IDEAS home Printed from https://ideas.repec.org/a/cvp/aiciss/v2y2024i1id16.html

Methodology to Improve Programming with Artificial Intelligence

Author

Listed:
  • Elizabeth Patricia Pommier Gallo

    (Higher University of San Andrés)

Abstract

This article explores the potential of artificial intelligence technologies to enhance and personalize programming education at the university level. Concepts such as advanced personalization, contextual recommendations, and interactive experiences are discussed to further engage students. Additionally, several AI tools that can be used as programming instruments to facilitate learning are presented. A review of recent literature indicates a growing interest in the application of techniques such as adaptive learning, augmented reality, and natural language processing in this field.

Suggested Citation

Handle: RePEc:cvp:aiciss:v:2:y:2024:i:1:id:16
DOI: 10.69821/AICIS.v2i1.16
as

Download full text from publisher

File URL: https://plagcis.com/index.php/aicis/article/view/16
File Function: Abstract page
Download Restriction: no

File URL: https://plagcis.com/index.php/aicis/article/download/16/17
File Function: Full text
Download Restriction: no

File URL: https://libkey.io/10.69821/AICIS.v2i1.16?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Keywords

;
;
;
;

Statistics

Access and download statistics

Corrections

All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:cvp:aiciss:v:2:y:2024:i:1:id:16. See general information about how to correct material in RePEc.

If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

We have no bibliographic references for this item. You can help adding them by using this form .

If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Daniel Roman Acosta (email available below). General contact details of provider: https://plagcis.com/index.php/aicis .

Please note that corrections may take a couple of weeks to filter through the various RePEc services.

IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.