Artificial intelligence in STEM education : the paradigmatic shifts in research, education, and technology /: the paradigmatic shifts in research, education, and technology. (2022)

• Record Type: Book
• Further Information: Note: Edited by Fan Ouyan, Pengcheng Jiao, Bruce M. McLaren, Amir H. Alavi.
• Editors: Ouyan, Fan; Jiao, Pengcheng; McLaren, Bruce M; Alavi, Amir H
• Contents: Section I: AI-Enhanced Adaptive, Personalized Learning 1. Artificial intelligence in STEM education: current developments and future considerations Fan Ouyang, Pengcheng Jiao, Amir H. Alavi, Bruce M. McLaren 2. Towards a deeper understanding of K-12 students' CT and engineering design processes Gautam Biswas, Nicole M Hutchins 3. Intelligent science stations bring AI tutoring into the physical world Nesra Yannier, Scott E. Hudson, Kenneth R. Koedinger 4. Adaptive Support for Representational Competencies during Technology-Based Problem Solving in STEM Martina A. Rau 5. Teaching STEM subjects in non-STEM degrees: An adaptive learning model for teaching Statistics Daniela Pacella, Rosa Fabbricatore, Alfonso Iodice D’Enza, Carla Galluccio, Francesco Palumbo 6. Removing barriers in self-paced online learning through designing intelligent learning dashboards Arta Faramand, Hongxin Yan, M. Ali Akber Dewan, Fuhua Lin Section II: AI-Enhanced Adaptive Learning Resources 7. PASTEL: Evidence-based learning engineering methods to facilitate creation of adaptive online courseware Noboru Matsuda, Machi Shimmei, Prithviraj Chaudhuri, Dheeraj Makam, Raj Shrivastava, Jesse Wood, Peeyush Taneja 8. A Technology-Enhanced Approach for Locating Timely and Relevant News Articles for Context-Based Science Education Jinnie Shin, Mark J. Gierl 9. Adaptive learning profiles in the education domain Claudio Giovanni Demartini, Andrea Bosso, Giacomo Ciccarelli, Lorenzo Benussi, Flavio Renga Section III: AI-Supported Instructor Systems and Assessments for AI and STEM Education 10. Teacher orchestration systems supported by AI: Theoretical possibilities and practical considerations Suraj Uttamchandani, Haesol Bae, Chen (Carrie) Feng, Krista Glazewski, Cindy E. Hmelo-Silver, Thomas Brush, Bradford Mott, James Lester 11. The role of AI to support teacher learning and practice: A review and future directions Jennifer L. Chiu, James P. Bywater, Sarah Lilly 12. Learning outcome modeling in computer-based assessments for learning Fu Chen, Chang Lu 13. Designing automated writing evaluation systems for ambitious instruction and classroom integration Lindsay Clare Matsumura, Elaine L. Wang, Richard Correnti, Diane Litman Section IV: Learning Analytics and Educational Data Mining in AI and STEM Education 14. Promoting STEM education through the use of learning analytics: A paradigm shift Shan Li, Susanne P. Lajoie 15. Using learning analytics to understand students’ discourse and behaviors in STEM education Gaoxia Zhu, Wanli Xing, Vitaliy Popov, Yaoran Li, Charles Xie, Paul Horwitz 16. Understanding the role of AI and learning analytics techniques in addressing task difficulties in STEM education Sadia Nawaz, Emad A. Alghamdi, Namrata Srivastava, Jason Lodge, Linda Corrin 17. Learning analytics in a Web3D-based inquiry learning environment Guangtao Xu 18. On machine learning methods for propensity score matching and weighting in educational data mining applications Juanjuan Fan, Joshua Beemer, Xi Yan, Richard A. Levine 19. Situating AI (and Big Data) in the Learning Sciences: Moving toward large-scale learning sciences Danielle S. McNamara, Tracy Arner, Reese Butterfuss, Debshila Basu Mallick, Andrew S. Lan, Rod D. Roscoe, Henry L. Roediger III, Richard G. Baraniuk 20. Linking Natural Language Use and Science Performance Scott Crossley, Danielle S. McNamara, Jennifer Dalsen, Craig G Anderson, Constance Steinkuehler Section V: Other Topics in AI and STEM Education 21. Quick Red Fox: An app supporting a new paradigm in qualitative research on AIED for STEM Stephen Hutt, Ryan S. Baker, Jaclyn Ocumpaugh, Anabil Munshi, J.M.A.L. Andres, Shamya Karumbaiah, Stefan Slater, Gautam Biswas, Luc Paquette, Nigel Bosch, Martin van Velsen 22. A systematic review of AI applications in computer-supported collaborative learning in STEM education Jingwan Tang, Xiaofei Zhou, Xiaoyu Wan, Fan Ouyang 23. Inclusion and equity as a paradigm shift for artificial intelligence in education Rod D. Roscoe, Shima Salehi, Nia Dowell, Marcelo Worsley, Chris Piech, Rose Luckin
• Edition: 1st
• Publisher Details: Boca Raton : CRC Press
• Publication Date: 2022
• Extent: 1 online resource, illustrations (black and white)
• Subjects: 371.334; Artificial intelligence -- Educational applications; Science -- Study and teaching -- Technological innovations
• Languages: English
• ISBNs: 9781000814750; 9781000814712
• Related ISBNs: 9781032009216
• Notes: Note: Includes bibliographical references and index.; Note: Description based on CIP data; resource not viewed.
• Access Rights: Legal Deposit; Only available on premises controlled by the deposit library and to one user at any one time; The Legal Deposit Libraries (Non-Print Works) Regulations (UK).
• Access Usage: Restricted: Printing from this resource is governed by The Legal Deposit Libraries (Non-Print Works) Regulations (UK) and UK copyright law currently in force.