• Journal of Korea Society of Digital Industry and Information Management
• /
• v.19 no.2
• /
• pp.79-87
• /
• 2023

On-line learning has been adopted as a major educational method due to the COVID-19 pandemic. Students and faculties got accustomed to on-line educational environment as they experienced it during the COVID-19 pandemic. Development of various technologies and social requirement for educational renovation lay groundwork for on-line learning as well. Therefore, on-line learning or blended learning will be likely to go on after the end of COVID-19 pandemic and it is necessary to prepare the guidelines for effective utilizing on-line learning. The primary purpose of this study is to examine the learning behaviors and the learning effects by using LMS data. Learning behaviors were measured in terms of learning time and access frequency for pre-recorded video lectures targeting computer-practice classes. The results of empirical analysis reveal that frequency was the significant predictor of course achievements but learning time was not. The findings of empirical analysis will provide insights that the effective planning and designing on-line classes based on learning behaviors are key to enhancing learning effects and learner's satisfaction.

• Educational Technology International
• /
• v.16 no.1
• /
• pp.1-30
• /
• 2015

The purpose of this research is to propose a novel social LMS developed for group collaborative learning with a think-aloud tool integrated for sharing cognitive processes in order to improve group collaborative learning performance. In this developmental research, the system was designed with three critical elements: the think-aloud element supports learners through shared cognition, the social network element improves the quality of collaborative learning by forming a structured social environment, and the learning management element provides a understructure for collaborative learning for student groups. Moreover, the three critical elements were combined in an educational context and applied in three directions.

• Journal of the Korean BIBLIA Society for library and Information Science
• /
• v.16 no.1
• /
• pp.5-26
• /
• 2005

Sookmyung Women's University Library developed a Cyber Learning Program for Information Literacy Education in the Fall semester of 2004. The program was enforced as a pass/fail prerequisite of the "Reading & Writing", a compulsory course for the first-year students. The paper describes why and how the university reached to the decision to initiate such a program. It identifies the factors which contributed to the early success of the program by analyzing the contents development process and the actual course management process. Suggestions for further developments is made by analyzing the technical and procedural difficulties faced using the Learning Management System(LMS).

• Proceedings of the Korea Information Processing Society Conference
• /
• 2005.05a
• /
• pp.1001-1004
• /
• 2005

인터넷을 통한 정보화의 영향으로 교육 방법에도 큰 변화를 가져왔다. 교수자와 학습자간 오프라인으로 이루어졌던 교육이 온라인상에서 이루어지게 되었고, 양질의 원격 교육을 실천하려는 노력 과정에서 LMS(Learning Management System)는 많은 발전을 하게 되었다[3]. 하지만 잘 개발된 LMS 라 할 지라도 온라인 교육에서는 오프라인 교육과 같이 교수자와 학습자의 직접적인 커뮤니케이션을 통한 상호 의견 수렴이 어렵다[4]. 따라서 본 논문에서는 LMS 기능에 확장성과 이식성을 갖는 설문 시스템을 추가 함으로써 교수자와 학습자간의 원활한 커뮤니케이션을 지원하고자 한다. 또한 강의 점검, 교수전략 수립, 연구, 정책수립 및 사업추진을 위한 각종 조사에 활용하고자 한다. 본 논문의 설문 조사 시스템은 오픈 소스로 전국 대학 및 교육기관을 대상으로 무상 배포 중이며 그 활용을 검증 중이다[5].

• Convergence Security Journal
• /
• v.5 no.4
• /
• pp.33-40
• /
• 2005

As e-learning studying is activated, learner's requirement increased. Therefore, need correct e-learning model augmented requirement of learner and new ubiquitous surrounding. In this treatise when, proposed to supplement studying contents relationship conversion service and cooperation studying service function to LMS that analyze existing e-learning model's limitation for ubiquitous environment e-learning model that can study regardless of, ubiquitously some contents and do based on SCORM ubiquitous-network and next generation sensor technology etc. Learning form conversion service senses a learner's surrounding situations and recognize his/her body condition using smart sensor technology and provides the learner with contents in the optimal form. Using sensing projects like Orestia and SOB, users can more effective collaborative learning service.

