• Journal of the Korean earth science society
• /
• v.23 no.8
• /
• pp.640-648
• /
• 2002

The purposes of this study is to examine the effects of cooperative teaming through student team-achievement division (STAD) model on high school students’ leaming achievements and scientific attitudes in the field of astronomy. It is another aim to compare effects of cooperative learning based on improvement scores with traditional teaching method done only by teachers in astronomy field. This study was conducted on two tenth grade classes in a boy’s high school in Incheon. Students had four classes a week in cooperative learning way for four weeks. During cooperative learning classes, formative evaluation was given to students every week oil Stars and Exploring the Solar System. The results show that these two approaches have great different effects on students’ astronomical knowledge and that students adopt more positive scientific attitude toward cooperative learning classes than traditional ones. In conclusion, the cooperative learning is more effective and positive than traditional one in learning astronomical knowledge and in students scientific attitude for science classes.

• Journal of The Korean Association For Science Education
• /
• v.40 no.6
• /
• pp.649-656
• /
• 2020

In this study, we analyzed the learning elements and achievement standards, and explored the appropriateness and hierarchy of content were analyzed related to the nine types of traditional astronomical instruments presented in the traditional science unit of the History of Science course to improve the problematic situation in which students show low selection rates for the History of Science, one of the elective courses in high school science. Based on the results of this analysis, we suggested ways to utilize each astronomical instrument for teaching and learning in science curriculum with different grade bands. Using the results of this study as a starting point, if a follow-up study that develops specific achievement standards or inquiry activities related to traditional astronomical instruments can be conducted, students' awareness of Korean traditional science culture can be improved, and furthermore it is expected to increase the student's selection rate for the History of Science course.

• Proceedings of the IEEK Conference
• /
• 2009.05a
• /
• pp.94-96
• /
• 2009

In this paper, we present the Q-learning method for adaptive traffic signal control on the basis of multi-agent technology. The structure is composed of sixphase agents and one intersection agent. Wireless communication network provides the possibility of the cooperation of agents. As one kind of reinforcement learning, Q-learning is adopted as the algorithm of the control mechanism, which can acquire optical control strategies from delayed reward; furthermore, we adopt dynamic learning method instead of static method, which is more practical. Simulation result indicates that it is more effective than traditional signal system.

• The Journal of Korean Association of Computer Education
• /
• v.8 no.1
• /
• pp.55-63
• /
• 2005

Recently, web-based E-learning systems have entered the spotlight by providing new learning environments that break down spatial and temporal limitations. The key to building the web-based E-learning system is in determining how to effectively use the system and to evaluate the degree of learning achieved by the students that use it. In traditional off-line learning systems, we can evaluate students by counting how many questions, designed to evaluate their learning achievement, he or she answers correctly within a predetermined time limit. But this method would make individualized learning, a strong point of E-learning systems, impossible because these systems provide same learning strategy to all students even though they achieve a different level of learning. Therefore, in this paper, I will find any relationships between given test answers using fuzzy implication theory, I call these fuzzy correlations, and then generate evaluation results that are reflected in those relationships. I will compare the differences between this evaluation method and a traditional evaluation method where a student takes a test to evaluate his or her learning achievement after some learning period. Finally, I will discuss how we can use these results in individualized learning.

• Journal of Korean Elementary Science Education
• /
• v.22 no.2
• /
• pp.156-162
• /
• 2003

The purpose of this study was to explore effects of 4MAT system program on the creativity, science achievement and science-related attitudesof elementary school students. 4MAT learning program is a model based on the whole brain learning including the learning styles and the cognitive specialization of left and right hemispheres. The study was conducted for 10 weeks during the 1998 second semester in H elementary school which is located in Incheon. 4MAT learning program was applied to the 5th and 6th grade students. One hundred 5th grade students and eighty three 6th grade students are selected for this study. The experimental group was taught in applying the 4MAT system, and the control group was taught by the traditional manner. The results of this study were as follows: There was a significant difference on creativity between the instruction by applying 4MAT system and the traditional instruction. In the 6th grade, there was a statistically significant difference on science achievement and science-related attitude. In the 5th grade, there was slightly increased, but statistically onsignificant. In conclusion, the instruction by applying 4MAT system was more effective in developing student's creativity than the traditional instruction in both grades.

