• Journal of Convergence for Information Technology
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• v.10 no.8
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• pp.173-178
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• 2020

In the near future, as artificial intelligence and computing network technology develop, collaboration with artificial intelligence (AI) will become important. In an AI society, the ability to communicate and collaborate among people is an important element of talent. To do this, it is necessary to understand how artificial intelligence based on computer science works. An algorithmic education focused on problem solving and learning is efficient for computer science education. In this study, the results of an assessment of computational thinking at the beginning of the semester, a satisfaction survey at the end of the semester, and academic performance were compared and analyzed for 28 students who received algorithmic education focused on problem-solving learning. As a result of diagnosing students' computational thinking and problem-solving learning, teaching methods, lecture satisfaction, and other environmental factors, a correlation was found, and regression analysis confirmed that problem-solving learning had an effect on improving lecture satisfaction and computational thinking ability. For algorithmic education, if you pursue a problem-solving learning technique and a way to improve students' satisfaction, it will help students improve their problem-solving skills.

• Journal of Korea Entertainment Industry Association
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• v.15 no.6
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• pp.115-125
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• 2021

The study presented an online class case focusing on G University's writing course, and analyzed students' satisfaction. Through this, it aimed to analyze the possibility of online education and to explore efficient operation of online writing lectures. According to the result of looking into the online writing class run by G University, students' satisfaction with the online writing class was high. Despite the limited circumstances, students' participation in the class was high and they also actively participated in online correction. However, there was also a challenge to address. Online writing education showed limitations in terms of smooth communication with students. Correction of writing can be done online sufficiently but the limitations of communication should be supplemented to improve the completeness of interactive education. In addition, most of the students participated in online correction, but some did not participate. It is necessary to encourage students to participate voluntarily to make online classes take roots. After all, for the effective operation of online writing classes, strategies and systems for teaching and learning should be prepared for utilization of various educational video media, sufficient learning of theory and practice of writing, and smooth communication between professors and students. Only when these conditions are met, online writing classes will be able to operate steadily.

• Journal of Convergence for Information Technology
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• v.12 no.2
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• pp.157-162
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• 2022

In a society full of knowledge and information, digital literacy and artificial intelligence (AI) education that can utilize AI technology is needed to solve numerous everyday problems based on computational thinking. In this study, data-centered AI education was conducted while teaching computer programming to non-computer programming students at universities, and the correlation between major factors related to academic performance was analyzed in addition to student satisfaction surveys. The results indicated that there was a strong correlation between grades and problem-solving ability-based tasks, and learning satisfaction. Multiple regression analysis also showed a significant effect on grades (F=225.859, p<0.001), and student satisfaction was high. The non-computer programming students were also able to understand the importance of data and the concept of AI models, focusing on specific examples of project types, and confirmed that they could use AI smoothly in their fields of interest. If further cases of AI education are explored and students' AI education is activated, it will be possible to suggest its direction that can collaborate with experts through interest in AI technology.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.745-752
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• 2023

This study aims to improve the quality of classes by analyzing the role and learning achievement of instructors in programming subjects for non-major students. In order to improve the quality of university education, universities provide various programs to strengthen the teaching capacity of instructors. Ultimately, in order to improve the quality of classes, instructors increase student participation in classes, respond sincerely to students' inquiries, and provide feedback that can assist students in various situations that occur during class and learning, thereby improving class satisfaction and achievement. should try to improve. In this paper, based on the teaching method, learning achievement, and teacher role satisfaction survey conducted in the liberal arts programming course of K University, we study the influence of the teacher's role on the quality improvement of the class. Examine the relationship with satisfaction.

• Journal of Practical Engineering Education
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• v.12 no.1
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• pp.243-254
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• 2020

This study focused on the perception of career plans(life goals, self-standards, future prospects) based on the experience and satisfaction of career education and experiences of adolescents. To this end, 2,998 adolescents aged 13 to 18 are divided into middle and high school students groups(Inexperienced group, Dissatisfied group, experienced satisfaction group) by utilizing the 'career, career and vocational field' of the Youth Comprehensive Survey. The main results of this study are as follows. Differences by group of career plans were higher in the majority of experienced satisfaction groups than in the inexperienced and dissatisfied groups, and the more experienced and satisfied the career education and experience, the more confident they were in life goals, self-standards, and future prospects. In addition, in the case of self-standards and future prospects, the satisfaction of the inexperienced group was higher than that of the dissatisfied group, and when satisfied with the experience, the average value of the middle school group was higher than that of the high school group. Finally, based on the results, implications and limitations for follow-up studies were discussed.

