An University-Industry Collaborative Mentoring Program for Improving Students’ Practical Skill Hae-Kag Lee, Youngcheol Joo, Dae-Chul Cho Soonchunhyang University, 646 Eupnae, Shinchang, Asan, 336-745 Korea Background Technologies are consequently changing rapidly and the gap between engineering education quality and the industrial requirements is getting larger The co-education models such as internships and invited lectures on special subjects were the popular in Korea, however, many problems have been exposed during carrying-out these programs To resolve these problems, we proposed an outcome-based industry-university co-education model Proposed Model Several number of engineering groups are organized according to their own major and interests Group managers and company-driven projects are assigned to each group As the group managers, university faculties and company experts guide the intensive training-course on the up-to-date engineering issues They evaluate students’ achievements, and feed the results back to students

Pilot Programs based on the Proposed Model A special course for IT convergence to vehicle applications The practical course for smart-phone applications A cultivation program for the expert of ATmega128 A basic program for the application on the smart-phone platform A practical course for international mobile programming Statistical Analysis: Descriptive Evaluation After completing the courses of programs, we have carried out a survey targeting the participants, and had interviews with them in order to analyze and improve the programs The results of the survey are summarized in Table 1 The question given to the 58 students is "The education programs help you to acquire expertise in your favorite subjects?“ Interpretation of the results: Students’ satisfaction for the proposed model was increased, comparing with the two traditional models (internship and invited lecture) Table 1. Summary of the Survey Proposed Model Internship Invited Lecture Absolutely Agree 15(23%) 1(1 %) 2 (3 %) Agree 21(32%) 15 (20 %) 14 (22 %) Neutral 22(34%) 41 (63 %) 38 (59 %) Disagree 5(8%) 6 (9 %) 7 (11 %) Absolutely Disagree 2(3%) 4 (6 %) Sum 65(100%) 65 (100%) 65 (100 %)

Statistical Analysis: ANOVA Evaluation A statistical test (F-test, so-called ANOVA) test confirms that students’ satisfaction for the proposed model was increased as follows Interpretation of the results: By F-test, the null hypothesis can be rejected with the Significance probability 0.0%. This means that the proposed model satisfies much more than the 2 traditional models Table 2. Result of ANOVA Variations Degree of Freedom Mean Square F-value Sig. p Between Group 16.44 2 8.22 10.473 0.000 Within Group 150.71 192 0.785 Total 167.15 194 Discussion – Success Factors Students were interested in and satisfied with the programs: The reason is that the subjects are related to students’ favorites and up-to-date topics  Students were mentored by company experts, who are role models for the students, which attracted the students’ attentions Students’ communication skill and teamwork have been upgraded: Every outcome has been made in cooperation, and they have a presentation time and a conversation time at every meeting For the improvement of the proposed model, qualified teaching skills of the industry mentors and more frequent contacts between the students and the industry mentors are suggested