• Title/Summary/Keyword: Micro-Learning

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Proposing Micro-Learning in Saudi Universities

  • Almalki, Mohammad Eidah Messfer
    • International Journal of Computer Science & Network Security
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    • v.22 no.4
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    • pp.13-16
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    • 2022
  • This paper proposes using micro-learning at Saudi universities. It commences with an account of the concept of micro-learning and the difference between micro-learning and electronic learning. Then it touches on the significance, principles, and examples of micro-learning, followed by some micro-learning applications and pitfalls. The paper closes with a proposal for using this learning mode at Saudi universities.

The Effect of Micro-Learning on Learning Satisfaction and Effectiveness of Learning (마이크로 러닝이 대학생의 학습만족도와 학습효과에 미치는 영향)

  • Bae, Jae-Hong;Shin, Ho-Young
    • Journal of the Korea Convergence Society
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    • v.11 no.7
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    • pp.369-376
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    • 2020
  • This study was conducted to verify the effectiveness of learning using micro-running. To this end, the learning materials of the class were produced in three forms: micro-learning, existing e-learning, and handouts, to compare the learning satisfaction and learning effect for college students at Y and K universities located in K-do. First, when using learning materials in the form of micro-learning, learning satisfaction was the highest. Second, the learning effect was effective for both e-learning and micro-learning. And micro-learning was more effective when both types of learning materials were used. The results of this study look forward to activating micro-learning in university by researching micro-learning of the new learning type that emerged as a social phenomenon, highlighting the importance of micro-learning and presenting basic data for subsequent study.

A Study on the Characteristics Satisfaction in Digital Convergence based Micro-Learning (디지털융합 기반 마이크로러닝 특성 만족도 연구)

  • HAN, Tae In
    • Journal of Digital Convergence
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    • v.18 no.6
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    • pp.287-295
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    • 2020
  • This study defined the characteristics of micro-learning emerging by mobile learning and micro-contents in the e-learning field, and analyzed the satisfaction of application, to see if micro-learning could become a new learning type in the future. To this end, the characteristics of micro-learning were defined through preliminary literature analysis, the characteristic satisfaction was verified in the well-equipped micro-learning site, and any other technical functions were suggested through expert opinion gathering. It was suggested that the future technology of e-learning should be linked to technical functions such as learning analysis and performance measurement. According to the results of this study, if micro-learning reflects its functional characteristics well, it will become an effective learning type in the e-learning field and will greatly contribute to education, learning, and training for the new millennial.

An Exploratory Study on the Design Principles of Adaptive Micro-learning Platform (적응형 마이크로러닝 플랫폼 개발원칙에 대한 탐색연구)

  • Jeong, Eun Young;Kang, Inae;Choi, Jung-A
    • The Journal of the Korea Contents Association
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    • v.21 no.12
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    • pp.517-535
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    • 2021
  • The development of digital technology has not only brought many changes to our lives, but also many changes to the online education environment. The emergence of micro-learning is to meet the needs of individual learners who hopes to receive personalized learning content immediately when they need it. Therefore, Micro-learning can be said to be 'adaptive' education. This research attempts to explore the development principles of adaptive micro-learning through literature research and case analysis. The results of the research draw four aspects of the development principles, including adaptive learning environment, adaptive learning content, adaptive learning sequence and adaptive learning evaluation, as well as detailed elements of each aspect. Micro-learning is a new form of e-learning that reflects the needs of the current society. As exploratory research, this research attempts to point out the direction for future follow-up research.

Micro-Learning Concepts and Principles

  • Almalki, Mohammad Eidah Messfer
    • International Journal of Computer Science & Network Security
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    • v.22 no.5
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    • pp.327-329
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    • 2022
  • Education is affected by technical and scientific developments. Progress in one of these areas leads give way to new educational methods and strategies. One of these advanced learning modes is what has been conventionally termed as Micro-learning (ML). It has emerged in educational technology as a result of advances in information technology as well as advances in research in memory, brain, and social-cognitive processes.In this paper, the researcher discusses micro-learning in terms of its concepts, tools, and associated concepts, advantages and disadvantages.

