ERIC Number: EJ1344087
Record Type: Journal
Publication Date: 2022
Pages: 23
Abstractor: As Provided
ISBN: N/A
ISSN: ISSN-0924-3453
EISSN: EISSN-1744-5124
Available Date: N/A
Unravelling the Challenges of the Data-Based Approach to Teaching Improvement
School Effectiveness and School Improvement, v33 n1 p125-147 2022
The goal of this article is to clarify and unravel the complexity and challenges of improving teaching quality, based on measuring teaching quality and feeding back the results to teachers. We analyze different conceptualizations of teaching quality, and synthesize a framework for conceptualizing teaching quality in educational practice. We explain the pros and cons of four types of instruments for measuring teaching quality. Next, we scrutinize the requirements of effectively feeding back teaching quality data and the requirements for effective actions to improve teaching quality. We conclude with implications for improving the consequential validity of teaching quality measurements.
Descriptors: Instructional Improvement, Teacher Effectiveness, Feedback (Response), Measurement, Formative Evaluation, Value Added Models, Self Evaluation (Individuals), Teacher Evaluation, Observation, Validity, Student Evaluation of Teacher Performance
Routledge. Available from: Taylor & Francis, Ltd. 530 Walnut Street Suite 850, Philadelphia, PA 19106. Tel: 800-354-1420; Tel: 215-625-8900; Fax: 215-207-0050; Web site: http://www.tandf.co.uk/journals
Publication Type: Journal Articles; Reports - Evaluative
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Grant or Contract Numbers: N/A
Author Affiliations: N/A