• International Journal of Advanced Culture Technology
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• v.10 no.2
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• pp.62-68
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• 2022

Evaluation as learning is important for the learner competency test, and the applicable method is studied. Assessment is the role of diagnosing the current learner's status and facilitating learning through appropriate feedback. The system is insufficient to enable process-oriented evaluation in small educational institute. Focusing on becoming familiar with the AI through experience can end up simply learning how to use the tools or just playing with them rather than achieving ultimate goals of AI education. In a previous study, the experience way of AI education with PLAY model was proposed, but the assessment stage is insufficient. In this paper, we propose ELAS (Experiential K-12 AI education Learning Assessment System) for small educational institute. In order to apply the Assessment factor in in this system, the AI-factor is selected by researching the goals of the current SW education and AI education. The proposed system consists of 4 modules as Assessment-factor agent, Self-assessment agent, Question-bank agent and Assessment -analysis agent. Self-assessment learning is a powerful mechanism for improving learning for students. ELAS is extended with the experiential way of AI education model of previous study, and the teacher designs the assessment through the ELAS system. ELAS enables teachers of small institutes to automate analysis and manage data accumulation following their learning purpose. With this, it is possible to adjust the learning difficulty in curriculum design to make better for your purpose.

• Journal of Information Technology Applications and Management
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• v.29 no.1
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• pp.29-45
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• 2022

The Fourth Industrial Revolution era requires people to have the ability of integrated thinking, critics, sensitivity, and creativity in an integrated manner. Therefore, teaching methods are expected to become more suitable for the trend. In this belief, current teacher-leading education method should move to students' self motivating one and consist of programs in which students voluntarily involve. In this reason, this study suggests FPBL educational method model that is combines project-based learning with flipped learning by analysing preceding research and digital painting tool class was designed by applying it. As a result of applying the designed class model to the class, all of the class satisfaction, effectiveness, and interaction were evaluated positively. Problems such as limitations of project classes due to non-face-to-face classes, large amount of learning before class, and reduced concentration during class were found. Therefore, when the FPBL class model is conducted non-face-to-face, it will be necessary to further strengthen the role of the instructor, provide lecture videos summarizing the core contents, and improve concentration by providing active participation and fun using various digital tools. The result of the study looks significant by confirming the possibility of applying FPBL model not only in design education but also other educational settings.

• Journal of Korea Society of Digital Industry and Information Management
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• v.19 no.3
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• pp.245-251
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• 2023

Facial expression recognition plays a significant role in understanding human emotional states. With the advancement of AI and computer vision technologies, extensive research has been conducted in various fields, including improving customer service, medical diagnosis, and assessing learners' understanding in education. In this study, we develop a model that can infer emotions in real-time from a webcam using transfer learning with TensorFlow.js and MobileNet. While existing studies focus on achieving high accuracy using deep learning models, these models often require substantial resources due to their complex structure and computational demands. Consequently, there is a growing interest in developing lightweight deep learning models and transfer learning methods for restricted environments such as web browsers and edge devices. By employing MobileNet as the base model and performing transfer learning, our study develops a deep learning transfer model utilizing JavaScript-based TensorFlow.js, which can predict emotions in real-time using facial input from a webcam. This transfer model provides a foundation for implementing facial expression recognition in resource-constrained environments such as web and mobile applications, enabling its application in various industries.

• Educational Technology International
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• v.10 no.2
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• pp.127-143
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• 2009

The purpose of this study was to identify the interaction patterns in distance only mode e-Learning. In order to investigate this study, messages shown in the electronic notice board were analyzed to see how interaction occurs between teacher and learner or learner and learner under the e-learning of cyber university. To analyze messages was applied according to the framework by Henri's contents analysis model. As a result of contents analysis on electronic board, the participative dimension was 399 messages. A learner put on 7~8 messages a day. The number of messages was low compared to the number of learners, but the number of inquiries was about 140. That means that each learner contacts and checks messages at least once a day. The meaning dimension was 600 units. The main interaction patterns were Interactive-social-cognitive-metacognitive. This means that e-Learning in distance only mode leads a positive attitude of learners as a self-directed learning, and needs teacher's well-structured instructional strategies for increasing interaction. In conclusion, social dimension and interactive dimension of messages support learners psychologically in the process of learning though they directly guide learning under the circumstances of e-learning lacking face-to-face element. It can be interpreted that the teacher's role is significantly important in order to attract learners' positive participation and cognitive and meta-cognitive dimension of messages and activities

• Asia pacific journal of information systems
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• v.31 no.1
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• pp.43-75
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• 2021

