Designing a Mooc on Computational Thinking, Programming and Robotics for Early Childhood Educators and Primary School Teachers
A Pilot Test Evaluation
Bibliographic Data
| ID | 22046607 |
|---|---|
| Authors | Lúcia Amante (0000-0003-3210-7980, Universidade Aberta, corresponding author), Elizabeth Batista Souza (0000-0003-0723-5729, Universidade Aberta), António Quintas Mendes (0000-0003-1086-2600, Universidade Aberta), Maribel Dos Santos Miranda-Pinto (0000-0003-0813-1497, Universidade Aberta) |
| Year | 2023 |
| Volume | 13 |
| Issue | 9 |
| Pages | 863 |
| Publication date | 2023-08-23 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Education Sciences (JOURNAL) |
| Journal identifiers | ISSN: 2227-7102 • E-ISSN: 2227-7102 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/educsci13090863 |
| OpenAlex | W4386142290 |
| Language | EN |
| Citations received | 3 |
| References cited | 20 |
This study focuses on developing and evaluating an online course aimed at preschool educators and primary school teachers. It presents a Massive Open Online Course (MOOC) on computational thinking, programming and robotics developed as part of the project “Laboratory for Technology and Programming and Robotics Learning in Primary and Preschool Education in Portugal (KML II)” The MOOC design was inspired by a blended learning model used in teacher professional development at the project’s inception and incorporates theoretical-pedagogical models of MOOC design as well as theoretical models of online interaction in virtual educational environments. The course will be offered on the NAU platform, a Portuguese MOOC platform. A pilot test was conducted with a purposive sample that included both participants from the target audience of the course as well as national and international experts specialised in these domains. The evaluation included a Likert scale questionnaire survey and open-ended questions. The results aim to validate the MOOC’s quality, including its structure, content relevance, proposed activities, and learning design. The findings provide evidence to improve the final version of the MOOC, contributing to its effectiveness and adequacy to the target audience
Computational Thinking · Instructional design · Likert scale · Massive open online course · Mathematics education · Multimedia · Online learning · Robot · Robotics · Computer Science · E-Learning and Knowledge Management · Online Learning and Analytics · Psychology · Teaching and Learning Programming · Artificial Intelligence
| Unique citing works | 3 |
|---|---|
| Citations per year | 1 |
| Citation span | 2023 - 2025 (3) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 2 |