• The Journal of Korean Association of Computer Education
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• v.14 no.2
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• pp.1-12
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• 2011

This paper is to explore the effects of Robot Based Instruction(RBI) on improving immersion learning. According to our research, we found out that there is significant improvement in learning immersion and there's 9 sub-factors score after RBI was applied. Also from the result that there is no significant difference between male and female students in learning immersion score, we can found that RBI can improve the learning immersion of students regardless of the learner's sex. The result of verification on the learning immersion is difference by subjects showed that there is significant improvement only in korean, science, art subject among 7 subjects. The above-mentioned results are based on as follows two reasons. First, RBI is efficient to improve students' internal motivation and ownership about tasks, and that is related to environment of learning and instruction focused on authentic task and practice. Second, educational advantages of robot media was reflected appropriately in RBI, also appropriate instructional environment for RBI was supported.

• Asian Journal for Public Opinion Research
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• v.5 no.4
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• pp.319-345
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• 2018

Effective higher educational management in undergraduate nursing programs is an important issue from the viewpoint of stakeholders. This qualitative research aimed to examine the characteristics of nursing students and curriculum development of undergraduate nursing education from the opinions of Boromarajonani College of Nursing Saraburi, Thailand stakeholders. The population included 4 groups: 1) the alumni who have graduated within the past 5 years and currently work in primary, secondary, and tertiary care units, 2) the supervisors and colleagues of the alumni, 3) nursing lecturers, and 4) the current nursing students. The respondents who are the alumni, nursing lecturers, and current nursing student were selected using a purposive sampling, for the supervisors and colleagues were selected using snowball techniques. Semi-structured interview questions were used for data collection. Group discussions were conducted until saturation on 55 key informants. The qualitative data was analyzed using content analysis. Results showed the viewpoints of stakeholders on the characteristics of future nurse graduates were comprised of four elements: knowledge that meets standards; essential skills for self-development and lifelong learning process; good morals and professional ethics in providing nursing care; and nurse competencies in teamwork, communication, language, research, management, IT, life skills, and global literacy. The viewpoints on the development of the nursing curriculum focus on four elements: the learner, teaching and learning, course content, and instructor tasks. For learners, the admission criteria should include a minimum not only of knowledge, but also positive attitude, science, and art skills, since the nursing profession is both a science and the art of caring. Teaching and learning elements should be authentic, including exposure to real situations, an integrated network, and activities that improve nursing care. Course content was comprised of an updated curriculum, humanized nursing care, student center, theory and practice with moral integration, case-based study, critical thinking, multidisciplinary work, and love for the nursing profession. Instructor tasks are to elicit student ideas, provide opportunities to learn, support infrastructure, support technology use, and extra-curricular activities to develop the competencies of nursing students. Recommendations were that the curriculum administration should review the selection process of student candidates and instructional management to achieve expected outcomes of nursing characteristics in the future. The nurse lecturer should provide authentic and integrated instruction, decrease lecturing, cultivate a lifelong learning process, and sustain the nursing characteristics.

• English Language & Literature Teaching
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• v.9 no.2
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• pp.263-291
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• 2003

This paper is to help the students in elementary schools develop and improve their English listening and speaking skills by presenting effective teaching and learning techniques using puppetry. It is absolutely obvious that listening and speaking are very important skills for most EFL students. Using puppets in the classroom is a creative English teaching technique which can involve authentic, communicative language situations. Moreover, puppets appeal to children and can aid in lowering affective filters thereby creating a more comfortable learning environment. The study clearly showed that using puppets is feasible and enjoyable in elementary English classes. However, caution must be exercised in drawing and generalizing conclusions from this experience. The results of the experiment are as follows: First, using puppetry in the English class was found to have positive influence on students' affective domains (interst, attitude). Second, using puppets in the English classes was found to be efficient for improving students' English listening and speaking skills. Third, appropriate materials should be selected and well thought-out plans should be made to be successful English class using puppetry. Perhaps the most interesting line of future research is to use qualitative research to examine the effect of this technique on the teacher variable. Further research is recommended, especially on using puppetry for speaking proficiency and creating affectively comfortable learning atmospheres.

