• Journal of Digital Contents Society
• /
• v.18 no.3
• /
• pp.499-508
• /
• 2017

With the recent advance of IT technology and the change of education paradigm, vocational training has been also evolved. In the background of mobilization of learning, increase of bite-size contents, and the agility of just-in-time learning, this study surveyed the online learners' motivation, perceptions, and learning behaviour. Total 4,021 learners from 6 distance learning institutions revealed that learners take the e-learning courses due to more for their self-development than the company's supports and policy. Also, they perceived the subject matter in contents are the most important. The results from this study suggest that the development of contents should focus on the subject matter that can be utilized for their jobs immediately. Lastly, the study confirms that learning space and time has been changed in the flexible way to use their spare time between work and life. Irregularity of learning and hasty preparations were one of major characteristics in the aspect of learning behaviour.

• Journal of Digital Convergence
• /
• v.9 no.6
• /
• pp.197-206
• /
• 2011

This study proposes the "Smart Learning" as a next generation for e-Learning, and focuses on developing policy for smart learning industry. Especially, this study's purpose is proposing a political agenda for smart learning industry as a knowledge-based industry. This study process for the realization of this purpose is belows: first, analyzing status of industry and policy in decades, second, finding problems and solutions, and finally, proposing the core subjects focused on practical value. And this study also focuses on the development of new policy suitable characteristics of the smart learning.

• International Journal of Advanced Culture Technology
• /
• v.11 no.4
• /
• pp.286-294
• /
• 2023

We studied learners' perceptions and learning styles of project research activities in the chemical field conducted by 54 science high school students. In a survey of students' perceptions of task research, positive responses were found in "internal motivation," "cooperation," "task solving," and "tenacity and immersion," and statistically significant differences were found in "self-directedness," "cooperation," and "tenacity and immersion" by year. The 'lower' group responded most positively in the 'cooperation' category, and the 'higher' group responded most positively in the 'task solving' category. As a result of investigating the learning styles of the students who conducted the task research, it was found in the order of assimilator, converger, accommodator, and diverger. The assimilators showed the characteristic of systematically and scientifically approaching the problem. Convergers were found to have excellent problem-solving and decision-making ability, are practical, and have experimental-based thinking characteristics. In this study, the characteristics of science high school students showed well in the results of the learning style performed.

• Journal of The Korean Association of Information Education
• /
• v.13 no.1
• /
• pp.9-22
• /
• 2009

As information technology(IT) has been rapidly developed, e-learning is also growing to meet the need of lifelong education using internet. However, with the growth of e-learning has come the big problem of high dropout rates. The purpose of this present study was to identify the major factors influencing drop-out in corporate e-learning. 250 employees(persistence: n=157, dropout: n=93) who enrolled an e-learning course in S company were participated in this study. A logistic regression analysis was performed to identify predictors of dropout. It was determined that individual background(marriage, amount of study time, difficult to combine work and family), learners' characteristics and value of the course were able to predict dropout with nearly 75 percent accuracy.

• Journal of the Korea Convergence Society
• /
• v.11 no.7
• /
• pp.309-317
• /
• 2020

The purpose of this study was conducted in two stages for university students at K and Y universities in Gyeongsangbuk-do to examine the factors affecting their use intention to use YouTube learning contents due to any of the factors of YouTube learning contents characteristics. Based on the results of the first survey, the measurement items were organized and based on this, second survey was conducted on the use intention of YouTube learning content learners. As a result, it was found that content diversity, content simplicity, content quality, interactivity, and ease of use influenced use intention. Among them, content diversity was found to have the most influence on use intention than others. This study is expected to be used as a basic research data necessary to activate e-learning in the current university and to enhance the learning effect by researching YouTube which is a new learning trend of university students.

• The Journal of the Korea Contents Association
• /
• v.15 no.9
• /
• pp.652-661
• /
• 2015

The purpose of this study is to investigate the effects of EngageGram which is a motivator of e-learning participation on learners' online participation according to the types of social comparison motive. Research participation was 144 undergraduate students (male: 106, female: 38) who took the course entitled "Creative Thinking." Social comparison motive of learners were investigated by two methods: social comparison motive scales and learners' opinions on EngageGram. As results, there was no statically corelation between the types of social comparison motive by using scales and online participation, however, there was statically differences on e-learning participation according to the types of social comparison motives by analyzing learners' opinions. Learners mostly have self-enhancement motive in a learning context so they are motivated to participate actively by EngageGram. This study provide useful implication in the research area of learning analytics.

