• Journal of Practical Engineering Education
• /
• v.16 no.5_spc
• /
• pp.643-651
• /
• 2024

This study aims to design and implement an AI mock interview system for Computer Science (CS) interview preparation using LLM (Large Language Model) based ChatGPT. The system utilizes AI's natural language processing and speech recognition capabilities to analyze and provide real-time feedback on interview responses, helping users improve their weaknesses during the preparation process. According to a survey, 90% of users reported that the real-time feedback function provided substantial assistance in their interview preparation. Key features include GPT prompt generation and Speech-to-Text functionality, which converts voice data into text. The system received positive evaluations for its response time and feedback accuracy. Future research will explore expanding the range of question types and applying the system to various industries.

• Journal of Digital Convergence
• /
• v.14 no.10
• /
• pp.195-203
• /
• 2016

This paper, which was performed for an environmental analysis step in the information strategy planning, proposes the capable method of building a foundation which can improve the quality of results. An existing environment analyzing method is composed with external environment analysis, internal capacity analysis and information direction deriving activity. At the first stage of environment analysis, with current state analysis, preparation of interview with major stakeholder of project, carrying out the interview, added the activities to gain initial direction of the information. Then it applied a key-questioning of convergence scenario-based analysis for external environment analysis and internal capacity analysis. Performing the external environment analysis and internal capacity analysis with analysis model, convergence application of scenario-based analysis model was enabled to verify information direction on the initial setting. The result was applied at actual project site and was enabled to perform the project quickly, and to improve the quality of project results.

• Management & Information Systems Review
• /
• v.33 no.4
• /
• pp.1-19
• /
• 2014

This Study focuses on the university students' job attitude and cost of employment preparation. Nowadays, many university and college students spend a big money improving their employment preparation such as studying on foreign language, getting various kinds of certificates and tooth correction, clothing etc. for employment interview. This study investigated the cost of employment preparation and Job attitude of the 484 students of universities and colleges, the analysis of the collected data was conducted with SPSS 12.0 program by using frequency analysis, factor analysis, reliability assessment, correlation test, t-test, one way ANOVA. The university students paid more costs of employment preparation such as a language training abroad, a private training, and clothing than the college students. Also, Allied social science students paid more costs of the language training abroad, and clothing than allied computer science and allied design students. The female students paid more money than male students for tooth correction. The costs of language training abroad, private training and clothing are affected the students' socioeconomic background of a home. Regarding the job attitude of students, the university students are feeling more positive than the college students of the employment efficacy and cognition of the education environment. As result, the differences in the cost of employment preparation by the university type, faculty major course, their sex, and socioeconomic background of a home. The student's employment-efficacy and cognition of the education environment are also differences between the university and the college students. So, to improve the job attitude, developing their ability for employment preparation, educational programs should be arranged in school and continuous researches are needed.