Evolution of STEM-Driven Computer Science Education The Perspective of Big Concepts /
The book discusses the evolution of STEM-driven Computer Science (CS) Education based on three categories of Big Concepts, Smart Education (Pedagogy), Technology (tools and adequate processes) and Content that relates to IoT, Data Science and AI. For developing, designing, testing, delivering and as...
I tiakina i:
| Ngā kaituhi matua: | , |
|---|---|
| Kaituhi rangatōpū: | |
| Hōputu: | Tāhiko īPukapuka |
| Reo: | Ingarihi |
| I whakaputaina: |
Cham :
Springer Nature Switzerland : Imprint: Springer,
2024.
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| Putanga: | 1st ed. 2024. |
| Ngā marau: | |
| Urunga tuihono: | https://doi.org/10.1007/978-3-031-48235-9 |
| Ngā Tūtohu: |
Tāpirihia he Tūtohu
Kāore He Tūtohu, Me noho koe te mea tuatahi ki te tūtohu i tēnei pūkete!
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Rārangi ihirangi:
- Context and model for writing this book: An idea of big concepts
- Part 1: Pedagogical aspects of STEM-driven CS education evolution: Integrated STEM-CS Skills model, personalisation aspects and collaborative learning
- Models for the development and assessment of Integrated STEM (ISTEM) Skills: A case study
- Enforcing STEM-driven CS education through personalisation
- Personal generative libraries for personalised learning: A case study
- Enforcing STEM-driven CS education through collaborative learning
- Part 2: Internet of Things (IoT) and Data Science (DS) concepts in K-12 STEM-driven CS education.-Methodological aspects of educational internet of things
- Multi-stage prototyping for introducing IoT concepts: A case study
- Introducing data science concepts into STEM-driven computer science education
- Part 3: Introduction to artificial intelligence
- A vision for introducing AI topics: A case study
- Speech recognition technology in K-12 STEM-driven computer science education
- Introduction to artificial neural networks and machine learning
- Overall evaluation of this book concepts and approaches.