Syllabus Design and Planning with Artificial Intelligence and the Potential of Generative AI

被引：0

作者：

Kozhanov, Murat ^{[1
]}

Mosavi, Amir ^{[2
,3
]}

Amirov, Azamat ^{[1
]}

Kaibassova, Dinara ^{[4
]}

Poser, Valeria ^{[5
]}

Shakhatova, Aliya ^{[1
]}

La Lira ^{[6
]}

Eigner, Gyorgy ^{[5
]}

机构：

[1] Abylkas Sagninov Karaganda Tech Univ, Dept Informat & Comp Syst, Kazakhstan, Kazakhstan

[2] Obuda Univ, Budapest, Hungary

[3] Ludovika Univ Publ Serv, Budapest, Hungary

[4] Astana IT Univ, Dept Comp Engn, Astana, Kazakhstan

[5] Obuda Univ Budapest, John von Neumann Fac Informat, Budapest, Hungary

[6] LN Gumilyov Eurasian Natl Univ, Dept Informat Syst, Astana, Kazakhstan

来源：

2024 IEEE 24TH INTERNATIONAL SYMPOSIUM ON COMPUTATIONAL INTELLIGENCE AND INFORMATICS, CINTI | 2024年

关键词：

syllabus design; educational framework; learning objectives; artificial intelligence; tutoring systems; educational data analysis; personalized learning; syllabus optimization; syllabus; machine learning; deep learning; generative AI; ChatGPT; large language models; data science; big data; AI; XAI; teaching; learning; education; higher education; research; survey; review; Systematic review; literature review; mathematics; applied mathematics; applied informatics; information sciences; information systems; data mining; soft computing; curriculum; SKILLS;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

This article introduces a methodology to identify the fundamental studies carried out using artificial intelligence for syllabus design and planning. A taxonomy of the most relevant studies is presented based on the method and applications. The main studies in the field are reviewed and their contributions are emphasized. The meta-analysis of the results presents the extent and applicability of artificial intelligence in syllabus design and planning. The result shows the essential role of machine learning in the development and improving the process of syllabus design and planning.

引用

页码：257 / 264

页数：8

共 34 条

[1] The Use of ChatGPT for Education Modules on Integrated Pharmacotherapy of Infectious Disease: Educators' Perspectives [J].

Al-Worafi, Yaser Mohammed ;

Goh, Khang Wen ;

Hermansyah, Andi ;

Tan, Ching Siang ;

Ming, Long Chiau .

JMIR MEDICAL EDUCATION, 2024, 10

[2]

Ardabili S., 2023, 2023 IEEE 17th International Symposium on Applied Computational Intelligence and Informatics (SACI), P000433, DOI 10.1109/SACI58269.2023.10158650

[3]

Ardabili S., 2023, 2023 IEEE 21 JUB INT

[4]

Ardabili S., 2023, 2023 IEEE 17 INT S A

[5]

Blaskovics B, 2024, ACTA POLYTECH HUNG, V21, P9

[6] Sustainable Curriculum Planning for Artificial Intelligence Education: A Self-determination Theory Perspective [J].

Chiu, Thomas K. F. ;

Chai, Ching-sing .

SUSTAINABILITY, 2020, 12 (14)

[7]

Collier M., 2018, CEUR WORKSHOP P, V2259, P150

[8] Developing communication and thinking skills in English as a Foreign Language Education undergraduate students: a proposal for a syllabus model [J].

Delgado-Crespo, Violeta ;

Gil, Vicky ;

Mur-Duenas, Pilar ;

Pellicer-Ortin, Silvia .

ONOMAZEIN, 2020, :104-125

[9]

Epishkina A, 2016, 2016 THIRD INTERNATIONAL CONFERENCE ON DIGITAL INFORMATION PROCESSING, DATA MINING, AND WIRELESS COMMUNICATIONS (DIPDMWC), P194, DOI 10.1109/DIPDMWC.2016.7529388

[10]

Foley John, 2016, Advances in Information Retrieval. 38th European Conference on IR Research, ECIR 2016. Proceedings

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