1,069
Views
0
CrossRef citations to date
0
Altmetric
Research Article

The evaluation method of college teachers’ morality considering intelligent emotion recognition and data mining algorithm

Article: 2186413 | Received 29 Dec 2022, Accepted 27 Feb 2023, Published online: 07 Mar 2023

References

  • Assumpção, T. H., I. Popescu, A. Jonoski, and D. P. Solomatine. 2018. Citizen observations contributing to flood modelling: Opportunities and challenges. Hydrology and Earth System Sciences 22 (2):1473–881. doi:10.5194/hess-22-1473-2018.
  • Berendt, B., A. Littlejohn, and M. Blakemore. 2020. AI in education: learner choice and fundamental rights. Learning, Media and Technology 45 (3):312–24. doi:10.1080/17439884.2020.1786399.
  • Chatterjee, S., A. K. Kar, and S. Z. Mustafa. 2021. Securing IoT devices in smart cities of India: from ethical and enterprise information system management perspective. Enterprise Information Systems 15 (4):585–615. doi:10.1080/17517575.2019.1654617.
  • Comandé, G., and G. Schneider. 2018. Regulatory challenges of data mining practices: the case of the never-ending lifecycles of “health data. European Journal of Health Law 25 (3):284–307. doi:10.1163/15718093-12520368.
  • Dubois, E., A. Gruzd, and J. Jacobson. 2020. Journalists’ use of social media to infer public opinion: the citizens’ perspective. Social Science Computer Review 38 (1):57–74. doi:10.1177/0894439318791527.
  • Etter, M., E. Colleoni, L. Illia, K. Meggiorin, and A. D’eugenio. 2018. Measuring organizational legitimacy in social media: assessing citizens’ judgments with sentiment Analysis. Business & Society 57 (1):60–97. doi:10.1177/0007650316683926.
  • Ferguson, K., and A. Caplan. 2021. Love thy neighbour? Allocating vaccines in a world of competing obligations. Journal of Medical Ethics 47 (12):20. doi:10.1136/medethics-2020-106887.
  • Holmes, W., K. Porayska-Pomsta, K. Holstein, E. Sutherland, T. Baker, S. Buckingham Shum, O. C. Santos, M. T. Rodrigo, M. Cukurova, I. Ibert Bittencourt, et al. 2022. Ethics of AI in education: towards a community-wide framework. International Journal of Artificial Intelligence in Education. 32(3):504–26. doi:10.1007/s40593-021-00239-1.
  • Kennedy, H. 2018. Living with data: aligning data studies and data activism through a focus on everyday experiences of datafication. Krisis: Journal for Contemporary Philosophy 2018:18–30.
  • Liang, F., V. Das, N. Kostyuk, and M. M. Hussain. 2018. Constructing a data-driven society: China’s social credit system as a state surveillance infrastructure. Policy & Internet 10 (4):415–53. doi:10.1002/poi3.183.
  • Petersen, A., C. Tanner, and M. Munsie. 2019. Citizens’ use of digital media to connect with health care: socio-ethical and regulatory implications. Health 23 (4):367–84. doi:10.1177/1363459319847505.
  • Saltz, J. S., and N. Dewar. 2019. Data science ethical considerations: A systematic literature review and proposed project framework. Ethics and Information Technology 21 (3):197–208. doi:10.1007/s10676-019-09502-5.
  • Sepasgozar, S. M. E. 2022. Immersive on-the-job training module development and modeling users’ behavior using parametric multi-group analysis: A Modified educational technology acceptance model. Technology in Society 68 (February):101921. doi:10.1016/j.techsoc.2022.101921.
  • Taylor, J., and C. Pagliari. 2018. Mining social media data: How are research sponsors and researchers addressing the ethical challenges? Research Ethics 14 (2):1–39. doi:10.1177/1747016117738559.
  • Trottier, D. 2018. Scandal mining: Political nobodies and remediated visibility. Media, Culture & Society 40 (6):893–908. doi:10.1177/0163443717734408.
  • Ulbricht, L. 2020. Scraping the demos. Digitalization, web scraping and the democratic project. Democratization 27 (3):426–42. doi:10.1080/13510347.2020.1714595.
  • Williamson, B., and R. Eynon. 2020. Historical threads, missing links, and future directions in AI in education. Learning, Media and Technology 45 (3):223–35. doi:10.1080/17439884.2020.1798995.