A tutorial on machine learning for interactive pedagogical systems
| Autor: | Ana Paiva, Samuel Mascarenhas, Francisco S. Melo |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
0209 industrial biotechnology
Computer science media_common.quotation_subject 02 engineering and technology Machine learning computer.software_genre lcsh:QA75.5-76.95 Field (computer science) Education Machine Learning Presentation 020901 industrial engineering & automation Artificial Intelligence 0202 electrical engineering electronic engineering information engineering media_common lcsh:Computer software business.industry Applied Mathematics Computer Graphics and Computer-Aided Design Human-Computer Interaction lcsh:QA76.75-76.765 Interactive Pedagogical Systems Key (cryptography) 020201 artificial intelligence & image processing lcsh:Electronic computers. Computer science Artificial intelligence lcsh:L business computer Software lcsh:Education |
| Zdroj: | International Journal of Serious Games, Vol 5, Iss 3 (2018) |
| ISSN: | 2384-8766 |
| DOI: | 10.17083/ijsg.v5i3.256 |
| Popis: | This paper provides a short introduction to the field of machine learning for interactive pedagogical systems. Departing from different examples encountered in interactive pedagogical systems—such as intelligent tutoring systems or serious games—we go over several representative families of methods in machine learning, introducing key concepts in this field. We discuss common challenges in machine learning and how current methods address such challenges. Conversely, by anchoring our presentation on actual interactive pedagogical systems, highlight how machine learning can benefit the development of such systems. |
| Databáze: | OpenAIRE |
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