• Educational Technology International
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• v.11 no.2
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• pp.123-148
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• 2010

Relationships between students' perception of psychological distance with online professors and their academic learning achievement and their intention to continue online learning were examined. The courses selected for this study are two online courses: 1) 'English Grammar' and 2) 'TOEIC (Test of English for International Communication) Preparation' offered by a campus-based, medium-sized university. This study employed a mixed-methods approach by conducting a survey as well as one-on-one interviews with students. Students who feel psychologically distant with the online professors show significantly lower degree of perceived learning achievement, and higher tendency not to take online courses any more. All the three scales measuring the psychological distance -mutual awareness, connectedness, and availability- with professors turned out to be significantly related with students' perceived learning achievement. According to the result of the interview data analysis, the student interviewees unanimously said that the university should limit the number of online courses that students can register in a semester to one or two courses. Most students regard low interactivity of online learning as inevitable phenomenon. There is a statistically significant difference in perceived learning achievement between the online preferred group and the offline preferred group. Also, there is a significant difference in connectedness and availability and no significant difference in the degree of mutual awareness between the online and the offline preferred group.

• The Journal of Korean Institute for Practical Engineering Education
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• v.2 no.1
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• pp.47-51
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• 2010

Recently, the interest in Accreditation of Engineering Education, which aims at facilitating the development of engineering education and producing the high calibre of graduates in engineering schools, is increasing. The accreditation requires the students to prepare a portfolio which shows the educational achievements from all courses at the university. In the portfolio, educational activities and outputs of the student are included as a part of the achievements. Particularly, in the portfolio of design-related courses, outputs of the design the student has made until the graduation are accumulated. The outputs enable others to measure the design capability of the student and can be used as important reference materials when applying for employment or graduate school. In this paper, I propose a format of the portfolio for practical exercise courses, engineering design, and undergraduate design and explain the ways of the utilization of the portfolio.

• Journal of Engineering Education Research
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• v.13 no.3
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• pp.18-33
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• 2010

This paper describes two capstone senior design courses for the Mechanical Engineering program at University of the Pacific. The first course taught in the Fall semester is entitled "Engineering Design/Senior Project I." The second course taught in the Spring semester is entitled "Engineering Design/Senior Project II." All Mechanical Engineering students with senior standing are required to take these two classes in this sequence. At the end of every Spring semester, industrial advisors are invited to assess the final senior projects during an annual Senior Project Day. This assessment is performed using the Program Outcomes and Program Educational Objectives established for Pacific's Mechanical Engineering program. Since all Mechanical Engineering students are required to complete senior projects, this is a 100% evaluation process. After the evaluations are done, the data sets are compiled and reviewed by the faculty for assessment purposes. It is important to note that the industrial advisors perform the evaluations, but the faculty members assess the information to determine if modifications need to be made to the program or courses. In addition to the senior project evaluations, general feedback from Mechanical Engineering Industrial Advisory Committee (MEIAC) members is also useful for the outcomes-based assessment process in addition to the definition and evaluation of Program Outcomes and Program Educational Objectives.

• Journal of Engineering Education Research
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• v.25 no.2
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• pp.3-12
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• 2022

The purpose of this study was to investigate the perceptions and educational needs of the university faculties in charge of capstone design courses. To achieve the purpose of this study, the 100 questionnaires collected from the faculties nationwide with teaching experience in capstone design courses were analyzed using descriptive statistics analysis, the Borich needs assessment model, and the Locus for focus model. The faculties perceived the importance of their roles in the following order: coaching students, providing opportunities for students to show their abilities, motivating and encouraging, and building trusting relationships with students. The biggest challenges that the faculties perceived in capstone design classes were the lack of university-industry collaboration and project execution time. In the analysis of the needs for the capstone design process, the research results showed that team-building, core task development and analysis, deriving problem-solving ideas, building prototypes, and comprehensive reflection ranked the top priorities. This study is expected to help the design of the courses and the development of customized faculty support programs by analyzing the faculties' perceptions and needs for capstone design classes.

