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AI Education in Massive Open Online Courses: A Content Analysis | IEEE Conference Publication | IEEE Xplore

AI Education in Massive Open Online Courses: A Content Analysis


Abstract:

This study aims to explore the current state of AI education in massive open online courses (MOOCs). We screened 128 sample MOOC courses from 10 learning platforms and co...Show More

Abstract:

This study aims to explore the current state of AI education in massive open online courses (MOOCs). We screened 128 sample MOOC courses from 10 learning platforms and coded information on course overviews, content outlines, recommended materials and teaching methods as a way to understand the content and teaching methods of AI education on MOOC platforms. The results show that: (1) Coursera and Edx platforms offer the largest number of ESD-related courses, the organizations offering MOOCs are mostly companies and universities, and the number of AI education-related courses started from 2012 to the present has increased year by year. The average number of participants is exceeds 120,000, and AI courses are currently very popular; (2) Core algorithms and topics related to typical applications are the main content of AI education; (3) Online procedural teaching, task-driven teaching and online collaborative learning are the most used pedagogical methods in MOOCs at this stage. However, pedagogical approaches such as scenario-based learning and project-based learning are not yet fully utilized in the MOOC environment. Our findings suggest that MOOC AI education in research a practical and innovative approach in preparing and learning AI education-related MOOC courses.
Date of Conference: 28-30 May 2021
Date Added to IEEE Xplore: 06 September 2021
ISBN Information:
Conference Location: Beijing, China
Citations are not available for this document.

I. Introduction

Artificial intelligence (AI) is widely considered to be the new productivity revolution after the information technology revolution. Most people know or understand what AI-based services and devices are available, but few know the technology behind them [1]. Therefore, it is very important to familiarize people with the technical background and basic concepts of AI. After entering a new wave, the strategic plans on AI developed by the United States [2], China [3], the United Kingdom [4], France [5], Japan [6], and Singapore [7] have raised the application of AI education to a national strategic level, making the new generation of AI more widely concerned. At present, AI is developing rapidly and deeply affecting human work and life, and promoting AI education is fundamental and forward-looking for economic development and social development.

Cites in Papers - |

Cites in Papers - IEEE (7)

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1.
Bryant Fernandez, Marisa Karsen, "Artificial Intelligence in Massive Open Online Course: A Systematic Literature Review", 2024 International Seminar on Application for Technology of Information and Communication (iSemantic), pp.201-206, 2024.
2.
Jadga Hügle, Tilman Michaeli, Stefan Seegerer, "Exploring the World of AI: Experiences from a MOOC on Artificial Intelligence for a Broad Audience", 2024 IEEE 3rd German Education Conference (GECon), pp.1-6, 2024.
3.
Mikhail Buinevich, Alexey Shkerin, Tatyana Smolentseva, Maria Puchkova, "On the Implementation of Residual Knowledge Continuous Assessment Technology in an Educational Organization Using Artificial Intelligence Tools", 2024 4th International Conference on Technology Enhanced Learning in Higher Education (TELE), pp.111-114, 2024.
4.
Aminul Islam, Rifat Ali, Gursharan Singh, Bariul Islam, Aftabul Islam, Sazzad Hossain, "An Evaluation of AI-Enhanced Collaborative Learning Platforms", 2024 International Conference on Communication, Computer Sciences and Engineering (IC3SE), pp.207-211, 2024.
5.
Nadezhda I. Gallini, Igor Yu. Grishin, Marianna A. Latysheva, Alexander A. Denisenko, Maksim N. Popov, "Scientific Gamification of Students in the Study of Artificial Intelligence Technology", 2023 Seminar on Information Computing and Processing (ICP), pp.68-71, 2023.
6.
Zhuoran Li, Zehui Zhan, "Model Selection and Evaluation for Learning Analytics via Interpretable Machine Learning", 2023 5th International Conference on Computer Science and Technologies in Education (CSTE), pp.130-140, 2023.
7.
Yuchen Chen, Xinli Zhang, Yiwei Bao, Lailin Hu, "Exploring Elementary Students’ Perceptions of Robots: The Draw-A-Robot Test", 2022 4th International Conference on Computer Science and Technologies in Education (CSTE), pp.246-250, 2022.

Cites in Papers - Other Publishers (3)

1.
Hugo-Henrik Hachem, Fredrik Heintz, "Where is the reflexive ‘I’ in the Elements of AI?", International Journal of Lifelong Education, pp.1, 2024.
2.
Duncan Nyale, Simon Karume, Andrew Kipkebut, "A comprehensive analysis of the role of artificial intelligence in aligning tertiary institutions academic programs to the emerging digital enterprise", Education and Information Technologies, 2024.
3.
Poshan Yu, Siying Wang, "An Examination and Analysis of the Integration of Artificial Intelligence and Gamification in the Pedagogy of Chinese Higher Education", Engaged Learning and Innovative Teaching in Higher Education, pp.29, 2024.

References

References is not available for this document.