• KSII Transactions on Internet and Information Systems (TIIS)
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• v.13 no.5
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• pp.2277-2298
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• 2019

Adaptive learning in e-learning has garnered researchers' interest. In it, learning resources could be recommended automatically to achieve a personalized learning experience. There are various ways to realize it. One of the realistic ways is adaptive learning path recommendation, in which learning resources are provided according to learners' requirements. This paper summarizes existing works and proposes an innovative approach. Firstly, a learner-centred concept map is created using graph theory based on the features of the learners and concepts. Then, the approach generates a linear concept sequence from the concept map using the proposed traversal algorithm. Finally, Learning Objects (LOs), which are the smallest concrete units that make up a learning path, are organized based on the concept sequences. In order to realize this step, we model it as a multi-objective combinatorial optimization problem, and an improved immune algorithm (IIA) is proposed to solve it. In the experimental stage, a series of simulated experiments are conducted on nine datasets with different levels of complexity. The results show that the proposed algorithm increases the computational efficiency and effectiveness. Moreover, an empirical study is carried out to validate the proposed approach from a pedagogical view. Compared with a self-selection based approach and the other evolutionary algorithm based approaches, the proposed approach produces better outcomes in terms of learners' homework, final exam grades and satisfaction.

• International Commerce and Information Review
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• v.9 no.2
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• pp.103-120
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• 2007

The knowledge based economy requires more and more people to learn new knowledge and skills in a timely and effective manner. These needs and new technology such as computer and Internet are fueling a transition in e-learning. According to specialist's opinion, imagination experience studying is generalized, and learning environment that language barrier by studying, multi-language studying Machine that experience past things that disappear through simulation, and travel area, and experience future changed state disappears is forecasting to come. This is previewing finally that it may become future education that education and IT, element of entertainment is combined. Already, became story that argument for party satellite of e-Learning existence passes one season already. e-Learning is utilized already in all educations that we touch by effectiveness by corporation's competitive power improvement and implement of lifelong education in educational institutions through present e-Learning. It is obvious that when see from our viewpoint which is defining e-Learning by one industry and rear by application to education as well as one new growth power about these, e-Learning industry becomes very important means that can solve dilemma of growth real form. Only, special quality of digital industry that e-Learning is being same with other digital industry and repeat putting out a fire rapidly, and is repeating sudden change that these evolution is not gradual growth of accumulation and improvement of technology that is appearing consider need to. In the meantime, we need to observe about evolution of Information Technology. Because there is some scholars who e-Learning's concept foresees to evolve by u-Learning.(although, a person who see that these concept is not more in marketing terminology by some scholars' opinion is). This u-Learning's concept means e-Learning that take advantage of ubiquitous technology as Ubiquitous-Learning's curtailment speech. Ubiquitous, user means Information-Communication surrounding that can connect to network freely regardless of place without feeling network or computer. There is controversy about introduction time regarding these direction, but e-Learning is judged to evolve by u-Learning necessarily. Because keep in step and age that study all contents that learner wants under environment of 3A (any time, any whrer, any device) by individual order thoroughly is foreseen to come in ubiquitous learning environment that approach more festinately.

• Journal of the Korean Chemical Society
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• v.46 no.1
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• pp.76-82
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• 2002

This study investigated the effects of assigning cognitive roles, a method that may promote verbal interaction in knowledge-building processes, in small-group discussion for science concept learning. Two classes (62 students) of 7th-graders respectively received a concept learning instruction through small-group discussion with assigned cognitive roles (CR) asking to explain and contradict one's idea and to synthesize and conciliate group's idea, and a concept learning instruction through small-group discussion with no specific assigned roles (NSR), for 9 class periods. After the instructions, the tests of achievement, conceptions, the perceptions on science learning environments, and the perceptions toward small-group discussion were administered. ANCOVA results revealed that low-achievers in the NSR group performed significantly better than those in the CR group. Similar tendency was also found in the scores of the conceptions test. Two groups did not differ significantly in the perceptions on science learning environments and toward small-group discussion.

• The Journal of Korean Association of Computer Education
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• v.4 no.1
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• pp.11-18
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• 2001

As the usage of computer and internet is growing, ICT-based teaching is required in education. So far almost web-based coursewares are learner-based individual teaching. Current learning theories and learning model in WBI are too focusing on courseware or too general to apply in education directly. In this view, learning model with subject-specific search engine might be a solution. In this thesis, we developed systematic concept learning model, promoting traditional concept learning to suitable model in education field and also, we developed CEhunt(Computer Education Hunter), that is computer education search engine providing the teaching materials and supporting the design of teaching and effective concept learning environment to learners. Also, we verified that this model could have a positive effect in systematic concept forming process of learners for subject concerned.