• Journal of Digital Contents Society
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• v.6 no.4
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• pp.209-216
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• 2005

The aim of this study is to examine the effects of web-based cyber instruction on EFL learning from the viewpoint of learners` perceptions and needs. Data was collected through a questionnaire survey that was carried out with 709 undergraduate student enrolled in three cyber English courses offered at N university during the secind semester in 2004. The results of the study indicated that the learners exhibited a positive attitude towards web-based cyber instruction and considered it a paper educational method in the cyber age. However, the students perceived that web-based cyber instruction was not greatly satisfactory in terms of cultivating their English communicative competence or improving the language skills they needed. It was also found that cyber instruction was still teacher-dominant, lacking in interaction, which made the students passive recipients of informaton presented. In comparison with off-line instruction, cyber instruction was not particularly better in enhancing their motivation interest or concentration on class. To be more effective, cyber instruction needs to be equipped not only with a large variety of contents and class activities, but also with more exposure to authentic language by native English speakers. The finding of the investigation yield some implications for the design and development of web-based cyber EFL programs.

• Journal of Multimedia Information System
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• v.9 no.2
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• pp.75-86
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• 2022

The existing image quality assessment (IQA) datasets have a small number of samples. Some methods based on transfer learning or data augmentation cannot make good use of image quality-related features. A No Reference (NR)-IQA method based on multi-task training and quality awareness is proposed. First, single or multiple distortion types and levels are imposed on the original image, and different strategies are used to augment different types of distortion datasets. With the idea of weak supervision, we use the Full Reference (FR)-IQA methods to obtain the pseudo-score label of the generated image. Then, we combine the classification information of the distortion type, level, and the information of the image quality score. The ResNet50 network is trained in the pre-train stage on the augmented dataset to obtain more quality-aware pre-training weights. Finally, the fine-tuning stage training is performed on the target IQA dataset using the quality-aware weights to predicate the final prediction score. Various experiments designed on the synthetic distortions and authentic distortions datasets (LIVE, CSIQ, TID2013, LIVEC, KonIQ-10K) prove that the proposed method can utilize the image quality-related features better than the method using only single-task training. The extracted quality-aware features improve the accuracy of the model.

• Geomechanics and Engineering
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• v.30 no.2
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• pp.107-121
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• 2022

Coal pillar assessment is of broad importance to underground engineering structure, as the pillar failure can lead to enormous disasters. Because of the highly non-linear correlation between the pillar failure and its influential attributes, conventional forecasting techniques cannot generate accurate outcomes. To approximate the complex behavior of coal pillar, this paper elucidates a new idea to forecast the underground coal pillar stability using combined unsupervised-supervised learning. In order to build a database of the study, a total of 90 patterns of pillar cases were collected from authentic engineering structures. A state-of-the art feature depletion method, t-distribution symmetric neighbor embedding (t-SNE) has been employed to reduce significance of actual data features. Consequently, an unsupervised machine learning technique K-mean clustering was followed to reassign the t-SNE dimensionality reduced data in order to compute the relative class of coal pillar cases. Following that, the reassign dataset was divided into two parts: 70 percent for training dataset and 30 percent for testing dataset, respectively. The accuracy of the predicted data was then examined using support vector classifier (SVC) model performance measures such as precision, recall, and f₁-score. As a result, the proposed model can be employed for properly predicting the pillar failure class in a variety of underground rock engineering projects.

• Journal of Engineering Education Research
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• v.15 no.4
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• pp.85-93
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• 2012

This paper is to explore the effects of Robot Based Instruction(RBI) on the learning attitude of elementary school students. According to this research, researcher found out that there is significant improvement in learning attitude score after RBI was applied. The result of verification on the learning attitude is difference by sex showed that male students' learning attitude score is more high better than another group. In particular, it showed that there is more significant improvement in science art discretionary activities subjects. The above-mentioned results are based on as follows two reasons. First, RBI is efficient to improve students' internal motivation and ownership about tasks, and that is related to environment of learning and instruction focused on authentic task and practice. Second, educational advantages of robot media was reflected appropriately in RBI, also appropriate instructional environment for RBI was supported.

