• Educational Technology International
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• v.12 no.1
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• pp.67-94
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• 2011

The major concern of e-learning environment design is to create and improve artifacts that support human learning. To facilitate effective and efficient learning, e-learning environment designers focused on the contemporary information technologies. Web 2.0 services, which empower users and allow the inter-transforming interactions between users and information technologies, have been increasingly changing the way that people learn. By adapting these Web 2.0 technologies in learning environment, educational technology can facilitate learners' abilities to personalize learning environment. The main purpose of this study is to conceptualize comprehensively constructs for understanding the inter-transforming relationships between learner and learning environment and mutable learning environments' impact on the process through which learners learn and strive to shape their learning environment. As results, this study confirms conceptualization of four constructs by incorporating aspects of design that occur in e-learning environments with Web 2.0 technologies. First, learner-designer refers to active and intentional designer who is tailoring an e-learning environment in the changing context of use. Second, learner's secondary design refers to learner's design based on the primary designs by design experts. Third, transactional interaction refers to learner's inter-changeable, inter-transformative, co-evolutionary interaction with technological environment. Fourth, trans-active learning environment refers to mutable learning environment enacted by users.

• Asia pacific journal of information systems
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• v.16 no.1
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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.

• Journal of the Korean Operations Research and Management Science Society
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• v.31 no.3
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• pp.127-143
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• 2006

While e-learners' satisfaction would be determined by qualify of e-learning environment including learning management systems, learning contents and interactions, the influence of quality on satisfaction can be changed by e-learners' self-regulated efficacy The objective of this study is to show difference of the relationship between qualify and satisfaction In e-learning by self-regulated efficacy. For this purpose, we propose a research model which consists of five quality factors in e-learning as explaining variables, satisfaction as a result variable and self-regulated efficacy as a control variable. For empirical test of this model, the sample is collected from e-learning classes in a college and divided into two groups by self-regulated efficacy in order to analyze the effects of control variable. By multi-group analysis, we show two groups are different from each other in the relationship between quality and satisfaction of e-learning environment.

• 대한공업교육학회지
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• v.31 no.2
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• pp.332-349
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• 2006

The purpose of this study is to identify the relationship between the University students' learning styles in an e-learning according to the major field and learning styles in an e-learning according to the psychological types. The results of the research are as follows: First, The Major field made no difference to the learning styles in e-learning. E-learning styles of University student are as follows : the environment-dependent and self-directed learning style, positive and cooperative learning style, environment-independent and self-directed learning style. Second, In comparison with the boys and girl's the learning styles in e-learning, there were individual differences. But the environment-dependent and self-taught learning style was the highest learning style in Boys and Girl's but, especially there was more high in Girl's. Third, Amount to use internet made no difference to the learning styles in e-learning. The difference of learning styles in an e-learning environment according to Extraversion-Introversion, Sensing-Intuition, Thinking-Feeling among Psychological Types were statistically meaningless.

• Hwankyungkyoyuk
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• v.19 no.2 s.30
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• pp.108-121
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• 2006

Nowadays environmental education is getting important. So, it is necessary to teach for students to realize the protection environment. Self-direct homepage was developed for 'Ecology & environment' environmental education. This homepage was made for sharing searched data and can be interactive each other on the internet. Therefore, in this study, environmental teaming was planned and practiced for high school 'Ecology & environment' class by e-PBL. Self-directed teaming, collaborative teaming and performance assessment are emphasized in the 7th educational curriculum. The PBL is efficient learning model for them. This study designed for a teaching and teaming method and strategies using PBL based upon the theories and practices. This study will also develop an e-learning. As a result, it is indicated that the teaching and learning method using PBL has the positive effects on learning that the development of self-directed learning and collaboration teaming Is observed by reflect journal and presentation of students. e-PBL is a teaming model for learning-centered that adapted many school and subject. Therefore e-PBL makes full use of be 'Ecology & environment' class and environmental education.

• The Journal of Korean Academic Society of Nursing Education
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• v.19 no.1
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• pp.16-23
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• 2013

Purpose: The purpose of this study was to examine the effects of intrinsic motivation and e-learning strategies on nursing students' learning satisfaction in blended e-learning environment. Method: The survey was performed with 111 undergraduate nursing students who have taken community health nursing in 1 university. The data was collected by questionnaires and were analyzed with the IBM SPSS statistics 20.0, using descriptive statistics, Pearson's correlation coefficient and multiple regression. Results: The mean score for intrinsic motivation was 3.25, for e-learning strategies, 3.56, and for learning satisfaction, 3.69. Significant positive correlation among intrinsic motivation, e-learning strategies, and learning satisfaction. The regression model explained 41.4% of learning satisfaction. Both intrinsic motivation and e-learning strategies were significant predictor of learning satisfaction. Conclusion: In order to improve the learners' learning achievement and learning satisfaction in blended e-learning environment, intrinsic motivation should be strengthen and e-learning strategies should be developed.

