Keyword: artificial intelligence

ABSTRACT: Artificial intelligence (AI) has advanced rapidly in recent years and has become widely integrated across various fields, including education. This paper seeks to provide a comprehensive examination of the current state of AI in education by exploring its potential to revolutionize learning experiences through personalized approaches and data-driven multifaceted tools, while also highlighting important challenges that require consideration to ensure its responsible development and implementation. AI shows great promise to personalize instruction for each student based on assessments of their individual strengths, weaknesses, interests, and learning preferences. However, several challenges still necessitate careful examination of AI’s implications on education. Issues like algorithmic bias, the digital divide between socioeconomic groups, and concerns around reduced critical thinking skills all require addressing. If not developed and applied judiciously with these challenges in mind, AI risks exacerbating rather than alleviating existing inequities and hindering the cultivation of higher-order cognitive abilities. Through a comprehensive review of the relevant literature regarding AI’s current and potential roles in education, this paper identifies several key considerations around learning outcomes, challenges, and implications. Findings from interpretative structural modeling analysis also reveal the importance of balancing AI capabilities with safeguarding against potential downsides like those mentioned above. It is imperative that AI integration in education is approached responsibly with an understanding of both its promise and risks to learning to ensure its successful and equitable implementation for all students.

ABSTRACT: Amid the COVID-19 pandemic, design education experienced a significant shift as traditional studio teaching went online. This transition coincided with industry demands for adaptable, technology-proficient graduates prepared to work and collaborate as part of a decentralized workforce. This study examines how design educators in seven countries adapted their post-pandemic studio pedagogy to align with these industry needs. An online survey was used to efficiently reach the wide, geographically dispersed participant pool of educators. Findings indicate a rising acceptance of online technologies in studio teaching. The majority of design educators are now incorporating online elements into their design teaching. Pre-recorded lectures, online feedback and critique sessions, self-paced learning activities, and the use of cloud-based collaboration tools are among the most frequently employed methods. Nearly a third of surveyed educators are even considering teaching fully online design courses. This shift reflects a forward-thinking approach aimed at better aligning design education and industry. However, the study also highlights the importance of remaining open to disruptive technologies like generative artificial intelligence which is currently reshaping the design industry and work practices.

ABSTRACT: There is a growing interest in using generative artificial intelligence (AI) for educational purposes within the higher education environments, while AI applications (such as ChatGPT) can transform traditional teaching and learning methods. ChatGPT is an advanced AI tool that generates new content and human-like responses. The purpose of this paper is to use ChatGPT as a research assistant in order to explore ways AI can be harnessed to enhance pedagogical practices in higher education. This is a qualitative study, in which the output and responses generated by ChatGPT provided a starting point for the investigation. AI can be harnessed to enhance pedagogical practices in higher education in various ways including personalized learning, automated assessment and feedback generation, virtual assistants and chatbots, content creation, resource recommendation, time management, language translation and support, research assistance, simulations, and virtual labs. Other educational affordances that can strengthen the teaching and learning experience regard collaboration and communication, accessibility and inclusivity, as well as AI literacy. When implementing AI tools such as ChatGPT in higher education, ethical considerations (e.g., data privacy, transparency, accessibility, cultural sensitivity), potential misuses, and concerns need to also be addressed. Although ChatGPT can aid the generation of content and ideas for further exploration, it is a complementary-supportive tool, and its output necessitates human evaluation and review. The integration of ChatGPT and other AI tools in the higher educational process/practices has implications for educators, students, design of curricula, and university policy makers.