• Journal of The Korean Association of Information Education
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• v.23 no.4
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• pp.315-327
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• 2019

The purpose of this study was to propose an effective teaching and learning model by investigating the influencing factors of elementary school students' interest and computational thinking in software education based on flipped learning. To accomplish the purpose of the study, we developed a software education program based on flipped learning for elementary school students and applied qualitative research based on the interviews with the students and outputs from the learning process. The results of this study, First, factors affecting interest in the elementary school students' software education based on flipped learning were 'the expectation of class', 'authentic task', 'the accomplishment of task' and 'interaction with peers'. Second, the factor of enhancing computational thinking was 'the accomplishment of task', 'interaction with peers', and 'the teacher's meaningful feedback'.

• Journal of the Korean Society of Earth Science Education
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• v.15 no.2
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• pp.171-191
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• 2022

The purpose of this study is to explore inductively learning effects of virtual field trips(VFTs) programs developed by elementary school students under the theme of minerals and rocks, focusing on learning in virtual geological components. Ten students attending 'H' elementary school in the metropolitan area voluntarily participated. In order to develop a virtual field trips programs, pre-actual outdoor geological field trips were conducted and virtual field trips programs were developed. In this process, written data of students observing, all video recording and voice recording materials of the course in which students participated, VR development data, and post-interview data were collected. Data were inductively analyzed focusing on four areas(cognitive, psychological, geography, and technical components) of learning in virtual geological field trips. As a result, there were positive learning effects for students in four areas. This study revealed that the study participants were not just participants in virtual learning, but rather developed classes for virtual field trips programs, which had significant results in terms of authentic inquiry.

• Education of Primary School Mathematics
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• v.15 no.2
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• pp.107-134
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• 2012

The purpose of this study is to investigate the effectiveness of two teaching methods of word problems, one based on mathematical modeling learning(ML) and the other on traditional learning(TL). Additionally, the influence of mathematical modeling learning in word problem solving behavior, application ability of real world experiences in word problem solving and the beliefs of word problem solving will be examined. The results of this study were as follows: First, as to word problem solving behavior, there was a significant difference between the two groups. This mean that the ML was effective for word problem solving behavior. Second, all of the students in the ML group and the TL group had a strong tendency to exclude real world knowledge and sense-making when solving word problems during the pre-test. but A significant difference appeared between the two groups during post-test. classroom culture improvement efforts. Third, mathematical modeling learning(ML) was effective for improvement of traditional beliefs about word problems. Fourth, mathematical modeling learning(ML) exerted more influence on mathematically strong and average students and a positive effect to mathematically weak students. High and average-level students tended to benefit from mathematical modeling learning(ML) more than their low-level peers. This difference was caused by less involvement from low-level students in group assignments and whole-class discussions. While using the mathematical modeling learning method, elementary students were able to build various models about problem situations, justify, and elaborate models by discussions and comparisons from each other. This proves that elementary students could participate in mathematical modeling activities via word problems, it results form the use of more authentic tasks, small group activities and whole-class discussions, exclusion of teacher's direct intervention, and classroom culture improvement efforts. The conclusions drawn from the results obtained in this study are as follows: First, mathematical modeling learning(ML) can become an effective method, guiding word problem solving behavior from the direct translation approach(DTA) based on numbers and key words without understanding about problem situations to the meaningful based approach(MBA) building rich models for problem situations. Second, mathematical modeling learning(ML) will contribute attitudes considering real world situations in solving word problems. Mathematical modeling activities for word problems can help elementary students to understand relations between word problems and the real world. It will be also help them to develop the ability to look at the real world mathematically. Third, mathematical modeling learning(ML) will contribute to the development of positive beliefs for mathematics and word problem solving. Word problem teaching focused on just mathematical operations can't develop proper beliefs for mathematics and word problem solving. Mathematical modeling learning(ML) for word problems provide elementary students the opportunity to understand the real world mathematically, and it increases students' modeling abilities. Futhermore, it is a very useful method of reforming the current problems of word problem teaching and learning. Therefore, word problems in school mathematics should be replaced by more authentic ones and modeling activities should be introduced early in elementary school eduction, which would help change the perceptions about word problem teaching.