• Journal of vocational education research
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• v.35 no.6
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• pp.65-84
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• 2016

This study aims to explore the duty system of the lifelong learning counseling, and to analyze the needs of counseling practice which are conceived by lifelong education practitioners. Based on the related prior studies, the duty system of lifelong learning counseling was investigated and classified. Also, differences of how to recognize the importance of counseling job and how to practice counseling are assessed by Borich method. After data were collected by practitioners from lifelong education field, the dependent t-test and the Borich needs assessment formula were used for analysis of the collected data. The results are as follows: the 4 subdivided duties of lifelong learning counseling are formation of relationship, learner's analysis, learning promotion, and follow-up management. The 11 tasks are learner's interview, providing learning information, analysis of learner's characteristics and needs, learning level diagnosis, diagnosis of learning inhibiting factors, promotion of learning motivation, advice of learning course and learning method, support of study circle activity, career planning counseling, follow-up counseling, and counseling evaluation. According to the needs assessment, learner's analysis is conceived as the most important duty among the 4 sub-duties, and learner's analysis is regarded as second important duty by the counseling practitioners. Among the 11 tasks, providing learning information is the most important tasks among counseling practitioners, and analysis of learner's characteristics and needs is followed as second task. The duty system of the lifelong learning counseling and needs assessment data can be used as the basic data for lifelong education practitioners to conduct the duty of lifelong learning counseling efficiently and to support the lifelong learning plan according to learner's characteristics.

• Journal of Digital Convergence
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• v.17 no.11
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• pp.81-89
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• 2019

In order to foster talented people needed for the 4th Industrial Revolution, learner-centered classes that meet the characteristics and needs of students are needed. In particular, the learner-centered student-active class is more meaningful for gifted students who have diverse needs and interests. In order to meet these demands, this study developed a learner-centered science gifted education teaching-learning model based on flipped learning, and analyzed various results revealed after applying the developed program to the gifted class. Based on the results, we proposed a plan for more efficient operation of future learner-centered science gifted education programs.

• Education of Primary School Mathematics
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• v.25 no.1
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• pp.19-41
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• 2022

Online classes have become one of the general teaching and learning method in elementary education, and elementary school teachers are essentially required to design and implement online math classes that reflect the characteristics of online environment and the specificity of the subject. The qualitative improvement of online mathematics lessons can start with examining what difficulties teachers actually have in enacting the online lessons, and this study focused on their educational needs by examining the degree to which elementary school teachers perceive and implement in terms of designing online interactions. The result showed that teacher education on Learner-Content Interaction (LC) and Learner-Learner Interaction (LL) was necessary for elementary school teachers designing online mathematics lessons, and the educational needs of detailed items of interactions were confirmed. Furthermore, it was found that there was a difference in educational needs for the types of online interactions according to the career life cycle of elementary school teachers. The instructional design strategies for online interactions in online mathematics lessons and implications for teacher education necessary for elementary school teachers were derived from the result.

• Journal of Korean language education
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• v.25 no.1
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• pp.53-82
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• 2014

This study aims to find the method to promote interaction in L2 classrooms. Active interaction between learner-to-learner and learner-to-teacher in L2 classroom plays an important role in language acquisition. In light of this, L2 classroom would benefit with the help of learning tools such as Clickers which helps learners to express their level of understanding during the process of learning itself. This is because the anonymity of Clickers allows learners to express their needs without the social risks associated with speaking up in the class. It allows for an evaluative feedback loop where both learners and teachers understand the level of progress of the learners, better enabling classrooms to adapt to the learners' needs. Eventually this tool promotes participation from learners, This is in turn, believed to be effective in fostering classroom interaction, allowing learning to take place in a more comfortable yet vibrant way. This study is finalized by presenting the result of an experiment conducted to verify the effectiveness of this approach when teaching pragmatic aspect of the Korean expressions with similar semantic functions. As a result of the research, the learning achievement of learners in the experimental group was found higher than the learners' in a control group. Analyzing the data collected from a questionnaire given to the learners, the study presented data suggesting that this approach increased the scope of interactivity in the classroom, thus enhancing more active participation among learners. This active participation in turn led to a marked improvement in their communicative abilities.

• 한국HCI학회:학술대회논문집
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• 2006.02a
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• pp.519-525
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• 2006

Advances in information and telecommunication technology increasingly reveal the potential of computer supported education. However, most computer supported learning systems until recently did not pay much attention to different characteristics of individual learners. Intelligent learning environments adaptive to learner's preferences and tasks are desired. Each learner has different preferences and needs, so it is very crucial to provide the different styles of learners with different learning environments that are more preferred and more efficient to them. This paper reports a study of the intelligent learning environment where the learner's preferences are diagnosed using learner models, and then user interfaces are customized in an adaptive manner to accommodate the preferences. In this research, the learning user interfaces were designed based on a learning-style model by Felder & Silverman, so that different learner preferences are revealed through user interactions with the system. Then, a learning style modeling is done from learner behavior patterns using Decision Tree and Neural Network approaches. In this way, an intelligent learning system adaptive to learning styles can be built. Further research efforts are being made to accommodate various other kinds of learner characteristics such as emotion and motivation as well as learning mastery in providing adaptive learning support.

