• Title/Summary/Keyword: Learning Process

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Earthwork Planning via Reinforcement Learning with Heterogeneous Construction Equipment (강화학습을 이용한 이종 장비 토목 공정 계획)

  • Ji, Min-Gi;Park, Jun-Keon;Kim, Do-Hyeong;Jung, Yo-Han;Park, Jin-Kyoo;Moon, Il-Chul
    • Journal of the Korea Society for Simulation
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    • v.27 no.1
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    • pp.1-13
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    • 2018
  • Earthwork planning is one of the critical issues in a construction process management. For the construction process management, there are some different approaches such as optimizing construction with either mathematical methodologies or heuristics with simulations. This paper propose a simulated earthwork scenario and an optimal path for the simulation using a reinforcement learning. For reinforcement learning, we use two different Markov decision process, or MDP, formulations with interacting excavator agent and truck agent, sequenced learning, and independent learning. The simulation result shows that two different formulations can reach the optimal planning for a simulated earthwork scenario. This planning could be a basis for an automatic construction management.

A Study on the Use of Machine Learning Models in Bridge on Slab Thickness Prediction (머신러닝 기법을 활용한 교량데이터 설계 시 슬래브두께 예측에 관한 연구)

  • Chul-Seung Hong;Hyo-Kwan Kim;Se-Hee Lee
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.16 no.5
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    • pp.325-330
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    • 2023
  • This paper proposes to apply machine learning to the process of predicting the slab thickness based on the structural analysis results or experience and subjectivity of engineers in the design of bridge data construction to enable digital-based decision-making. This study aims to build a reliable design environment by utilizing machine learning techniques to provide guide values to engineers in addition to structural analysis for slab thickness selection. Based on girder bridges, which account for the largest proportion of bridge data, a prediction model process for predicting slab thickness among superstructures was defined. Various machine learning models (Linear Regress, Decision Tree, Random Forest, and Muliti-layer Perceptron) were competed for each process to produce the prediction value for each process, and the optimal model was derived. Through this study, the applicability of machine learning techniques was confirmed in areas where slab thickness was predicted only through existing structural analysis, and an accuracy of 95.4% was also obtained. models can be utilized in a more reliable construction environment if the accuracy of the prediction model is improved by expanding the process

Trends and Future Directions of Corporate e-learning Contents (기업교육 이러닝 콘텐츠의 동향과 발전 방향)

  • Jung, Hyojung
    • The Journal of Industrial Distribution & Business
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    • v.9 no.2
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    • pp.65-72
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    • 2018
  • Purpose - One of the biggest problems in the e-learning distribution process is the lack of quality content and learners' discredit in e-learning content. In order to respond to the various demands of the corporate education field appropriately, it is necessary to search for directions of new e-learning models that are out of traditional e-learning contents. The purpose of this study is to identify recent trend issues related to corporate e-learning and to suggest directions for development. Research design, data, and methodology - Based on the literature review, trend issues that should be considered important in corporate e-learning were derived. Online survey was conducted to evaluate the importance-feasibility of each issue to 13 experts on e-learning and corporate education. The contents of the questionnaire are as follows: 1) recognition of importance and feasibility of trend issues to be considered important in the future corporate education field; 2) factors to be considered in developing future e-learning contents. Results - Six trends derived from a comprehensive literature review. The most important e-learning trends for corporate education field were 'mobile learning', 'micro learning', 'blended learning', 'social learning', 'adaptive learning', 'engaged learning'. As a result of evaluating the importance and feasibility of each issue, experts point out that 'mobile learning' and 'micro learning' should be actively considered for introduction and utilization at present. In addition, 'social learning' and 'blended learning' need to be actively considered in the near future. On the other hand, experts recognized that 'adaptive learning' and 'engaged learning' need to be prepared from a long-term perspective. Conclusions - There are two main reasons for this result. First, in corporate e-learning, it is important to 1) be able to update on time, 2) the connection with the workplace is important. Second, it requires realistic verification of the expected performance of the learning model. To be considered part of the future are as follows: First, the value and effectiveness of the new e-learning type should be studied. Seconds, e-learning contents should be developed through adopting SAM or Agile methodology. Through this process, we would be able to enhance the quality in e-learning content.

