Using AI to Teach AI: Lessons from an Online AI Class
Open accessAbstract
In fall 2014, we launched a foundational course in artificial intelligence (CS7637: Knowledge‐Based AI) as part of Georgia Institute of Technology's Online Master of Science in Computer Science program. We incorporated principles and practices from the cognitive and learning sciences into the development of the online AI course. We also integrated AI techniques into the instruction of the course, including embedding 100 highly focused intelligent tutoring agents in the video lessons. By now, more than 2000 students have taken the course. Evaluations have indicated that OMSCS students enjoy the course compared to traditional courses, and more importantly, that online students have matched residential students' performance on the same assessments. In this article, we present the design, delivery, and evaluation of the course, focusing on the use of AI for teaching AI. We also discuss lessons we learned for scaling the teaching and learning of AI.
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The main uses of AI in education are related to tutoring and assessment.
“As already mentioned, the main uses of AI applied to education are related to tutoring and assessment [40], although we also find other examples of use such as personalization [22,41,46] or quality assessment [20,37,39].”
From Artificial Intelligence for Student Assessment: A Systematic Review (2021) · cites this paper as [41]
In Goel and Joyner [41], students who used AI performed better than those who did not.
“Their results show that students who used AI performed better than those who did not.”
From Artificial Intelligence for Student Assessment: A Systematic Review (2021) · cites this paper as [41]
In papers focusing on formative assessment, the idea of using AI lies in the help AI can provide to teachers when they have a large number of students [41].
“As for the papers that focus on formative assessment, it is clear that the idea of using AI for this task lies in the help that this technology can provide to teachers when they have a large number of students [41], or based on the idea that learning improves the more immediate the feedback given to students [21].”
From Artificial Intelligence for Student Assessment: A Systematic Review (2021) · cites this paper as [41]
Goel and Joyner [41] compared teaching AI from their platform with AI technology and another without the use of it.
“The work by Goel and Jyoner [41] makes a comparison between teaching AI from the platform they have created with this technology and another without the use of it.”
From Artificial Intelligence for Student Assessment: A Systematic Review (2021) · cites this paper as [41]
The main uses of AI applied to education are tutoring and assessment, with other examples including personalization and quality assessment.
“As already mentioned, the main uses of AI applied to education are related to tutoring and assessment [40], although we also find other examples of use such as personalization [22,41,46] or quality assessment [20,37,39].”
From Artificial Intelligence for Student Assessment: A Systematic Review (2021) · cites this paper as [41]
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References 20 · Cited by 75
- Authors
- Goel, A. K., & Joyner, D. A.
- Affiliations
- Georgia Institute of Technology (US)
- Venue
- AI Magazine
- Publisher
- Wiley
- Published
- 2017-06
- Volume
- 38
- Issue
- 2
- Pages
- 48-58
- ISSN
- 0738-4602 (ISSN-L)
- 2371-9621
- OpenAlex
- W2735914995
- Cited by
- 75
- References
- 20
- Citations by year
- 2026: 6 · 2025: 16 · 2024: 12 · 2023: 11 · 2022: 11 · 2021: 10 · 2020: 3 · 2019: 2 · 2018: 3 · 2017: 1
- FWCI
- 1.47
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- AI Magazine (publishedVersion, cc-by)
- Funders
- Georgia Institute of Technology
- Topics
- Physical Sciences › Computer Science › Artificial Intelligence › Intelligent Tutoring Systems and Adaptive Learning
- Physical Sciences › Computer Science › Information Systems › Artificial Intelligence in Education
- Social Sciences › Education › Online and Blended Learning
- Keywords
- artificial intelligence in education, intelligent tutoring systems, online learning, course design, learning sciences, online master's programs, course evaluation, Georgia Institute of Technology
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