• 인터넷정보학회논문지
• /
• 제24권4호
• /
• pp.37-45
• /
• 2023

Adaptive has gained significant attention in Education Technology (EdTech), with personalized learning experiences becoming increasingly important. Next-generation chatbots, including models like ChatGPT, are emerging in the field of education. These advanced tools show great potential for delivering personalized and adaptive learning experiences. This paper reviews previous research on adaptive learning and the role of chatbots in education. Based on this, the paper explores current and future chatbot technologies to propose a framework for using ChatGPT or similar chatbots in adaptive learning. The framework includes personalized design, targeted resources and feedback, multi-turn dialogue models, reinforcement learning, and fine-tuning. The proposed framework also considers learning attributes such as age, gender, cognitive ability, prior knowledge, pacing, level of questions, interaction strategies, and learner control. However, the proposed framework has yet to be evaluated for its usability or effectiveness in practice, and the applicability of the framework may vary depending on the specific field of study. Through proposing this framework, we hope to encourage learners to more actively leverage current technologies, and likewise, inspire educators to integrate these technologies more proactively into their curricula. Future research should evaluate the proposed framework through actual implementation and explore how it can be adapted to different domains of study to provide a more comprehensive understanding of its potential applications in adaptive learning.

• 한국환경교육학회지:환경교육
• /
• 제14권1호
• /
• pp.127-144
• /
• 2001

This paper presents an analysis of the Teaching and Learning for a Sustainable Future (TLSF) program, an innovative teacher education and regular professional development by the United Nations Educational, Scientific and Cultural Organization (UNESCO) employing the curriculum analysis framework created by Posner. Using this framework the analyst found that the TLSF design is based on good research in regard to learning, teaching, and assessment now driving efforts to reform environmental teacher education. Ongoing development of the TLSF program in the research setting of an international level permits ever deeper connection with emerging curriculum theory and curriculum practice and allows new linkage as ideas are tested in research classrooms.

• 한국정보시스템학회지:정보시스템연구
• /
• 제2권
• /
• pp.194-206
• /
• 1993

Intelligent remote learning system is a system that incorporate communication technology and others : a database engine, an intelligent tutorial system. Learners can study by themselves through the intelligent tutorial system. The existence of a communication, database and artificial intelligence enhance the capability of IRLS. According to Parsaye, an intelligent databases should have the following features : 1) Knowledge discovery. 2) Data integrity and quality control. 3) Hypermedia management. 4) Data presentation and display. 5) Decision support and scenario analysis. 6) Data format management. 7) Intelligent system design tools. I hope that this research of framework for IRLS paves for the future research. As mentioned in the above, the future work will include an intelligent database, self-learning mechanism using neural network.

• Educational Technology International
• /
• 제18권1호
• /
• pp.1-25
• /
• 2017

Educational applications of big data analysis have been of interest in order to improve learning effectiveness and efficiency. As a basic challenge for educational applications, the purpose of this study is to develop a comprehensive data set scheme for learning analytics in the context of digital textbook usage within the K-12 school environments of Korea. On the basis of the literature review, the Start-up Mega Planning model of needs assessment methodology was used as this study sought to come up with negotiated solutions for different stakeholders for a national level of learning metrics framework. The Ministry of Education (MOE), Seoul Metropolitan Office of Education (SMOE), and Korean Education and Research Information Service (KERIS) were involved in the discussion of the learning metrics framework scope. Finally, we suggest a proposal for the national learning metrics framework to reflect such considerations as dynamic education context and feasibility of the metrics into the K-12 Korean schools. The possibilities and limitations of the suggested framework for learning metrics are discussed and future areas of study are suggested.

• Journal of Contemporary Eastern Asia
• /
• 제16권1호
• /
• pp.69-81
• /
• 2017

This study examines how South Korean governments responded to the outbreak of Middle East Respiratory Syndrome Coronavirus (MERS) using the adaptive governance framework. As of November 24, 2015, the MERS outbreak in South Korea resulted in the quarantine of about 17,000 people, 186 cases confirmed, and a death of 38. Although the national government had overall responsibility for MERS response, there is no clear understanding of how the ministries, agencies, and subnational governments take an adaptive response to the public health crisis. The paper uses the adaptive governance framework to understand how South Korean governments respond to the unexpected event regarding the following aspects: responsiveness, public learning, scientific learning, and representativeness of the decision mechanisms. The framework helps understand how joint efforts of the national and subnational governments were coordinated to the unexpected conditions. The study highlights the importance of adaptive governance for an effective response to a public-health related extreme event.