• International Journal of Computer Science & Network Security
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• v.22 no.6
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• pp.339-345
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• 2022

Outcome-based education (OBE) is a tried-and-true teaching technique based on a set of predetermined goals. Program Educational Objectives (PEOs), Program Outcomes (POs), and Course Outcomes (COs) are the components of OBE. At the end of each year, the Program Outcomes are evaluated, and faculty members can submit many recommended measures which dependent on the relationship between the program outcomes and its courses outcomes to improve the quality of program and hence the overall educational program. When a vast number of courses are considered, bad actions may be proposed, resulting in unwanted and incorrect decisions. In this paper, a recommender system, using collaborative filtering and association rules algorithms, is proposed for predicting the best relationship between the program outcomes and its courses in order to improve the attributes of the graduates. First, a parallel algorithm is used for Collaborative Filtering on Data Model, which is designed to increase the efficiency of processing big data. Then, a parallel similar learning outcomes discovery method based on matrix correlation is proposed by mining association rules. As a case study, the proposed recommender system is applied to the Computer Information Systems program, College of Computer Sciences and Information Technology, Al-Baha University, Saudi Arabia for helping Program Quality Administration improving the quality of program outcomes. The obtained results revealed that the suggested recommender system provides more actions for boosting Graduate Attributes quality.

• International Journal of Computer Science & Network Security
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• v.23 no.3
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• pp.17-30
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• 2023

The current research aims to reveal the impact of using some participatory e-learning strategies (participatory product - classroom web simulation) in developing cognitive achievement, electronic course design skills, and - skills list - Torrance test of innovative thinking). The tools of innovative thinking among a sample of Information Science students. To achieve the objectives of current research, the researcher designed an educational website to train students to produce electronic courses via the web, according to the two participatory e-learning strategies. The researcher used a set of tools represented in (achievement test research and experimental treatment were applied to a sample of the Faculty of Computer students at Umm Al-Qura University. The results found that both participatory product strategy and web simulation have an imact on developing learning aspects discussed in the research. As for which of the two strategies had a greater impact than the other, it turned out that the web simulation strategy had a greater impact than the participatory product strategy in developing these aspects.

• Journal of Information Science Theory and Practice
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• v.12 no.1
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• pp.77-86
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• 2024

As the significance of knowledge convergence continues to grow, universities are making efforts to develop methods that promote multidisciplinary learning. To address this educational challenge, our paper applies network theory and text mining techniques to analyze university curricula and introduces a graphical syllabus rendering method. Visualizing the course curriculum provides a macro and structured perspective for individuals seeking alternative educational pathways within the existing system. By visualizing the relationships among courses, students can explore different combinations of courses with comprehensive search support. To illustrate our approach, we conduct a detailed demonstration using the syllabus database of Yonsei University. Through the application of our methods, we create visual course networks that reveal the underlying structure of the university curriculum. Our results yield insights into the interconnectedness of courses across various academic majors at Yonsei University. We present both macro visualizations, covering 18 academic majors, and visualizations for a few selected majors. Our analysis using Yonsei University's database not only showcases the value of our methodology but also serves as a practical example of how our approach can facilitate multidisciplinary learning.

• Journal of the Korean Home Economics Association
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• v.46 no.7
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• pp.7-19
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• 2008

The purpose of this study is to provide fundamental data for development of textbooks and guides on diet education for middle school students. A survey was conducted for 250 middle school students in Daegu, who have completed the nutrition courses. The data were collected from the results of a self-administered questionnaire. The results obtained by this research are as follows: 1) For the education for dietary habit and attitude at school, more than half of students answered 'not being done'(55.1%), and 'needed'(41.1%). 2) When educating food and nutrition at school, both boys and girls preferred 'classes using media such as movies and slides'. 3) The boys wanted to learn 'proper dining etiquettes'(23.5%), and girls wanted to learn 'weight management'(43.8%) for further courses of food and nutrition(p < .001) in the educational demand analysis.

• Journal of Practical Engineering Education
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• v.7 no.1
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• pp.11-16
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• 2015

Learners acquire knowledge through many years of majors and educated classes. They convergence of engineering problem solving that combine a variety of subjects are difficult. In this paper, we suggest practical engineering problem solving model combined major educational courses for example optimization problem of heat sink temperature reduction.

• Journal of Engineering Education Research
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• v.24 no.6
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• pp.79-85
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• 2021

In a future society where cutting-edge science technology such as artificial intelligence becomes commonplace, the demand for talented people with basic knowledge of mathematics and science is expected to increase continuously, and the educational infrastructure suitable for the characteristics of future generations is still insufficient. In particular, in the case of students taking convergence courses including practical training, there was a problem in communication with the instructor. In this study, we looked at the current status of distance learning at domestic universities that came suddenly due to the global pandemic of COVID-19. In addition, a case study of the use of technology was conducted to facilitate the interaction between instructors and learners through case analysis of distance classes in convergence subjects. Therefore, this study aims to introduce the case of developing lecture contents for smooth convergence education in a non-face-to-face educational environment targeting the developed AI convergence courses and applying them to the education of enrolled students.