• Journal of Digital Convergence
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• v.12 no.2
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• pp.467-473
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• 2014

Adaptive learning system means a system that provides adaptively learning materials according to the learning needs of learners. It consists of expert model, instructional model and student model. Expert model is that stores information which is to be taught. Student model stores the data of learning history and learning information of students. Instructional model provides necessary learning materials for actual leaners. This paper has constructed student model through learner's profile information and instructional model through dynamic scenario construction. After that, We have developed adaptively to provide learning to learners by constructing suitable dynamic scenario based on learners profile information. In the end, satisfaction result about this system showed a high degree of satisfaction and 88%.

• Journal of Digital Convergence
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• v.17 no.3
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• pp.55-61
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• 2019

Multimedia materials were developed to creative children's songs to elementary schoolers so as to improve favorable personality. To this end, we selected elementary school students to select appropriate songs for the cultivation of humanity, and produced multimedia including various image materials such as animation, documentary, chorus, dance performances, and interviews. Above all, we have created a teaching - learning process and presented the program so that teachers can easily guide students to agitation. As a result, the change of personality of elementary school students was positively shown through sway broadcasting, and I tried to give practical examples of practical application for cultivation of creativity and personality that should be emphasized at elementary school.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.19-29
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• 2020

The study aims to examine the effectiveness of flipped learning teaching methods by using learning analytics to enable effective programming learning for non-major students. After designing a flipped learning programming class model applied with the ADDIE model, learning-related data of the lecture support system operated by the school was processed with crawling. By providing data processed with crawling through a dashboard so that the instructor can understand it easily, the instructor can design classes more efficiently and provide individually tailored learning based on this. As a result of analysis based on the learning-related data collected through one semester class, it was found that the department, academic year, attendance, assignment submission, and preliminary/review attendance had an effect on academic achievement. As a result of survey analysis, they responded that the individualized feedback of instructors through learning analysis was very helpful in self-directed learning. It is expected that it will serve as an opportunity for instructors to provide a foundation for enhancing teaching activities. In the future, the contents of social network services related to learners' learning will be processed with crawling to analyze learners' learning situations.

• Journal of The Korean Association of Information Education
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• v.19 no.2
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• pp.175-186
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• 2015

In this study, we developed the PATROL teaching and learning model by using digital textbooks in Smart Classrooms to correct the disadvantages of Flipped Classrooms. PATROL is an acronym for Planning, Action, Tracking, Recommending, Ordering, and Leading. In the Planning phase, teachers should make a lesson plan. Next, students take Action by watching online contents and completing assignments in their digital textbook. After that, Tracking is needed to analyze the students' activities and the results. Then, Recommending is used to provide suggested instructional activities to teachers based on that analysis. Next, Ordering requires that students request new materials for class activities. Finally, Leading allows teachers to provide materials at the appropriate level to their students based on the students' learning activities. Applying the PATROL model at two elementary schools resulted in an increase in student-directed speech as well as an increase in the number of group and individual activities. Teachers also had more time to walk around the classroom.

• Journal of Korean Home Economics Education Association
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• v.35 no.2
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• pp.21-40
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• 2023

The aim of this study was to develop a comprehensive home economics teaching-learning plan, following the stages of analysis, design, development, and evaluation. The focus was on the 2015 revised home economics curriculum, specifically the 'prevention of sexual violence,' to enhance students' digital literacy competencies. In the analysis stage, the necessity of developing digital literacy competencies was confirmed by analyzing the 2022 revised national curriculum. Extracting elements from the 2015 revised home economics curriculum and textbooks, a digital tool utilization plan was designed in the subsequent design stage, aligning with learning goals, content composition, and digital literacy competency for each class. The development stage involved creating teaching-learning materials and digital tools for six sessions, centered around the topic of 'prevention of sexual violence.' In the evaluation stage, six content experts assessed the teaching-learning plans using a 5-point Likert scale and open-ended questions. The validity evaluation confirmed the effectiveness of the teaching-learning plans in improving middle school students' digital literacy competencies. Based on feedback from the experts, the plans for the six sessions were revised, with an additional session added, resulting in a total of seven sessions. It is envisioned that the home economics teaching and learning plans developed in this study can be implemented in home economics classes to foster students' digital literacy capabilities.

• Education of Primary School Mathematics
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• v.26 no.4
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• pp.333-348
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• 2023

Clear analysis and diagnosis of various characteristic factors of individual students is the most important in order to realize individual customized teaching and learning, which is considered the most essential function of math artificial intelligence-based digital textbooks. In this study, analysis factors and tools for individual customized learning diagnosis and construction models for data collection and analysis were derived from mathematical AI digital textbooks. To this end, according to the Ministry of Education's recent plan to apply AI digital textbooks, the demand for AI digital textbooks in mathematics, personalized learning and prior research on data for it, and factors for learner analysis in mathematics digital platforms were reviewed. As a result of the study, the researcher summarized the factors for learning analysis as factors for learning readiness, process and performance, achievement, weakness, and propensity analysis as factors for learning duration, problem solving time, concentration, math learning habits, and emotional analysis as factors for confidence, interest, anxiety, learning motivation, value perception, and attitude analysis as factors for learning analysis. In addition, the researcher proposed noon data on the problem, learning progress rate, screen recording data on student activities, event data, eye tracking device, and self-response questionnaires as data collection tools for these factors. Finally, a data collection model was proposed that time-series these factors before, during, and after learning.

