Innovative Teaching Methodology in Higher Education With Generative AI- Engineering Education in Developing Countries

Innovative Teaching Methodology in Higher Education With Generative AI- Engineering Education in Developing Countries

Laila Umme, Zain Ali Shah, Poshan Yu, James Mulli, Muhammad Khurram, Muzammil Ahmed
DOI: 10.4018/979-8-3693-0487-7.ch012
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Abstract

The rapidly evolving landscape of higher education is causing significant changes in the educational system. The needs of the digital world cannot be satisfied by conventional teaching and learning approaches. To improve educational quality, fostering global collaboration and knowledge sharing has become imperative for preparing students for a connected world. Therefore, technological integration in the classroom has become essential. Generative artificial intelligence (AI) has emerged as a powerful tool in this endeavour. In addition to examining the possible advantages and difficulties of incorporating technology in higher education, this study also assesses the extent of technology integration in teaching, referred to as innovative teaching methodologies (ITM). This chapter explores how generative AI can be leveraged to enhance teaching methods.
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1. Introduction

The rapidly evolving landscape of higher education is causing significant changes in the educational system. The needs of the digital world cannot be satisfied by conventional teaching and learning approaches. To improve educational quality, fostering global collaboration and knowledge sharing has become imperative for preparing students for a connected world. Therefore, technological integration in the classroom has become essential. Generative Artificial Intelligence (AI) has emerged as a powerful tool in this endeavour. In addition to examining the possible advantages and difficulties of incorporating technology in higher education, this study also assesses the extent of technology integration in teaching, referred to as Innovative Teaching methodologies (ITM). This chapter explores how generative AI can be leveraged to enhance teaching methods.

1.1. What is Generative AI

The term “GenAI” refers to artificial intelligence (AI) apps that are meant to employ a range of machine learning methods to produce new material (text, photos, video, music, artwork, synthetic data, and so on) (Kohnke et al., 2023a). GenAI applications are also known as “generative AI.” (Mishra et al., 2023). Even though this content is generated in response to user input, these applications are not explicitly programmed to generate content. Rather, these programs learn and analyze principles and statistical structures from a large dataset and generate new content with similar structures(Ray, 2023). These outputs may be in the same medium as the user's input or in a different medium, such as text-to-text, text-to-image, or image-to-video.

1.2. Gen AI in Education

Although, arguably, there are infinite applications for general artificial intelligence, one area in which it could be especially useful is education. The development of GenAI could result in innovative teaching methodologies. A wide range of benefits of utilizing ITM include customized learning experiences by adapting to the levels of the learners, intelligent tutoring, automated grading, content creation, personalized career advice, an assistant for teachers, assisting in efficiently providing individualized feedback, and support collaborative learning and research among students(Hsu & Ching, 2023) (Bozkurt & Sharma, 2023). On the other hand, there is also a wide range of potential drawbacks, such as bias in data and algorithms, a lack of transparency, an overreliance on AI, concerns regarding data privacy and security, access and equity, automation, and the possibility of a singularity(Pavlik, 2023). To maximize GenAI's potential, one must engage in meticulous planning and continual education. Students and teachers must acquire the skills and experiences to give effective and meaningful prompts. This will allow them to direct GenAI to react with helpful information (Hsu & Ching, 2023).

The first exposure of many educators to GenAI tools prompted concerns about widespread cheating and plagiarism. A few educational institutions entered a state of hysteria, fearing that these tools would profoundly undermine academic integrity and negatively impact student learning(Thi Thuy An Ngo, 2023).

Educators at the cutting edge of change have a special responsibility and an important part to play in both the facilitation of learning and the empowerment of students by maximizing the potential of the most recent technological advances(Hsu & Ching, 2023).

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