Envisioning the future of learning and teaching engineering in the artificial intelligence era: Opportunities and challenges

Menekşe, Muhsin

doi:10.1002/jee.20539

Cited by 19 publications

(4 citation statements)

References 31 publications

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“…This paper is funded by the teaching reform project of Zhujiang College of Tianjin University of Finance and Economics (ZJJG23-11Y), the key accounting research project of Tianjin Municipal Finance Bureau and Tianjin Accounting Society for 2023-2024 (Y230505), Humanities and Social Sciences Research Of the Ministry of Education(18YJA880064), the Tianjin statistical scientific research project, which is a deep study of Beijing-Tianjin-Hebei artificial intelligence industry in the context of "Ten Actions"(TJ2023KY02), and the Innovation and Practice of Collaborative AI Popularization Education Mechanism for New Liberal Arts, Politics, Industry, University, and Research (ZJJG21-07Z). 1…”

Section: Acknowledgementsmentioning

confidence: 99%

The Challenges Faced by AI Education in China's Liberal Arts Universities

2024

IJNDE

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With the rapid development of science and technology, artificial intelligence education has gradually become a new topic in the field of education. However, the current artificial intelligence education is facing many challenges, such as low acceptance, lack of teachers, poor learning environment and lack of funds, resulting in relatively few practical research. In order to promote the development of artificial intelligence education, we should increase publicity and break the shackles of traditional ideas; Speed up the improvement of teaching system, create a good academic atmosphere; And strengthen cooperation with enterprises, jointly build experimental research base platform. Through these initiatives, we are expected to push AI education to a new level and cultivate more talents with innovative spirit and practical ability.

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Section: Acknowledgementsmentioning

confidence: 99%

The Challenges Faced by AI Education in China's Liberal Arts Universities

2024

IJNDE

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“…Sánchez-Ruiz, et al [106] examined the role of ChatGPT in the reinforcement of mathematical concepts. Qadir [4], Johri, et al [8], Berdanier and Alley [107] and Menekse [7] discussed areas of applications/concerns and encouraged engineering educators and policymakers to explore strategies for the ethical and efficient integration of AI tools across diverse aspects of the engineering education. Analyses by Carvallo and Erazo-Garzón [108] and Kwan [109] showed how ChatGPT can be employed as a micro-learning tool for Requirement Engineering and Engineering Statistics.…”

Section: Implications Of Genai Tools For Mechanical Engineeringmentioning

confidence: 99%

“…However, our understanding of the far-reaching pros and cons that this new chapter in digital competency portends across various domains is only just taking shape. To underscore this, a string of recent studies and commentaries in this area [3][4][5][6][7][8] have revealed how the discourse around GenAI risks has triggered policy measures to confront the hard question of what to do with these tools. Yet, while many of the prior studies have conveyed the menacing impact of GenAI tools on the education industry and various business sectors [9][10][11], this work is motivated by the fact that there are still some grey areas that demand further attention.…”

Section: Introductionmentioning

confidence: 99%

Bard, ChatGPT and 3DGPT: A Scientometric Analysis of Generative AI Tools and Assessment of Implications for Mechanical Engineering Education

Mustapha,

Yap,

Abakr

2024

Preprint

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Following the recent rise in generative artificial intelligence (GenAI) tools, fundamental questions about their wider impacts have started reverberating around various disciplines. To this end, this work was undertaken: (i) firstly, to track the unfolding landscape of general issues surrounding GenAI tools; (ii) secondly, as an exploratory inquiry to elucidate the specific opportunities and limitations of GenAI tools as part of the technology-assisted enhancement of mechanical engineering education and professional practices. As part of the investigation, we conduct and present a brief scientometric analysis of recently published studies to unravel the emerging trend on the subject matter. Further, experimentation was done with selected GenAI tools (Bard, ChatGPT, DALL.E, and 3DGPT) for mechanical engineering-related tasks. The study identified several pedagogical and professional opportunities and guidelines for deploying GenAI tools in mechanical engineering. Besides, the study highlights some pitfalls of GenAI tools for analytical reasoning tasks (e.g., subtle errors in computation involving unit conversions) and sketching/image generation tasks (e.g., poor demonstration of symmetry).

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“…One significant area that stands to benefit from AI's transformative potential is Islamic Da'wah-the practice of inviting others to understand and embrace Islam (Saputra et al, 2024). As Da'wah traditionally relies on personal interaction and community engagement, integrating AI offers unprecedented opportunities to enhance its reach, effectiveness, and adaptability (Menekse, 2023). However, this integration also presents unique challenges that must be addressed to ensure the authenticity and ethical dissemination of Islamic teachings (Ibegbulam C.M et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

Communication Strategies in Islamic Da'wah Opportunities and Challenges in the Era of Artificial Intelligence

Marlina,

Yaza Azahra Ulya

2024

FIJC

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The integration of artificial intelligence (AI) into communication strategies has revolutionized various fields, including Islamic Da'wah. This study explores how AI technologies can be utilized to enhance the dissemination of Islamic teachings, examining both the opportunities and challenges this integration presents. This research employs a mixed-methods approach, combining qualitative analysis of AI applications in religious contexts with quantitative surveys of Da'wah practitioners and their audiences. The findings reveal that AI technologies, such as chatbots, natural language processing, and machine learning, significantly enhance the reach and personalization of Da'wah efforts. AI enables interactive and engaging communication, breaking down geographical and linguistic barriers. However, the results also highlight several challenges, including ethical concerns regarding the accuracy of AI-generated content, the potential for misinformation, and the digital divide that limits access to these technologies. The study concludes that while AI offers substantial opportunities to innovate Islamic Da'wah, careful consideration must be given to ethical implications and practical limitations. The collaboration between AI experts and Islamic scholars is essential to ensure that AI-driven Da'wah initiatives are both effective and respectful of Islamic values. Balancing AI's advantages with its challenges can lead to more effective and inclusive communication strategies in the digital era, ultimately enriching the practice of Islamic propagation.

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Envisioning the future of learning and teaching engineering in the artificial intelligence era: Opportunities and challenges

Cited by 19 publications

References 31 publications

The Challenges Faced by AI Education in China's Liberal Arts Universities

The Challenges Faced by AI Education in China's Liberal Arts Universities

Bard, ChatGPT and 3DGPT: A Scientometric Analysis of Generative AI Tools and Assessment of Implications for Mechanical Engineering Education

Communication Strategies in Islamic Da'wah Opportunities and Challenges in the Era of Artificial Intelligence

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