Artificial Intelligence-Supported Teacher Tools to Increase Participation in Online Courses

Author:

Üstün Ayşin Gaye1ORCID,Yavuz Mehmet2ORCID

Affiliation:

1. Sinop University, Turkey

2. Bingöl University, Turkey

Abstract

The aim of the study is to examine AI tools that will increase student engagement in online courses and provide support to teachers. In this context, AI tools were examined as a result of the literature review. These tools were examined under six headings: adaptive learning platforms, customized material creation tools, feedback and guidance tools, exam and test creation tools, student engagement monitoring tools, and classroom management tools. Some of the tools analyzed are ALEKS, SlidesAI, Squirrel, MagicForm, Quizbot, Nearpod, and Knewton Alta. It can be argued that these tools provide a range of benefits such as improving learning outcomes by increasing student engagement in online courses, personalizing learning experiences, improving teaching quality, providing tailored courses for students, and improving assessment. However, concerns such as unethical use of student data, limitations in measuring and assessing the learning process, and the inability of automated assessment systems to adequately assess emotion and creativity should be taken into account when using these tools.

Publisher

IGI Global

Reference58 articles.

1. Guiding the Students in High School by Using Machine Learning

2. Learning management systems and student performance.;K.Ahmed;International Journal of Sustainable Energy Development,2019

3. The Effect of McGraw-Hill Education Connect on Students' Academic Performance

4. Baker, T., Smith, L., & Anissa, N. (2019). Educ-AI-tion rebooted? Exploring the future of artificial intelligence in schools and colleges. https://media.nesta.org.uk/documents/Future_of_AI_and_education_v5_WEB.pdf

5. Artificial Intelligence and Reflections from Educational Landscape: A Review of AI Studies in Half a Century

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