Session Information
10 SES 14 B, Pre-service Teacher Selection: An Evidence-based Framework.
Symposium
Contribution
Internationally, demand is increasing for initial-teacher educators to demonstrate the effectiveness of their programs and courses in preparing the next generation of teachers. The demand for high quality entrants into the profession means that governments need to see evidence of the impact that ITE courses are having on both teacher readiness and teacher effectiveness. As indicated in earlier parts of this symposium, The University of Melbourne has developed a research-based approach to the selection of candidates into ITE. However, as the need increases to examine impact, the University now sees the potential for the model to go beyond the assessment of candidate suitability to providing supportive evaluative feedback to improve the practice of the pre-service teacher. In addition, it can provide teacher educators with information about the levers to use in the provision of guidance and feedback. Across the profession, this information is an initial step in providing a greater understanding of what makes a successful teaching graduate. The final presentation in this symposium will situate TeacherSelector into a comprehensive framework of selection that promotes a cycle of evaluation that is useful, accurate, and accountable. It will also reflect on learnings from TeacherSelector both in Australia and internationally and how these learnings will be applied as the model evolves from selection through to assessment at course entry (benchmarking), exit (readiness to teach) and beyond, promoting career long reflection for the teacher and teacher education.
References
Australian Institute for Teaching and School Leadership. (2010). National Professional Standards for Teachers. Received from http://www.teacherstandards.aitsl.edu.au/ Beiri, C., & Shuler, P. (2011). Cross-curricular competencies of student teachers: A selection based on assessment centre admission tests study success after the first year of teacher training. Assessment and Evaluation in Higher Education, 36(4), 344-415. Bowles, T., Hattie, J., Dinham, S., Scull, J., & Clinton, J. (2014). Proposing a comprehensive model for identifying teaching candidates. The Australian Educational Researcher, 41(4), 365-380. doi: 10.1007/s13384-014-0146-z Dinham, S., Ingvarson, L., Kleinhenz, E. (2008). Investing in Teacher Quality: Doing what matters most. Business Council of Australia. Hattie, J. (2008). Visible Learning: A Synthesis of Over 800 Meta-Analyses Relating to Achievement. New York: Routledge. Kuncel, N.R., Hezlett, S.A., & Ones, D.S. (2001). A comprehensive meta-analysis of the predictive validity of the Graduate Record Examinations: Implications for graduate student selection and performance. Psychological Bulletin, 127(1), 162-181. Metzger, S. A., & Wu, M. (2008). Commercial Teacher Selection Instruments: The Validity of Selecting Teachers Through Beliefs, Attitudes, and Values. Review of Educational Research, 78(4), 921-940.
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