• Title/Summary/Keyword: learning interest

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The Effects of Implementing a Science History Program for Improving Students' Scientific Process Skills

  • Cho, Kyu-Seong;Chung, Duk-Ho
    • Journal of the Korean earth science society
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    • v.25 no.3
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    • pp.119-128
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    • 2004
  • This project was carried out under the assumption that applying a science history program to a teaching-learning process would lead to students' increased interest in science and increase the development of their scientific process skills. The project aimed at designing an effective science history program which would help to improve students' scientific process skills, to enhance their interest in learning science, and to maintain their inquiry learning abilities. The survey for the activity objectives was produced by the authors. The test items used for testing students' scientific attitude and scientific process skills were created by Korea National University of Education. The survey about scientific perception indicated that there was a meaningful difference of p=0.005 before and after implementing this program. The survey about scientific interest shows that students became interested in science, science-learning and science-related activities after participating in the science history program. Students' scientific process sills increased by 9% after the program was implemented in the subjects' classes. This indicates that the science history program was effective in improving students' science scientific process skills. Since this project, which targeted 8th grade science education activities, has proven to be effective, developing other programs suitable for younger and older students seems promising, too.

The Relationship between Learner and Interest in Teachable Characteristic Agent

  • Kwon, Soon-Goo;Woo, Yeon-Kyung;Cho, Eun-Soo;Chung, Yoon-Kyung;Jeon, Hun;Yeon, Eun-Mo;Jung, Hye-Chun;Park, Sung-Min;So, Yeon-Hee;Kim, Sung-Il
    • 한국HCI학회:학술대회논문집
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    • 2008.02b
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    • pp.78-84
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    • 2008
  • The traditional intelligent teachable system has mainly focused on knowledge and cognition. It has overlooked motivational aspects of learners. Motivation is an important factor in learning making learners to have interests in a given task and persist it. Although the systems include cognitive as well as motivational factors, the effects of ITS on interest are not equivalent depending on individual characteristics. This study is to investigate how influence learners' response patterns to their interests and also examined effects of individual characteristics on interest in teachable agent (TA). In this experiment, we used KORI which is a new type of ITS that learner teach computer agent based on the instructional method of learning by teaching'. In the beginning of experiments, metacognition, achievement goal orientation and self-efficacy were measured as individual characteristics. Then, participants were asked to use KORI at home during 10 days. After using KORI the level of interest were measured. The result showed that metacognition was positively related with interest, whereas performance goal orientation and mastery goal orientation were negatively related to interest. It suggests t hat different individual characteristics should be considered to promote learners' intrinsic motivation in TA.

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A Study on Development of Hybrid Personalization Recommendation System Based on Learing Algorithm (학습알고리즘 기반의 하이브리드 개인화 추천시스템 개발에 관한 연구)

  • Kim Yong;Moon Sung-Been
    • Journal of the Korean Society for Library and Information Science
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    • v.39 no.3
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    • pp.75-91
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    • 2005
  • The popularization of the internet has produced an explosion in amount of the information. The importance of web personalization is being more and more increased. The personalization is realized by learning user's interest. User's interest is changing continuously and rapidly. We use user's profile to represent user's interest. User's profile is updated to reflect the change of user's interest. In this paper we present an adaptive learning algorithm that can be used to reflect user's interest that is changing with time. We propose the User's profile model. With this profile user's interest is learned based on user's feedback. This approach has applied to develop hybrid recommendation system.

Effects of Web-based Simulation and High-fidelity Simulation of Acute Heart Disease Patient Care (급성 심장질환자 간호에 대한 웹기반 시뮬레이션과 고충실도 시뮬레이션 교육 효과)

  • Chu, Min Sun;Hwang, Yoon Young
    • The Journal of Korean Academic Society of Nursing Education
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    • v.23 no.1
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    • pp.95-107
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    • 2017
  • Purpose: The aim of this study was to assess the efficacy of web-based simulation and high-fidelity simulation on acute heart disease patient care. Methods: The project used a comparative study design with two simulation-based training modalities. A total of 144 nursing students participated in this study: 76 students in a web-based simulation, and 68 students in a high-fidelity simulation. Participants rated their self-efficacy, problem-solving ability, interest in learning, level of stress, satisfaction with the simulation experience, and level of difficulty of the simulation. Results: The scores for self-efficacy, problem-solving ability, and interest in learning including interest in clinical training in the high-fidelity simulation group was higher than in the web-based simulation group. However, there were no significant differences in interest in learning, including interest in nursing knowledge, and in lab training, level of stress, satisfaction with the simulation experience, and level of difficulty of the simulation. Conclusion: A high-fidelity simulation of acute heart disease patient care might be beneficial to developing many more abilities for nursing students than would a web-based simulation. Also, since the web-based simulation improved interest in nursing knowledge, it could be a viable alternative to high-fidelity simulation. Further study is needed to verify the effects of varied levels of simulation-based care with more rigorous outcomes.

