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

Fotis Lazarinis | Zendy; Anthi Karatrantou | Zendy; Christos Panagiotakopoulos | Zendy; Vassilis Daloukas | Zendy; Theodor Panagiotakopoulos | Zendy

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

Author(s) -

Fotis Lazarinis,

Anthi Karatrantou,

Christos Panagiotakopoulos,

Vassilis Daloukas,

Theodor Panagiotakopoulos

Publication year - 2022

Publication title -

advances in mobile learning educational research

Language(s) - English

Resource type - Journals

ISSN - 2737-5676

DOI - 10.25082/amler.2022.01.003

Subject(s) - workload , python (programming language) , outreach , coding (social sciences) , computer science , mathematics education , multimedia , medical education , psychology , medicine , mathematics , political science , statistics , law , operating system

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.

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