ERIC Number: EJ1248793
Record Type: Journal
Publication Date: 2019-Jun
Pages: 24
Abstractor: As Provided
ISBN: N/A
ISSN: EISSN-1946-6226
EISSN: N/A
Computer Science Pedagogical Content Knowledge: Characterizing Teacher Performance
Yadav, Aman; Berges, Marc
ACM Transactions on Computing Education, v19 n3 Article 29 Jun 2019
Computer science education efforts are expanding across the globe to equip students with the necessary computing skills for today's digital world. However, preparing students to become literate in computing activities requires the training of tens of thousands of teachers in computer science. The discrepancy between student needs and teacher preparation in computer science has raised questions of quality teachers, particularly for teachers who do not possess adequate content or pedagogical knowledge to teach computer science efficiently. To address this issue, we designed an instrument to measure knowledge needed to teach computer science (i.e., computer science pedagogical content knowledge). Results exhibited that our instrument measured aspects of teachers' computer science pedagogical content knowledge; however, teachers' prior background in teaching did not influence their performance. We discuss implications for future research and practice.
Descriptors: Computer Science Education, Pedagogical Content Knowledge, Computer Literacy, Knowledge Level, Teacher Competencies, Prior Learning, Test Construction, Elementary Secondary Education, Programming, Teaching Experience
Association for Computing Machinery. 2 Penn Plaza Suite 701, New York, NY 10121. Tel: 800-342-6626; Tel: 212-626-0500; Fax: 212-944-1318; e-mail: acmhelp@acm.org; Web site: http://toce.acm.org/
Publication Type: Journal Articles; Reports - Research; Tests/Questionnaires
Education Level: Elementary Secondary Education
Audience: N/A
Language: English
Sponsor: National Science Foundation (NSF)
Authoring Institution: N/A
Grant or Contract Numbers: 1502462