• Journal of Christian Education in Korea
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• v.65
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• pp.133-161
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• 2021

This study focuses on the vulnerability of our society and environment under the Covid-19 pandemic. The medical descriptions about severe acute respiratory syndrome coronavirus disease 2019 provide the serious manifestation of the SARS-CoV-2 virus and a new resilient hope of its vaccination. Moreover, with the perspective of feminist practical theology, the author explores a resilient possibility to reconstitute an ecological relationship between our society and environment. In addition, many people's depression in the time of Covid-19 is understood in the meaningful narrative of the relationship between integrity and despair to be stressed by Erikson in the perspective of Loder. Especially, this study focuses on the main stream of designing the convergence curriculum of medicine and theology to move toward the life wellbeing of community members, overcoming their difficult circumstances such as Covid-19.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.240-243
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• 2021

Recently, there have been research results of applying Big data and AI technologies to the evaluation and individual learning for education. It is information technology innovations that collect dynamic and complex data, including student personal records, physiological data, learning logs and activities, learning outcomes and outcomes from social media, MOOCs, intelligent tutoring systems, LMSs, sensors, and mobile devices. In addition, e-learning was generated a large amount of learning data in the COVID-19 environment. It is expected that learning analysis and AI technology will be applied to extract meaningful patterns and discover knowledge from this data. On the learner's perspective, it is necessary to identify student learning and emotional behavior patterns and profiles, improve evaluation and evaluation methods, predict individual student learning outcomes or dropout, and research on adaptive systems for personalized support. This study aims to contribute to research in the field of education by researching and classifying machine learning technologies used in anomaly detection and recommendation systems for educational data.

• Korean Journal of Comparative Education
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• v.28 no.2
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• pp.123-151
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• 2018

The purposes of this study were to examine the current status of ICT in all ASEAN countries and to provide implications for Korea to find appropriate ways to support and collaborate with HEIs in ASEAN countries. To achieve these purposes, ASEAN countries were categorized into 3 groups based on the development stages of ICT, and the key ICT initiatives, current facts about ICT, and related issues were analyzed. The results of the study were as follows: Group 1 countries, Brunei, Malaysia, and Singapore, with relatively well-established ICT infrastructure, have established their own ICT policies and initiated e-learning programs. Group 2 countries, Indonesia, Philippines, Thailand, and Vietnam, which have relatively well-developed ICT infrastructure with existing regional gaps, showed different uses of ICT in higher education. Philippines and Thailand established their own policies based on national ICT master plans while Indonesia focused on MOOCs and Vietnam initiated cyber university projects. Group 3 countries, Cambodia, Lao PDR, and Myanmar, with the least developed ICT infrastructure in ASEAN, have also tried to develop national level strategies to utilize ICT in higher education. However, insufficient and inadequate ICT infrastructure created issues and challenges for these countries to successfully initiate ICT policies. This study suggested that it is necessary to take into serious consideration the national differences when collaborating with and supporting ASEAN countries due to the variation of ICT development stages and different levels of using ICT in higher education among ASEAN countries.