• Journal of the Korean Chemical Society
• /
• v.64 no.6
• /
• pp.429-437
• /
• 2020

This study investigated a total of 529 integrated science teachers' implementation and changes to apply the curriculum-instruction-assessment. Data was collected through online survey on scientific competencies and skills, teaching-learning and assessment methods, changes of teacher's preparation, topics/materials, teaching-learning, and assessment to apply the curriculum-instruction-assessment as teaching integrated science. The results of the study were as follows: first, in the integrated science class, teachers implemented more on scientific communication and scientific inquiry among scientific core competencies, and analysis and interpretation of data collection and communication among scientific skills. Teachers often taught in lectures and used multiple choice items and short essay for evaluation. Teacher groups with less than 10 years of teaching experience appeared to be less active in teaching scientific core competencies and skills than those with more than 10 years. Second, Teachers have increased more time and efforts to search and to organize various materials in addition to textbooks, and try to integrated concepts in various fields to prepare learning topics and textbooks. Third, even though teachers made little change in implementing the process-oriented assessment, they used instructional strategies to increase student engagement in the integrated science class, restructured the instruction to provide immediate feedback after conducting the assessment. It is necessary to build a system that ensures fairness and credibility of evaluation while respecting the autonomy and professionalism of teachers.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.12 no.1
• /
• pp.59-64
• /
• 2008

In this paper, we developed an virtual lecture to study digital logic circuits. The contents is intended fer the students without or with little knowledge about electrics or electronics. For the beginners, the lecture contains the basic electronics and basic circuit theory as well as the degital logic circuits to be more practical lecture. And we developed the virtual circuit lab which uses real-like devices, circuits and interactive objects for the students to experience practical digital circuits. With the features described above, this contents would be useful for the beginners who want to studying digital logic circuits.

• The Mathematical Education
• /
• v.62 no.2
• /
• pp.289-302
• /
• 2023

In today's digital information society, student knowledge and skills to analyze big data and make informed decisions have become an important goal of school mathematics. Integrating big data statistical projects with digital technologies in high school <Artificial Intelligence> mathematics courses has the potential to provide students with a learning experience of high impact that can develop these essential skills. This paper proposes a set of guidelines for designing effective big data statistical project-based tasks and evaluates the tasks in the artificial intelligence mathematics textbook against these criteria. The proposed guidelines recommend that projects should: (1) align knowledge and skills with the national school mathematics curriculum; (2) use preprocessed massive datasets; (3) employ data scientists' problem-solving methods; (4) encourage decision-making; (5) leverage technological tools; and (6) promote collaborative learning. The findings indicate that few textbooks fully align with these guidelines, with most failing to incorporate elements corresponding to Guideline 2 in their project tasks. In addition, most tasks in the textbooks overlook or omit data preprocessing, either by using smaller datasets or by using big data without any form of preprocessing. This can potentially result in misconceptions among students regarding the nature of big data. Furthermore, this paper discusses the relevant mathematical knowledge and skills necessary for artificial intelligence, as well as the potential benefits and pedagogical considerations associated with integrating technology into big data tasks. This research sheds light on teaching mathematical concepts with machine learning algorithms and the effective use of technology tools in big data education.

• Smart Media Journal
• /
• v.10 no.2
• /
• pp.76-83
• /
• 2021

With the development and use of smart devices such as smartphones and tablets increases, the mobile application market based on mobile devices is growing rapidly. Mobile application users write reviews to share their experience in using the application, which can identify consumers' various needs and application developers can receive useful feedback on improving the application through reviews written by consumers. However, there is a need to come up with measures to minimize the amount of time and expense that consumers have to pay to manually analyze the large amount of reviews they leave. In this work, we propose to collect delivery application user reviews from Google PlayStore and then use machine learning and deep learning techniques to classify them into four categories like application feature advantages, disadvantages, feature improvement requests and bug report. In the case of the performance of the Hugging Face's pretrained BERT-based Transformer model, the f1 score values for the above four categories were 0.93, 0.51, 0.76, and 0.83, respectively, showing superior performance than LSTM and GRU.

