• Title/Summary/Keyword: Intelligent Contents Learning

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Predicting Plant Biological Environment Using Intelligent IoT (지능형 사물인터넷을 이용한 식물 생장 환경 예측)

  • Ko, Sujeong
    • Journal of Digital Contents Society
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    • v.19 no.7
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    • pp.1423-1431
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    • 2018
  • IoT(Internet of Things) is applied to technologies such as agriculture and dairy farming, making it possible to cultivate crops easily and easily in cities.In particular, IoT technology that intelligently judge and control the growth environment of cultivated crops in the agricultural field is being developed. In this paper, we propose a method of predicting the growth environment of plants by learning the moisture supply cycle of plants using the intelligent object internet. The proposed system finds the moisture level of the soil moisture by mapping learning and finds the rules that require moisture supply based on the measured moisture level. Based on these rules, we predicted the moisture supply cycle and output it using media, so that it is convenient for users to use. In addition, in order to reduce the error of the value measured by the sensor, the information of each plant is exchanged with each other, so that the accuracy of the prediction is improved while compensating the value when there is an error. In order to evaluate the performance of the growth environment prediction system, the experiment was conducted in summer and winter and it was verified that the accuracy was high.

An Analysis of University Students' Needs for Learning Support Functions of Learning Management System Augmented with Artificial Intelligence Technology

  • Jeonghyun, Yun;Taejung, Park
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.17 no.1
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    • pp.1-15
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    • 2023
  • The aim of this study is to identify intelligent learning support functions in Learning Management System (LMS) to support university student learning activities during the transition from face-to-face classes to online learning. To accomplish this, we investigated the perceptions of students on the levels of importance and urgency toward learning support functions of LMS powered with Artificial Intelligent (AI) technology and analyzed the differences in perception according to student characteristics. As a result of this study, the function that students considered to be the most important and felt an urgent need to adopt was to give automated grading and feedback for their writing assignments. The functions with the next highest score in importance and urgency were related to receiving customized feedback and help on task performance processed as well as results in the learning progress. In addition, students view a function to receive customized feedback according to their own learning plan and progress and to receive suggestions for improvement by diagnosing their strengths and weaknesses to be both vitally important and urgently needed. On the other hand, the learning support function of LMS, which was ranked as low importance and urgency, was a function that analyzed the interaction between professors and students and between fellow students. It is expected that the results of this student needs analysis will be helpful in deriving the contents of learning support functions that should be developed as well as providing basic information for prioritizing when applying AI technology to implement learner-centered LMS in the future.

A Study on Intelligent Contents for Virtual University

  • Hong You-Sik;Choi Myeong-Bok
    • Journal of the Korea Computer Industry Society
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    • v.5 no.4
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    • pp.435-442
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    • 2004
  • Virtual university can easily study the lecture only press the couple of mouse click or keyboard button anywhere and anytime, if you have a computer. Many people believe that virtual university, can save time and improve learning. To check how many students learn which selected some of virtual university courses, instructor must knows how to the understanding students and find out their difficult problems. Without checking this condition, it will be a very difficult and boring virtual university course. In this paper, we introduce the intelligent learning system. It has a full duplex direction that teachs understanding students and not understanding student. The computer simulation results confirms that full duplex virtual learning system has been proven to be much more efficient than one way direction which unfortunately does not consider to understanding problems.

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Misunderstandings and Truth on Student-Centered Instruction (학습자 중심 수업에 대한 오해와 진실)

  • Kim, Jin-Ho
    • Education of Primary School Mathematics
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    • v.11 no.2
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    • pp.81-94
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    • 2008
  • The 7th national curriculum requires the paradigmatic shift in education from teacher-centered to student-centered instruction. But, teachers beliefs on instruction have not been changed during implementing of the mathematics textbooks based on the curriculum. More exactly speaking, they are changed very slowly. Therefore, some beliefs they should establish in order for them to implement it were discussed: Perspectives of students' intelligent ability, learning goal for the every lesson, the passibility of teaching contents involved in the national curriculum, the size of classroom, and students' achievements.

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Customizing Intelligent Recommendation System based on Compound Knowledge (복합지식 기반 개인 맞춤형 지능화 추천시스템)

  • Kim, Gui-Jung;Kim, Bong-Han;Han, Jung-Soo
    • The Journal of the Korea Contents Association
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    • v.10 no.8
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    • pp.26-31
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    • 2010
  • This research does focus on realization of customizing recommendation service that all of formal, or informal learning is accomplished at real time according to worker's current situation or business context corresponding with the individual ability and the learning progress at industry or education field. For this, we designed the customizing intelligent recommendation system based on compound knowledge that workers can listen to coaching advices at real time and to retrieve and recommend multidimensional relation easily. Also, we constructed the repository based on compound knowledge and process engine for efficient management of compound knowledge. In specific industry, expert solution or coaching service will be created using the knowledge which is accumulated in long-term.

