• Journal of the Korean Society of Earth Science Education
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• v.16 no.3
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• pp.374-384
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• 2023

This study investigated the impact on pre-service teachers during the development of an integrated science education program, emphasizing group intelligence, values, and software application in response to societal demands. The results revealed several key findings. Firstly, the development of an integrated science education program utilizing group intelligence enhanced the learning motivation of pre-service teachers, particularly demonstrating improvements during the implementation phase. Secondly, the group intelligence-based development of the integrated science education program cultivated the group intelligence competence of pre-service teachers, manifesting positive effects throughout the entire process of program development, demonstration, and feedback. Thirdly, it was evident that the integration of software and individual values into science curriculum requires specialized support.

• Economic and Environmental Geology
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• v.57 no.3
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• pp.329-342
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• 2024

The exponential increase in nitrate pollution of river water poses an immediate threat to public health and the environment. This contamination is primarily due to various human activities, which include the overuse of nitrogenous fertilizers in agriculture and the discharge of nitrate-rich industrial effluents into rivers. As a result, the accurate prediction and identification of contaminated areas has become a crucial and challenging task for researchers. To solve these problems, this work leads to the prediction of nitrate contamination using machine learning approaches. This paper presents a novel approach known as Grey Wolf Optimizer (GWO) based on the Stacked Ensemble approach for predicting nitrate pollution in the Cauvery Delta region of Tamilnadu, India. The proposed method is evaluated using a Cauvery River dataset from the Tamilnadu Pollution Control Board. The proposed method shows excellent performance, achieving an accuracy of 93.31%, a precision of 93%, a sensitivity of 97.53%, a specificity of 94.28%, an F1-score of 95.23%, and an ROC score of 95%. These impressive results underline the demonstration of the proposed method in accurately predicting nitrate pollution in river water and ultimately help to make informed decisions to tackle these critical environmental problems.

• International conference on construction engineering and project management
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• 2020.12a
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• pp.122-128
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• 2020

This research investigates how a Virtual Reality (VR)-based simulation could be used to train safe operation skills for forklift operators. Forklift operation is categorized as high-risk work by many occupational health and safety regulators and authorities due to high injury and fatality rates involved with forklifts. Therefore, many safety guidelines have been developed for forklift operators. Typically, forklift operation safety training is delivered based on instructional texts or videos, which have limitations in influencing people's safety behavior. Against this background, we propose a VR-based forklift simulator that can enable safe operation skills training through a feedback system. The training program consists of several modules to teach how to perform the basic tasks of forklift operation, such as driving, loading and unloading, following the safety guidelines. The system provides instantaneous instructions and feedback regarding safe operation. This training system is based on the model of "learning-by-doing". The user can repeat the training modules as many times as necessary before being able to perform the given task without violating any safety guidelines. The last training module tests the user's acquisition of all safety skills required. The user feedback from several demonstration sessions showed the potential usefulness of the proposed training system.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.25-33
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• 2019

Recently, universities have been strengthening software basic education to be active in the era of the fourth industrial revolution. Non-majored students need a variety of teaching methods because they have low knowledge of programming or a lack of connectivity with major courses. Therefore, in this paper, a learning model applying the step-by-step blind programming practice based on the Demonstration Modeling Making model was designed and applied to the actual lecture. As a result of analyzing the problem solving ability of the learner, it was confirmed that the learner's self - solving ratio increased as parking progressed. In the following study, it is necessary to analyze the learner's learning results in various aspects and to study effective teaching methods according to the difficulty of the learning contents.

• Journal of Internet Computing and Services
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• v.16 no.5
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• pp.99-105
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• 2015

Currently robots are widely used in schools for educational purpose. With wide spread of robot-based education, it is known that major advantage of robot-based education is to enhance creativity and logical thinking of students. Although robots can be very useful tools for assisting students' study activities, there have not been lots of teaching-learning models for robot-based education.In this paper, a teaching-learning model is presented for robot-based education. The proposed model is designed based on constructivism. The proposed model consists of 6 stages: preparation, design, assembling, demonstration run, evaluation, and application & extension. The proposed model has the following characteristics. First, the proposed model is designed to enhance creativity and logical thinking ability of learners. Learners are supposed to be involved in self-directed activities and required to provide results based on their own ideas. Teachers are supposed to mediate students only if necessary. Second, learners are encouraged to participate in activity via diverse interaction. The interaction in this model includes learner-to-learner interaction, learner-to-teacher interaction, and learner-to-expert interaction. The proposed model encourages learners to solve the problem with cooperating each other. Also, teachers are supposed to guide students if necessary and observe and monitor behavior of students all the time. Third, motivation is provided in the beginning stage of the instruction. Fourth, in the proposed model, both study results and study process are equally important. In the model, study process is reviewed at the final stage.