• Journal of The Korean Association For Science Education
• /
• v.31 no.6
• /
• pp.836-847
• /
• 2011

This study investigated the effects of taking elective science courses in high school on studying science at the university level. The research methods undertaken for this study included surveys of college students in science areas. For physics and biology major students, no significant differences in achievement in the basic courses at the university level were found between the groups that took only Science I courses and the group took Science I and II courses. For chemistry major students, achievement for the group that took Chemistry I and II courses was significantly higher in the basic courses, while no significant differences between the two groups was found in the advanced courses. The perceptions of college students regarding the effects of their science learning experience in high school on learning science at the university level were investigated. All the college students perceived that whether or not they took Science II courses in high school, it did not affect their learning in basic science courses in college. They also perceived that students were able to overcome difficulties by making extra effort even if they did not take Science II courses in high school.

• Journal of Korean Home Economics Education Association
• /
• v.35 no.4
• /
• pp.47-60
• /
• 2023

The purpose of this study was to examine students' experiences in the dietary life class using traditional Korean desserts in middle school home economics classes. Participatory observation, in-depth interview, and site data collected in this study were analyzed through emic coding, and the results are as follows. First, students had 'expectations about Han-gwa lab classes.' Students were always positive about lab classes, looking forward to eating delicious food and eagerly awaiting their first lab class since entering middle school. Additionally, there were many students who were experiencing Han-gwa for the first time, so expectations about learning about Han-gwa were high. Second, students engaged in 'self-directed learning through the Han-gwa project.' In other words, while creating an activity book about Han-gwa, the students realized self-directed learning about the differences between Han-gwa and Yang-gwa (Western-style sweets), and the scientific principles of cooking Han-gwa. Third, students had 'instilled pride in Han-gwa through lab classes.' The students learned that there was sufficient awareness and change in values to cherish Han-gwa and to inherit its traditions. Fourth, there was a 'potential curriculum effect.' Students who did not experience face-to-face group activities for three years in middle school due to COVID-19 came to recognize the importance of collaboration and even tried making Han-gwa at home. In order for students to have pride in Han-gwa, it was confirmed that it was necessary for home economics teachers at school to actively teach classes on traditional foods and provide students with many opportunities to encounter them.

• Journal of Science Education
• /
• v.35 no.1
• /
• pp.13-22
• /
• 2011

There is an increasing emphasis on science teaching in inclusion education setting, but still few research and practice in science education field including science teacher training course as well. It is well known that teaching efficacy of teacher is an important factor to influence teaching behavior and students' learning, but it is hard to find related studies about self-efficacy on teaching science for the disabled students. In this study pre-service science teachers' self-efficacy on science teaching for the disabled students was investigated and analyzed. For this a questionnaire consisted of 3 sub-scale like learning efficacy scale, teaching efficacy scale, and outcome expectancy scale was enacted to 97 pre-service science teachers. As a result, pre-service science teachers showed relatively low efficacy in teaching but showed positive learning efficacy and outcome expectancy. There was no meaningful difference in distribution of efficacy belief by gender, however the experience of teaching science for the disabled students made difference in outcome expectancy. From this study the implication for science teacher training course was inferred to meet the needs for science education in inclusion setting.

• Journal of the Institute of Convergence Signal Processing
• /
• v.14 no.3
• /
• pp.147-153
• /
• 2013

