WIP: Mechanisms of Change - A Mixed-Methods Analysis of the Outcomes of a Computational Thinking Professional Development Program

This work-in-progress research paper reflects on findings from a program evaluation of a nationwide professional development (PD) initiative designed to enhance computational thinking (CT) skills among teachers in Colombia's public schools. Evaluating CT education programs presents challenges due to the limited research on the validity and reliability of data collection tools. In addition, evaluation of PD programs in CT often overlooks affective factors and fails to align with program outcomes beyond the training context, leading to insufficient evidence of their effectiveness. This study seeks to identify the factors that influence the effective implementation of CT teaching practices and contribute to the body of knowledge of professional development programs. Using a sequential mixed-methods approach, we first conducted pre-post surveys to assess changes in teachers' knowledge, followed by realist-based focus group discussions to gain deeper insights into participants' experiences and the factors influencing classroom implementation. The primary contribution of this paper is providing insights into the underlying mechanisms driving changes in teachers' practices after participating in a CT-focused PD program in a middle-income country. Preliminary results indicate significant improvements in teachers' CT knowledge post-intervention. Qualitative findings highlight the importance of teachers' confidence in their CT knowledge and the need for comprehensive school support for effective CT integration.

Authors

Institutions

Publication Details

Published
2024-10-13
DOI
https://doi.org/10.1109/fie61694.2024.10893070
Primary Topic
Teaching and Learning Programming
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

WIP: Mechanisms of Change - A Mixed-Methods Analysis of the Outcomes of a Computational Thinking Professional Development Program

Giuseppe De Rosa, Juan David Parra, Camilo Vieira, Mariana Arboleda
Teaching and Learning Programming
article

WIP: Mechanisms of Change - A Mixed-Methods Analysis of the Outcomes of a Computational Thinking Professional Development Program

Giuseppe De Rosa, Juan David Parra, Camilo Vieira, Mariana Arboleda
article en

Abstract

This work-in-progress research paper reflects on findings from a program evaluation of a nationwide professional development (PD) initiative designed to enhance computational thinking (CT) skills among teachers in Colombia's public schools. Evaluating CT education programs presents challenges due to the limited research on the validity and reliability of data collection tools. In addition, evaluation of PD programs in CT often overlooks affective factors and fails to align with program outcomes beyond the training context, leading to insufficient evidence of their effectiveness. This study seeks to identify the factors that influence the effective implementation of CT teaching practices and contribute to the body of knowledge of professional development programs. Using a sequential mixed-methods approach, we first conducted pre-post surveys to assess changes in teachers' knowledge, followed by realist-based focus group discussions to gain deeper insights into participants' experiences and the factors influencing classroom implementation. The primary contribution of this paper is providing insights into the underlying mechanisms driving changes in teachers' practices after participating in a CT-focused PD program in a middle-income country. Preliminary results indicate significant improvements in teachers' CT knowledge post-intervention. Qualitative findings highlight the importance of teachers' confidence in their CT knowledge and the need for comprehensive school support for effective CT integration.

Universidad del Norte (CO), Erasmus University Rotterdam (NL)
British Council, Ministry of Education
Openalex Percentile: Top 70%
Teaching and Learning Programming
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.