The Effect of Teaching-Learning through Development and Application of WBI on the Learning Achievement in Mathematics -Focusing on the Unit 'Function' in the 1st grade of Middle School- (WBI 개발 적용을 통한 교수-학습이 수학과 학업성취 신장에 미치는 영향 -중학교 1학년 함수단원을 중심으로-)

  • 김웅환;오정학
    • Journal of the Korean School Mathematics Society
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    • v.4 no.2
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    • pp.103-113
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    • 2001
  • The teaching-learning method utilizing Web makes it possible for the students take the initiative in any field and offers the teaching strategy, methodology and teaching-learning materials suitable for students' ability and standard. The purpose of this study is to investigate the characteristics of WBI in mathematics class for the effective teaching and learning focusing on the unit 'Function' in the 1st grade of middle school and verify its effectiveness by developing the WBI programs which can progress learning achievement and applying them to math class. Two hypotheses were established for this study. Hypothesis 1 : There will be meaningful difference between the group that studies under WBI and the one that doesn't, Hypothesis 2 : There will be meaningful difference in the attitude and interest toward learning between the group that studies under WBI and the one that doesn't. In order to find out the result, I have made a comparative analysis through t-verification on the object of two classes of the 1st grade in P middle school that I have been working for. The result shows that the class utilizing WBI is more effective than the traditional lecture-oriented class since there is a meaningful difference between the control group and experimental one and also that the class based on WEB has a great influence on students' interest and positive attitude toward math class.

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Decoding Brain States during Auditory Perception by Supervising Unsupervised Learning

  • Porbadnigk, Anne K.;Gornitz, Nico;Kloft, Marius;Muller, Klaus-Robert
    • Journal of Computing Science and Engineering
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    • v.7 no.2
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    • pp.112-121
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    • 2013
  • The last years have seen a rise of interest in using electroencephalography-based brain computer interfacing methodology for investigating non-medical questions, beyond the purpose of communication and control. One of these novel applications is to examine how signal quality is being processed neurally, which is of particular interest for industry, besides providing neuroscientific insights. As for most behavioral experiments in the neurosciences, the assessment of a given stimulus by a subject is required. Based on an EEG study on speech quality of phonemes, we will first discuss the information contained in the neural correlate of this judgement. Typically, this is done by analyzing the data along behavioral responses/labels. However, participants in such complex experiments often guess at the threshold of perception. This leads to labels that are only partly correct, and oftentimes random, which is a problematic scenario for using supervised learning. Therefore, we propose a novel supervised-unsupervised learning scheme, which aims to differentiate true labels from random ones in a data-driven way. We show that this approach provides a more crisp view of the brain states that experimenters are looking for, besides discovering additional brain states to which the classical analysis is blind.

The Effect of Self-directed Learning by Self-selecting of the Level Tasks for the Students' own Level on Achievement in Mathematics (수준별 과제 학습지의 구안과 학습자 자신의 선택에 의한 자기 주도적 학습이 수학과 학업성취에 미치는 영향)

  • 노영순;윤희송
    • The Mathematical Education
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    • v.39 no.1
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    • pp.11-20
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    • 2000
  • Compared with other subjects, mathematics has great differences in achievement. In hope of solving this problems, most schools the level-movement learning. Although they say it may have some effect because of its homogeneous group, the level groups still have differences in achievement in their students abilities. So, this study aims to present an appropriate tasks for the advanced intermediate and beginner groups and to help self-directed learning by selecting an appropriate tasks for the students' own level. To achieve thiese goals, a great deal of level tasks were developed and given to the students. After lettins them an select appropriate tasks for their own level and perform self-directed teaming, the tasks were measured carefully for their interest attitude and achievement in learning. Consequently, we tried a new method to improve uniformity and to turn teacher-centered learning into student-centered teaming. The following is the conclusion to this study. First self-directed teaming based on the selection of level tasks has meaningful effects on learning achievement in mathematics, especially for the beginner group. Second though the above method did not improve an interest for mathematics, but was very effective in the improvement of learning attitudes.

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Computer Science Education and Use of Learning Materials (비전공자 컴퓨터교육과 학습보조 자료의 활용)

  • Nah, Jeong Eun
    • Journal of Engineering Education Research
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    • v.22 no.6
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    • pp.21-27
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    • 2019
  • In the last few years, interest in computer science education has increased significantly. The curriculum is being revised to introduce computer science. Although interest has focused on coding as the main subject, in fact the computer science includes much more than coding. It engages people in being creative with technology as well as understanding the fundamental principles of computer science. Therefore, it is important to consider the curriculum to provide a foundation by teaching and learning computer science. The curriculum is required the development of courses to teach computer science for non-majors in general education. To think like a computer scientist on the knowledge of computer science is computational thinking. In order to maximize the effectiveness of teaching and learning for computational thinking, various teaching methods and supplementary learning materials, and activities should be developed and provided.

Improving the Product Recommendation System based-on Customer Interest for Online Shopping Using Deep Reinforcement Learning

  • Shahbazi, Zeinab;Byun, Yung-Cheol
    • Soft Computing and Machine Intelligence
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    • v.1 no.1
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    • pp.31-35
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    • 2021
  • In recent years, due to COVID-19, the process of shopping has become more restricted and difficult for customers. Based on this aspect, customers are more interested in online shopping to keep the Untact rules and stay safe, similarly ordering their product based on their need and interest with most straightforward and fastest ways. In this paper, the reinforcement learning technique is applied in the product recommendation system to improve the recommendation system quality for better and more related suggestions based on click patterns and users' profile information. The dataset used in this system was taken from an online shopping mall in Jeju island, South Korea. We have compared the proposed method with the recent state-of-the-art and research results, which show that reinforcement learning effectiveness is higher than other approaches.