• Journal of Korea Game Society
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• v.10 no.4
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• pp.23-34
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• 2010

The current interests in e-sports is being extended to the fields of education these days. Professional game players, so called as 'Pro-Gamers', therefore, should be recognized as human resource for education, and the theoretical foundation for them needs to be established. This study examines informal learning styles, motivation, and interactions among professional game players in South Korea. The aim of this grounded theory study is to discover the trajectory of professional game players' experiences and explain what properties and interactions they are facing depending on the stage of the trajectory. This study conceptualizes educational meaning within and across the society of StarCraft Pro-Gamers, providing suggestions for the management of human resource using models constructed. Data was analyzed by interviewing 1 consultant, 2 directors and 9 Pro-Gamers. By analyzing the data, this study explored what learning strategies Pro-Gamers construct and apply in their trajectory as Pro-Gamers. It includes how they organize learning, how they formulate their motivation and goals, how they cooperate and compete, what curricula they adapt, how they become one of the ace players overcoming their slump, and how informal education works in practice in the interaction among members of a StarCraft Pro-Gamer team. Finally, in this paper the stage theory was presented. It is argued that when the stage of the players shifts (Stage Shifting). It also brings changes to proficiency properties, emotional properties, interactional properties and educational properties related to each stage. Stages are categorized by five levels: Enjoying, Struggling, Achieving, Slumping, and Recovering. Although each stage has its own properties, the stages are grouped by two main properties, one of which is a Communicative Stage and the other is a Practicing Stage.

• Journal of the Korean Geosynthetics Society
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• v.22 no.1
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• pp.67-74
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• 2023

In order to monitor the stability of slopes, research on data-based slope failure prediction and early warning is increasing. However, most papers overlook the quality of data. Poor data quality can cause problems such as false alarms. Therefore, this paper proposes a two-step hybrid approach consisting of rules and machine learning models for quality control of data collected from slopes. The rule-based has the advantage of high accuracy and intuitive interpretation, and the machine learning model has the advantage of being able to derive patterns that cannot be explicitly expressed. The hybrid approach was able to take both of these advantages. Through a case study, the performance of using the two methods alone and the case of using the hybrid approach was compared, and the hybrid method was judged to have high performance. Therefore, it is judged that using a hybrid method is more appropriate than using the two methods alone for data quality control.

• Journal of Educational Research in Mathematics
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• v.27 no.2
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• pp.207-225
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• 2017

With a significant role of textbooks in shaping students' opportunities to learn, textbook analysis is essential to reveal these opportunities to learn the concept of area and volume. This research aims to show how the Korean textbooks pace students' learning of area and volume across grades by scrutinizing the textbooks with students' developmental sequences, called learning trajectories. Tasks about area and volume in all Korean elementary textbooks (grade 1 to 6) are coded with the specific developmental stages suggested in learning trajectories. As a result, we find considerable misalignment between the textbooks and the learning trajectories. The textbooks provide opportunities to experience developmental progressions of area and volume later than ages suggested in the learning trajectories. In addition, learning opportunities are significantly concentrated in grade 5 for area and grade 6 for volume with heavy emphases on applying formulas of area or volume. The findings from this research provides important implications concerning design of textbooks as well as improving students' opportunities in the mathematics classrooms.

• Journal of Engineering Education Research
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• v.13 no.1
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• pp.62-69
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• 2010

Program learning outcome is widely used for assessing and improving program quality. There are various methodologies that can measure program quality and improve program learning outcomes. In this paper, we used formative approach in Capstone design course, since it is the most effective in terms of improving program learning outcomes due to the course's intrinsic nature. To integrate a formative approach into Capstone design course, we develop a feedback structure which is a key element in formative approach and define several sub phases that manage feedback structures and their own evaluation criteria. As a result, we observed a noticeable improvement for students performance in capstone design course.

• Annual Conference on Human and Language Technology
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• 2020.10a
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• pp.495-500
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• 2020

뉴스 기사는 반드시 객관적이고 넓은 시각으로 정보를 전달하지 않는다. 따라서 뉴스 기사를 기존의 추천 시스템과 같이 개인의 관심사나 사적 정보를 바탕으로 선별적으로 추천하는 것은 바람직하지 않다. 본 논문에서는 최대한 객관적으로 다양한 시각에서 비슷한 사건과 인물에 대해서 판단할 수 있도록 유사도 기반의 기사 추천 모델을 제시한다. 길이가 긴 문서 사이의 유사도를 측정하기 위해 GPT2 [1]언어 모델을 활용했다. 이 과정에서 단방향 디코더 모델인 GPT2 [1]의 단점을 추가 학습으로 개선했으며, 저장 공간의 효율과 핵심 문단 추출을 위해 BM25 [2]함수를 사용했다. 그리고 준 지도 학습 [3]을 통해 유사도 레이블링이 되어있지 않은 최신 뉴스 기사에 대해서도 자가 학습을 진행했으며, 이와 함께 길이가 긴 문단에 대해서도 효과적으로 학습할 수 있도록 문장 길이를 기준으로 3개의 단계로 나누어진 커리큘럼 학습 [4]방식을 적용했다.

