Deep learning, education and the final stage of automation.
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Credit Neuroscape Labevery aspect of learning or any other feature of intelligence can in principle be so precisely described that a machine can be made to simulate it.– J. McCarthy, M. L. Minsky, ...
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In digitally-driven knowledge economies, traditional formal education systems are undergoing drastic changes or even a paradigm shift.
“In digitally-driven knowledge economies, traditional formal education systems are undergoing drastic changes or even a paradigm shift”
From Challenges and Future Directions of Big Data and Artificial Intelligence in Education (2020) · cites this paper as Peters, 2018
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(2016) · Cited by 11,679 · see citing works
The future of employment: How susceptible are jobs to computerisation?
Frey, C. B., & Osborne, M. A. (2017) · Technological Forecasting and Social Change · doi:10.1016/j.techfore.2016.08.019 · Cited by 8,727 · see citing works
The second machine age: work, progress, and prosperity in a time of brilliant technologies
(2015) · Choice Reviews Online · doi:10.5860/choice.184834 · Cited by 4,401 · see citing works
The Second Machine Age: Work, Progress, and Prosperity in a Time of Brilliant Technologies.
West, J. C. (2015) · Psychiatry · doi:10.1080/00332747.2015.1105632 · Cited by 1,415 · see citing works
Reworking Postfordism: Labor Process Versus Employment Relations
Vidal, M. (2011) · Sociology Compass · doi:10.1111/j.1751-9020.2011.00366.x · Cited by 78 · see citing works
Morris, K. C., Schlenoff, C. I., & Srinivasan, V. (2017) · IEEE Transactions on Automation Science and Engineering · doi:10.1109/tase.2016.2640778 · Cited by 49 · see citing works
Hassan, R. (2014) · Routledge eBooks · doi:10.4324/978131573883-8 · Cited by 42 · see citing works
The Global Financial Crisis and Educational Restructuring
Peters, M. A., Paraskeva, J. M., & Besley, T. A. C. (2015) · doi:10.3726/978-1-4539-1492-2 · Cited by 33 · see citing works
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Research works printed but not linked: 4
- Nello, C. (2016). Intelligence reinvented. New Scientist, 232(3097), 02624079, 10/29/2016.
- Peters, M. A. (in press). Algorithmic capitalism in the epoch of digital reason. Fast Capitalism. Retrieved from http://www. fastcapitalism.com/
- Peters, M. A. (2017). Educating for the fourth industrial revolution. Journal of Self-Governance and Management Economics, 5, 32-41.
- Rotman, D. (2016). The relentless pace of automation. MIT Technology Review, 120, 92-95.
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Application and theory gaps during the rise of artificial intelligence in education
Chen, X., Xie, H., Zou, D., & Hwang, G.-J. (2020) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2020.100002 · Cited by 1,003 · see citing works
Challenges and Future Directions of Big Data and Artificial Intelligence in Education
Luan, H., Geczy, P., Lai, H., Gobert, J., Yang, S. J. H., Ogata, H., Baltes, J., Guerra, R., Li, P., & Tsai, C.-C. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.580820 · Cited by 667 · see citing works
Knox, J., Williamson, B., & Bayne, S. (2020) · Learning Media and Technology · doi:10.1080/17439884.2019.1623251 · Cited by 261 · see citing works
- Authors
- Peters, M. A.
- Affiliations
- University of Waikato (NZ)
- Corresponding author
- Peters, Michael A.
- ORCID
- Peters, Michael A.
- Venue
- Educational Philosophy and Theory
- Publisher
- Informa UK Limited
- Published
- 2017-07-25
- Volume
- 50
- Issue
- 6-7
- Pages
- 549-553
- ISSN
- 0013-1857 (ISSN-L)
- 1469-5812
- OpenAlex
- W2736800185
- Cited by
- 39
- References
- 8
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2 · 2023: 5 · 2022: 6 · 2021: 3 · 2020: 9 · 2019: 7 · 2018: 5
- FWCI
- 10.69
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Educational Philosophy and Theory (publishedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Physical Sciences › Computer Science › Information Systems › Digital Education and Society
- Physical Sciences › Computer Science › Information Systems › Educational Technology in Learning
- Keywords
- deep learning, artificial intelligence in education, philosophy of artificial intelligence
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