A Study on Simulation-Based Collaborative E-Learning System for Security Education in Medical Convergence Industry (의료융합산업 보안교육을 위한 시뮬레이션 기반 협동형 이러닝 시스템 연구)

  • Kim, Yanghoon
    • KIPS Transactions on Software and Data Engineering
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    • v.9 no.11
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    • pp.339-344
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    • 2020
  • During COVID-19, education industry is organizing the concept of 'Edutech', which has evolved one step further from the existing e-Learning, by introducing various intelligent information technologues based on the core technology of the 4th industrial revolution and spreading it through diverse contents. Meanwhile, each industries are creating new industries by applying new technology to existing businesses and ask for needs of cultivating human resources who understand the existing traditional ICT technology and industrial business which can solve a newly rising problems. However, it is difficult to build contents for cultivating such human resources with the existing e-learning of transferring knowledge by one-way or some two-way commnication system which has established some interactive conversational system. Accordingly, this study conducted a research on a cooperative e-learning system that enables educators to communicate with learners in real time and allows problem-solving education based on the existing two-way communication system. As a result, frame for contents and prototype was developedp and artially applied to the actual class and conducted an efficiency analysis, which resulted in the validation of being applied to the actual class as a simulation-based cooperative content.

Tracking of Multiple Vehicles Using Occlusion Segmentation Based on Spatio-Temporal Association

  • Lim, Jun-Sik;Kim, Soo-Hyung;Lee, Guee-Sang;Yang, Hyung-Jeong;Na, In-Seop
    • International Journal of Contents
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    • v.7 no.4
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    • pp.19-23
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    • 2011
  • This paper proposes a segmentation method for overlapped vehicles based on analysis of the vehicle location and the spatiotemporal association information. This method can be used in an intelligent transport system. In the proposed method, occlusion is detected by analyzing the association information based on a vehicle's location in continuous images, and occlusion segmentation is carried out by using the vehicle information prior to occlusion. In addition, the size variations of the vehicle to which association tracking is applied can be anticipated by learning the variations according to the overlapped vehicles' movements. To assess the performance of the suggested method, image data collected from CCTVs recording traffic information is used, and average success rate of occlusion segmentation is 96.9%.

Intelligent learning system based on the profile of learner (학습자 프로파일 기반의 지능형 학습 시스템)

  • Cho, Tae-Kyung
    • Journal of Digital Convergence
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    • v.14 no.2
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    • pp.227-233
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    • 2016
  • Typical Web-based learning system is operating the variety of learning contents. However, it is not easy to efficiently select appropriate learning contents. In this paper, we propose a learning content delivery method that can provide the most suitable preferences and feedback to the learner. By analyzing the profile of the learner, it determines the positive feedback and evaluation to be provided to the learner. The result of applying learning techniques were applied to provide the best learning content to adaptively out the form. The proposed method appears as a learning experience and learning outcomes are higher after a study was conducted to suggest that could help in the learning progress of the students themselves. This paper are applied to real learners. And the learners using the system were surveyed by the questionnaire on learning experience and learning outcomes were analyzed.

A Study of Children's Edutainment Contents Design Based on Multiple Intellegence Theory (다중지능이론에 입각한 아동용 에듀테인먼트 콘텐츠 설계 연구)

  • Choi, Hyuck Jai
    • Journal of Korea Society of Digital Industry and Information Management
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    • v.7 no.4
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    • pp.89-99
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    • 2011
  • Digital edutainment games and educational content to the concept of combining learning and to draw conclusions that can be varied and fun learning program. Yet effective design. There's a lot of discussion about the systematic and scientific research, explore the difficult, but so is the growing field of endless possibility. Merely a linguistic capabilities of human intelligence and mathematical ability were measured primarily on issues raised in the traditional intelligence tests, and emerged a variety of multiple intelligences theory of human intelligence classified into 8 types and characteristics of each intelligence activities and guidelines for faculty are presented. These lessons are based on multiple intelligences theory professor activities through the design study for students to form learning activities to meet effectively and systematically conducted classes, and student-specific classes can be designed. In this study, multiple intelligences theory, based on children's edutainment content by linguistic intelligence, and intrapersonal intelligence body-kinestic intelligent and can learn by linking to content that was designed. Children interested in animation and gaming content through the feeling that you can become stiff in Korean alphabet education to solve the quests were designed to be a natural puleonagal.

Design and implementation of an Intelligent Tutoring System for Mobile English Learning (모바일 영어 학습을 위한 지능형 교육 시스템의 설계 및 구현)

  • Lee, Young-Seok;Cho, Jung-Won;Choi, Byung-Uk
    • The KIPS Transactions:PartA
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    • v.10A no.5
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    • pp.539-550
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    • 2003
  • As the service of mobile internet has been expended, student users are increase. The computers have been widely used in a education field as the teaching tool by improvement of the multimedia contents processing and user interface. The English learning using the computers in the restricted education environment provides motivations and effective learning to learners, but still have some problem such as teaching and evaluating without consideration for differences of individual levels. In order to solve the problems and take the advantages, we propose the intelligent tutoring system for english learning with mobile technology. Overcoming limitations of the mobile environment and using proper treacher's roles,. We have applied the conventional estimation method of the intellectual learner level for students. Also, we have proposed the diagnostic function in order to determine the method of teaching-learing and item disposition that each leaner prefers. Then we have designed and implemented the expert module, providing the feedback for teaching, of the intelligent turoring system for mobile english learning. This system will be able to support the interaction between teachers and students and replace some roles of teacher in the mobile english learning.