• Journal of Korean Home Economics Education Association
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• v.35 no.2
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• pp.133-144
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• 2023

The goal of this study was to improve environmental awareness by systematically developing a hands-on online lesson for adults on making drink bags by upcycling discarded umbrella cloth. The lesson was developed using an ADDIE model. During the analysis stage, the instructional design direction was established based on the findings of previous studies. In the design stage, the operation of practical classes in the online environment was specifically planned. The contents of education and the training time were also determined. The materials developed during the development stage included a kit and theoretical information containing images to raise awareness of environmental pollution and the significance of upcycling, as well as videos and photos. During the implementation stage, two sessions were held three months apart. A total of 36 adults participated, with 18 participants in each session. In the evaluation stage, the first session participants provided feedback on class satisfaction, which led to improvements. Positive feedbacks were received from the second session participants, who expressed satisfaction with the smooth communication and easy approaches to the learning materials. In both instances, the surveys on environmental consciousness and attitudes yielded an overall average score of 4.27, indicating a generally positive evaluation.

• Proceedings of the Korean Society of Computer Information Conference
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• 2012.07a
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• pp.171-174
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• 2012

이 연구는 협동학습의 수행과정에서 학습자들이 느끼는 어려움을 해소하고 협동학습 활동을 돕기 위해 협동학습 구조의 활용방안을 제안하고 그 효과성을 검증하고자 하였다. 이를 위해 먼저 구조 활용 협동학습을 설계하고, 초등학교 4학년 1학기 과학과에서 실험단원을 선정하여 구조 활용 협동학습의 각 단계에 따라 수업을 하고, 학업성취도와 과학에 관련된 태도의 관점에서 효과성을 분석하였다. 연구대상은 경기도 소재 'ㅎ' 초등학교 4학년 학생들 중 사전 학업성취도와 과학에 관련된 태도 검사에서 동질집단으로 확인된 2개 학급 56명이었다. 연구결과 첫째, 구조 활용 협동학습은 실험집단과 통제집단의 학업성취도에 있어서 통계적으로 유의한 차이가 있었으며 특히 과학 탐구 능력 영역에서 차이가 있었다. 둘째, 과학에 관련된 태도 변화에 있어서도 두 집단 간에 유의한 차이가 있었으며 학습자의 과학에 관련된 태도를 향상시키는데 효과가 있다고 할 수 있다.

• Journal of Digital Convergence
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• v.19 no.3
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• pp.279-285
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• 2021

This paper criticized that online classes during the Covid-19 period were centered on knowledge and information education, and sought ways to improve empathy as a way to improve students' sociality. The teaching-learning process was designed around the movie <(500) Days of Summer> which has the theme and story of parting and growth. On this paper the stage of empathy was divided into three stages, recognize-into, feeling-into, emotional-transaction stage. In particular, considering the process of transitioning from emotional empathy to behavioral empathy as the key to communication education, the class was designed in five stages, with an expression stage between the feeling-into stage and the emotional-transaction stage. This course is possible when learners sympathize with the work itself and reflect on their own narrative, so literary therapeutic was used, and students's response statements were collected to prove that this process is meaningful for improving empathy. In this article, the class was designed for the movie <(500) Days of Summer>, but this teaching-learning model can be applied to other contemporary film texts.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2013.10a
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• pp.995-998
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• 2013

Aerial imaging is one of the most common and versatile ways of obtaining information from the Earth surface. In this paper, we present an approach by SOM(Self Organization Map) algorithm with 2 phase learning to be applied successfully to aerial images clustering due to its signal-to-noise independency. A comparison with other classical method, such as K-means and traditional SOM, of real-world areal image clustering demonstrates the efficacy of our approach.

• Journal of Practical Engineering Education
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• v.16 no.2
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• pp.159-165
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• 2024

This study investigates the comprehensive system for collecting intelligent learning activity data tailored to learner-centered personalized education. We compared and analyzed the characteristics of xAPI, Caliper analytics, and cmi5, which are learning activity data collection standards, and established a system that allows not only standardized data but also non-standardized learning activity data to be stored as big data for artificial intelligence learning analysis. As a result, the system was structured into five stages: defining data types, standardizing learning data using xAPI, storing big data, conducting learning analysis (statistical and AI-based), and providing learner-tailored services. The aim was to establish a foundation for analyzing learning data using artificial intelligence technology. In future research, we will divide the entire system into three stages, implement and execute it, and correct and supplement any shortcomings in the design.