abstract

An Interdisciplinary Approach for Teaching Artificial Intelligence to Computer Science Students

Authors:

Anoop Mishra,

Harvey SiyAuthors Info & Claims

SIGITE '20: Proceedings of the 21st Annual Conference on Information Technology Education

Page 344

https://doi.org/10.1145/3368308.3415440

Published: 07 October 2020 Publication History

Get Access

Abstract

Artificial intelligence (AI) is a demanding and important course for computer science education in the universities and open online courses (MOOCs). It includes various introductory and specialized courses for artificial intelligence like knowledge representation, machine learning, reasoning under uncertainty, natural language processing, robotics, and perception of computer vision, etc. We observed that mostly AI courses focus on the Computer Science (CS)-centric approach and lacks core explanation from their roots including philosophy, neuroscience, psychology, cognitive science, linguistics, economics, social science, etc. In this paper, we propose to engage the interdisciplinary approach along with CS-centric approach for teaching AI that includes the disciplines that have been established to tackle the age-old problem of understanding the science of thinking.

References

[1]

Samuel J Gershman and Nathaniel D Daw. 2017. Reinforcement learning and episodic memory in humans and animals: an integrative framework. Annual Review of Psychology 68 (2017), 101--128.

Crossref

Google Scholar

[2]

Demis Hassabis, Dharshan Kumaran, Christopher Summerfield, and Matthew Botvinick. 2017. Neuroscience-inspired artificial intelligence. Neuron 95, 2 (2017), 245--258.

Crossref

Google Scholar

[3]

Marvin Minsky. 1988. Society of Mind. Simon and Schuster.

Google Scholar

[4]

Seymour Papert. 1972. Teaching children thinking. Programmed Learning and Educational Technology 9, 5 (1972), 245--255.

Crossref

Google Scholar

[5]

Stuart Russell and Peter Norvig. 2020. Artificial Intelligence: A Modern Approach (4th edition). Pearson.

Google Scholar

Cited By

View all

Newhouse KLehman KWofford ASendowski M(2024)Doing and Defining Interdisciplinarity in Undergraduate ComputingACM Transactions on Computing Education10.1145/365467624:3(1-26)Online publication date: 4-Apr-2024
https://dl.acm.org/doi/10.1145/3654676
Bhat MLong D(2024)Designing Interactive Explainable AI Tools for Algorithmic Literacy and TransparencyProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660722(939-957)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3660722
Schleiss JLaupichler MRaupach TStober S(2023)AI Course Design Planning Framework: Developing Domain-Specific AI Education CoursesEducation Sciences10.3390/educsci1309095413:9(954)Online publication date: 19-Sep-2023
https://doi.org/10.3390/educsci13090954
Show More Cited By

Index Terms

An Interdisciplinary Approach for Teaching Artificial Intelligence to Computer Science Students
1. Applied computing
  1. Education
2. Computing methodologies
  1. Artificial intelligence

Recommendations

Teaching artificial intelligence for undergraduate students: a project based approach

Artificial Intelligence has advanced rapidly in recent years due to the progress in hardware performance and algorithmic studies. The job market for artificial intelligence has been promising as many practical applications have become viable nowadays. ...
How do Elementary Students Conceptualize Artificial Intelligence?
SIGCSE '21: Proceedings of the 52nd ACM Technical Symposium on Computer Science Education

Countries around the globe have acknowledged the pervasiveness of artificial intelligence (AI) in our lives and the importance of educating our students on how AI technologies work. For example, the Chinese education ministry has integrated AI into the ...
"Artificial intelligence is a very broad term": How educators perceive Artificial Intelligence?
GoodIT '24: Proceedings of the 2024 International Conference on Information Technology for Social Good

Artificial intelligence (AI) has seamlessly integrated into our daily routines. Recognizing the significance of AI, educators are expected not only to teach about AI but also to utilize AI tools in their teaching, ensuring that their students are ...

Comments

Information & Contributors

Information

Published In

SIGITE '20: Proceedings of the 21st Annual Conference on Information Technology Education

October 2020

446 pages

ISBN:9781450370455

DOI:10.1145/3368308

General Chairs:
Deepak Khazanchi
University of Nebraska at Omaha, USA
,
Harvey Siy,
Program Chairs:
George Grispos,
Tenace Kwaku Setor
University of Nebraska at Omaha, USA

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 October 2020

Check for updates

Author Tags

Qualifiers

Abstract

Conference

SIGITE '20

Sponsor:

SIGITE

SIGITE '20: The 21st Annual Conference on Information Technology Education

October 7 - 9, 2020

Virtual Event, USA

Acceptance Rates

Overall Acceptance Rate 176 of 429 submissions, 41%

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
269
Total Downloads

Downloads (Last 12 months)87
Downloads (Last 6 weeks)7

Reflects downloads up to 09 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

View all

Newhouse KLehman KWofford ASendowski M(2024)Doing and Defining Interdisciplinarity in Undergraduate ComputingACM Transactions on Computing Education10.1145/365467624:3(1-26)Online publication date: 4-Apr-2024
https://dl.acm.org/doi/10.1145/3654676
Bhat MLong D(2024)Designing Interactive Explainable AI Tools for Algorithmic Literacy and TransparencyProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3660722(939-957)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3660722
Schleiss JLaupichler MRaupach TStober S(2023)AI Course Design Planning Framework: Developing Domain-Specific AI Education CoursesEducation Sciences10.3390/educsci1309095413:9(954)Online publication date: 19-Sep-2023
https://doi.org/10.3390/educsci13090954
DiPaola DShen JHu RAlghowinem SBreazeal C(2023)DRONEscape: Designing an Educational Escape Room for Adult AI Literacy2023 IEEE Conference on Games (CoG)10.1109/CoG57401.2023.10333148(1-8)Online publication date: 21-Aug-2023
https://doi.org/10.1109/CoG57401.2023.10333148
Kong SKorte SCheung W(2023)Nurturing Artificial Intelligence Literacy in Students with Diverse Cultural BackgroundsInnovative Technologies and Learning10.1007/978-3-031-40113-8_2(13-21)Online publication date: 1-Aug-2023
https://doi.org/10.1007/978-3-031-40113-8_2
Ng DLeung JSu MYim IQiao MChu SNg DLeung JSu MYim IQiao MChu S(2022)AI Literacy Education for Nonengineering UndergraduatesAI Literacy in K-16 Classrooms10.1007/978-3-031-18880-0_8(99-116)Online publication date: 8-Dec-2022
https://doi.org/10.1007/978-3-031-18880-0_8

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Cited By

Index Terms

Recommendations

Teaching artificial intelligence for undergraduate students: a project based approach

How do Elementary Students Conceptualize Artificial Intelligence?

"Artificial intelligence is a very broad term": How educators perceive Artificial Intelligence?