Info
Guide to Teaching Computer Science : An Activity-Based Approach / / by Orit Hazzan, Noa Ragonis, Tami Lapidot
| Guide to Teaching Computer Science : An Activity-Based Approach / / by Orit Hazzan, Noa Ragonis, Tami Lapidot |
| Autore | Hazzan Orit <1962-> |
| Edizione | [3rd ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xx, 407 pages) : illustrations |
| Disciplina | 371.3 |
| Soggetto topico |
Education - Data processing
Teachers - Training of Science - Study and teaching Computers and Education Teaching and Teacher Education Science Education |
| ISBN | 3-030-39360-7 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction—What Is this Guide About? -- Active Learning and the Active-Learning-Based Teaching Model -- Overview of the Discipline of Computer Science -- Computational Thinking -- Computer Science Soft Concepts and Soft Skills -- Data Science and Computer Science Education -- Research in Computer Science Education -- Problem-Solving Strategies -- Learners’ Alternative Conceptions -- Teaching Methods in Computer Science Education -- Lab-Based Teaching -- Types of Questions in Computer Science Education -- Assessment -- Teaching Planning -- Design of Methods of Teaching Computer Science Courses -- Getting Experience in Computer Science Education -- High School Computer Science Teacher Preparation Programs -- Epilogue. |
| Record Nr. | UNINA-9910416083203321 |
Hazzan Orit <1962->
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Guide to teaching data science : an interdisciplinary approach / / Orit Hazzan and Koby Mike
| Guide to teaching data science : an interdisciplinary approach / / Orit Hazzan and Koby Mike |
| Autore | Hazzan Orit <1962-> |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] |
| Descrizione fisica | 1 online resource (xxvii, 321 pages) : illustrations (black and white, and colour) |
| Disciplina | 006.312 |
| Soggetto topico |
Big data - Study and teaching
Data mining - Study and teaching Database management - Study and teaching Electronic data processing - Study and teaching |
| ISBN | 3-031-24758-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Overview of Data Science and Data Science Education -- Chapter 1. Introduction -- Chapter 2. What is data science -- Chapter 3. Introduction to data science education -- Chapter 4. Data science thinking -- Part II: Challenges of Data Science Education -- Chapter 5. The pedagogical challenge of data science education -- Chapter 6. Data science education and the variety of learners -- Chapter 7. The interdisciplinarity challenge -- Chapter 8. Data science skills -- Part III: Data science Teaching frameworks -- Chapter 9. Teacher Preparation - the Method for Teaching Data Science course -- Chapter 10. Data Science for Social Science -- Chapter 11. Conclusion. |
| Record Nr. | UNISA-996546834703316 |
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Hazzan Orit <1962->
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| Cham, Switzerland : , : Springer Nature Switzerland AG, , [2023] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Guide to Teaching Data Science : An Interdisciplinary Approach / / by Orit Hazzan, Koby Mike
| Guide to Teaching Data Science : An Interdisciplinary Approach / / by Orit Hazzan, Koby Mike |
| Autore | Hazzan Orit <1962-> |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (xxvii, 321 pages) : illustrations (black and white, and colour) |
| Disciplina | 006.312 |
| Soggetto topico |
Artificial intelligence - Data processing
Teaching Quantitative research Education - Data processing Algorithms Data Science Didactics and Teaching Methodology Data Analysis and Big Data Computers and Education |
| ISBN |
9783031247583
3031247582 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Part I: Overview of Data Science and Data Science Education -- Chapter 1. Introduction -- Chapter 2. What is data science -- Chapter 3. Introduction to data science education -- Chapter 4. Data science thinking -- Part II: Challenges of Data Science Education -- Chapter 5. The pedagogical challenge of data science education -- Chapter 6. Data science education and the variety of learners -- Chapter 7. The interdisciplinarity challenge -- Chapter 8. Data science skills -- Part III: Data science Teaching frameworks -- Chapter 9. Teacher Preparation - the Method for Teaching Data Science course -- Chapter 10. Data Science for Social Science -- Chapter 11. Conclusion. |
| Record Nr. | UNINA-9910682565503321 |
|
Hazzan Orit <1962->
|
||
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||