skip to main content
US FlagAn official website of the United States government
dot gov icon
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
https lock icon
Secure .gov websites use HTTPS
A lock ( lock ) or https:// means you've safely connected to the .gov website. Share sensitive information only on official, secure websites.

Explore Research Products in the PAR
It may take a few hours for recently added research products to appear in PAR search results.


Title: Artificial Intelligence in the CS2023 Undergraduate Computer Science Curriculum: Rationale and Challenges
Roughly every decade, the ACM and IEEE professional organizations have produced recommendations for the education of undergraduate computer science students. These guidelines are used worldwide by research universities, liberal arts colleges, and community colleges. For the latest 2023 revision of the curriculum, AAAI has collaborated with ACM and IEEE to integrate artificial intelligence more broadly into this new curriculum and to address the issues it raises for students, instructors, practitioners, policy makers, and the general public. This paper describes the development process and rationale that underlie the artificial intelligence components of the CS2023 curriculum, discusses the challenges in curriculum design for such a rapidly advancing field, and examines lessons learned during this three-year process.  more » « less
Award ID(s):
2231333
PAR ID:
10531732
Author(s) / Creator(s):
;
Publisher / Repository:
AAAI Press
Date Published:
Journal Name:
Proceedings of the AAAI Conference on Artificial Intelligence
Volume:
38
Issue:
21
ISSN:
2159-5399
Page Range / eLocation ID:
23078 to 23083
Format(s):
Medium: X
Sponsoring Org:
National Science Foundation
More Like this
  1. ; ; ; (, ACM)
    Undergraduate Computer Science (CS) curricular guidelines have been published regularly since 1968, and the latest released in 2013. From early 2021, a task force of the ACM, IEEE-Computer Society, and the Association for the Advancement of Artificial Intelligence (AAAI) has worked on a decennial revision titled the ACM/IEEE-CS/AAAI Computer Science 2023 Curricula (CS2023). The CS2023 task force includes a 17-member steering committee, 17 knowledge area subcommittees, and an international group of disciplinary experts. CS2023 provides curricular content – a knowledge model largely backward compatible with CS2013, supplemented by a competency model – and curricular practices, comprising articles by independent experts on program design and delivery that complement curricular content guidelines. CS2023 will inform educators and administrators on the what, why, and how to cover undergraduate CS over the next decade. Ongoing work on CS2023 has been disseminated widely over the past two years: via the task force website; presentations at computing education conferences, e.g., SIGCSE Technical Symposium 2023; articles, e.g., ACM Inroads; emails to various computing education mailing lists; gathering community feedback via surveys and special sessions; and soliciting and receiving expert blind peer reviews. Building on earlier drafts, a gamma draft was released in September 2023, with the final version due by the end of 2023. This panel examines CS2023 from different perspectives. All panelists serve on the CS2023 steering committee and have an intimate understanding of CS2023. The moderator will lay out its overall vision and structure while panelists will emphasize three major perspectives of CS education: software development fundamentals; systems development; and the increased role of societal, ethical, and professional aspects crucial to a modern CS graduate. Strong interdependencies exist between these perspectives, along with tensions arising from how much can be squeezed into a tight undergraduate CS curriculum. Attendees will take home an understanding of the approach taken by the CS2023 task force, the constraints on curriculum design, and how best to use the CS2023 guidelines to educate the next generation of CS graduates. 
    more » « less
  2. ; ; ; ; ; (, AI magazine)
    The recent surge in interest in ethics in artificial intelligence may leave many educators wondering how to address moral, ethical, and philosophical issues in their AI courses. As instructors we want to develop curriculum that not only prepares students to be artificial intelligence practitioners, but also to understand the moral, ethical, and philosophical impacts that artificial intelligence will have on society. In this article we provide practical case studies and links to resources for use by AI educators. We also provide concrete suggestions on how to integrate AI ethics into a general artificial intelligence course and how to teach a stand-alone artificial intelligence ethics course. 
    more » « less
  3. ; ; ; ; ; (, AI magazine)
    The recent surge in interest in ethics in artificial intelligence may leave many educators wondering how to address moral, ethical, and philosophical issues in their AI courses. As instructors we want to develop curriculum that not only prepares students to be artificial intelligence practitioners, but also to understand the moral, ethical, and philosophical impacts that artificial intelligence will have on society. In this article we provide practical case studies and links to resources for use by AI educators. We also provide concrete suggestions on how to integrate AI ethics into a general artificial intelligence course and how to teach a stand-alone artificial intelligence ethics course. 
    more » « less
  4. ; ; ; (, IEEE)
    It has been a decade since the ACM/IEEE CS2013 Curriculum guidelines recommended that all CS students learn about parallel and distributed computing (PDC). But few text- books for “core” CS courses–especially first-year courses–include coverage of PDC topics. To fill this gap, we have written free, online, beginner- and intermediate-level PDC textbooks, containing interactive C/C++ OpenMP, MPI, mpi4py, CUDA, and OpenACC code examples that students can run and modify directly in the browser. The books address a serious challenge to teaching PDC concepts, namely, easy access to the powerful hardware needed for observing patterns and scalability. This paper describes the content of these textbooks and the underlying infrastructure that make them possible. We believe the described textbooks fill a critical gap in PDC education and will be very useful for the community. 
    more » « less
  5. ; (, Proceedings of the 50th ACM Technical Symposium on Computer Science Education)
    The critical shortage of cyber security professionals has driven faculty interest in adding this to the curriculum, and it was added to the ACM/ IEEE Model Curriculum of 2013. This is a subject that demands hands-on exercises. There has been a modest increase in the number of such exercises, but the limit is usability. Most faculty do not have the time to create their own exercises, modify and install VMs, and set up assessment mechanisms. EDURange is a framework for accessing, developing and assessing interactive cybersecurity exercises. It has a range of exercises from introductory to advanced. We will demo an introductory exercise about using the command line and an advanced exercise about network scanning. We want to reach and engage as many faculty as possible, so that they can develop their own exercises. EDURange uses VMs in the cloud. Students only need an ssh-client. We have built tools to give faculty detailed information on how students are doing. This allows instructors to more easily see when students are stuck or heading in the wrong direction. The exercises we have created have manuals that instructors can use. Information about EDURange can be found at https://edurange.org. 
    more » « less
  • Citation Formats
  • MLA
  • APA
  • Chicago
  • BibTeX
  • Save / Share this Record
  • Send to Email