Clearly, the smartphone is increasingly playing a greater role in everyday life, thus providing opportunities to evaluate how well the use of the smartphone meets the requirements of undergraduate students in independent learning outside of a classroom setting. This study used the task-technology fit (TTF) model to explore the effectiveness of smartphone usage to interact with learning materials in independent learning outside of classrooms, the need for smartphone support, and the fit of devices to tasks as well as performance. First, the study used interviews, observation, and survey data to identify what are the most important constructs of smartphones that stimulate students to interact with learning materials in independent learning outside of classrooms. Based on the findings from the exploratory study and Task Technology Fit theory, we postulated the Navigation design, Ergonomic design, Content support, and Capacity as the essential dimension of the smartphone construct. Then, we proposed a research model and empirically tested hypotheses with the structural model analysis. The results reveal a significant positive impact of task and technology on TTF for smartphone usage to interact with learning materials in independent learning outside of classrooms; it also confirmed the TTF and performance have a direct effect on actual use.

• The Journal of Korean Association of Computer Education
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• v.14 no.1
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• pp.81-89
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• 2011

Cyber-home Learning aims to extend learning space from the classroom to real-life situations, and teachers of research schools on Cyber-home learning have indicated the importance of connection with school instruction in order to improve students' performance. The goal of this study is to evaluate the influence of the instructional method( blended-learning vs just cyber learning) and the learning styles by Kolb's LSI on Cyber-home learning. We carried out the experiment using two similar classes in the social and math subjects for 1 semester. The results statistically shows the instructional method is the most influence on learning score and the next element is the learning styles. Therefor this study proved again Cyber-home learning is effective when connecting with school instruction and also the more various contents on learning styles could be supportive to students. In other words teacher's role and the adaptive learning contents by learning styles are essential for Cyber-home Learning's success.

• Journal of vocational education research
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• v.29 no.3
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• pp.133-156
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• 2010

This study examines corporate support in learning on individual participation in learning and organizational learning. For this purpose, First, what does corporate support in learning affect individual participation in learning? Second, what does corporate support in learning and individual participation influence organizational learning? This study analyzed 1,268 employees at 139 companies. Sample sizes averaged about 9.22 employee per corporate. This paper used statistical method of hierarchical linear model. Above all, the findings show that corporate support in both formal and informal learning has meaningful effect on individual participation in formal learning and relationship. The findings reveal that corporate support in formal learning has influence on capacity, organizational memory, learning competency, adaptation to environment except sharing value. Furthermore, individual participation in learning has positive effect of increased organizational learning in all areas. In particular, it is shown that participation in informal relationship plays an important role to improve individuals' organizational learning ability.

• Journal of the Korean School Mathematics Society
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• v.4 no.2
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• pp.93-102
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• 2001

All men′s achievement and behavior is always based on motivation. It has been reported that learning motivation plays an important role to get the achievement of study to approximately 16 ~ 38%. Therefore, a lot of researchers agree that learning motivation must be required for learning achievement. This study focuses on "How behavior induces learning motivation from learners\ulcorner" I adapted "the Attention, Relevance, Confidence, Satisfaction" which is supported by John. M. Keller in the model of ARCS to the course of teaching-learning in order to improve them systematically. The effectiveness and results of adaptation must be considered to solve the math problems.

• English Language & Literature Teaching
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• v.16 no.1
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• pp.171-188
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• 2009

The purpose of this study was to investigate the role of ongoing feedback from the professor in students' processes of learning and developing writing skills. Specifically, the researcher was concerned with how ongoing feedback affected students' attitudes towards writing because in EFL contexts, motivating students to write is a first step to engage them in a challenging journey of academic writing. 20 freshmen taking a writing course, "Paragraph & Essay Writing", at A university participated in this study and they were asked to complete the questionnaire at the end of the spring semester 2009. The results revealed that receiving ongoing feedback from the professor had a positive influence on affective domain, was helpful to develop learning strategies, and was valuable in learning outcomes. However, they also expressed negative opinions: feeling a burden, focusing on forms, and feeling confused. To reflect their opinions, the following four suggestions were made to create a more effective learning environment: promoting learner autonomy, facilitating individual writing conferences, giving balanced feedback in between form and content, and using judicious feedback through careful streaming.

• Journal of Fisheries and Marine Sciences Education
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• v.13 no.2
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• pp.194-211
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• 2001

This study was conducted to investigate the effects of cooperative learning applying Jigsaw II on learner's self-regulated learning ability, achievements, self-esteem & cooperation. 12 graders were assigned to experimental group(applying Jigsaw II treatment) & control group(applying traditional instructional treatment). Experimental group was trained to ask comprehension & thought-provoking questions on the material when in tutor role & to explain material to group members when acting as tutee. Tutorial sessions followed over 8-week treatment. As a results, Experimental group outperformed control group on ability to construct learner's self-regulated learning ability, achievements, self-esteem & cooperation both during their tutorial interaction & on written measures.