Open Access Peer-reviewed Research Article

Strengthening the coding skills of teachers in a low dropout Python MOOC

Main Article Content

Fotis Lazarinis corresponding author
Anthi Karatrantou
Christos Panagiotakopoulos
Vassilis Daloukas
Theodor Panagiotakopoulos

Abstract

In this paper, we present a structured approach to developing an outreach program aimed at improving the coding abilities of pre- and in-service teachers. The paper presents the design and development decisions made using the ADDIE model. External evaluators assessed the material's quality, confirmed the estimated workload, and examined the material's relevance to the educational goals. Learners’ active participation was encouraged through multiple quizzes, and learners were assisted in their learning activities by means of practical examples. Based on the number of people who actually logged into the course, a completion rate of 70.84 percent is achieved. The paper presents and discusses the findings of an evaluation conducted with the assistance of experienced teachers and course participants.

Keywords
programming skills, coding, Python, teacher professional development, MOOC completion

Article Details

How to Cite
Lazarinis, F., Karatrantou, A., Panagiotakopoulos, C., Daloukas, V., & Panagiotakopoulos, T. (2022). Strengthening the coding skills of teachers in a low dropout Python MOOC. Advances in Mobile Learning Educational Research, 2(1), 187-200. https://doi.org/10.25082/AMLER.2022.01.003

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