A comparative study of deductive and inductive teaching and learning methods for EPL education (EPL 교육에서 연역적 및 귀납적 교수·학습방법 비교연구)

  • Park, Jaeyeon;Ma, Daisung
    • Journal of The Korean Association of Information Education
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    • v.22 no.5
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    • pp.575-583
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    • 2018
  • This study approached EPL learning with deductive teaching and learning methods and inductive teaching and learning methods which are grammar teaching and learning methods. In the entry site, lectures provided for elementary school students in grades 5 to 6 were set as deductive learning courses. Based on this, inductive learning process was developed and each learning process was composed of 12 periods. After conducting the research, EPL utilization evaluation, learning satisfaction and immersion test were conducted between the two groups. It was difficult to obtain statistically meaningful results between the two groups. However, in the three tests, the mean value of groups using inductive teaching and learning methods was high. If we construct a long-term learning process and conduct research, we think that statistically meaningful results are produced between the two groups.

Evaluation of Problem-Based Learning in an Undergraduate Nursing Course (간호학 문제 중심 학습 효과 평가 - 일개 교과목을 중심으로 -)

  • Kim Hee-Soon;Ko Il-Sun;Lee Won-Hee;Bae Seong Yeon;Shim Joung Ohn
    • Child Health Nursing Research
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    • v.10 no.4
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    • pp.395-405
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    • 2004
  • Purpose: The purpose of this research was to evaluate the application of the Problem-Based Learning(PBL) in nursing with regard to the learning process and learning outcomes. Method: PBL modules were provided to the students so that they could identify the nursing problems related to nutrition, regulation, and elimination, and implement appropriate nursing interventions according to the problems. PBL was also used to develop ability to use self-evaluation for nursing intervention outcomes. The modules were developed by the authors for the course, Nursing 1(3 credits) at Y university, and used during one semester, March to June 2003. Evaluation of the learning process and learning outcomes was done by self-report questionnaires and a semi-structured self -report developed by the authors. Result: The PBL evaluation included role of the facilitators, group work process, and self-directed learning attitude. The students evaluated the facilitator's role positively in fostering positive interactions and cooperative study among students and stimulating students to apply various problem-solving strategies. Students evaluated their own group work performances as a good opportunity to improve their group work participation, contribution, cooperation, and leadership through the PBL session. Their responsibility for their own learning and develop self-directed learning attitudes to connect present learning to long-term goals. Conclusion: Critical thinking, problem solving skills, self-directed learning and group work accomplishments in undergraduate student nurses were fostered and improved through the PBL program.

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The Effect of Teaching Nursing Process with Action Learning on Critical Thinking Disposition, Self-Leadership, and Self-Directed Learning Ability. (액션러닝 적용 간호과정 교육이 비판적 사고성향, 셀프리더십, 자기주도적 학습능력에 미치는 효과)

  • Lee, Eun-Mi;Oh, Yun-Jeong
    • Journal of Digital Convergence
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    • v.20 no.5
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    • pp.47-52
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    • 2022
  • The purpose of this study is to confirm the effect of nursing process education applying action learning on the critical thinking tendency, self-leadership, and self-directed learning ability of nursing college students. A total of 96 subjects were studied, and data collection was from September to December 2021. For data analysis, the frequency, percentage, and corresponding sample t-test were used using spss/win 23. Results show that self-directed learning ability(t=-3.76, p<.001) was significantly improved. In addition, critical thinking disposition and self-leadership(r=.730, p<.001), critical thinking disposition and self-directed learning ability (r=.701, p<.001), self-leadership and self-directed learning ability(r=.734 p<.001) had a statistically significant positive correlation between them. As a result of this study, it can be seen that the nursing course education applied to action learning has a positive effect on the self-directed learning ability of nursing college students. In the future, research is needed to confirm the effects of various teaching and learning methods.

