• Title/Summary/Keyword: Online Learning

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Effects of Scaffolding Types and Individual Metacognition Levels on Learning Achievement in Online Collaborative Argumentation

  • HUANG, Yipin;ZHENG, Xiaoli;KIM, Hoisoo
    • Educational Technology International
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    • v.22 no.2
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    • pp.311-339
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    • 2021
  • This study examined the effects of scaffolding types (Toulmin's Argument Pattern: TAP or Argumentation Vee Diagram: AVD) and individual metacognition levels (low or high) on students' learning achievement in online collaborative argumentation. A total of 191 Chinese undergraduates took part in this study. They were randomly assigned to either the TAP scaffolding, AVD scaffolding, or no scaffolding condition. They were teamed up in small groups of two or three students to argue with their peers using SNS as the online collaborative argumentation environment. The results revealed that students in the TAP and AVD scaffolding conditions did not gain significantly higher retention or transfer scores than students without scaffolding. However, students in the TAP scaffolding condition significantly outperformed those in the AVD scaffolding condition on transfer scores. Individual metacognition did not significantly affect learning achievement in online collaborative argumentation. Additionally, there was no significant interaction effect between scaffolding types and individual metacognition levels on retention or on transfer. The findings have implications for scaffolding design for online collaborative argumentation and also suggest that more attention should be paid to social metacognition rather than to individual metacognition when students work collaboratively.

Predicting Students' Engagement in Online Courses Using Machine Learning

  • Alsirhani, Jawaher;Alsalem, Khalaf
    • International Journal of Computer Science & Network Security
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    • v.22 no.9
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    • pp.159-168
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    • 2022
  • No one denies the importance of online courses, which provide a very important alternative, especially for students who have jobs that prevent them from attending face-to-face in traditional classes; Engagement is one of the most important fundamental variables that indicate the course's success in achieving its objectives. Therefore, the current study aims to build a model using machine learning to predict student engagement in online courses. An online questionnaire was prepared and applied to the students of Jouf University in the Kingdom of Saudi Arabia, and data was obtained from the input variables in the questionnaire, which are: specialization, gender, academic year, skills, emotional aspects, participation, performance, and engagement in the online course as a dependent variable. Multiple regression was used to analyze the data using SPSS. Kegel was used to build the model as a machine learning technique. The results indicated that there is a positive correlation between the four variables (skills, emotional aspects, participation, and performance) and engagement in online courses. The model accuracy was very high 99.99%, This shows the model's ability to predict engagement in the light of the input variables.

Integrating Soft Skills into Online EFL Classrooms Using Problem-Based Learning with Challenge Questions

  • Seo, Ji-Young
    • International Journal of Contents
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    • v.18 no.3
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    • pp.58-65
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    • 2022
  • This study proposed a soft skill integration activity for online EFL classrooms and investigated student responses. Toward this end, this study recruited 54 college students taking an English Presentation and Discussion class in South Korea. Participants were assigned into high and low-proficiency groups based on the Test of English for International Communication. This study employed questionnaire, class video recordings, and interview to obtain responses. Moreover, problem-based learning with challenge questions was applied to develop soft skills in online synchronous classes. Responses were examined in terms of whether a difference existed according to English proficiency. Major findings of this study were as follows. Regardless of proficiency levels, participants reported improvements in their IT and problem-solving skills and exhibited positive attitudes toward live online presentations via Zoom. However, this study observed significant differences in communication and teamwork skills, perceived learning, and confidence. Interviews with students with low English proficiency levels revealed that they were negatively affected by the lack of non-verbal cues, mechanical skills, and socialization time provided by online classes. Based on these results, pedagogical implications and directions for future studies are discussed.

A Study on the Improvement of UI Design for Online Craft Learning Platform (온라인 공예 학습 플랫폼 UI디자인 개선 방향 연구)

  • Jang, Hui-Su;Nam, Won-Suk
    • The Journal of the Korea Contents Association
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    • v.20 no.11
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    • pp.145-156
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    • 2020
  • Recently, as a culture that values work-life balance has become more important in society as a whole, interest in hobbies and leisure activities that will enrich life is increasing. This phenomenon is due to an increase in platforms where people can enjoy and learn hobbies online. Among them, craft-related content is growing rapidly, and as offline education has been brought online, learning immersion has been reduced online. Therefore, in this study, we want to identify current problems in online and offline craft learning and seek ways to improve UI design to solve them. To this end, we conducted a literature survey on the online learning platform, online craft learning platform and UI design, and based on this, conducted case investigation and analysis to derive the third stage of the learning process of the online craft learning platform. Subsequent surveys showed that as a result, the online craft learning platform was able to find improvements in terms of differentiating the content exploration process, visualizing the craft progress stage, ease of working with video tools, and providing smooth feedback, and in addition to the need for a device for active learning. Through the results of this study, we hope to expand the craft content market by making it easier for users to enjoy the contents provided on the online craft learning platform.

