all three predictors but the specific indirect effect for educational coursework does not meet statistical significance (β=.04, p<.1). Effects on general pedagogical knowledge are not mediated through perceived self-efficacy. The findings and implications for teacher education as well as the limitations of the paper will be critically discussed.

References

Bandura, A. (1997). Self-efficacy: The exercise of control. New York: Freeman. Baumert, J., & Kunter, M. (2006). Stichwort: Professionelle Kompetenz von Lehrkräften. Zeitschrift für Erziehungswissenschaft, 9(4), 469–520. Blömeke, S. (Ed.). (2010). TEDS-M 2008: Professionelle Kompetenz und Lerngelegenheiten angehender Mathematiklehrkräfte für die Sekundarstufe I im internationalen Vergleich. Münster [u.a.]: Waxmann. Blüthmann, I., Ophardt, D., Thiel, F., & Felsberger, G. (2011). Wissenserwerb zum Thema Klassenmanagement im Lehramtsstudium: Individuelle und studienbezogene Einflussfaktoren. Unterrichtswissenschaft, 39(4), 290–309. Darling-Hammond, L. (2000a). Teacher Quality and Student Achievement: A Review of State Policy Evidence. Education Policy Analysis Archives (EPAA), 8(1), 1–44. Darling-Hammond, L. (2000b). How Teacher Education Matters. Journal of Teacher Education, 51(3), 166–173. Deci, E. L., & Ryan, R. M. (1985). Intrinsic motivation and self-determination in human behavior. Perspectives in social psychology. New York: Plenum. Holzberger, D., Philipp, A., & Kunter, M. (2014). Predicting teachers’ instructional behaviors: The interplay between self-efficacy and intrinsic needs. Contemporary Educational Psychology, 39(2) 100-111. König, J., & Seifert, A. (Eds.). (2012). Lehramtsstudierende erwerben pädagogisches Professionswissen: Ergebnisse der Längsschnittstudie LEK zur Wirksamkeit der erziehungswissenschaftlichen Lehrerausbildung. Münster: Waxmann. Mayr, J. (2009). Studien- und Berufswahlmotive von Lehrpersonen. Wie sie entstehen, wie sie sich verändern und was sie bewirken. Kommentierte Folien zum Referat bei der 5. Tagung der Sektion „Empirische Bildungsforschung" der Deutschen Gesellschaft für Erziehungswissenschaft in Landau, 24. März 2009 Pohlmann, B., & Möller, J. (2010). Fragebogen zur Erfassung der Motivation für die Wahl des Lehramtsstudiums (FEMOLA)1. Zeitschrift für Pädagogische Psychologie, 24(1), 73–84. Schmitz, G. S., & Schwarzer, R. (2000). Selbstwirksamkeitserwartung von Lehrern: Längsschnittbefunde mit einem neuen Instrument. Zeitschrift für Pädagogische Psychologie, 14(1). Schwarzer, R., & Jerusalem, M. (1999). Skalen zur Erfassung von Lehrer- und Schülermerkmalen: Dokumentation der psychometrischen Verfahren im Rahmen der Wissenschaftlichen Begleitung des Modellversuchs Selbstwirksame Schulen. Berlin: R. Schwarzer.

Author Information

Denise Depping (presenting / submitting)
Leuphana Universität Lüneburg
Lüneburg
Leuphana Universität Lüneburg
Education
Lüneburg

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