• Proceedings of the Korea Contents Association Conference
• /
• 2009.05a
• /
• pp.45-50
• /
• 2009

The educational exchange through e-learning is working very well in such case as develop e-learning, development of various learning tools, cooperative practical use of e-learning contents, etc. However because there were no considerations of LMS(Learning Management System) interconnection when each systems were developed, the exchange through e-learning is starting to raise a problem. Especially the exchange through e-learning between university produced problem for a variety of reasons by absence of direct exchange in every case such as communication of students information, communication of lecture information, etc. Hence in this thesis, I will present designed model about efficient LMS interconnection through analysis case of exchange through e-learning and deduce problem. In the first place I define essential part for study such as lecture establishment data, lecture data, user data, class data, student learning tracking to interconnection data, then constituted data interconnection table used view by data interconnection prcess. By experiment result, the accessibility between students and professors was more convenience, and decreased work process by less data exchange. Henceforth there are researches in development of various essential parts for study, considered security of LMS interconnection.

• Proceedings of the Korean Society of Computer Information Conference
• /
• 2022.01a
• /
• pp.223-225
• /
• 2022

미래 변화에 대응하는 역량으로 디지털 리터러시가 제시되고 있다. 국내에서는 2022 교육과정 개정의 중점 사항으로 미래 변화에 대응하는 역량으로 디지털 기초 소양을 강화한다. 한편 코로나19로 원격수업이 확대되면서 LMS(Learning Management System)의 사용이 증가하였다. LMS는 디지털 기기, 소프트웨어를 활용하므로 디지털 리터러시를 함양할 수 있는 기회가 될 것이다. 본 연구에서는 학교 현장에서 활용되는 Microsoft의 Teams, Google의 Classroom, KERIS의 위두랑과 e학습터를 비교하고 디지털 리터러시 내용 요소와 LMS 기능을 관련지어 활용방안을 제시하였다. 본 연구를 통해 LMS를 활용하면서 디지털 리터러시를 기를 수 있을 것으로 기대된다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.17 no.1
• /
• pp.1-15
• /
• 2023

The aim of this study is to identify intelligent learning support functions in Learning Management System (LMS) to support university student learning activities during the transition from face-to-face classes to online learning. To accomplish this, we investigated the perceptions of students on the levels of importance and urgency toward learning support functions of LMS powered with Artificial Intelligent (AI) technology and analyzed the differences in perception according to student characteristics. As a result of this study, the function that students considered to be the most important and felt an urgent need to adopt was to give automated grading and feedback for their writing assignments. The functions with the next highest score in importance and urgency were related to receiving customized feedback and help on task performance processed as well as results in the learning progress. In addition, students view a function to receive customized feedback according to their own learning plan and progress and to receive suggestions for improvement by diagnosing their strengths and weaknesses to be both vitally important and urgently needed. On the other hand, the learning support function of LMS, which was ranked as low importance and urgency, was a function that analyzed the interaction between professors and students and between fellow students. It is expected that the results of this student needs analysis will be helpful in deriving the contents of learning support functions that should be developed as well as providing basic information for prioritizing when applying AI technology to implement learner-centered LMS in the future.

• KIPS Transactions on Software and Data Engineering
• /
• v.1 no.2
• /
• pp.81-90
• /
• 2012

Open Source Softwares(OSS) are increasingly deployed in several domains, many educational organization have tried to deploy the OSS LMS(Learning Management System). For deploying OSS LMS, customization for specific environment is critical requirement. In this paper, we implemented the supporting environment to integrate the Moodle and school information system for user and course management. It is the most important customization requirement for introducing the Moodle to school. Also, we implemented supporting environment for the most important requirement so that we verified the usability of our guideline. We applied our environment to verify the efficiency of customization process.

• Educational Technology International
• /
• v.15 no.2
• /
• pp.71-88
• /
• 2014

A variety of studies to predict students' performance have been conducted since educational data such as web-log files traced from Learning Management System (LMS) are increasingly used to analyze students' learning behaviors. However, it is still challenging to predict students' learning achievement in blended learning environment where online and offline learning are combined. In higher education, diverse cases of blended learning can be formed from simple use of LMS for administrative purposes to full usages of functions in LMS for online distance learning class. As a result, a generalized model to predict students' academic success does not fulfill diverse cases of blended learning. This study compares two blended learning classes with each prediction model. The first blended class which involves online discussion-based learning revealed a linear regression model, which explained 70% of the variance in total score through six variables including total log-in time, log-in frequencies, log-in regularities, visits on boards, visits on repositories, and the number of postings. However, the second case, a lecture-based class providing regular basis online lecture notes in Moodle show weaker results from the same linear regression model mainly due to non-linearity of variables. To investigate the non-linear relations between online activities and total score, RF (Random Forest) was utilized. The results indicate that there are different set of important variables for the two distinctive types of blended learning cases. Results suggest that the prediction models and data-mining technique should be based on the considerations of diverse pedagogical characteristics of blended learning classes.