A Design of u-Learning's Teaching and Learning Model in the Cloud Computing Environment (클라우드 컴퓨팅 환경에서의 u-러닝 교수학습 모형 설계)

  • Jeong, Hwa-Young;Kim, Yoon-Ho
    • Journal of Advanced Navigation Technology
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    • v.13 no.5
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    • pp.781-786
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    • 2009
  • The cloud computing environment is a new trend of web based application parts. It can be IT business model that is able to easily support learning service and allocate resources through the internet to users. U-learning also is a maximal model with efficiency of the internet based learning. Thus, in this research, we proposed a design of u-learning's teaching and learning model that is applying the internet based learning. Proposal method is to fit u-learning and has 7 steps: Preparing, planning, gathering, learning process, analysis and evaluation, and feedback. We make a cloud u-learning server and cloud LMS to process and manage the service. And We also make a mobile devices meta data to aware the model.

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A Personalized English vocabulary learnin g system based on cognitive abilities relat ed to foreign language proficiency

  • Kwon, Dai-Young;Lim, Heui-Seok;Lee, Won-Gyu;Kim, Hyeon-Cheol;Jung, Soon-Young;Suh, Tae-Weon;Nam, Ki-Chun
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.4 no.4
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    • pp.595-617
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    • 2010
  • This paper proposes a novel of a personalized Computer Assisted Language Learning (CALL) system based on learner's cognitive abilities related to foreign language proficiency. In this CALL system, a strategy of retrieval learning, a method of learning memory cycle, and a method of repeated learning are applied for effective vocabulary memorization. The system is designed to offer personalized learning based on cognitive abilities related to the human language process. For this, the proposed CALL system has a cognitive diagnosis module which can measure five types of cognitive abilities. The results of this diagnosis are used to create dynamic learning scenarios for personalized learning and to evaluate user performance in the learning. This system is also designed in order to have users be able to create learning word lists and to share them simply with various functions based on open APIs. Additionally, through experiments, it has shown that this system helps students to learn English vocabulary effectively and enhances their foreign language skills.

Analysis of Changes in University Students' Awareness of Online Classes from 2020 to 2022 during the COVID-19 Pandemic

  • Eunmo SUNG;Sumi KANG
    • Educational Technology International
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    • v.25 no.1
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    • pp.129-159
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    • 2024
  • The purpose of this study was to examine changes in students' awareness of online classes in university education over the three years from 2020 to 2022 during the COVID-19 pandemic. To achieve this, various aspects of online classes, including self-directed learning, interaction (between instructors and learners, and among learners), evaluation of the learning process and outcomes, and the learning environment and control of learning, were analyzed for changes from 2020 to 2022. The study included 534 university students enrolled in University A who participated in online classes in both 2020 and 2021. The results indicated that there was no significant difference in the awareness of self-directed learning, but significant differences were found in the awareness of interaction, evaluation of the learning process and outcomes, and the challenge related to learning environment and control of learning in online classes, which were higher in 2021 and 2022 than in 2020. Additionally, detailed changes in awareness of online classes showed significant differences in specific aspects of awareness in university online classes. In summary, students' awareness of online classes improved in 2021 and 2022 compared to 2020, as learners adapted to online classes due to the COVID-19 pandemic. Moreover, it was observed that difficulties in the challenge related to learning environment and control of learning were overcome in 2021. Based on these research findings, several implications for improving the design and operating strategies of effective online classes in future university education were proposed.

A Study on the Organization Socialization Process of Engineering Novice for the Learning and Adaptation (공학계열 초기경력자의 학습과 적응을 위한 조직사회화 과정 연구)

  • Lee, Soo-Yong
    • Journal of Engineering Education Research
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    • v.17 no.5
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    • pp.41-50
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    • 2014
  • The purpose of this study was to examine the organization socialization process of engineering novice for the learning and adaptation. Qualitative case study was performed with 5 participants and the collected qualitative data were analyzed using funnel-like method. The findings showed that the organization socialization process proceed in three steps-anticipatory, encounter, and metarmorphosis. Engineering Novice look at the whole organization socialization proces of organization culture and job maladjustment, and the relationship between internal and external organizations to overcome the difficulties arising from the community through the process of becoming a full participant. Socialization of engineering novice is ultimately the organization to respond to new situations and changes in the learning process takes place in the process, talking about a major resource for human resources. This enables organizations to socialize and harmonious human relationships within the organization so that it can be more important than anything else.