Minneapolis, MN
August 23, 2022
June 26, 2022
June 29, 2022
8
10.18260/1-2--41109
https://peer.asee.org/41109
423
Electronic Engineer. PhD Student in Education. Visiting Scholar in the Computer & Information Technology Department at Purdue University.
With experience in Computer Science Education. Digital Skills Leader at ICT Ministry of Colombia.
Alejandra J. Magana is the W.C. Furnas Professor in Enterprise Excellence in Computer and Information Technology with a courtesy appointment in Engineering Education. She holds a B.E. in Information Systems and an M.S. in Technology, both from Tec de Monterrey; and an M.S. in Educational Technology and a Ph.D. in Engineering Education, both from Purdue University. Her research program investigates how model-based cognition in Science, Technology, Engineering, and Mathematics (STEM) can be better supported by means of expert tools and disciplinary practices such as data science computation, modeling, and simulation. In 2015 Dr. Magana received the National Science Foundation’s Faculty Early Career Development (CAREER) Award to investigate modeling and simulation practices in undergraduate engineering education. In 2016 she was conferred the status of Purdue Faculty Scholar for being on an accelerated path toward academic distinction.
This work in progress paper analyzes disciplinary teachers’ self-efficacy beliefs in Computational Thinking (CT) during a professional development program on (CT). The increasing number of professional development programs to promote the integration of CT into the curricula brings the challenge of understanding how to effectively assess them. The research team designed, implemented, and assessed a 20-hour professional development program to incorporate computational practices into disciplinary learning environments at the K-12 level in Colombia. In total, 101 in-service teachers from Colombian public middle and high schools participated in this program. We used the learning progression use-modify-create as the pedagogical framework to scaffold participants’ learning process. The participating teachers completed a pretest and a post-test regarding their experience in the program, their self-efficacy beliefs in CT, and their understanding of CT concepts. As a final project of the program, the participating teachers presented a lesson plan to integrate computational thinking skills into their disciplinary courses. This lesson plan was assessed using a rubric including criteria such as the context, the learning outcomes, the assessment strategy, the pedagogical strategies, and the alignment among these components.
Espinal, A., & Magana, A., & Vieira, C. (2022, August), Assessment of a professional development program on computational thinking for disciplinary teachers Paper presented at 2022 ASEE Annual Conference & Exposition, Minneapolis, MN. 10.18260/1-2--41109
ASEE holds the copyright on this document. It may be read by the public free of charge. Authors may archive their work on personal websites or in institutional repositories with the following citation: © 2022 American Society for Engineering Education. Other scholars may excerpt or quote from these materials with the same citation. When excerpting or quoting from Conference Proceedings, authors should, in addition to noting the ASEE copyright, list all the original authors and their institutions and name the host city of the conference. - Last updated April 1, 2015