A5007889048- Online Learning and Analytics
- Education and Learning Interventions
- Online and Blended Learning
- Innovative Teaching and Learning Methods
- Educational Systems and Policies
- Technology and Data Analysis
- E-Learning and Knowledge Management
- Educational Research and Pedagogy
- Educational Games and Gamification
- Diverse Approaches in Healthcare and Education Studies
- Educational Technology and Assessment
- Mobile Learning in Education
- Impact of Technology on Adolescents
- Perfectionism, Procrastination, Anxiety Studies
- Congenital Heart Disease Studies
- Cardiovascular and Diving-Related Complications
- International Student and Expatriate Challenges
- Intelligent Tutoring Systems and Adaptive Learning
- Cardiac pacing and defibrillation studies
- Cardiovascular Function and Risk Factors
- Digital Games and Media
- Artificial Intelligence in Games
- Human Resources and Workforce
- Low-power high-performance VLSI design
- Innovation in Digital Healthcare Systems
Honam University
2016-2024
Catholic University of Korea
2024
Seoul St. Mary's Hospital
2024
Incheon Medical Center
2023
Deleted Institution
2011-2023
Yonsei University
2007-2022
Gachon University
2020
Gangnam Severance Hospital
2020
Ewha Womans University
2014-2017
Severance Hospital
2017
Instructional designers and educators recognize the potential of mobile technologies as a learning tool for students have incorporated them into distance environment. However, little research has been done to categorize numerous examples in context education, few instructional design guidelines based on solid theoretical framework exist. In this paper I compare (m-learning) with electronic (e-learning) ubiquitous (u-learning) describe technological attributes pedagogical affordances...
The Learning Analytics Dashboard (LAD) is an application to show students' online behavior patterns in a virtual learning environment. This supporting tool works by tracking log-files, mining massive amounts of data find meaning, and visualizing the results so they can be comprehended at glance. paper reviews previously developed applications analyze their features. Based on implications from review previous studies as well preliminary investigation need for such tools, early version LAD was...
As blended learning moved toward a new phase during the COVID-19 pandemic, advancements in artificial intelligence (AI) technology provided opportunities to develop more diverse and dynamic learning. This systematic review focused on publications related use of AI applications The original studies from January 2007 October 2023 were extracted Google Scholar, ERIC, Web Science databases. Finally, 30 empirical under inclusion criteria reviewed based two conceptual frameworks: four key...
Abstract An asynchronous online discussion (AOD) is one format of instructional methods that facilitate student‐centered learning. In the wealth AOD research, this study evaluated how students' behavior on influences their academic outcomes. This case compared differential analytic including web log mining, social network analysis and content which were selected by three interaction patterns: person to system (P2S), (P2P) (P2C) interaction. Forty‐three undergraduate students participated in...
This study describes the massive open online course (MOOC) experiences of three educational technology scholars assuming roles learners. Adapting Carroll's model school learning as a theoretical framework, employed an autoethnography method to collect empirical data in different MOOCs. Data analysis from regularly recorded journals revealed commonalities and differences learner experiences. Based on results, refined version was produced provide foundation for future research development into
As the advance of learning technologies and analytics tools continues, management systems (LMSs) have been required to fulfil growing expectations for smart learning. However, reality regarding level technology integration in higher education differs considerably from such or speed advances educational technologies. This research aimed evaluate current activation levels usage patterns a LMS. A large data-set was analysed, which included online activity information 7940 courses. Through data...
We investigated the predictors of recovery depressed left ventricular ejection fraction (LVEF) in patients with moderate or severe (LV) systolic dysfunction after acute myocardial infarction (MI).We analyzed 1307 patients, who had moderately severely LVEF (<45%) on echocardiography soon MI and underwent a follow-up echocardiography, among 27369 from Korea Working Group Myocardial Infarction Registry. Patients were categorized into two groups according to LVEF: group I consistently at II...
The purpose of this study was to identify the relationship between psychological variables and online behavioral patterns students, collected through a Learning Management System (LMS). Test attempted structural equation model representing relationships among Time Study Environment (TSEM), one sub-constructs MSLQ, influencing set time-related log variables: login frequency, regularity, total time. Data were from 188 college students in Korean university. Employing modeling, hypothesized...
Background Premature ventricular complex (PVC) has been regarded as benign; however, when frequent, the arrhythmia can induce left (LV) systolic dysfunction. Meanwhile, influence of PVCs on cardiac structural remodeling and functional change before occurrence overt heart failure not fully described. In this study, we attempted to identify early structural/functional manifestations frequent in patients with normal LV function. Methods A total 146 (age: 55 ± 15 years, 48 males) observed...
Background and Objectives: Transesophageal echocardiography (TEE) guidance is the current gold standard for catheter-based procedures in treatment of structural heart diseases. Intracardiac (ICE), which can be performed under local anesthesia, has been recently introduced becoming more widely used. We aimed to compare efficacy safety ICE TEE patent foramen ovale (PFO) device closure. Materials Methods: All 74 patients with a history cryptogenic stroke undergoing PFO closure secondary...
A new low-power testing methodology to reduce the excessive power dissipation associated with scan-based designs in deterministic test pattern generated by linear feedback shift registers (LFSRs) built-in self-test is proposed. This method utilises two split LFSRs amount of switching activity. The original cubes are partitioned into zero-set and one-set according specified bits cubes, LFSR generates a or cube given cube. In cases where current scan shifting value do not care bit accounting...