• Proceedings of the CALSEC Conference
• /
• 2003.09a
• /
• pp.281-286
• /
• 2003

The key aim of this research is to address the relationship between adoption level of e-commerce usage and performance based on Balanced scorecard perspectives. In order to identify the e-commerce adoption characteristics of small businesses, we carried out principal component analysis and cluster analysis by means of a survey with interview. The association of the e-commerce adoption level currently reached by a small businesses with internal process, learning/growth, customer perspectives performance is investigated and discussed.

• The Journal of Korean Association of Computer Education
• /
• v.7 no.4
• /
• pp.77-91
• /
• 2004

The standardization of learner information is needed for exchanging learner information in e-learning system with another educational institution. And also it is needed for providing customized educational service to the learner's characteristics. The purpose of this study is to develop standardization model of learner information that is focused learner's characteristics and performance in higher educational situation. Earlier researches related to the standardization of learner information are analyzed and added some ideas from instructional theory for dealing with meaningful information about learners. The draft standardization model of learner information with 33 of items in 3 areas is proposed. For the validation of this model proposed, we surveyed from 26 of universities that have been experienced e-learning service. It was divided into mandatory and optional items to the result of the survey.

• International conference on construction engineering and project management
• /
• 2013.01a
• /
• pp.359-366
• /
• 2013

Although many research efforts have been conducted to address the effect of crew members' work skills (e.g., technical and planning skills) on work performance (e.g., work duration and quality) in construction projects, the relationship between skill and performance has generated a great deal of controversy in the field of management (Inkpen and Crossan 1995). This controversy can lead to under- or over-estimations of the overall project schedule, and can make it difficult for project managers to implement appropriate managerial policies for enhancing project performance. To address this issue, the following aspects need to be considered: (a) work performances are determined not only by individual-level work skill but also by the group-level work skill affected by work team members, each member's role, and any working behavior pattern; (b) work planning has significant effects on to what extent work skill enhances performance; and (c) different types of activities in construction require different types of work, skill, and team composition. This research, therefore, develops a system dynamics (SD) model to analyze the effects of both individual-and group-level (i.e., multi-level) skill on performances by utilizing the advantages of SD in capturing a feedback process and state changes, especially in human factors (e.g., attitude, ability, and behavior). The model incorporates: (a) a multi-level skill evolution and relevant behavior development mechanism within a work group; (b) the interaction among work planning, a crew's skill-learning, skill manifestation, and performances; and (c) the different work characteristics of each activity. This model can be utilized to implement appropriate work planning (e.g., work scope and work schedule) and crew management policies (e.g., work team composition and decision of each worker's role) with an awareness of crew's skill and work performance. Understanding the different characteristics of each activity can also support project managers in applying strategic work planning and crew management for a corresponding activity, which may enhance each activity's performance, as well as the overall project performance.

• The Journal of the Korea Contents Association
• /
• v.10 no.10
• /
• pp.479-493
• /
• 2010

Along with the transformation of the knowledge-based environment, e-learning has become a main teaching and learning method, prompting various research efforts to be conducted in this field. One major research area in e-learning involves adaptive learning systems that provide personalized learning content according to each learner's characteristics by taking into consideration a variety of learning circumstances. Active research on ontology-based adaptive learning systems has recently been conducted to provide more efficient and adaptive learning content. In this paper, we design and propose an adaptive learning system based on the concept lattice of Formal Concept Analysis (FCA) with the same objectives as those of ontology approaches. However, we are in pursuit of a system that is suitable for learning of specific domains and one that allows users to more freely and easily build their own adaptive learning systems. The proposed system automatically classifies the learning objects and concepts of an evolved domain in the structure of a concept lattice based on the relationships between the objects and concepts. In addition, the system adaptively constructs and presents the learning structure of the concept lattice according to each student's level of knowledge, learning style, learning preference and the learning state of each concept.