• Asia pacific journal of information systems
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• 제16권1호
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• pp.1-21
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• 2006

e-Learning can be seen as not only one of Internet-based information technologies which can provide education services but also one of teaching-learning methods which can implement self-directed learning. Thus, for evaluation of e-Learning effectiveness, both information-technology-based learning environment and learners' abilities in self-learning and computer-using should be considered simultaneously. This study suggests a research model for evaluating the effectiveness of e-Learning, which is theoretically based on information systems success model, constructivism and self-efficacy. The model is composed of three parts: effectiveness, learning environment, and learners' self-efficacy. Effectiveness is a part of dependent variables: satisfaction and academic performance. Learning environment and learners' self-efficacy can be considered as two sets of explanation variables for effectiveness. The former consists of learning management system, learning contents, and interactions that are provided bye-Learning and the latter means learners' self-regulated efficacy and computer self-efficacy. We show validity of the model empirically by surveying the college students who have experienced e-Learning. In result, most of all hypotheses suggested in this model are accepted in low significant level.

• 영어어문교육
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• 제17권4호
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• pp.375-393
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• 2011

Many aspects of e-러닝 and m-러닝 have been conducted in language learning settings while few studies have examined learners'psychological attitudes in both Internet-based languages learning environment. Althoughe-Learning and m-Learningin the content of language learningshares many common aspects, the study that particularly examinesEnglish learners' psychological attitudes from both learning environments has not been conducted. Thus, the purpose of this study is to investigate group difference between e-러닝 and m-러닝 in terms of characteristics of both learning environments, including Contextual Offer, Interactivity, Enjoyment, Usefulness, Easiness, Variety, Connectivity, Satisfaction, and Learning Performance. Results showed that even if there was little difference within and among groups in English learners' feelings, learners have different attitude on Enjoyment, Easiness, and Connectivity.

• Asia pacific journal of information systems
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• 제19권4호
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• pp.149-176
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• 2009

In the recent e-learning environment, avatars are often used to help learners get familiar with the contents, which is ultimately to motivate them to study more. Therefore, it is important to investigate whether avatars have actually the desirable effect on users of e-learning materials. Surprisingly, however, no extensive study has been conducted on this crucial issue Accordingly, main objectives this study are summarized as follows. First, we need to gain better understanding of how much learners' trust towards avatars (termed as "avatar trust") is transferred to learners' trust towards e-learning contents (termed as "contents trust"). Second, we need to investigate how much learners' personal relationships with avatars as well as learning behaviors change depending on avatar types (attractive vs. professional) and contents complexity (easy vs. difficult). As described in the study objectives, in order for us to analyze empirical data more systematically, we classified avatar types into two: "attractive" and "professional;" the contents are categorized as either "easy" or "difficult." Therefore, it is essential for this study to build a prototype e-learning website on which our research purpose can be realized and tested effectively with proper avatar types and e-learning contents. For this purpose, we built a prototype e-learning website, in which avatars are invited from currently working avatar instructors used in real-world e-learning websites, and e-learning contents are adapted from real-world contents about Java programming topic, which have been proved to have shown high quality and reliability. Our research method includes questionnaire survey by inviting a number of valid respondents comprised of office workers who are believed to have high demands for the e-learning contents as well as those who have previous experience with avatar instructors. Respondents were given one of the four e-learning experiment conditions (2 avatar types x 2 contents types) on a random basis. Each experimental e-learning condition is framed to have the same quality but different avatar type and content complexity. Then the respondents are asked to fill out the survey form which has questions about avatar trust, contents trust, personal relationships with avatar, and learning behavior, among others. Regarding the constructs used in research model, we based them rigorously on previous studies. For example, we used six constructs such as behavior to give information (BGI), behavior to obtain information (BOI), need for inclusion wanted, need for control wanted, contents trust, and avatar trust. To measure them, 7-Likert scales were used in the questionnaire. E-learning performance was measured indirectly through two constructs such as BGI and BOI. Six constructs used in the research model were adopted and revised from the FIRO-B model suggested by Schutz. Empirical results are as follows: First, professional avatars are more effective for difficult contents, while attractive avatars were not as effective for easy contents. Second, our study results ascertained that avatar trust transfers to contents trust regardless of avatar types and contents complexity.

