- P-ISSN1738-6764
- E-ISSN2093-7504
- KCI
ISSN : 1738-6764
Vol.20 No.2
Abstract
This paper presents a five-stage framework for AI learning based on classroom observations. It defines the stages and explores how teachers and students develop confidence in utilizing various AI tools, acknowledging both their constructive advantages and potential risks. The study emphasizes the transformative influence of integrating AI into the dynamics of learning and teacher-student relationships, fostering a more interactive educational environment. Through case studies conducted in South Korean classrooms, this research offers practical steps and considerations for educators and administrators to successfully integrate AI technologies, with the aim of enhancing digital and AI competencies in education. The findings highlight the significance of adopting a comprehensive approach to AI-integrated instruction, taking into account factors such as educational level, subject, and students' preparedness. This framework is designed to provide guidance for the effective utilization of AI in educational settings, supporting the objective of promoting AI literacy and closing educational gaps.
Abstract
In a situation where social media has established itself as a platform for the spread of fake news, this study raises the need to investigate the role that various news producers actually coexisting on social media play in the process of spreading fake news. This study collected data from YouTube videos NodeXL, useful for analyzing user behavior on social media was utilized -to collect YouTube videos that were highly relevant to rumors of Kim Jong-un's death. This study classified news producers into mainstream media, personal current affairs channels, and personal general channels, and looked into which groups had influence before and after the discovery of fake news. Mainstream media served as a transmitter of fake news, personal general channels and personal current affairs channels unrelated to political issues were found to have participated in spreading rumors of Kim Jong-un's death. Even after the rumor was debunked, private channels still spread rumors of Kim Jong-un's death. Even after it was confirmed that Kim Jong-un was alive, several news producers were found to be actively involved in the production and spread of fake news. This research suggests that misinformation can persist long after it has been discredited in public discourse, highlighting the need for robust fact-checking mechanisms across private channels as well as mainstream media.
Abstract
This descriptive study aimed to compare the effects of online and on-site clinical practicum for nursing students, particularly in a situation where clinical practicum opportunities were limited due to the COVID-19 pandemic. A total of 65 nursing students who had experienced on-site clinical practicum were compared with 65 nursing students who had undergone online clinical practicum. The satisfaction of the students with their practicum was assessed using a 17-item satisfaction tool, while their clinical competence was evaluated using a 23-item Clinical Competency tool. Additionally, professional socialization was measured using a 52-item Professional Socialization Scale. The results of this study suggest that online clinical practicum may have similar effects on clinical competence and professional socialization as on-site clinical practice for undergraduate nursing students. Therefore, online clinical practicum could be a valuable supplement to clinical education, especially in situations where traditional practicum opportunities are limited due to infectious diseases or a lack of available practice institutions. In such cases, it can be considered an effective parallel or alternative to on-site clinical practice.
Abstract
New health technologies are as the state-of-the-art in the modern medicine and health care that can be applied to various systemic diseases. Regardless of its importance, in many cases the patients are not being able to benefit from new health technologies for their systemic diseases. Hence, they are not covered under health insurance generally, and even covered, it is common that long time is taken to be covered. This study looks at different perspective to the number of previous studies on regenerative medicine as an exemplary case and health insurance coverage, which focused on the clinical results that was beneficial to the patients, researchers and society. In this study, the insured benefits and various non-insured benefits under the health insurance system were examined. Even some regenerative medical services are recognized as safety and efficacy to some degree, the problem of being treated as non-insured medical services due to the new health care technology as itself was discussed through the concept of shadow price. In addition, the study discussed that regenerative medicine proven effectiveness for disease treatments should be included in the insurance benefits, in principle. For this, Japanese cases were referred. The case of Japan may not be fully applicable to all other countries or some specific countries. However, it may be a reference for countries with low protection even though taking public medical insurance systems.
Abstract
This study investigates whether current doctoral students who need to write doctoral dissertations are aware of research ethics, antipathy towards research irregularities, and the effectiveness of online research ethics education. Additionally, this study examines the differences in perceptions of online research ethics education and research irregularities based on gender, grade, nationality, and experience in online research ethics education. The E-STAT 2.0 and Korean Social Science Data Center's online survey tool are used for data analysis and collection. Regarding the perceived effectiveness of online research ethics education, recognition of research irregularities, and acceptability of research irregularities, five-point Likert scale questions were used to gather data on gender and grade. The results of the t-test show that female students have a statistically significant positive perception of the effectiveness of online research ethics education compared to male students. Additionally, female students have a statistically significant normative cognition in terms of recognizing and accepting research irregularities compared to male students. The ANOVA test results indicate that first-year students have a significantly lower perception of the effectiveness of online research ethics education compared to students in other grades. However, there is no statistically significant difference in recognizing research irregularities and accepting research irregularities based on grade. There is no statistical difference in the perception of the effectiveness of online research ethics education, recognition of research irregularities, and acceptability of research irregularities between Korean and foreign students. Finally, the experience of online research ethics education has a statistically significant positive effect on the perception of its effectiveness.
Abstract
The purpose of this study was to explore the effectiveness of 4C competencies in the college course based on flipped-PBL using YouTube. For this, this study explored the literature and case study of 4C competency, YouTube, and flipped-problem based learning. Another purpose of this study was to determine the value and strategies of the course of YouTube enhanced flipped-PBL and apply them into a class of Educational Technology and Method for a semester. As a result, it was revealed that the course was effective on learners’ 4C competencies and team members’ participation, goal setting, material collecting, team collaboration, and understanding of team members. However, there were negative responses such as time shortage, decision making difficulty, setting the topic, and deducting solutions to problems. This study suggested alternatives such as reinforcing readiness study, quiz, peer evaluation, using Artificial Intelligence Chat GPT for collecting materials, promoting critical thinking and creative problem-solving skills by conducting discussions among team members, sharing and discussing data, organizing activities, and deducting solution. This study suggests further studies on the need of motivation enforcing strategy and using AI learning device applicable in the course.
Abstract
In this paper, in order to overcome the channel distortion due to doubly selective channel, a new deep learning-based channel estimation scheme is proposed. In the proposed scheme, two neural networks are combined to learn both the temporal and spectral characteristics of the channel. One is the AE (autoencoder) which is trained to track the channel characteristic in the time domain and the other is the LSTM (long short term memory) which is trained to track the channel characteristic in the frequency domain. Firstly, the AE is trained and then the LSTM is sequentially trained based on the AE output. After that, the trained neural network is used to the conventional DPA (data pilot aided) process to estimate the channel values in frequency domain. It is noted that the proposed LSTM network consists of fixed number of LSTM units, so it enables to track the temporal variation of the channel reliably, regardless of the position of the OFDM (orthogonal frequency division multiplexing) symbol in a frame. Therefore, the proposed scheme can enhance the PER (packet error rate) performance more by reducing the error propagation due to the DPA process. Through numerical results, it is confirmed that the proposed scheme shows the best PER performance of the conventional schemes in doubly selective channel environment.