Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
A Conversational AI Bot for Efficient Learning: A Prototypical Design
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Digital Services and Systems.ORCID iD: 0000-0003-4250-4752
College of Information Technology, United Arab Emirates University, Al Ain P.O. Box 17551, United Arab Emirates.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.
2024 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 12, p. 154877-154887Article in journal (Refereed) Published
Abstract [en]

In an ideal world, the way we learn should align with the way we are taught. However, this is not always the case, and we need to rethink our approach to teaching in academic institutions such as universities to help students learn at their own pace, where innovative technology plays a vital role in accomplishing this goal. This study proposes the use of artificial intelligence (AI) as a means of teaching in academic institutions. Specifically, an AI-powered conversational bot called conversational AI bot for efficient learning (COFFEE) is designed, implemented, and will used as an adaptive learning technology. COFFEE will analyze the students’ learning habits and adjust the teaching style based on their strengths and weaknesses. Teaching and learning are closely linked to the disciplinary areas of education, behavior, and technology. By combining these areas into a conversational bot equipped with AI algorithms and access to big data, we can disrupt traditional teaching methods. This will benefit students who require special attention, such as those with severe learning disabilities who may not receive the necessary attention from instructors due to time constraints or lack of experience. COFFEE is a valuable tool that can be used in academic institutions at all levels, including primary and secondary education. It will be based on the latest advancements in AI and data science and will be designed to be feasible, reliable, and customizable.

Place, publisher, year, edition, pages
IEEE, 2024. Vol. 12, p. 154877-154887
Keywords [en]
Conversational systems, Artificial intelligence, adaptive learning, severely challenged learners
National Category
Computer Systems
Research subject
Information Systems
Identifiers
URN: urn:nbn:se:ltu:diva-110202DOI: 10.1109/ACCESS.2024.3476953ISI: 001346090800001Scopus ID: 2-s2.0-85207353334OAI: oai:DiVA.org:ltu-110202DiVA, id: diva2:1902605
Projects
COFFEE
Note

Validerad;2024;Nivå 2;2024-11-11 (joosat);

Funder: Ministry of Education (MoE), Mohammed Bin Rashid for Smart Learning Program (MBRSLP), United Arab Emirates (Grant 21T062);

Full text license: CC BY-NC-ND

Available from: 2024-10-01 Created: 2024-10-01 Last updated: 2025-10-21Bibliographically approved

Open Access in DiVA

fulltext(2335 kB)149 downloads
File information
File name FULLTEXT01.pdfFile size 2335 kBChecksum SHA-512
7e65867ff85cb62b13a703108eb6d7af933a2c2cf60ffa547507e6d32c3adde4ec0e93367549cd5595005b86eb22e0a5f44ba60e36a6694b7230152c65ba0ed0
Type fulltextMimetype application/pdf

Other links

Publisher's full textScopus

Authority records

Elragal, AhmedAndersson, IngemarNilsson, Jörgen

Search in DiVA

By author/editor
Elragal, AhmedAndersson, IngemarNilsson, Jörgen
By organisation
Digital Services and SystemsComputer Science
In the same journal
IEEE Access
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 150 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 550 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf