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All Journal PROCEEDING IC-ITECHS 2014
Yue Liu
University of Oslo
Computer Science & IT Education

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A Normative Study of Generative Artificial Intelligence in Higher Education and Implications Ji, Mingyang; Liu, Yue
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1560

Abstract

Generative Artificial Intelligence (AI) has been developing rapidly and its application in higher education is becoming more and more widespread. The action research project of generative AI application by teachers in Tianhe District, Guangzhou City and the application case of Chat Generative Pre-trained Transformer are selected to illustrate that generative AI has brought unprecedented changes to many aspects of education and teaching, academic research, student management and services, and intelligent campus construction. However, along with these extensive applications, a series of ethical risk issues have gradually come to the fore. According to existing research, four major ethical risks of generative AI have been proposed: technology ontology risk, educational data risk, machine algorithm risk, and educational application risk. Combined with the literature "Eco-ethics and Risk Mitigation of Generative Artificial Intelligence Educational Applications", we conduct an in-depth analysis and put forward countermeasure suggestions for the risks faced by generative artificial intelligence in higher education. It helps to promote the healthy and sustainable development of generative AI in higher education and the improvement of education quality.
Practical Exploration of College Students' Career Planning in the Perspective of Artificial Intelligence - Analysis Based on the GROW Zhao, Lizhu; Liu, Yue
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1636

Abstract

With the rapid advancement of artificial intelligence technology, college students are facing unprecedented opportunities and challenges in career planning. This paper aims to explore how college students can effectively plan their careers in the context of the artificial intelligence era, and conducts practical exploration based on the GROW model. The GROW model is a widely used framework in coaching and consulting fields for setting goals and solving problems, which covers four key stages: goal (Goal), reality (Reality), options (Options), and will (Will). The article analyzes the impact of artificial intelligence on the job market and discusses how college students should use artificial intelligence for career assessment, how to accurately understand the current situation of themselves and the career environment, how to master the application of artificial intelligence in personalized career planning, and how to combine artificial intelligence for education and training related to job seeking. The research results show that the GROW model can assist college students in organizing their career planning in the artificial intelligence era, thereby enhancing their employment competitiveness and career adaptability. In addition, the theoretical guidance and practical paths of career planning in the artificial intelligence era have significant practical significance and application value for college students.
Progress in the Application of Artificial Intelligence in Mental Health Education for College Students in Universities Shuai, Peng; Liu, Yue
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1640

Abstract

The purpose of this paper is to explore how artificial intelligence technology can help mental health education in colleges and universities, analyse the progress of its application in personalised education, mental health monitoring and evaluation, ecological transient intervention, etc., and analyse its current situation, strengths, challenges, and future development direction.
Review and Prospect of Research on the Application of VR Technology in Education and Teaching Analysis based on citespace knowledge graphs Zhang, Ximu; Liu, Yue
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1644

Abstract

This paper analyzes 863 China Knowledge Network (CNN) source documents using CiteSpaceV6.3.R1 software, and sorts out the current research status and development trend of VR technology in education and teaching by mapping the relevant knowledge map of keywords, issuing authors, and issuing institutions. It is found that the research on VR technology in education and teaching has experienced a slow growth from its start in 1996 to 2015, and then a significant growth after 2017 with interdisciplinary characteristics. In terms of authors and institutions, as the cooperation on this related topic is still small and very scattered, but there are some research teams cooperating with each other, and the research hotspots cover virtual reality, information technology, vr technology, education and teaching, and teaching tools. In the future, research in this field should show the following trends: deepen interdisciplinary integration and expand VR education applications; strengthen empirical research and verify the effectiveness of the technology; pay attention to ethical privacy and build a responsible education ecology.
Application Practice and Innovative Exploration of AIED Technology in the Education of Rural Left-behind Children Yi, Xiya; Liu, Yue
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1645

Abstract

This study focuses on the application practice and innovative exploration of Artificial Intelligence in Education (AIED) in promoting the education of rural left-behind children. By comprehensively utilizing methods such as literature review and field case analysis, and through in-depth mining and visual presentation of core literature in the field of AIED over the past five years, the study aims to reveal its positive roles in balanced allocation of educational resources, improvement of teaching quality, and innovation of learning modes. The research findings indicate that AIED technology effectively alleviates the shortage of educational resources faced by rural left-behind children, and significantly narrows the urban-rural education gap, by integrating high-quality educational resources from across the country and even globally, building personalized learning platforms, and implementing a dual-teacher teaching mode of "online master teacher + offline tutoring". In terms of enhancing learning outcomes, AIED technology not only improves students' academic performance but also strengthens the mental health of left-behind children through intelligent mental health monitoring and intervention.
An Exploration of AI-Assisted Tools in the Education of Children with Autism from the Perspective of Inclusive Education Yan, Yili; Liu, Yue
IC-ITECHS Vol 5 No 1 (2024): IC-ITECHS
Publisher : LPPM STIKI Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32664/ic-itechs.v5i1.1650

Abstract

With the rapid development of Artificial Intelligence (AI) technology and its widespread use in education, it is becoming increasingly feasible to build more personalized and supportive learning environments for children with autism. The aim of this paper is to explore how AI-assisted tools can promote inclusive education, with a particular focus on the specific group of children with autism. Through keyword searches of relevant papers in mainstream conferences and journals, as well as a comprehensive analysis of existing literature and case studies, we have conducted a systematic review of AI as an aid to promote inclusive education, aiming to provide valuable references for subsequent research. Studies have shown that when AI technology is appropriately applied, it can significantly enhance the social interaction skills, emotional regulation, and academic performance of children with autism. However, it is important to note that most of the current research findings focus on work published within the last few years, and thus may not fully cover relevant contributions from earlier periods. In summary, by examining the current situation of AI applied to the education of children with autism in China, we can see that AI as an assistive tool shows great potential for development and plays a crucial role in realizing inclusive education in the true sense of the word. This not only promotes educational equity, but also provides more opportunities for each child to grow.
Co-Authors Ji, Mingyang Shuai, Peng Yan, Yili Yi, Xiya Yun Wan Zhang, Ximu Zhao, Lizhu