Abstract
The purpose of this research was to conduct a survey of potential alternative AI engines in order to determine the effective characteristics to implement with Adaptive Learning. This research compiles a list of possible alternatives that could be implemented for an Introduction to Computing course at a 4-year liberal arts college in the Southeast region of the U.S. Although the current adaptive learning software has been used with this course for several years and has yielded good results, the authors believe that there is always room for improvement. Therefore, this study set out to find other intelligent software engines that could better benefit the students at this institution with the help of AI.
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Appendix
Appendix
Appendix a: Introduction to Computing Goals, Outcomes, and Assessments [22]
Intro to computing goals, outcomes, and assessments | |||
---|---|---|---|
# | Course outcome goals | General education outcomes | Assessments |
1. | Understand the evolution of information technology and future trends | Clearly communicate in written and oral form Demonstrate critical and creative thinking Demonstrate science literacy Understand and effectively use information technology | Coverage across labs, projects, assignments, quizzes and tests |
2. | Describe the ethical issues surrounding the uses of digital information | Clearly communicate in written and oral form Demonstrate critical and creative thinking | Coverage across labs, projects, assignments, quizzes and tests |
3. | Demonstrate proficiency in the use of various personal productivity software | Clearly communicate in written and oral form Understand and effectively use information technology | Coverage across simulations, projects, and Common Assessments |
4. | Understand the functionality and interaction among the main hardware components of a computer and appropriate terminology | Clearly communicate in written and oral form Demonstrate critical and creative thinking Demonstrate science literacy | Coverage across labs, projects, assignments, quizzes and tests |
5. | Acquire basic knowledge of computer security, protection mechanisms and privacy threats on Internet | Clearly communicate in written and oral form Demonstrate science literacy Understand and effectively use information technology | Coverage across labs, projects, assignments, quizzes and tests |
6. | Understand the role of computing tools in supporting collaborative projects | Clearly communicate in written and oral form Demonstrate critical and creative thinking Understand and effectively use information technology | Coverage across labs, projects, assignments, quizzes and tests |
7. | Understand the principles of computer networking | Clearly communicate in written and oral form Demonstrate science literacy Understand and effectively use information technology | Coverage across labs, projects, assignments, quizzes and tests |
8. | Understand the different types of application and systems software and their roles in computing | Clearly communicate in written and oral form Demonstrate critical and creative thinking Demonstrate science literacy | Coverage across labs, projects, assignments, quizzes and tests |
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Kakish, K., Robertson, C., Pollacia, L. (2022). Advancing Adaptive Learning via Artificial Intelligence. In: Arai, K. (eds) Intelligent Systems and Applications. IntelliSys 2021. Lecture Notes in Networks and Systems, vol 296. Springer, Cham. https://doi.org/10.1007/978-3-030-82199-9_47
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