Qualitative Analysis of Chinese University Students' Online Learning Experience in Korea During the Covid-19 Pandemic (코로나19 시기 재한 중국인 유학생들의 온라인 수업경험에 대한 질적 분석)

  • Kim, Joo-yeong;Koo, Yesung;Bai, Chunai;Park, Junghwan
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.22 no.3
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    • pp.633-642
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    • 2021
  • This study explores the online learning experiences of Chinese foreign students in Korea by using the CQR process and method. To gather data, researchers conducted online, in-depth interviews with 15 Chinese university students in Korea who were enrolled in the spring and fall semesters in 2020. After compiling the research, the data were segmented into four domains and 13 categories, with 36 subcategories identified from among foreign students' online learning experiences. The results show that Chinese students perceived the convenience of online classes and personalized learning as its strength, but considered lowered motivation and lack of concentration as weaknesses. Also, they experienced an increase in the amount of learning, spending more time studying online, using personal learning strategies, and getting help from friends and the university's online learning system. Moreover, they experienced difficulties related to class notifications, guidance, and interactions with the instructors. Foreign students studying in Korea need their instructor's facilitation in order to understand and participate in online classes, reinforcing a student's self-directed learning ability, and need appropriate guidance and support in terms of the online class environment.

A Critical Analysis of Learning Technologies and Informal Learning in Online Social Networks Using Learning Analytics

  • Audu Kafwa Dodo;Ezekiel Uzor OKike
    • International Journal of Computer Science & Network Security
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    • v.24 no.1
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    • pp.71-84
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    • 2024
  • This paper presents a critical analysis of the current application of big data in higher education and how Learning Analytics (LA), and Educational Data Mining (EDM) are helping to shape learning in higher education institutions that have applied the concepts successfully. An extensive literature review of Learning Analytics, Educational Data Mining, Learning Management Systems, Informal Learning and Online Social Networks are presented to understand their usage and trends in higher education pedagogy taking advantage of 21st century educational technologies and platforms. The roles of and benefits of these technologies in teaching and learning are critically examined. Imperatively, this study provides vital information for education stakeholders on the significance of establishing a teaching and learning agenda that takes advantage of today's educational relevant technologies to promote teaching and learning while also acknowledging the difficulties of 21st-century learning. Aside from the roles and benefits of these technologies, the review highlights major challenges and research needs apparent in the use and application of these technologies. It appears that there is lack of research understanding in the challenges and utilization of data effectively for learning analytics, despite the massive educational data generated by high institutions. Also due to the growing importance of LA, there appears to be a serious lack of academic research that explore the application and impact of LA in high institution, especially in the context of informal online social network learning. In addition, high institution managers seem not to understand the emerging trends of LA which could be useful in the running of higher education. Though LA is viewed as a complex and expensive technology that will culturally change the future of high institution, the question that comes to mind is whether the use of LA in relation to informal learning in online social network is really what is expected? A study to analyze and evaluate the elements that influence high usage of OSN is also needed in the African context. It is high time African Universities paid attention to the application and use of these technologies to create a simplified learning approach occasioned by the use of these technologies.

The Role of Facilitating Conditions and User Habits: A Case of Indonesian Online Learning Platform

  • AMBARWATI, Rita;HARJA, Yuda Dian;THAMRIN, Suyono
    • The Journal of Asian Finance, Economics and Business
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    • v.7 no.10
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    • pp.481-489
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    • 2020
  • The study examines the role of facilitating conditions and user habits in the use of technology in Online Learning Platform (OLP) in Indonesia. The adoption of online learning, persistence, and learning results in online platforms is essential for ensuring that education technology is implemented and gets as much value as possible. People who use technology and systems will embrace new technologies even more. This quantitative study is based on a survey of 254 respondents, who were active users of the technology, and considers the facilitating conditions and user habits variables. Two research hypotheses were tested using the Partial Least Square-Structural Equation Modeling method. Cronbach's Alpha, path coefficient, AVE, R-square, T-test were applied. The results showed that the factors significantly influence the Online Learning Platform technology behavioral intention. This impact is primarily associated with the availability of the resources required to use OLP technology. The availability of these resources includes supporting infrastructures such as widespread Internet access, easy access to mobile devices, and file sizes that affect access speed. The findings of this study suggest that it is necessary to introduce and increase the availability of resources for using OLP technology, and familiarize people with the technology features.