• Journal of Convergence for Information Technology
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• v.9 no.2
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• pp.49-54
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• 2019

University education emphasizes the development of convergent as well as computational thinking, many universities provide software education to improve their problem-solving ability. In this study, we use Python programming based on problem-solving learning, and analyze the correlation between problem-solving learning satisfaction and academic achievement. A questionnaire survey was conducted among 143 students, we tried to analyze the relationship of problem-solving learning with actual academic performance using correlation and multiple regression analysis. The results indicate a relationship between satisfaction and academic achievement, and that it affects students' academic achievement. The ability to identify various problem situations and solve problems using computational thinking will become increasingly important, it is desirable that the universities provide software education based on problem-solving learning.

• Journal of Practical Engineering Education
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• v.11 no.2
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• pp.291-303
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• 2019

The purpose of this research was to investigate the effect of the achievement goal orientation on college students' life satisfaction and sense of the belonging. This study used the analysis of the latent growth model to comprehend the slope of the 3 years longitudinal data. The result was that mastery approach and mastery avoidance affected the initial value of college life satisfaction, but not its slope as the time of 3 years went. On the other hand, performance approach was the opposite of mastery approach and mastery avoidance to college students' life satisfaction. Performance avoidance did not have an influence on both the initial value and the slope of college students' life satisfaction. The effect of the achievement goal orientation to the sense of belonging was also explored and its result was that mastery approach and mastery avoidance affected the initial value of the sense of belonging. However, it was different that performance approach did not influence the slope of the sense of belonging.

• Journal of the Korea Society of Computer and Information
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• v.27 no.10
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• pp.255-265
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• 2022

We compared and analyzed the factors affecting the lecture evaluation of IT subjects, which are mandatory for all students of H University. The purpose of this study is to determine whether lecture satisfaction has a significant correlation with academic achievement, attendance rate, and categories of courses. In this study, we check whether the lecture satisfaction of IT liberal arts subjects that require a lot of computer-based practice differs from that of other liberal arts subjects. We used the 2,149 evaluation data of 12 lectures submitted by 2,322 students in the first and second semesters of year 2019 at University H. As for the lecture evaluation results, in addition to the evaluation scores of the multiple choice questions, the subjective questions were also quantified by classifying the statements submitted by the students into positive and negative types to make the results of the lecture evaluation objective. Our research results show that student group who have the higher attendance rates and academic achievements have higher level of lecture satisfaction and they also use more positive words than negative words in subjective evaluation questions. Students with the lower score use the more negative words, but the ratio between positive and negative words does not differ between groups. Higher attendance rates groups in the basic programming courses and software applications courses have higher lecture satisfaction ratio. But in the intermediate programming courses, the higher attendances rate and the lecture satisfaction do not have any significant relationship. Also students in the intermediate programming courses use more negative words than those in the basic programming courses.

• Journal of Practical Engineering Education
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• v.9 no.1
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• pp.23-30
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• 2017

This is a study on a case applying flipped learning to coding classes that is a college liberal arts course. A required coding class for the students who do not major in computers needs a teaching method differentiated from a coding education for training experts. The present study presented a flipped learning teaching model for the coding education of non-major students, and observed its effect and possibility. Flipped learning enables learners to learn with on-line contents anywhere and anytime they want and concentrate on practice education based on what they learned during class. Accordingly, the study sought for the solution to maximize the efficiency of teaching and learning through flipped learning. A pre and post surveys after applying a flipped learning to a practical class confirmed that the students taught using flipped learning were more positively assessed in learning satisfaction than those taught using a traditional method, and that in academic achievement as well, flipped learning was more effective.

• Journal of Convergence for Information Technology
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• v.8 no.4
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• pp.205-211
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• 2018

The purpose of this study is to classify appropriate content types according to the cyber education contents needed for employees of health and welfare and to develop contents based on specific instructional design strategies for each type. We divided the four types of content into instructor-led type contents, storytelling type contents, practice type contents, and case presentation type contents based on previous research and existing health and welfare cyber education contents. For each content type, a macro design strategies and a micro design strategies were derived, and contents were developed in accordance with the design strategies. Data were collected from 150 employees of health and welfare to analyze learning satisfaction. The average of learning satisfaction was 4.42. The results of this study will provide theoretical background and practical implications for the design and development of cyber education contents in health and welfare areas.