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

Fotis Lazarinis, Anthi Karatrantou, Christos Panagiotakopoulos, Vassilis Daloukas, Theodor Panagiotakopoulos

Research output: Contribution to journalArticlepeer-review


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.
Original languageEnglish
Pages (from-to)187-200
JournalAdvances in Mobile Learning Educational Research
Issue number1
Publication statusPublished - 2022


Dive into the research topics of 'Strengthening the coding skills of teachers in a low dropout Python MOOC'. Together they form a unique fingerprint.

Cite this