Evolution of STEM-Driven Computer Science Education

Vytautas Štuikys is a Professor-emeritus. He holds PhD and doctor habilitatus degrees in Software Engineering. and Computer Science. His research interests include automated design (including STEM-driven systems and components) using high-level models and approaches (including AI-based ones). He has published more than 150 papers in the international Journals and Conference Proceedings. He is an author (co-author) of four monographs published by Springer Nature.Renata Burbaitė, PhD, is an Informatics (Computer Science, Robotics) teacher at school and an Assoc. Professor at the Software Engineering Department of Kaunas University of Technology. Her research interests include smart education system design, Computer Science (CS) educational domain modelling, STEM-oriented robot-based CS education methodologies. She organizes seminars and workshops for the country's informatics teachers and serves on the assessment board of the State matriculation exam in information technology. She is a co-author of more than 40 research papers and monographs, Smart STEM-Driven Computer Science Education: Theory, Methodology, and Robot-Based Practices”, published by Springer in 2018, and of 4 textbooks for high school students.

• 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.