Developing a training curriculum application in artificial Intelligence Careers for Undergraduates in the Digital Age

Abstract

Background and Aims: In the digital era, where technology is rapidly evolving, Artificial Intelligence (AI) has become a crucial tool for enhancing work efficiency and fostering sustainable careers. Developing a training curriculum that enables undergraduate students to apply AI is therefore a key strategy in preparing them for the modern labor market. This research aims to: (1) examine the fundamental information and the necessity of developing a training curriculum on the application of artificial intelligence for sustainable careers among undergraduate students in the digital age; (2) develop the said curriculum; (3) implement the training curriculum on the application of artificial intelligence for sustainable careers among undergraduate students in the digital age; and (4) evaluate the effectiveness of the training curriculum.

Methodology: This study is a research and development (R&D) project, which is divided into four phases. Phase 1 involves studying the fundamental information, current problems, and training needs. The key informants in this phase consist of five purposively selected experts, and the training needs were also examined using a sample of 227 undergraduate students. The research instruments include an interview form and a questionnaire. Phase 2 focuses on developing the training curriculum. The draft curriculum was evaluated by five experts using an assessment form to determine its appropriateness and consistency. Phase 3 involves implementing the training curriculum with a purposive sample of 30 participants. The research instruments in this phase include the training curriculum and a satisfaction questionnaire. Phase 4 is the evaluation of the training curriculum, using a purposive sample of 34 participants. The research instrument used in this phase is a questionnaire.

Results: The results of the research showed that 1) the basic education information, conditions, problems and the need for training in general are at a very high level. Use new technologies in the digital age, such as digital marketing, knowledge of artificial intelligence to create a competitive advantage and use artificial intelligence in careers. Undergraduate students in the digital age have 6 elements: principles and rationale, objectives, duration, training, content, activities, training, media, and measurement and evaluation. The curriculum has a high degree of consistency and appropriateness and can be used in training. 3) When implementing the curriculum, it is found that all trainees have an understanding of the training curriculum and the application of artificial intelligence technology. In the experiment for undergraduate students in the digital age, it was found that all the trainees had the knowledge and understanding of the training course Application of artificial intelligence technology in practice for undergraduate students in the digital age. There is a significant difference between the pre-training and post-training achievement scores at the .05 level, with scores after the training being higher than the training. Inventing experiences for undergraduate students in the digital era using the ZIP model (CIPP Model) by professors and lecturers. Overall, it is at a very high level. When considering each aspect, it is found that the most average aspect is the secondary productivity aspect. Below are the process and input factors, respectively. The evaluation results of the training course application of artificial intelligence technology in the field of experience for undergraduate students in the digital age by the participants of the training, with the picture included at a high level. When looking at each aspect, it is found that the aspect with the highest average value is the input aspect, followed by the output aspect and the process aspect, respectively.

Conclusion: The development of an AI training curriculum for students in the digital era is both necessary and well-received by both experts and trainees. The curriculum content was comprehensively designed and evaluated to ensure it aligns with actual needs. The training significantly enhanced knowledge and understanding of AI, which reflects its benefits in preparing students for the labor market. Additionally, it provides new knowledge that emphasizes the integration of technology with sustainable and creative career development in the future.