• International Journal of Contents
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• v.5 no.1
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• pp.51-55
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• 2009

In this paper, we present a structure of personalized e-Learning system to study for a test formalized by uniform multiple-choice using on/off line mixed estimations as is the case of Driver :s License Test in Korea. Using the system a candidate can study toward the license through the Internet (and/or mobile instruments) within the personalized concept based on IRT(item response theory). The system accurately estimates user's ability parameter and dynamically offers optimal evaluation problems and learning contents according to the estimated ability so that the user can take possession of the license in shorter time. In order to establish the personalized e-Learning concepts, we build up 3 databases and 2 agents in this system. Content DB maintains learning contents for studying toward the license as the shape of objects separated by concept-unit. Item-bank DB manages items with their parameters such as difficulties, discriminations, and guessing factors, which are firmly related to the learning contents in Content DB through the concept of object parameters. User profile DB maintains users' status information, item responses, and ability parameters. With these DB formations, Interface agent processes user ID, password, status information, and various queries generated by learners. In addition, it hooks up user's item response with Selection & Feedback agent. On the other hand, Selection & Feedback agent offers problems and content objects according to the corresponding user's ability parameter, and re-estimates the ability parameter to activate dynamic personalized learning situation and so forth.

• Journal of the Korean Institute of Intelligent Systems
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• v.12 no.5
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• pp.397-404
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• 2002

In this paper, it is proposed wavelet neural network using the fuzzy concept with the fuzzy and the multi-resolution analysis(MRA) of wavelet transform. Also, it wishes to improve any nonlinear function learning approximation using this system. Here, the fuzzy concept is used the bell type fuzzy membership function. And the composition of wavelet has a unit size. It is used the backpropagation algorithm for learning of wavelet neural network using the fuzzy concept. It is used the multi-resolution analysis of wavelet transform, the bell type fuzzy membership function and the backpropagation algorithm for learning. This structure is confirmed to be improved approximation performance than the conventional algorithms from one dimension and two dimensions function through simulation.

• The Journal of Korean Institute for Practical Engineering Education
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• v.4 no.2
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• pp.46-52
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• 2012

In this study, middle school students, from 1st to 3rd grade, who already completed section of the 'force and motion' are targets. Based on the survey of the students following conclusions are obtained using by 'before and after' of repetition learning. First, through the pre-test results and measured the degree of concept, repetition learning was found to be effective. Second, through the post-survey after repetition learning science concerning was increased rather than before learning. Improved confidence through the repetition learning effect should contribute learning effect.

• Journal of the Korean Chemical Society
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• v.60 no.6
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• pp.428-435
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• 2016

Effective mastering and learning of basic organic chemical concepts is pivotal to ensure students continue to excel to the higher levels of organic chemistry learning. Concept learning is crucial for first-year organic chemistry students so that they can comprehend and understand a concept better and able to make connection to problems. In the present paper, the authors have implemented the Interactive Anonymous Quiz (IAQ) with "must-have" features in the organic chemistry course as a teaching tool to instill students' interest and enhance conceptual understanding in organic chemistry. The effectiveness of this activity was examined and evaluated through students' reflective writing. Students showed positive learning outcome on the implemented activity as reflected by the reflective writings. In addition, this activity could be employed as an activity to check on students' concept understanding, to instill students' interest in organic chemistry course and to improve on students' weakest topic in organic chemistry in the future classes.

• Journal of the Korean School Mathematics Society
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• v.9 no.3
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• pp.385-403
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• 2006

This paper investigates how Mind map, Concept map, and Vee diagram facilitates learning mathematics. It also analyzes characteristics, structure, how to make a mall, the possible ways of use and its implications in detail for each map and provides how they can be used for learning mathematics. Mind map is one of most effective tools to make man's thinking power stronger and use the given time as the new way of learning mathematics. Concept map provides the various concepts learned by students more visually with a structured format. As a last, Vee diagram began with the question to explore for the given situation as the tool which is effective in doing exploring and making knowledge acquired vivid in students mind.

• Journal of the Korea Society of Computer and Information
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• v.14 no.6
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• pp.99-106
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• 2009

Over recent decades, concept mapping has been used as a valuable Learning and Teaching tool. A number of studies have shown a positive impact on student learning. One of the disadvantages of this technique has been that assessing them or providing feedback to students is time consuming. We aim here to introduce ways of reducing the complexity of using concept map techniques in online activities. Several types of scoring methods for the concept map based assessment have been developed. In this paper, we describe the development of an automatic assessment system that implements those techniques. We contribute a design that uses semantic web technologies for both the management and the scoring of the concept maps.