Higher education worries and response in the era of artificial intelligence

Volume 8, Issue 1, February 2023     |     PP. 24-44      |     PDF (249 K)    |     Pub. Date: February 8, 2023
DOI: 10.54647/education880398    112 Downloads     4800 Views  

Author(s)

Yanjing Li, Institute of Education Science Research, Heilongjiang University, Harbin, China
Ping Yang, Institute of Education Science Research, Heilongjiang University, Harbin, China

Abstract
The rapid development of artificial intelligence (AI) has promoted the reform of higher education in the form of a technological revolution. The internal mechanism of the development of the higher education system and the intervention of the external environment have promoted the development of higher education with the times, and also brought opportunities and concerns for the development of higher education. In the era of AI, the thinking of teachers and students is weak, and the learning environment and mode change, resulting in moral problems and technical fanaticism. How does higher education develop well in the era of AI? Thinking and answering these deep-seated questions will be the key to determining how far AI will go in the field of education, and also the response of higher education to the era of AI.

Keywords
AI; higher education; educational opportunities; Wisdom response.

Cite this paper
Yanjing Li, Ping Yang, Higher education worries and response in the era of artificial intelligence , SCIREA Journal of Education. Volume 8, Issue 1, February 2023 | PP. 24-44. 10.54647/education880398