Implementation and Evaluation of Simulation Based Critical Care Nursing Education Used with MicroSim(R) (MicroSim(R)을 병용한 시뮬레이션기반 중환자간호교육의 운영 및 평가)

  • Kim, Yun-Hee;Kim, Yun-Min;Kang, Seo-Young
    • The Journal of Korean Academic Society of Nursing Education
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    • v.16 no.1
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    • pp.24-32
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    • 2010
  • Purpose: This study was conducted to evaluate the results after implementing a simulation based critical care nursing education with $MicroSim^{(R)}$. Method: Simulation based education was used for a clinical scenario on a patient with chronic obstructive pulmonary disease(COPD) and acute coronary syndrome(ACS). Self-learning program was used for an acute asthma attack and acute myocardial infarction(AMI) in the $MicroSim^{(R)}$. A total of 97 nursing students were chosen. A pretest and posttest was conducted to evaluate learning achievement, clinical performance ability and self-directed learning. Result: Learning achievement and clinical performance ability significantly increased but self-directed learning did not. Conclusion: Simulation based education used with $MicroSim^{(R)}$ was useful for improving learning achievement and clinical performance ability of nursing students. Further studies are needed to compare the effects of simulation based education.

Effects on Micro-learning Contents on University Students' Learning Flow and Learning Motivation based on Extracurricular Program (마이크로러닝 콘텐츠 기반 비교과 프로그램이 대학생의 학습몰입, 학습의욕에 미치는 영향)

  • Gwak Chan Mi;Dong Yub Lee
    • The Journal of the Convergence on Culture Technology
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    • v.9 no.6
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    • pp.973-980
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    • 2023
  • This study analyzed the effects of a Micro-learning content-based extracurricular program among university students based on their general characteristics. A survey was conducted on 600 students affiliated with G University, a major national university. Learning immersion and learning motivation were used as the key indicators for measuring the learning effects. Cronbach's α coefficient analysis was performed to validate the reliability of the learning effect measurement tool. Independent sample t-tests were utilized to analyze differences in learning immersion and learning motivation based on gender and major disciplines. One-way analysis of variance (ANOVA) was employed to measure differences in learning immersion and learning motivation according to academic year. According to the research findings, gender and academic year did not significantly influence participation in the Micro-learning content-based program. However, differences in learning immersion and learning motivation were observed depending on the major discipline. Based on this, it is suggested that future programs should provide suitable environments and stimuli based on the students' major disciplines.

Framework of micro level e-Learning quality dimensions

  • Cho, Eun-Soon
    • International Journal of Contents
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    • v.5 no.2
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    • pp.1-5
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    • 2009
  • This study was to analyze important dimensions and its factors of micro level of e-learning determining the quality of e-learning. E-learning dimensions and their factors were identified and developed from the analytical review of related researches. From literature review and survey as well as expert interview, six categories of e-learning identified from this study were: 1) curriculum content, 2) usability, 3) instructional design, 4) evaluation -both process and results, 5) management, and 6) refinement and improvement. A total of thirty-seven factors determining the quality of the e-learning six categories were identified. The rank order and contribution rates for each categories and factors were calculated to explain how importantly they contribute to the quality of e-learning. Also three dimensions such as controlling the e-learning quality, e-learning fundamental dimension e-learning process dimension, and e-learning product dimension, were explained. This study suggests a useful guidance for e-learning quality and evaluation framework for better results.

E-learning System using Learner Created Contents based on Social Network (소셜 네트워크 기반 학습자 생성 콘텐츠를 이용한 이러닝 시스템)

  • Jang, Jae-Kyung;Kim, Ho-Sung
    • The Journal of the Korea Contents Association
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    • v.9 no.6
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    • pp.17-24
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    • 2009
  • This paper proposes a new e-learning model which introduces a participant method based on concepts of open source as well as UCC of web2.0 and achieves learner-centered learning. It is possible for learner to participate actively in creation of micro-contents and reorganize contents using various micro-content with one's learning strategies in consideration of one's own intellectual power, learning objectives and propensity to learn. The learner can achieve the learner-oriented learning through this procedure and select micro-contents in order to reorganize the personalized learning contents to take advantage of social network among learners. The higher effectiveness of learning would be expected by forming connectedness among learners using social network.

Development of Federated Learning based Motion Recognition Algorithm using Distributed FMCW MIMO Radars (연합 학습 기반 분산 FMCW MIMO Radar를 활용한 모션 인식 알고리즘 개발 및 성능 분석)

  • Kang, Jong-Sung;Lee, Seung-Ho;Lee, Jeonghan;Yang, YunJi;Park, Jaehyun
    • IEMEK Journal of Embedded Systems and Applications
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    • v.17 no.3
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    • pp.139-148
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    • 2022
  • In this paper, we implement a distributed FMCW MIMO radar system to obtain Micro Doppler signatures of target motions. In addition, we also develop federated learning based motion recognition algorithm based on the Micro-Doppler radar signature collected by the implemented FMCW MIMO radar system. Through the experiment, we have verified that the proposed federated learning based algorithm can improve the motion recognition accuracy up to 90%.