Seminar: Generative AI in Education
One of the highlights of the CTL Awards event was a seminar by Professor Wisnu Jatmiko from the University of Indonesia about the current state of AI development and how we can utilize it in Education. Professor Wisnu explained how AI can be used for the 3 missions of higher education: for Education, for Research, and for Public Service.
AI for Education
Professor Wisnu explained that in education, what AI can do better than conventional education is to personalize learning for each student. AI can analyze a specific path a student can take based on their specific needs and then tutor the student to reach their goal. AI can also be used to automate assessments, grading, and giving feedback. Although there is still a lot of work to be done to ensure the robustness and fairness of these systems, AI has the potential to be a powerful tool in assisting the process of education.
AI for Public Service
Another thing that can utilize AI well is to build a robust career guidance for students. As with in education, AI is good in assessing and identifying the current situation of every student, and when the result of the assessment is compared with the goal of that student, AI will be able to guide the student to reach it. AI can be used to identify the upskilling need of the student, mentor the student in CV building, interview practice, and many more. As more robust technology is being developed, AI can be utilized together by the corporations in the industry and the universities, helping direct the students into specific career paths which are needed in the industry.
AI for Research
In research, AI can be used in many different steps of the research process. In research design, AI can be used to generate ideas for research questions and suggest data sources. AI also can be used for data analysis in the process of coding and interpreting the result. In the writing process, AI can be used to improve writing quality, formatting reference and citation, and to translate writing.
However, Professor Wisnu also gave an advice (and warning) about using AI for these processes:
We should only use it if we have the expertise to verify the results and are willing to accept full responsibility for the published output. If we are able to do so, then using AI will be highly beneficial for us as a researcher.
Want to know more? You may access the seminar’s contents here or contact us at edu.tech@uph.edu