• Journal of the Korean Chemical Society
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• v.66 no.6
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• pp.472-492
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• 2022

The purpose of this study was to investigate secondary science teachers' PCK components and subcomponents that are specific to online and offline learning environment. Data collection consisted of survey, class observation, and individual interviews of twelve science teachers. This study used a theoretical framework of PCK for deductive data analysis and articulated codes and themes through the following inductive analysis. Data analysis revealed that each of PCK components showed different specificity to the online and offline learning environment. And subcomponents of each PCK component were different according to the specificity of the online and offline learning environment. Teaching orientation toward science had a specific orientation for the online learning environment, i.e., 'learning science concept' and 'lecture centered instruction.' Knowledge of the science curriculum had online-offline mixed learning environment specific knowledge, i.e., 'reorganization of curriculum' and online learning environment specific knowledge, i.e., 'development of learning goal' and 'science curricular materials.' Knowledge of science teaching strategies had online learning environment specific knowledge, i.e., 'topic-specific strategy', 'subject-specific strategy', and 'interaction strategy' and COVID-19 offline learning environment specific knowledge, i.e., 'topic-specific strategy' and 'interaction strategy'. Knowledge of student science understanding had online learning environment specific knowledge, i.e., 'student preconception', 'student learning difficulty', 'student motivation and interest', and 'student diversity' and COVID-19 offline learning environment specific knowledge, i.e., student learning difficulty'. Knowledge of science assessment had online-offline mixed learning environment specific knowledge and online learning environment specific knowledge, i.e., assessment contents and assessment methods for each.

• 대한공업교육학회지
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• v.37 no.1
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• pp.107-124
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• 2012

The purpose of this study is to provide the basic pedagogical resources for designing the optimum teaching and learning environment in e-Learning through the survey study on learning behavioral styles (LBS) of the gifted students and ordinary students who have experienced e-Learning. And the major results of the study are as follows: The Major field made a very strong difference to the learning behavioral styles between the gifted students and the ordinary students in e-learning environment. On the basis of the study, the LBS sequence of gifted students is the 'passive learning behavioral style', 'environment-dependent and self-directed learning behavioral style', 'positive and cooperative learning behavioral style', 'environment-independent and self-directed learning behavioral style', and the LBS sequence of ordinary students is the 'passive learning behavioral style', 'positive and cooperative learning behavioral style', 'environment-dependent and self-directed learning behavioral style', 'environment-independent and self-directed learning behavioral style'. Simultaneously, there are some individual difference in the learning behavioral style by gender, grade, and the time of using computer between the gifted students and the ordinary students.

• The Journal of Korean Association of Computer Education
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• v.9 no.3
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• pp.121-128
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• 2006

This study suggested the new e-learning systems based on agent to provide an adaptable learning. In Semantic Web environment, to develop an ontology and an intelligent agent is essential for an adaptable e-learning systems. Especially, to develop a reasoning engine using analysis of learning content and learners' information can offer an effective e-learning system. Therefore, we developed an applying model to an adaptable e-learning systems and the various ontologies for Semantic Web environment. Moreover, we analyzed and developed ontologies within the framework of learning domain, a learner and interface. Further, we implemented an intelligent e-learning for applying an agent's reasoning. Through this system proposed, we suggested the new e-learning systems model for Semantic Web environment.

• Journal of Korea Society of Digital Industry and Information Management
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• v.14 no.3
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• pp.103-113
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• 2018

The purpose of this study supports the establishment of national e-learning policy by analyzing e-learning status and current status of higher education. Enhance the competitiveness of higher education through sharing information between universities. And to improve e-learning quality management. We surveyed the current status of e-learning in 341 universities and questionnaires about e-learning content, e-learning application form, e-learning platform status was surveyed through each school's learning management system. As a result, the infrastructure of e-learning, the rate of platforms secured, and the contents are increasing gradually each year; however, still, not all students can receive the services equally. Dedicated servers and learning management systems were secured by more than 70% of general universities. In the current development status of e-learning content, multimedia, animation, and text forms are gradually decreasing, but video contents are increasing every year. Most of the online contents were used in the e-learning contents by application type, and blended learning, flipped learning, and mooc is not yet actively used since they are still in the beginning stage. Learning analysis techniques should be supported in order to easily use online learning contents such as flipped learning and mooc. We suggest that the effectiveness of e-learning should be measured and the current state of learning analysis for customized learning should be done. This study aims to contribute to the improvement of competitiveness of higher education by sharing information about e-learning among universities as a basis for improvement of e-learning policy. Future tasks are to improve the customized learning environment by adding whether the system environment for learning analysis is provided at the time of the survey.