References

[ 1 ] J. J. Kim, K. Wilkes, and C. S. An, “AltSchool: School Reimagined,” 2015.
[ 2 ] J. McCarthy, M. L. Minsky, N. Rochester, and C. E. Shannon, “A proposal for the Dartmouth summer research project on artificial intelligence,” AI Mag., vol. 27, no. 4, pp. 12–14, 2006.
[ 3 ] S. Gregory, S. Scutter, L. Jacka, M. McDonald, H. Farley, and C. Newman, “Barriers and Enablers to the Use of Virtual Worlds in Higher Education: An Exploration of Educator Perceptions, Attitudes, and Experiences.,” J. Educ. Technol. Soc., vol. 18, no. 1, pp. 3–12, 2015, [Online]. Available: http://www.ifets.info/download_pdf.php?j_id=66&a_id=1544.
[ 4 ] P. Basu, S. Bhattacharya, and S. Roy, “Online recommendation of the learning path for an e-learner under the virtual university,” Lect. Notes Comput. Sci. (including Subser. Lect. Notes Artif. Intell. Lect. Notes Bioinformatics), vol. 7753 LNCS, pp. 126–136, 2013, doi: 10.1007/978-3-642-36071-8_9.
[ 5 ] S. E. M. Meek, L. Blakemore, and L. Marks, “Is peer review an appropriate form of assessment in a MOOC? Student participation and performance in formative peer review,” Assess. Eval. High. Educ., vol. 42, no. 6, pp. 1000–1013, 2017, doi: 10.1080/02602938.2016.1221052.
[ 6 ] K. Davis and S. Singh, “Digital Badges in Afterschool Learning: Documenting the Perspectives and Experiences of Students and Educators,” Comput. Educ., vol. 88, Apr. 2015, doi: 10.1016/j.compedu.2015.04.011.
[ 7 ] S. Haynes, “The changing nature of behavioral assessment.,” Sep. 2022.
[ 8 ] S. De Spiegeleire, M. Maas, and T. Sweijs, AND THE FUTURE OF STRATEGIC IMPLICATIONS The Hague Centre for Strategic Studies, no. May. 2017.
[ 9 ] F. Hrvat, A. Aleta, A. Džuho, O. Hasanić, and L. Spahić Bećirović, “Artificial Intelligence in Nanotechnology: Recent Trends, Challenges and Future Perspectives BT - CMBEBIH 2021,” 2021, pp. 690–702.
[ 10 ] J. Li, Y. Wang, and S. Li, “Effects of psychological fatigue on college athletes ’ error ‑ related negativity based on artificial intelligence computing method,” EURASIP J. Wirel. Commun. Netw., 2022, doi: 10.1186/s13638-022-02166-8.
[ 11 ] C. H. Thurber, “ Talks to Teachers on Psychology: And to Students on Some of Life’s Ideals . William James ,” Sch. Rev., vol. 7, no. 7, pp. 434–435, 1899, doi: 10.1086/434057.
[ 12 ] R. Kumar, V. Kumar, and C. Kumar, “Impact of Artificial Intelligence, Robotics, and Automation on Employment,” YMER Digit., vol. 21, no. 07, pp. 1116–1124, 2022, doi: 10.37896/ymer21.07/92.
[ 13 ] S. Boysen, B. Hewitt, D. Gibbs, and A. Mcleod, “Refining the Threat Calculus of Technology Threat Avoidance Theory,” Commun. Assoc. Inf. Syst., Jul. 2019, doi: 10.17705/1CAIS.04505.
[ 14 ] K. Siu, “Overseas Keynote Lecture-Impact of new technology on teaching and learning in technology education: opportunity or threat?,” J. Des. Technol. Educ., pp. 119–130, 2002, [Online]. Available: http://jil.lboro.ac.uk/ojs/index.php/JDTE/article/view/368.
[ 15 ] M. A. K. M. M. A. R. R. P. Saraji Mahyar Kamali, “An extended hesitant fuzzy set using SWARA-MULTIMOORA approach to adapt online education for the control of the pandemic spread of COVID-19 in higher education institutions,” Artif. Intell. Rev. An Int. Sci. Eng. J., vol. 55, no. 1, 2022.
[ 16 ] E. Onyema, Nwafor, Ugwugbo, R. Afriyie, and U. Ogbonnaya, “Cloud Security Challenges: Implications on Education,” vol. 9, pp. 56–73, Feb. 2020.
[ 17 ] D. N. P. Shende Pravin, “A Review on the Role of Artificial Intelligence in Stem Cell Therapy: An Initiative for Modern Medicines,” Curr. drug targets-The Int. J. timely in-depth Rev. drug targets, vol. 22, no. 9, 2021.
[ 18 ] David Lazer, Ryan Kennedy, Gary King, and Vespignani Alessandro, “The Parable of Google Flu: Traps in Big Data Analysis,” Science (80-. )., vol. 343, no. March, pp. 1203–1205, 2014, [Online]. Available: www.sciencemag.orgSCIENCEVOL34314MARCH2014.
[ 19 ] L. Xiuquan and J. Shaoru, “On the Needs of Artificial Intelligence Technical Regulation in the Man-machine Symbiosis Society,” IFAC-PapersOnLine, vol. 53, no. 5, pp. 491–494, 2020, doi: https://doi.org/10.1016/j.ifacol.2021.04.135.
[ 20 ] Arbib, “Artificial Intelligence: Cooperative Computation and Man–Machine Symbiosis,” IEEE Trans. Comput., vol. C–25, no. 12, pp. 1346–1352, 1976, doi: 10.1109/TC.1976.1674603.
[ 21 ] J. C. R. Licklider, “Man-Computer Symbiosis 1 Introduction 2 Aims of Man-Computer Symbiosis,” Hum. Factors, vol. HFE, no. 1, pp. 4–11, 1960, [Online]. Available: http://groups.csail.mit.edu/medg/people/psz/Licklider.html.
[ 22 ] R. Sternberg, “Why Schools Should Teach for Wisdom: The Balance Theory of Wisdom in Educational Settings,” Educ. Psychol. - EDUC PSYCHOL, vol. 36, pp. 227–245, Dec. 2001, doi: 10.1207/S15326985EP3604_2.
[ 23 ] G. Claxton, L. Edwards, and V. Scale-Constantinou, “Cultivating creative mentalities: A framework for education,” Think. Ski. Creat., vol. 1, pp. 57–61, Apr. 2006, doi: 10.1016/j.tsc.2005.11.001.
[ 24 ] C. Adams, P. Pente, G. Lemermeyer, and G. Rockwell, “Artificial Intelligence Ethics Guidelines for K-12 Education: A Review of the Global Landscape,” 2021, pp. 24–28.
[ 25 ] M. Brundage et al., “The Malicious Use of Artificial Intelligence: Forecasting, Prevention, and Mitigation,” no. February 2018, 2018, [Online]. Available: http://arxiv.org/abs/1802.07228.
[ 26 ] L. Shuguang, L. Zheng, and B. Lin, Impact of Artificial Intelligence 2.0 on Teaching and Learning. 2020.
[ 27 ] J. W. Pellegrino and M. L. Hilton, Education for Life and Work : Developing Transferable Knowledge and Skills in the 21st Century This PDF is available from The National Academies Press at http://www.nap.edu/catalog.php?record_id=13398 Education for Life and Work : Developing Transferable, no. January. 2012.
[ 28 ] A. Singh, B. Ganapathysubramanian, A. K. Singh, and S. Sarkar, “Machine Learning for High-Throughput Stress Phenotyping in Plants,” Trends Plant Sci., vol. 21, no. 2, pp. 110–124, 2016, doi: 10.1016/j.tplants.2015.10.015.