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Applications of machine learning and artificial intelligence in education / Seda Khadimally, editor.
- Format:
- Book
- Language:
- English
- Subjects (All):
- Artificial intelligence--Educational applications.
- Artificial intelligence.
- Machine learning.
- Computer-assisted instruction.
- Physical Description:
- 24 PDFs (271 pages) : illustrations
- Place of Publication:
- Hershey, PA : IGI Global, [2022]
- System Details:
- Mode of access: World Wide Web.
- Summary:
- "Based on the rapidly shifting and evolving paradigms of remote learning, machine learning (MI), deep learning, and artificial intelligence (AI) consistent with the 21st-century learning and teaching contexts, and due to its specific scope, focus, and implications in the fields of MI and AI, this edited book contributes to the MI and AI-based literature-specific in the field of Education"
- Contents:
- Section 1. Chapter 1. Machine learning and deep learning for applications: a hands-on study with Python ; Chapter 2. Machine learning in computer vision ; Chapter 3. Music therapy-based emotion regulation using convolutional neural network ; Chapter 4. Speech recognition via IPA-based phonetic data coding and analysis: descriptive coding, pattern coding, and phonetic transcription in phenomenological research
- Section 2. Chapter 5. Deep learning in instructional analysis, design, development, implementation, and evaluation (ADDIE) ; Chapter 6. Mastery of learning via social networking technology: a comprehensive literature review with a systems approach ; Chapter 7. Prevention is better than cure: use of a dashboard in a university English course ; Chapter 8. Corpus-aided grammar teaching materials development: theoretical considerations and practical teaching activities
- Section 3. Chapter 9. Implementing new resources for STEM education: 21st century skills after COVID ; Chapter 10. Executive project management plan for an online course instructor training in higher education: a three-tier change model ; Chapter 11. Problems with online education and possible remedies.
- Notes:
- Description based on print version record.
- Includes bibliographical references and index.
- ISBN:
- 9781799877783
- OCLC:
- 1304417733
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