Artificial intelligence in STEM education : the paradigmatic shifts in research, education, and technology /
"Artificial intelligence (AI) opens new opportunities for science, technology, engineering and mathematics (STEM) education. AI in education (AIED) has undergone several research, practice, and technological paradigmatic shifts in its brief history, which can be particularly observed in STEM ed...
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| Other Authors: | , , , |
| Format: | eBook |
| Language: | English |
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Boca Raton, FL :
CRC Press,
2023.
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| Edition: | First edition. |
| Series: | Chapman & Hall/CRC artificial intelligence and robotics series.
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| Subjects: | |
| Online Access: | Connect to the full text of this electronic book |
Table of Contents:
- Artificial Intelligence in STEM education : current developments and future considerations / Fan Ouyang, Pengcheng Jiao, Amir H. Alavi, and Bruce M. McLaren
- Towards a deeper understanding of K-12 students' CT and engineering design processes / Gautam Biswas and Nicole M. Hutchins
- Intelligent science stations bring AI tutoring into the physical world / Nesra Yannier, Scott E. Hudson, and Kenneth R. Koedinger
- Adaptive support for representational competencies during technology-based problem-solving in STEM / Martina A. Rau
- Teaching STEM subjects in non-STEM degrees : an adaptive learning model for teaching statistics / Daniela Pacella, Rosa Fabbricatore, Alfonso Iodice D'Enza, Carla Galluccio, and Francesco Palumbo
- Removing barriers in self-paced online learning through designing intelligent learning dashboards / Arta Faramand, Hongxin Yan, M. Ali Akber Dewan, and Fuhua Lin
- 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, and Peeyush Taneja
- A technology-enhanced approach for locating timely and relevant news articles for context-based science education / Jinnie Shin and Mark J. Gierl
- Adaptive learning profiles in the education domain / Claudio Giovanni Demartini, Andrea Bosso, Giacomo Ciccarelli, Lorenzo Benussi, and Flavio Renga
- Teacher orchestration systems supported by AI : theoretical possibilities and practical considerations / Suraj Uttamchandani, Haesol Bae, Chen Feng, Krista Glazewski, Cindy E. Hmelo-Silver, Thomas Brush, Bradford Mott, and James Lester
- The role of AI to support teacher learning and practice : a review and future directions / Jennifer L. Chiu, James P. Bywater, and Sarah Lilly
- Learning outcome modeling in computer-based assessments for learning / Fu Chen and Chang Lu
- Designing automated writing evaluation systems for ambitious instruction and classroom integration / Lindsay Clare Matsumura, Elaine L. Wang, Richard Correnti, and Diane Litman
- Promoting STEM education through the use of learning analytics : a paradigm shift / Shan Li and Susanne P. Lajoie
- Using learning analytics to understand students' discourse and behaviors in STEM education / Gaoxia Zhu, Wanli Xing, Vitaliy Popov, Yaoran Li, Charles Xie, and Paul Horwitz
- 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, and Linda Corrin
- Learning analytics in a Web3D based inquiry learning environment / Guangtao Xu, Yingqian Li, Zhouyang Zhu, Yihui Hu, and Wenting Zhou
- On machine learning methods for propensity score matching and weighting in educational data mining applications / Juanjuan Fan, Joshua Beemer, Xi Yan, and Richard A. Levine
- 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, and Richard G. Baraniuk
- Linking natural language use and science performance / Scott Crossley, Danielle S. McNamara, Jennifer Dalsen, Craig G. Anderson, and Constance Steinkuehler
- 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, and Martin van Velsen
- A systematic review of AI applications in computer-supported collaborative learning in STEM education / Jingwan Tang, Xiaofei Zhou, Xiaoyu Wan, and Fan Ouyang
- Inclusion and equity as a paradigm shift for Artificial Intelligence in education / Rod D. Roscoe, Shima Salehi, Nia Nixon, Marcelo Worsley, Chris Piech, and Rose Luckin.