• East Asian mathematical journal
• /
• 제36권4호
• /
• pp.493-513
• /
• 2020

The reason for this study is that the learning content of geometric construction in school mathematics is very insufficient. Geometric construction not only enables in-depth understanding of shapes, but also improves deductive proof skills. In school mathematics education, geometric construction is a very important learning factor, and educational significance is very high in that it can develop reasoning skills essential to the future society. Nevertheless, the reduction of geometric construction learning content in Korean curriculum and mathematics textbooks is against the times. Therefore, the purpose of this study is to analyze the transition of geometric construction learning contents in middle school mathematics curriculum and mathematics textbooks. In order to achieve the purpose of this study, the following studies were conducted. First, we analyze the characteristics of geometric construction according to changes in curriculum and textbooks. Second, we develop a framework for analyzing geometric construction tasks. Third, we explore geometric construction tasks according to the developed framework. Through this, it is expected to provide significant implications for the geometric areas of the new middle school curriculum that will be developed in the future.

• 디지털산업정보학회논문지
• /
• 제13권4호
• /
• pp.125-139
• /
• 2017

In this paper, we developed a framework to detect and predict insider information leakage by collecting and restoring network traffic. For automated behavior analysis, many meta information and behavior information obtained using network traffic collection are used as machine learning features. By these features, we created and learned behavior model, network model and protocol-specific models. In addition, the ensemble model was developed by digitizing and summing the results of various models. We developed a function to present information leakage candidates and view meta information and behavior information from various perspectives using the visual analysis. This supports to rule-based threat detection and machine learning based threat detection. In the future, we plan to make an ensemble model that applies a regression model to the results of the models, and plan to develop a model with deep learning technology.

• 한국수학교육학회지시리즈D:수학교육연구
• /
• 제22권2호
• /
• pp.135-152
• /
• 2019

This conceptual paper proposes a conceptualization regarding teacher candidates' experiences as learners during instructional activities implemented by teacher educators in practice-based teacher education programs. We argue that the current learning cycle framework for teacher candidates to engage in core teaching practices does not fully address teacher candidates' own learning experiences as learners. To provide a rationale for our proposal, we examine the current conceptualization of learning to enact core practices and suggest the need for integrating teacher candidates' experiences into the current conceptualization. We also draw on research on figured worlds as an effort to conceptualize teacher candidates' experiences coming from multiple figured world. We present some examples from our own mathematics methods courses to illustrate how this newly proposed framework can be used in practice and share remaining questions for future research.

• Educational Technology International
• /
• 제9권2호
• /
• pp.97-121
• /
• 2008

The purposes of the present study are to describe the design of mobile learning scenarios based on learning sciences theories, and to discuss implications for the future research in this area. To move beyond mere speculations about the abundant possibilities of mobile learning and to make real impact in K-12 school settings, it is critical to conduct school-based research grounded on the learning sciences theories. Towards this end, this paper describes school-based mobile learning projects conducted by a research team at the Learning Sciences Lab in Singapore, and then discusses the possibilities and challenges of mobile learning to further inform future research. Specifically, this paper explores the affordances of mobile technology, such as portability, connectivity and context-sensitivity, to design seamless learning scenarios that bridge formal and informal learning experiences. The authors present a framework for re-conceptualizing different types of learning based on physical settings and intentionality, and then describe two seamless learning scenarios, namely 3Rs and Chinatown Trail, which were implemented in one primary school in Singapore. In conclusion, the authors discuss the affordances of seamless mobile learning for enhancing one's lived experiences to build a living ecological relationship between the person and the environment, and how mobile technology can play a critical role for enabling such lived experiences.

• 정보교육학회논문지
• /
• 제24권1호
• /
• pp.59-69
• /
• 2020

본 연구에서는 Computational Thinking 기반의 인공지능(AI)교육에 대한 학습자의 내재적 사고의 변화를 살펴보기 위한 평가도구 개발의 기준과 프레임워크를 구성하여 제시하고자 하였다. 이를 위해 데이터수집을 위한 인지적 학습보조(Agency)의 단계, 수집된 데이터의 특징을 분해하여 데이터의 패턴을 인식하고 카테고리화 과정을 수행하는 추상화(Abstracting)의 단계, 추상화과정을 수행한 정제된 데이터를 토대로 알고리즘을 구성하는 모델링(Modeling)단계의 일련의 순차적 과정이 평가요소로 구성되었다. 또한 학습자의 인식, 학습, 행동, 결과에 대한 인지적영역에 대한 평가가 구성되었으며, 학습자의 문제해결의 과정과 결과에 대하여 지식, 역량, 태도의 영역에 대하여 측정을 하게 됨으로써 AI교육에 대한 학습의 내재적인 인지영역의 변화와 결과에 대한 평가를 할 수 있도록 프레임 워크가 설계되었다. 연구의 결과는 교수학습의 맥락에 따른 개별화된 평가도구 개발에 대한 프레임워크를 구성하였다는 점에서 의미가 있으며, 향후 AI교육의 다양한 영역에서 활용될 수 있는 기준으로서 활용될 수 있을 것이다.