• 한국컴퓨터정보학회논문지
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• 제23권9호
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• pp.163-169
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• 2018

Problem solving by programming has a lot of influence on computational thinking improvement. Programming learning has been self-directed based on the individual's thoughts and principles. However, the revised informatics curriculum in 2015 puts importance on collaborative learning. Collaborative learning emphasizes results differently from cooperative learning, which emphasizes problem-solving processes. And cooperative learning leads to structured learning, such as role sharing and activity stages, within a small group, while collaborative learning leads to unstructured learning. Therefore, it is becoming more in collaborative learning that peer interaction can be affected by learners' cognitive style. In this paper, we propose the effect of cognitive style on problem solving ability in collaborative learning for problem solving by programming. As a result, collaborative learning was effective in improving problem solving ability and there was no significant difference in cognitive style.

• 한국항공운항학회지
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• 제27권3호
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• pp.45-53
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• 2019

The purpose of this study is to provide a brief overview of the helicopter pilot training system applied to the Army, and to examine what factors positively affect the successful flight training of helicopter pilots. For this purpose, we analyzed the correlations between various factors such as individual characteristics, selection factors, flight aptitude evaluation, theoretical subjects test, and self-life evaluation. As a result, it was found that only the flight experience was influential on the individual characteristics at the beginning of the training course, and the learning achievement represented by the test of theoretical subjects was positively influenced throughout the flight training course. This reaffirms the fact that an individual's high level of motivation or effort influences his flight training performance. These results are expected to be useful indicators for future development of pilot selection system and pilot training system.

• Journal of Information Processing Systems
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• 제19권6호
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• pp.767-777
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• 2023

In modern society, user privacy is emerging as an important issue as closed-circuit television (CCTV) systems increase rapidly in various public and private spaces. If CCTV cameras monitor sensitive areas or personal spaces, they can infringe on personal privacy. Someone's behavior patterns, sensitive information, residence, etc. can be exposed, and if the image data collected from CCTV is not properly protected, there can be a risk of data leakage by hackers or illegal accessors. This paper presents an innovative approach to "machine learning based reversible chaotic masking method for user privacy protection in CCTV environment." The proposed method was developed to protect an individual's identity within CCTV images while maintaining the usefulness of the data for surveillance and analysis purposes. This method utilizes a two-step process for user privacy. First, machine learning models are trained to accurately detect and locate human subjects within the CCTV frame. This model is designed to identify individuals accurately and robustly by leveraging state-of-the-art object detection techniques. When an individual is detected, reversible chaos masking technology is applied. This masking technique uses chaos maps to create complex patterns to hide individual facial features and identifiable characteristics. Above all, the generated mask can be reversibly applied and removed, allowing authorized users to access the original unmasking image.

• International Journal of Knowledge Content Development & Technology
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• 제3권2호
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• pp.29-42
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• 2013

The purpose of this study is to explore the information management behaviors of undergraduate students in their dormitory rooms, using Personal Information Management (PIM) as the theoretical framework. Ethnographic methods were applied to study how students devise their own systems combining digital and traditional tools to collect, create, manipulate, organize, and manage the information they need to fulfill their roles as university students. Results show a broad diversity of behaviors influenced more by individual learning styles and preferences than high-tech gadgetry. It is proposed that just as every individual has unique learning styles and preferences, so too do we have individual information styles, and we apply our tools and gadgets in our own ways to best accommodate our own styles.

• 컴퓨터교육학회논문지
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• 제13권4호
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• pp.61-68
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• 2010

사람들은 인터넷 활동이 중독이라는 부정적 측면 때문에 교육적 활용을 자제하는 분위기가 형성되어 있다. 그러나 온라인 교육용 게임은 흥미 유발과 함께 학습자-교수자간의 원활한 상호작용을 끌어낼 수 있는 좋은 수업자료이고, 몰입과 관련한 선행 연구들에서는 인터넷이 주는 긍정적 측면을 검증했다. 온라인 교육용 게임이 개인별 학습 분야의 유용한 도구라는 점을 고려하면, 앞으로의 연구는 개별화에 초점을 맞춘 몰입 연구가 요구된다. 본 논문은 온라인 교육용 게임에서 개인의 인지양식에 따라 학습몰입 구성 요소들 간에 어떠한 차이를 보이는지 밝힌다.

• 정보교육학회논문지
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• 제12권4호
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• pp.385-393
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• 2008

본 연구의 목적은 웹 기반 PBL에서 블로그의 활용 방안을 모색하고 그 효과를 측정하기 위한 것이다. 본 연구에서 블로그는 웹 기반 PBL에서의 개인별 자기 주도적 학습 활동을 지원하기 위한 것이었으며, 질문지와 면담, 성찰 노트 분석을 통하여 그 효과를 분석하였다. 39명의 학습자들을 대상으로 8주간 커뮤니티를 이용한 웹 기반 PBL 수업을 진행하였으며, 이후 8주간의 기간은 블로그를 추가로 활용하도록 하였다. 분석 결과 웹 기반 PBL에서 학습자들은 심리적, 기능적 측면에서 블로그 활용에 대하여 유용성을 인식하였으며, 블로그가 성찰적 학습 활동을 촉진하고, 학습자들을 동기화하는 데 기여하였음을 확인할 수 있었다.

