• Title/Summary/Keyword: Active learning

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Designing the Content-Based Korean Instructional Model Using the Flipped Learning

  • Mun, Jung-Hyun
    • Journal of the Korea Society of Computer and Information
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    • v.23 no.6
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    • pp.15-21
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    • 2018
  • The purpose of this study is to design a Content-based Korean Class model using Flipped learning for foreign students. The class model that presents on this paper will lead the language learning through content learning, also it will be enable the student more active and to have an initiative in the class. Prior to designing a Content-based Korean Class model using Flipped learning, the concepts and educational significance and characteristics of flip learning were reviewed through previous studies. Then, It emphasizes the necessity of teaching method adapting Flipped learning to Content-based teaching method in Korean language education. It also suggests standards and principles of composition in Contents-based teaching method using Flipped learning. After designing the instructional model based on the suggested standards and principles, it presents a course of instruction about how learning methods, contents and activities should be done step by step. The Content-based Korean class model using the Flipped learning will be an alternative approach to overcome the limitations of teacher-centered teaching methods and lecture-teaching methods which are the dominant of present classroom environment.

A Systematic Review of Flipped Learning Research in Domestic Engineering Education (국내 공학교육에서의 플립러닝 연구에 대한 체계적 고찰)

  • Lee, Jiyeon
    • Journal of Engineering Education Research
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    • v.24 no.3
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    • pp.21-31
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    • 2021
  • Flipped learning, which involves listening to lectures at home and performing dynamic group-based problem-solving activities in the classroom, is recently evaluated as a learner-centered teaching method, and interest and applications in engineering education are increasing. Therefore, this study aims to provide practical guidelines for successful application through empirical research analysis on the use of flipped learning in domestic engineering education. Through the selection criteria and keyword search, a systematic review of 36 articles was conducted. As a result of the analysis, flipped learning research in engineering education has increased sharply since 2016, focusing on academic journals and reporting its application cases and effects. Most of the research supported that flipped learning was effective not only for learners' learning activities(e.g., academic achievement, satisfaction, engagement, learning-flow, interaction), but also for individualized learning and securing sufficient practice time. It was often used in major classes with 15 to less than 50 students, especially in computer-related major courses. Most of them consisted of watching lecture videos, active learning activities, and lectures by instructors, and showed differences in management strategies for each class type. Based on the analysis results, suggestions for effective flipped learning management in future engineering education were presented.

The Effect of Learning Strategy, Learning Attitude, Achievement Motivation on Satisfaction of Online Extracurricular Participants (온라인 비교과 프로그램 참여자의 학습전략, 학습태도, 성취동기가 만족도에 미치는 영향)

  • Park Hyejin;Kwon Youngae
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.19 no.1
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    • pp.13-21
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    • 2023
  • This study was conducted with students who participated in an online extracurricular after COVID-19 in order to analyze the effects of college students' learning strategy, learning attitude, and achievement motivation on satisfaction. After participating in the online extracurricular, an online survey was conducted, and responses from 163 students were collected. Based on the collected data, the study results were analyzed. The results of the study are as follows. First, learning strategy was found to have a positive effect on satisfaction. These results can be inferred that positive recognition worked in the process of actually applying the learning strategies acquired through the extracurricular to their own learning. Second, learning attitude had a positive effect on satisfaction. The learner's learning attitude to develop necessary skills through experience and the sense of achievement experienced in the process of participating in the online extracurricular had a positive effect on satisfaction. Third, achievement motivation was found to have a positive effect on satisfaction. It can be inferred that the learner's active behavior by participating in the program acts as a motivation for achievement and affects satisfaction. Finally, through this study, a plan for effectively operating extracurricular in an online environment was presented.

A Semi-Markov Decision Process (SMDP) for Active State Control of A Heterogeneous Network

  • Yang, Janghoon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.7
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    • pp.3171-3191
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    • 2016
  • Due to growing demand on wireless data traffic, a large number of different types of base stations (BSs) have been installed. However, space-time dependent wireless data traffic densities can result in a significant number of idle BSs, which implies the waste of power resources. To deal with this problem, we propose an active state control algorithm based on semi-Markov decision process (SMDP) for a heterogeneous network. A MDP in discrete time domain is formulated from continuous domain with some approximation. Suboptimal on-line learning algorithm with a random policy is proposed to solve the problem. We explicitly include coverage constraint so that active cells can provide the same signal to noise ratio (SNR) coverage with a targeted outage rate. Simulation results verify that the proposed algorithm properly controls the active state depending on traffic densities without increasing the number of handovers excessively while providing average user perceived rate (UPR) in a more power efficient way than a conventional algorithm.

Design of Collaborative e-Learning Environment and Collaborative Learning Agent (협력 e-러닝 학습 환경 구축 및 에이전트 적용 방안)

  • Jang, Ho-Wook;Suh, Hee-Jeon;Moon, Kyung-Ae
    • Proceedings of the Korea Contents Association Conference
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    • 2004.11a
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    • pp.11-16
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    • 2004
  • e-Learning has been expected as a new educational method and paradigm in knowledge information society. However e-Learning industry has not been in tremendous development on the contrary to people's expectations. Up to present time, collaborative learning is one of the learning approaches that promote active participation and engagement in learning. Learners can set up common goal, accomplish collaborative activity to solve the problem, and achieve individual and group goals while group work. In this paper, we present collaborative e-Learning environment to improve interactions among learners and identify the roles of collaborative learning agent to promote learner's learning activity.