• 한국산업정보학회논문지
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• 제15권1호
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• pp.85-94
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• 2010

e-Learning으로 대변되는 교육의 변화는 교육환경의 기술적인 측면뿐만 아니라 패러다임 자체를 바꾸어 놓고 있다. e-Learning 환경에서의 사용자는 시스템 사용자뿐만 아니라 학습자의 역할을 동시에 가지고 있기 때문에 이런 복잡한 현상을 설명하기 위해서는 보다 포괄적인 시각이 필요하다고 판단된다. 본 연구에서는 포괄적인 시각을 연구하기에 앞서 학습자의 동기 유발에 초점을 두고 학습 성과를 향상시킬 수 있는 방안을 플로우 이론을 이용하여 제시하고자 한다. 연구 결과 첫째, 플로우의 구성 요소인 내재된 흥미와 주의집중은 종속 변수인 학습 성과에 유의적인 영향을 미치고 있으며, 특히 내재된 흥미가 주의집중보다 더 중요한 요인으로 밝혀졌다. 둘째, 내재된 흥미에 영향을 미치는 요인은 정보 품질과 숙련도로 나타났으며, 셋째, 주의집중에 영향을 미치는 요인은 인지된 사용용이성, 숙련도, 컴퓨터 자기효능감으로 나타났다.

• 한국컴퓨터정보학회논문지
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• 제14권5호
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• pp.201-209
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• 2009

본 연구의 주요 목적은 교육공학 관점과 정보기술 관점의 통합적 연구모형을 통해 이러닝 특성과 이러닝 학업성과 간의 관계를 규명하는 것이다. 이에 본 연구에서는 이러닝 시스템 품질, 이러닝 콘텐츠 특성, 상호작용 등을 독립변수로, 이러닝 학업성과를 종속변수로, 학습동기를 매개변수로 설정, 이들 변수간의 관계를 검증해 보았다. 연구를 위해 212명의 사이버 대학 재학생들이 설문조사에 참여하였다. 연구의 주요 결과를 요약하면 첫째, 이러닝 특성 중 기술적 품질 컨텐츠 품질 학사지원 등이 학업성과에 유의한 영향을 미치는 것으로 나타났고, 둘째, 이러닝 특성과 학업성과간의 관계에 대한 학습동기의 매개효과 분석 결과, 학습 동기는 양자간의 관계에서 부분적인 매개 효과를 가지는 것으로 나타났다. 연구결과에 근거 향후 이러닝 이용자들의 학업성과 향상을 위한 몇 가지 시사점을 제시하면 이러닝 학습자들의 다양한 수준과 목적을 고려한 강좌 및 강의내용이 적절히 제공되고, 학습자와 이러닝 시스템 간 상호작용을 원활히 할 수 있는 기능이 적극 제공된다면 이러닝의 실질적 유효성을 훨씬 더 높일 수 있을 것으로 사려된다.

• 한국정보시스템학회지:정보시스템연구
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• 제14권3호
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• pp.109-116
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• 2005

With the increasing use of the Internet improved Internet technologies as well as web-based applications, the uses of e-Learning have also increased the effectiveness of e-Learning has become one of the most practically and theoretically important issues in both Educational Engineering and Information Systems. This study suggests a research model, based on an e-Learning success model, the relationship of the e-learner's self-regulated learning strategy and the quality perception of the e-Learning environment. This research model focuses on the learning environment and on the learners' self-efficacy. The former consists of LMS, learning contents and interaction that are provided by e-Learning and the latter refers to the learners' self-regulated learning strategy. In this study, academic performance was measured by student's real record. We will show the validity of the model empirically, and most of the hypotheses suggested in this model were accepted.

• 대한간호학회지
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• 제35권6호
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• pp.1113-1124
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• 2005

Purpose: The purpose of this study was to develop an e-Learning program about medication for nurses to enhance nurses' medication performance ability and to analyze learners' responses after studying with this program. Method: For the development of the e-Learning program, the NBISD(Network Based Instructional Systems Design) model, suggested by Jung(I999) was applied as a basic model and the instruction design theory of Gagne & Briggs(1979) and ARCS theory of Keller(I983) were applied. After the operation of this program for one month to 34 new nurses, learners' responses were analyzed. Result: Learners' knowledge of medication was greatly improved after this program. In addition learners' satisfaction with the overall education program, help in field applicability, ease of screen shift and exploration, and tutor activities were high and the contents were regarded suitable for e-Learning. Many things were advantageous such as easy accessibility, easy understandability with pictures and flash animation, practical cases and feedback from a tutor. Provision of a supplementary handout and improvement of a tight time schedule were pointed out as things to be improved. Conclusion: This e-Learning program can be used effectively for medication education for registered nurses, student nurses, and new nurses.