• 한국임상약학회지
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• 제23권3호
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• pp.278-283
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• 2013

Background: Problem-based learning (PBL) has introduced as an important part of pharmacy education in Korea as it is effective method to help students gain and apply knowledge with development of problem-solving, critical-thinking, and decision-making skills. In order to provide the effective PBL, a number of trained facilitators and suitable PBL rooms are required. However, these become a barrier in Korea as most pharmacy schools have one or two faculty members who majored in clinical pharmacy. Objective: This study was performed to implement and evaluate a modified PBL in gastrointestinal (GI) pharmacotherapy class facilitated by one instructor. Methods: A general information of traditional PBL for 6 hours through 3 days is introduced before initiating GI pharmacotherapy class. After 3 hour-GI pharmacotherapy classes for 6 weeks, modified PBL was implemented with one instructor to facilitate PBL for four small groups with 19 pharmacy students simultaneously. Modified PBL was incorporated with weekly mini-case discussion and presentation. Results: Students completed 15-question survey to evaluate modified PBL course, student performance, group performance, and facilitator performance. Eighty-four percent of students answered modified PBL was helpful to understand what they have learned. Mean score in group performance was higher than that of individual performance during modified PBL course. Overall, students reported modified PBL was useful in knowledge building. Conclusion: Modified PBL model without individual group facilitators in one classroom helped students to achieve self-directed, independent learning skills in an interactive and engaging environment.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제17권12호
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• pp.3266-3285
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• 2023

With the popularity of online learning, intelligent tutoring systems are starting to become mainstream for assisting online question practice. Surrounded by abundant learning resources, some students struggle to select the proper questions. Personalized question recommendation is crucial for supporting students in choosing the proper questions to improve their learning performance. However, traditional question recommendation methods (i.e., collaborative filtering (CF) and cognitive diagnosis model (CDM)) cannot meet students' needs well. The CDM-based question recommendation ignores students' requirements and similarities, resulting in inaccuracies in the recommendation. Even CF examines student similarities, it disregards their knowledge proficiency and struggles when generating questions of appropriate difficulty. To solve these issues, we first design an enhanced cognitive diagnosis process that integrates students' affection into traditional CDM by employing the non-compensatory bidimensional item response model (NCB-IRM) to enhance the representation of individual personality. Subsequently, we propose an affection-enhanced personalized question recommendation (AE-PQR) method for online learning. It introduces NCB-IRM to CF, considering both individual and common characteristics of students' responses to maintain rationality and accuracy for personalized question recommendation. Experimental results show that our proposed method improves the accuracy of diagnosed student cognition and the appropriateness of recommended questions.

• 실천공학교육논문지
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• 제16권2호
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• pp.143-150
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• 2024

With the development of AI, multimedia tools in education offer personalized learning environments, which foster individual competencies. This study aims to examine the effectiveness of smart education as perceived by learners through a case study of university writing classes utilizing multimedia learning tools, and to explore potential applications. To achieve this, a writing course incorporating various multimedia tools to promote interaction was designed and implemented over the course of one semester, targeting 42 university students. Through the semester, student reactions and survey results were analyzed to investigate the effects and satisfaction levels regarding the use of multimedia learning tools in writing instruction as perceived by students. The analysis revealed that multimedia-assisted writing classes effectively fostered learners' autonomy by focusing on individual needs, while also promoting interaction and encouraging spontaneous participation. Students reported recognizing the presence of diverse perspectives by comparing and communicating about each other's writing, leading to an expansion of their own thinking. In using ChatGPT, it was found that students attempted to refine their questions until they obtained the desired answers. They reported that this process deepened their understanding of the essence of the questions. These benefits led to results of high levels of students' active class engagement and satisfaction. This study contributes foundational and empirical data regarding the effectiveness and potential applications of learner-centered smart education as part of fourth industrial revolution integration research.

• Educational Technology International
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• 제18권2호
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• pp.73-99
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• 2017

The learning analytics dashboard (LAD) is a supporting tool for teaching and learning in its personalized, automatic, and visual aspects. While several studies have focused on the effect of using dashboard on learning achievement, there is a research gap concerning the impacts of learners' characteristics on it. Accordingly, this study attempted to verify the differences in learning achievement depending on learning motivation level (high vs. low) and dashboard intervention (use vs. non-use). The final participants were 231 university students enrolled in a basic statistics course. As a research design, a 2 × 2 factorial design was employed. The results showed that learning achievement varied with dashboard intervention and the interaction effect was significant between learning motivation and dashboard intervention. The results imply that the impact of LAD may vary depending on learner characteristics. Consequently, this study suggests that the dashboard interventions should be offered after careful consideration of individual students' differences, particularly their learning motivation.