Features of the Discussion Method in the Training of Students in the Context of Distance Learning

  • Irina Gladilina;Svetlana Sergeeva;Lyudmila Pankova;Vladimir Kolesnik;Ekaterina Svishcheva
    • International Journal of Computer Science & Network Security
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    • v.23 no.11
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    • pp.77-82
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    • 2023
  • The article considers online discussion as an interactive learning method in the conditions of distance learning. The essence of discussion and the stages of its organization are described. The main objective of discussion in distance learning is defined as the stimulation of interest in learning and the involvement of various viewpoints in an active discussion of the stated problems. The key role in ensuring the efficiency of a discussion is identified. The article develops a model for organizing asynchronous online discussions on the Moodle platform, highlighting the sequence of stages and their content. An experimental study of the use of the discussion method in the training of students in distance learning conditions is carried out. Based on the results of the methodological experiment, conclusions are drawn about student interest in online discussions. The authors conclude that the interest of students of different specialties in asynchronous online discussions varies, and the greatest interest is demonstrated by linguistics students. Nevertheless, the differences in student interest in online discussions by groups (specialties) are more likely attributable to subjective factors, which do not affect the overall picture in a major way.

Suggestions for E-Learning Based on Four Years of Cyber University Experience

  • LEE, Okhwa
    • Educational Technology International
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    • v.6 no.1
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    • pp.41-63
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    • 2005
  • E-Learning is widely introduced with cyber universities in Korea from 2001 whencyber universities were first authorized by the Ministry of Education and Human Resource Development. E-learning amplified by cyber university gave a big impact in the campus based university which became the cause for the educational paradigm shift. The changes of status of cyber university shows important trend in college education which was analyzed by enrollment rate, types of cyber university, demography, and study areas. The enrollment rate of cyber universities is ever since 2001 and variety of study areas gives popularity to students. The demography of students is as expected older than traditional students. Female students at the cyber university outnumbered that at campus based university in Korea. For analyzing the trend of e-learning in Korea, there were studies twice in 2001 May-June from 213 faculty members and staff, 630 students and in 2004 May-June with 401 students. Most of e-learning students tent to spend less time yet, students feel more burden with e-learning. Professors tend to load more materials for the e-learning in 2001but in 2004 study, the difference no longer exists. Professors and students feel the academic achievement through e-learning is not as good as from the traditional classes. Difficulties for e-learning in 2001 were the lack of administrative information but in 2004, boring contents and lack of instructional strategies for e-learning. Technical problems still do exist but less serious. Suggestions for e-learning are blended learning, online students prefer video streaming with their own lecturer, new definition of instructor is needed, professional development for content development and online instruction is needed, success story of online learning should be encouraged, guidance for online students needed. The cyber university experiencegave a positive impact on the traditional universities such as rethinking the roles of universities, the quality control of classes, professional development, student oriented educational service of e-learning pedagogy.

Online Reinforcement Learning to Search the Shortest Path in Maze Environments (미로 환경에서 최단 경로 탐색을 위한 실시간 강화 학습)

  • Kim, Byeong-Cheon;Kim, Sam-Geun;Yun, Byeong-Ju
    • The KIPS Transactions:PartB
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    • v.9B no.2
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    • pp.155-162
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    • 2002
  • Reinforcement learning is a learning method that uses trial-and-error to perform Learning by interacting with dynamic environments. It is classified into online reinforcement learning and delayed reinforcement learning. In this paper, we propose an online reinforcement learning system (ONRELS : Outline REinforcement Learning System). ONRELS updates the estimate-value about all the selectable (state, action) pairs before making state-transition at the current state. The ONRELS learns by interacting with the compressed environments through trial-and-error after it compresses the state space of the mage environments. Through experiments, we can see that ONRELS can search the shortest path faster than Q-learning using TD-ewor and $Q(\lambda{)}$-learning using $TD(\lambda{)}$ in the maze environments.