• Journal of Korean Home Economics Education Association
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• v.30 no.4
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• pp.127-139
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• 2018

The purpose of this study was to develop and examine the effect of flipped learning in hand sewing practice. The flipped learning class was designed to three steps(pre-class, in-class, after-class). Pre-class: Students learned kinds of hand sewing by watching video and ppt. In-class: Students were evaluated for their prior learning through the quiz. After the quiz, instructor had a brief hand sewing demonstration. Then basic hand sewing practice was progressed. After that advanced project(making things using more than 3 kinds of hand sewing methods) was progressed. After-class: Students were evaluated each other through project exhibition. The effectiveness of flipped learning was measured based on the students' self-reflective journals and class awareness surveys. As the results, students were actively participated in flipped learning and satisfied with the overall quality of the flipped learning class. They said that videos, project & feedback were helpful in understanding hand sewing. Flipped learning applied to hand sewing practice showed more positive learning effect than the general practice class.

• Journal of Korea Society of Industrial Information Systems
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• v.20 no.3
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• pp.1-9
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• 2015

Internet ethics is one of liberal arts courses in a college. We also have taught this subject for a number of years. In order to effectively communicate to students the internet ethics course, we gave some demonstration practice lectures by taking advantage of internet ethics related videos. Since the latest video presentation and its discussion were performed, it was helpful for students to recognize the internet ethical issues and concerns. However, simply video watching is short in the view of students' learning outcome improvement, since each student just watches the content passively in a class. Thus, we assign small student group consisting of 3 people make a video on internet ethics topic. This team project based class methodology is effective to each student who actively participates in the class and understands the concept which they directly make a video. We confirmed that classroom students' understanding for internet ethics has been increased by a survey of the class attendees.

• Journal of The Korean Association For Science Education
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• v.31 no.4
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• pp.641-662
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• 2011

In this study, explicit Teaching and Learning strategy for middle school students were developed to improve basic science process skills. After applying these strategy in an actual class, the effects of Teaching and Learning strategy and change of students were analyzed. Explicit Teaching and Learning strategy to improve basic science process skills are developed based on analyzing preceding research. The use of application criteria for class of basic science process skills combined with explicit Teaching and Learning strategy, it is sought for the explicit instructional procedures of said skills. After analyzing the class in which explicit Teaching and Learning strategy were demonstrated, students reported that they were able to comprehend basic science process skills more effectively through the stages of explicit explaining and independent practice. The showing demonstration stage was heavily emphasized by the teacher in this class. Analysis of students' understanding degree about basic science process skills, most of them show positive outcome. Another analysis of ripple effect on daily life and other subjects, it is found that students could have the attitude to make use of science process skills for themselves. Through the result of study, it is found that explicit Teaching and Learning strategy that are developed from this study are an effective way to comprehension students' basic science process skills. Thus, continued study is needed to develop and spread explicit Teaching and Learning strategy of science process skills to be applicable in actual classes in secondary schools.

• Journal of The Korean Association of Information Education
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• v.22 no.2
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• pp.231-238
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• 2018

Software education has started as a compulsary subject or part in elementary, middle and high school, but there is a limitation for using the physical computing toolkit and instructional guidelines that teacher can use. The purpose of this study is to propose a computing education program using a physical computing toolkit called the Micro:bit. The novel instructional model is called "MDIAP" which consists of five stages : Motivation, Demonstration, Imitation, Application, Presentation. Instructional process is presented in spiral, consisting of basic micro-bit sensors, and maker's learning using additional sensors and actuators. This study will help students to enhance creative computational thinking through the MDIAP instructional activities.

• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.689-697
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• 2023

Purpose: The purpose of this study is to automatically extract information on underground facilities using a general-purpose smartphone in the process of applying the mini-trenching method. Method: Data sets for image learning were collected under various conditions such as day and night, height, and angle, and the object detection algorithm used the R-CNN algorithm. Result: As a result of the study, F1-Score was applied as a performance evaluation index that can consider the average of accurate predictions and reproduction rates at the same time, and F1-Score was 0.76. Conclusion: The results of this study showed that it was possible to extract information on underground buried materials based on smartphones, but it is necessary to improve the precision and accuracy of the algorithm through additional securing of learning data and on-site demonstration.