1. 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, 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

2. 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 %)

3. 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