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An Ontology-based e-Learning System for supporting Self-Directed Learning (자기주도적 학습을 지원하기 위한 온톨로지 기반의 이러닝 시스템)

  • Choi, Sook-Young;Yang, Hyung-Jung
    • The Journal of Korean Association of Computer Education
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    • v.13 no.5
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    • pp.29-38
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    • 2010
  • In this study we developed an ontology-based e-learning system for supporting self-directed learning. In this system, a domain ontology of a learning topic was constructed and relation properties were defined to indicate the relations among the learning concepts. The learning concepts and their relationships are structured visually through the domain ontology. It also boosts understandabilities of students by means of the visualization of relationships among the pre and post concepts. In addition, the system provides reasoning so that learners can do intelligent query when they want to learn more or they are curious about the high-level knowledge while they are learning a topic. These features of the system would help learners' self-directed and active learning.

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Study on Automatic Bug Triage using Deep Learning (딥 러닝을 이용한 버그 담당자 자동 배정 연구)

  • Lee, Sun-Ro;Kim, Hye-Min;Lee, Chan-Gun;Lee, Ki-Seong
    • Journal of KIISE
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    • v.44 no.11
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    • pp.1156-1164
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    • 2017
  • Existing studies on automatic bug triage were mostly used the method of designing the prediction system based on the machine learning algorithm. Therefore, it can be said that applying a high-performance machine learning model is the core of the performance of the automatic bug triage system. In the related research, machine learning models that have high performance are mainly used, such as SVM and Naïve Bayes. In this paper, we apply Deep Learning, which has recently shown good performance in the field of machine learning, to automatic bug triage and evaluate its performance. Experimental results show that the Deep Learning based Bug Triage system achieves 48% accuracy in active developer experiments, un improvement of up to 69% over than conventional machine learning techniques.

Design and application of learner-centered coding class based on flip-learning and havruta learning method (플립드러닝과 하브루타 학습법에 기반한 학습자 중심의 코딩 수업 설계 및 적용)

  • Lee, Aeri
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.14 no.2
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    • pp.69-78
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    • 2018
  • When it comes to the value of modern education, teachers are required to perform the role of a helper to promote interaction between learners, the role of a manager to facilitate smooth learning, and the role of a guide who has expert knowledge in the learning contents. Therefore, this study investigated what kind of learner-centered teaching methods there are, which require teachers to perform the roles of helper, manager, and guide, and conducted a pedagogical research on coding education to explore class models for self-directed learning. Subsequently, a class model was proposed by applying the flipped learning and havruta learning to a coding class. In this study, the learner-centered education methods of flipped learning and havruta method were applied to constructing a coding class as a university general education course. The feature of this class is that it enables dynamic interaction between teachers and learners as well as active interaction between leaners in a classroom instruction. After applying the proposed method to the actual class and analyzing it, the students taught using suggested method were more positively assessed in learning interest than those taught using a traditional method. And that in academic achievement as well, suggested method was more effective.

Analysis of dental hygiene learning objectives based on Bloom's taxanomy (Bloom의 교육목표 분류에 기반한 치위생학 학습목표 분석)

  • Ki, Ji-Yun;Jang, Jong-Hwa
    • Journal of Korean society of Dental Hygiene
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    • v.21 no.2
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    • pp.193-201
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    • 2021
  • Objectives: We evaluated the learning objectives of dental hygiene courses based on Bloom's learning objectives, and analyze the degree of match with the dental hygienist's job for each detailed subject. Methods: The 5th edition of 'Dental hygiene and learning objectives' was analyzed by subject based on Bloom's cognitive domain classification from March 10 to April. In addition, the degree of match between the contents of the secondary job analysis of the dental hygienist and the learning objectives for each detailed subject were analyzed. Results: The total number of dental hygiene learning objectives was 2,975 (2,762 theory, 52 practice). Among the cognitive domains, the comprehension domain was the most common (79.8%), and the skill domain was very low (4.9%). In the job for each detailed subject of dental hygiene, the most frequently performed was 'dental prophylaxis and practice' with 103 subjects. Conclusions: Overall, dental hygiene learning objectives are mostly theory-oriented, so it is necessary to expand and improve in the direction related to the jobs that clinical dental hygienists perform in the field. In addition, it is necessary to continuously develop timely learning goals, and prepare active strategies for developing high-quality items.

Development of ELM based Load Modeling Method for Residential Loads (ELM을 이용한 주거용 부하의 부하모델링 기법 개발)

  • Jung, Young-Taek;Ji, Pyeong-Shik
    • The Transactions of the Korean Institute of Electrical Engineers P
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    • v.61 no.1
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    • pp.29-34
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    • 2012
  • Due to the increasing of nonlinear loads such as converters and inverters connected to the electric power distribution system, and extensive application of harmonic generation sources with power electronic devices, disturbance of the electric power system and its influences on industries have been continuously increasing. Thus, it is difficult to construct accurate load model for active and reactive power in environments with harmonics. In this research, we develop a load modeling method based on Extreme Learning Machine(ELM) with fast learning procedure for residential loads. Using data sets acquired from various residential loads, the proposed method has been intensively tested. As the experimental results, we confirm that the proposed method makes it possible to effective estimate active and reactive powers than conventional methods.