• Journal of Digital Convergence
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• v.18 no.7
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• pp.307-315
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• 2020

This study was conducted to test the effects of core note-based pre-learning on self-determination learning motivation, self-directed learning, and campus life adaptation for undergraduate nursing students. This study used a one group pre-post test design. The participants were 60 nursing students Universities located in C city. Data were collected on two separate occasions before and after the application of the program from August 2018 to November 2018. For data analysis, SPSS/WIN 23.0 program was utilized including pearson correlation coefficients & Paired t-test. This study showed a meaningful positive for self-determination(t=-.52, p<.001), self-directed learning(t=-.2.11, p=.039) and campus life adaptation(t=-2.90, p=.005). The findings suggest the necessity to develop core note-based pre-learning program of various major curriculum of nursing and various instructional strategies for vitalizing Pre-Learning Program.

• Knowledge Management Research
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• v.23 no.3
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• pp.173-192
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• 2022

This study discusses whether digital literacy of Chinese white-collar workers influences informal learning and investigates the moderating effect of incentives on the relationship between digital literacy and informal learning. The aim of the research is twofold. First, it attempts to determine whether digital literacy of white-collar employees has a positive correlation with informal learning. The study further examines whether incentives from companies-material and non-material-have a moderating effect on the relationship between digital literacy of white-collar employees and informal learning. The ability to handle ICT devices and to utilize information both indicate positive correlations with knowledge acquisition through job performance, cultivation of self-development ability, and learning. Signficantly, the material and non-material incentives had a moderating effect only on the relationship between the ability to utilize information and knowledge acquisition through job performance, which was not revealed in other relationships. Overall, the findings may have practical implications of analysis to hire and train workers in Chinese companies and to design compensation schemes for corporate incentives.

• 한국정보교육학회:학술대회논문집
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• 2004.08a
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• pp.696-704
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• 2004

제7차 교육과정의 시행과 더불어 정부와 민간에서 모든 교과의 교수 학습에서 ICT를 활용할 수 있는 디지털 컨텐트를 다양하게 만들어 서비스하고 있으나 일관된 계획이나 표준안이 없이 필요에 따라 자료를 분류하여 만들어지다 보니 단위 수업 시간에 직접 투입하기에는 알맞은 자료를 검색하여 재가공을 하여 활용하거나 여과 없이 사용하게 되는 문제점이 제기되고 있다. 따라서, 본 연구에서는 단위 수업 중 자료투입시기를 분석하여 초등학교 교육환경에 필요한 메타데이터 요소를 탐색하고 메타데이터 요소를 추출하여 국제적인 메타데이터 표준인 DC Core Education 의 메타데이터 표준안을 기반으로 하는 멀티미디어 교육자료 검색 및 활용을 위한 베타데이터 요소를 추가 하였다. 초등교육 현장에서 생성되는 다양한 멀티미디어 교육 자료와 원상에 존재한 양질의 교육 정보 자원들을 일반적인 수업 흐름인 도입, 전개, 정리의 메타데이터 요소를 추가하여 통합검색과 체계적인 인터페이스를 제할 수 있는 기반을 마련함으로써 초등학교 교사가 쉽고 편리하게 단위 수업에 유용한 것을 찾아내고 수업에 투입할 수 있을 것이며 향후 교수학습 자료를 수업에 직접 필요한 형태로 분류하여 제공하여 효율적인 교수 학습 자료를 공유하게 함으로써 ICT활용 수업에 실제적인 도움을 줄 수 있을 것으로 기대된다.

• Journal of Digital Convergence
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• v.16 no.4
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• pp.289-297
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• 2018

The purpose of this study was to examine the correlations of learning attitude, class participation, and learning satisfaction, and to identify the influencing factors on learning satisfaction of nursing students in fundamental nursing curriculum. Data were collected from 173 nursing students from September 1 to 8, 2017. Data were analyzed using Pearson's correlation coefficients and stepwise multiple regression. Learning attitude, class participation, and learning satisfaction according to the general characteristics commonly showed significant differences in satisfaction with major, satisfaction with school, friendship, last semester grade, and interest in fundamental nursing. Learning satisfaction showed significant positive correlations with learning attitude and class participation. Satisfaction with major, interest in fundamental nursing, and class participation, which accounted for 36% of the variance, were significant predictors influencing learning satisfaction in nursing students. It is necessary to increase majors' satisfaction, fundamental nursing interest, and class participation in order to improve learning satisfaction of nursing students.