• Korean Institute of Interior Design Journal
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• no.41
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• pp.256-265
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• 2003

This study aims to investigate how to apply the theory of constructivism to CADD education. To maximize educational effect in the educational process, evaluation, media, interactions between instructor and learners, existing CADD education has some limitations and needs new methodology. Constructivism can be said to be a learner-oriented theory in that it emphasizes on the process of understanding in each individual. It can contribute in educational practice to elicit each learner's motivation and to develope their creativity. This paper tried to investigate how to apply constructivism to architectural designing and find the most suitable CAAD education methodology related to design studio.

• Educational Technology International
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• v.10 no.2
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• pp.127-143
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• 2009

The purpose of this study was to identify the interaction patterns in distance only mode e-Learning. In order to investigate this study, messages shown in the electronic notice board were analyzed to see how interaction occurs between teacher and learner or learner and learner under the e-learning of cyber university. To analyze messages was applied according to the framework by Henri's contents analysis model. As a result of contents analysis on electronic board, the participative dimension was 399 messages. A learner put on 7~8 messages a day. The number of messages was low compared to the number of learners, but the number of inquiries was about 140. That means that each learner contacts and checks messages at least once a day. The meaning dimension was 600 units. The main interaction patterns were Interactive-social-cognitive-metacognitive. This means that e-Learning in distance only mode leads a positive attitude of learners as a self-directed learning, and needs teacher's well-structured instructional strategies for increasing interaction. In conclusion, social dimension and interactive dimension of messages support learners psychologically in the process of learning though they directly guide learning under the circumstances of e-learning lacking face-to-face element. It can be interpreted that the teacher's role is significantly important in order to attract learners' positive participation and cognitive and meta-cognitive dimension of messages and activities

• Educational Technology International
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• v.25 no.2
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• pp.231-260
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• 2024

This study suggests that educational recommender systems should be explainable and extend beyond the commercially driven algorithms that primarily rely on user preferences and purchase behaviors. Instead, we propose a recommendation method that considers how and why people learn by employing the relative importance of various learner variables. To develop a recommendation algorithm, 100 adult participants used 4 to 6 foreign language learning mobile applications(apps), generating a dataset of 557 user perception reports. Using this data, we designed and developed a recommender system based on the importance weights of 14 learner variables, categorized into four groups: (a) demographic information, (b) motivational orientation for language learning (instrumental vs. integrative), (c) learning styles, and (d) learning experience. The results based on RandomForestRegressor model revealed that language learning motivation, learning styles (specifically information processing), and usage frequency were significantly more influential than general demographic factors in predicting learners' evaluation of the apps. Furthermore, learners' perception of the recommender system revealed that the recommender system was relevant and engaging, effectively meeting their needs and assisting them in selecting appropriate language learning apps. Overall, this study demonstrates the potential of educational recommender systems that consider learners' motivation, experience, and learning styles.

• Journal of Korean Clinical Health Science
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• v.4 no.4
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• pp.769-781
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• 2016

Purpose. The purpose of this paper was to analyze the educational needs of industry which will hire learner and to develop curriculum to meet the demand. Methods. This study was a descriptive research based on survey results. In each questionnaire, the number of responses and ratios were measured to determine the priorities of the questionnaire items and the education demand was evaluated based on these priorities. Results. The core competency keywords for nurses in industry are knowledge, technology, and communication. In the industry needs for curriculum development, the importance of education to be strengthened for nurse training was found to be core basic nursing skills, nursing process application ability, communication ability, creative nursing problem solving ability, personality and foreign language ability. Conclusion. This study has laid the groundwork for the development of competency based curriculum based on environmental factors and reducing the problems of mis - matching between industry and education.

• Journal of the Korea Society of Computer and Information
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• v.10 no.4 s.36
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• pp.365-373
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• 2005

Ubiquitous learning environment needs various new model of e-learning as web based education system has been proposed. The demand for the customized courseware which is required from the learners is increased. the needs of the efficient and automated education agents in the web-based instruction are recognized. But many education systems that had been studied recently did not service fluently the courses which learners had been wanting and could not provide the way for the learners to study the learning weakness which is observed in the continuous feedback of the course. In this paper we propose a multi-agent system for course scheduling of learner-oriented using weakness analysis algorithm via personalized ubiquitous environment factors. First proposed system analyze learner's result of evaluation and calculates learning accomplishment. From this accomplishment the multi-agent schedules the suitable course for the learner. The learner achieves an active and complete learning from the repeated and suitable course.