Functional game, which is the combination of play and learning and a futuristic tool, can minimize the dysfunction and maximize the proper functions, and furthermore, has taken root as a new alternative that can change the game industry and game culture. Recently, the focus of game and education markets is shifting to the development of more advanced learning contents, rather than emphasizing the self-control and motivation of users. Along with that, the game market has excluded the socially dysfunctional elements, such as the addiction and learning disabilities, and has witnessed a diversification into the human-friendly entertainment business that emphasizes the mental and physical health and pursues scientific educational effects. In addition, functional games are expanding its reach from the professional sectors - such as medical aide/medical learning, military simulation, health, auxiliary tools, special education and learning tools - to the realm of routine education, mental health, etc., and has seen a steady growth. However, most functional games, which are being currently planned and developed to cope with the special characteristics of the market, have not undergone accurate scientific assessment of their functions and have not proven their effectiveness. An overwhelming proportion of the functional games are being developed based on the intuition and experience of game developers. Moreover, the type of games, which involve the repetition of simple tasks or take the form of simple puzzles, cannot effectively combine the practically interesting factors and the learning effects. Most games incorporate unscientific methods leading to the vague anticipation of improvement in functions, rather than the assessment of human functions. In this paper, a study was conducted to present the measures that could maximize the effects of functional games in relation to the changes in the visual and auditory stimulations in order to maximize the effects of functional games, i,e., the immersion and concentration. To compare the degree of effects arising from the visual stimulation, the functional game contents made in the form of 2D and 3D were utilized. In addition. ultra sound and 3-dimensional functional game contents were utilized to compare the degree of effects resulting from the changes in the auditory stimulation. The brainwave of the users were measured while conducting the experiments related to the response to the changes in visual and auditory stimulations in 3 steps, and the results of the analysis were compared.

• Journal of Korean Tunnelling and Underground Space Association
• /
• v.23 no.6
• /
• pp.469-484
• /
• 2021

Rock mass classification results have a great influence on construction schedule and budget as well as tunnel stability in tunnel design. A total of 3,526 tunnels have been constructed in Korea and the associated techniques in tunnel design and construction have been continuously developed, however, not many studies have been performed on how to assess rock mass quality and grade more accurately. Thus, numerous cases show big differences in the results according to inspectors' experience and judgement. Hence, this study aims to suggest a more reliable rock mass classification (RMR) model using machine learning algorithms, which is surging in availability, through the analyses based on various rock and rock mass information collected from boring investigations. For this, 11 learning parameters (depth, rock type, RQD, electrical resistivity, UCS, V_p, V_s, Young's modulus, unit weight, Poisson's ratio, RMR) from 13 local tunnel cases were selected, 337 learning data sets as well as 60 test data sets were prepared, and 6 machine learning algorithms (DT, SVM, ANN, PCA & ANN, RF, XGBoost) were tested for various hyperparameters for each algorithm. The results show that the mean absolute errors in RMR value from five algorithms except Decision Tree were less than 8 and a Support Vector Machine model is the best model. The applicability of the model, established through this study, was confirmed and this prediction model can be applied for more reliable rock mass classification when additional various data is continuously cumulated.

• Journal of Korean Home Economics Education Association
• /
• v.29 no.4
• /
• pp.117-131
• /
• 2017

This study was performed to analyze education contents related to milk in current home economics textbooks of middle school, and to investigate intake status, consumption behaviors, perception and nutritional knowledge of milk and dairy products among 364 middle school students in Gongju for improvement of milk education in home economics subjects and milk intake of adolescents. As a result, education contents of milk and dairy products in home economics textbooks currently applied in middle school were major nutrients, consumption method for balanced diet, and selection and storage of milk and dairy products, thus it tended not to match current food trend. Only 30.5% of subjects met 2 cups of milk a day, the recommended level. The main reason for drinking milk was to 'be taller' and 'to quench thirst' and there was a difference by gender(p<0.01). The rate of not participating in school milk program was 23.1% of total and its satisfaction was moderate. The most popular dairy products by subjects were ice cream, followed by yogurt and cheese, and the choice of milk was focused on 'taste' or 'expiration date'. The rate of knowing certification mark of K-MILK was low at 28.8%, and most subjects knew as 'domestic milk use'. In home economics class, experience-based learning such as cow ranch experience was the most preferred instruction method for milk followed by laboratory practice and lecture, and there was a difference by gender(p<0.001). Perception degree of milk and dairy products was moderate and male subjects were more positively perceived than female subjects(p<0.01). Nutritional knowledge level of milk and dairy products was moderate and female subjects were higher than male subjects(p<0.01). Therefore, education contents of milk and dairy products of home economics textbooks of middle school should be centered on real life in accordance with food trend, and applied student participation-based instruction methods such as experience-based learning. In addition, it is necessary to enhance taste and merchandise of milk and to provide them with preferred milk and dairy products in school milk program for improvement of milk intake of adolescents.