• Computers and Concrete
• /
• v.33 no.3
• /
• pp.285-299
• /
• 2024

Recently, many engineering computations have realized their digital transformation to Machine Learning (ML)-based systems. Predicting the behavior of a structure, which is mainly computed with structural analysis software, is an essential step before construction for efficient structural analysis. Especially in the seismic-based design procedure of the structures, predicting the lateral load capacity of reinforced concrete (RC) columns is a vital factor. In this study, a novel ML-based model is proposed to predict the maximum lateral load capacity of RC columns under varying axial loads or cyclic loadings. The proposed model is generated with a Deep Neural Network (DNN) and compared with traditional ML techniques as well as a popular commercial structural analysis software. In the design and test phases of the proposed model, 319 columns with rectangular and square cross-sections are incorporated. In this study, 33 parameters are used to predict the maximum lateral load capacity of each RC column. While some traditional ML techniques perform better prediction than the compared commercial software, the proposed DNN model provides the best prediction results within the analysis. The experimental results reveal the fact that the performance of the proposed DNN model can definitely be used for other engineering purposes as well.

• International Journal of Computer Science & Network Security
• /
• v.22 no.3
• /
• pp.245-251
• /
• 2022

In the context of the pandemic, educational institutions had to ensure an instant transition to remote technological models of communication within the new conditions of the educational environment. The purpose of the academic paper lies in determining the role of the communicative model of educational transformations in the realities of (post) modernity. The research methodology is based on a survey of 120 students from 10 higher educational institutions (HEIs) of Ukraine through an online form regarding the importance of live communication during a pandemic. Results. The communicative model changed significantly during the pandemic - the interaction was mainly due to technologies. The research has identified four communication models of educational transformations under the conditions of the pandemic, depending on learning models. The first traditional model of distance learning involves distance learning; the second model involves contact remote training using remote educational technologies; the third model is blended learning, which combines remote and traditional learning formats, synchronous and asynchronous modes of interaction; the fourth model is traditional contact training. The empirical study of the effectiveness of communication models proves that live communication remains extremely important for learning and understanding of educational materials by students, and technology has provided support for such communication. Along with this, seminars and video lectures with presentations combining live communication and communication technologies are as important as digital learning tools. The most effective teaching method for mastering and memorizing educational material was a live dialogue with a teacher at seminars in ZOOM, followed by individual written assignments on the studied topic.

• Korean Journal of Child Studies
• /
• v.16 no.2
• /
• pp.65-80
• /
• 1995

This study explored principles of child education in such traditional Korean child education books as "So Hak", "Dong Mong Sun Seup", "Kyuk Mong Yo Kyul", and "Sa So Goel". Principles of child education presented in those traditional Korean child education books can be identified as (1) modeling and identification, (2) integration of knowledge and behavior, (3) spontaneity of learning, (4) learning by doing, (5) early education with consideration of critical periods, and (6) individualization. From those findings, we can conclude that traditional Korean child education (1) emphasizes learner characteristics and principles of child development, (2) gives good guidance to significant adults around children, and (3) suggests implications to modern child education practices which are mainly concerned with knowledge and function.

• Journal of the Korean Data and Information Science Society
• /
• v.27 no.2
• /
• pp.295-304
• /
• 2016

This study investigates significant factors in mathematical learning and examines the inter-grade and gender-based differences of elementary students. Five factors that are counted to affect the view of mathematical learning are (1) confidence, (2) utility, (3) aversion, (4) practical ability, and (5) traditional view of mathematical learning. The factor analyses on third graders and sixth graders each illustrate the features of inter-grade factors. The result also indicates that the factors may vary depending on the traits and circumstances of students surveyed. Third graders are more likely to be positive compared to sixth graders in terms of confidence and practical ability, which calls for implementing 'doing mathematics' and reinforcing the method of mathematical learning in the general educational field.

• English Language & Literature Teaching
• /
• v.16 no.4
• /
• pp.239-265
• /
• 2010

This study investigates the effects of corpus-based vocabulary tasks on the acquisition of English vocabulary in an attempt to explore the influence of corpus use on EFL pedagogy. For this to be realized, a total of 40 Korean high school students participated in the study over a 4-week period. An experimental group used a set of corpus-based tasks for vocabulary learning, whereas a control group carried out a traditional task (i.e., the L1-L2 translation) for vocabulary learning. To assess learning gains, the students were asked to complete the pre- and post-treatment tests measuring the word form, meaning, and use aspects of target lexical items. Results of the study indicate that in the experimental group the corpus-based vocabulary tasks were beneficial for the learning of word forms and use. In particular, corpus-based benefits were greatest in the low-proficiency EFL learners' collocational aspects of vocabulary use. On the other hand, in the control group, the traditional vocabulary tasks benefited the meaning aspects of target vocabulary items the most. In addition, survey results revealed that most students were positive about the corpus-based learning experience although some expressed reservations about the heavy cognitive load and the time-consuming nature of the analysis of corpus data primarily due to learners' lack of language proficiency.