• 서비스연구
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• 제11권2호
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• pp.37-66
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• 2021

본 연구의 목적은 헤어살롱 서비스업에서의 이러닝 성과에 영향을 미치는 요인을 실증적으로 규명하고자 한다. 특히 이러닝 성과에 영향을 미치는 요인을 학습자 특성별로 파악하고, 이러한 영향요인은 이러닝 학습자의 만족도에 영향을 미치고, 나아가 경영성과에까지 영향이 미치는지 밝히는 데 그 목적이 있다. 연구 결과는 아래와 같다. 이러닝 학습 환경과 이러닝 만족의 관계에서의 가설 검증 결과, 이러닝 컨텐츠 품질수준이 높을수록 이러닝 만족도가 높아지고, 이러닝 지원 인프라 품질수준이 높을수록 이러닝 만족도가 높아지는 것으로 나타났다. 학습자 요인의 조절 효과에 대한 가설 검정의 결과를 보면, 학습자 목표의식 수준에 따라 지원 인프라 품질의 이러닝 만족에 대한 영향력이 다르게 나타났다. 하지만 학습자 목표의식 수준에 따라 컨텐츠 품질의 이러닝 만족도에 대한 영향력, 학습태도의 적극성에 따라 컨텐츠 품질의 이러닝 만족도에 대한 영향력 그리고 학습태도의 적극성에 따라 지원 인프라 품질의 이러닝 만족도에 대한 영향력은 조절효과가 없는 것으로 나타났다. 학습 성과 간의 관계에 대한 가설 검정 결과를 살펴보면, 이러닝 만족도가 높을수록 고객지향성이 높아지고, 이러닝 만족도가 높을수록 경영성과 기여도가 높아지며, 고객지향성이 높을수록 경영성과 기여도가 높아지는 것으로 나타났다. 본 연구 시사점은 다음과 같다. 첫째, 실제 경과 경로를 규명하였다. 헤어살롱 서비스업 운영과 관련된 조직의 의사결정자에게 성공적인 교육시스템 도입 및 확장을 위한 실무지침을 제공하였다. 둘째, 이론적 배경에서 도출된 학습환경과 학습자들이 요구하는 학습 환경은 다르다.

• Educational Technology International
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• 제13권1호
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• pp.79-100
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• 2012

The focus of this research is on identifying the problems that learners experience during online problem-based learning (e-PBL) from a cognitive perspective. The study is concentrated on learners' cognitive load level at each stage of e-PBL. The research questions are specifically as follows: What is the level of cognitive load at each stage of e-PBL and what is the relationship between cognitive load and group performance? What cognitive difficulties are experienced by learners in e-PBL and what causes cognitive difficulties? In this study, we found that cognitive load was the highest in stage 1 and there was negative relationship between cognitive load at stage 1 and group performance. In addition, learners experienced difficulties during e-PBL such as the complexity of task, the difficulty in collaboration, and the lack of appropriate references. For further study, we will investigate some strategies regarding adjusting learners' cognitive load in the early stages of e-PBL.

• 4차산업연구
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• 제3권1호
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• pp.13-20
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• 2023

Purpose - By designing a PEF(Personalized Education Feedback) system for real-time prediction of learning achievement and motivation through real-time EEG analysis of learners, this system provides some modules of a personalized adaptive learning system. By applying these modules to e-learning and offline learning, they motivate learners and improve the quality of learning progress and effective learning outcomes can be achieved for immersive self-directed learning Research design, data, and methodology - EEG data were collected simultaneously as the English test was given to the experimenters, and the correlation between the correct answer result and the EEG data was learned with a machine learning algorithm and the predictive model was evaluated.. Result - In model performance evaluation, both artificial neural networks(ANNs) and support vector machines(SVMs) showed high accuracy of more than 91%. Conclusion - This research provides some modules of personalized adaptive learning systems that can more efficiently complete by designing a PEF system for real-time learning achievement prediction and learning motivation through an adaptive learning system based on real-time EEG analysis of learners. The implication of this initial research is to verify hypothetical situations for the development of an adaptive learning system through EEG analysis-based learning achievement prediction.