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Advancing Adaptive Learning via Artificial Intelligence

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Intelligent Systems and Applications (IntelliSys 2021)

Part of the book series: Lecture Notes in Networks and Systems ((LNNS,volume 296))

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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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References

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Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Lissa Pollacia .

Editor information

Editors and Affiliations

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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