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  1. Article

    Open Access

    Assessing the impacts of dam/weir operation on streamflow predictions using LSTM across South Korea

    Recently, weather data have been applied to one of deep learning techniques known as “long short-term memory (LSTM)” to predict streamflow in rainfall-runoff relationships. However, this approach may not be su...

    Yongsung Kwon, YoonKyung Cha, Yeonjeong Park, Sangchul Lee in Scientific Reports (2023)

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  2. Article

    Coronavirus enzyme inhibitors-experimentally proven natural compounds from plants

    Coronavirus disease (COVID-19) can cause critical conditions that require efficient therapeutics. Several medicines are derived from plants, and researchers are seeking natural compounds to ameliorate the symp...

    Junsoo Park, Rackhyun Park, Minsu Jang, Yea-In Park… in Journal of Microbiology (2022)

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  3. Article

    Correction to: Factors that affect the success of learning analytics dashboards

    The Funding information provided in this article as published stands in need of correction. The correct information is: “This study was supported by research fund from Honam University, 2017”. Also note the c...

    Yeonjeong Park, Il-Hyun Jo in Educational Technology Research and Development (2019)

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  4. No Access

    Article

    Factors that affect the success of learning analytics dashboards

    A learning analytics dashboard enables teachers and students to monitor and reflect on their online teaching and learning patterns. This study was a review of prior studies on learning analytics dashboards to ...

    Yeonjeong Park, Il-Hyun Jo in Educational Technology Research and Development (2019)

  5. No Access

    Article

    Effects of learning analytics dashboard: analyzing the relations among dashboard utilization, satisfaction, and learning achievement

    The learning analytics dashboard (LAD) is a newly developed learning support tool for virtual classrooms that is believed to allow students to review their online learning behavior patterns intuitively through...

    Jeonghyun Kim, Il-Hyun Jo, Yeonjeong Park in Asia Pacific Education Review (2016)

  6. No Access

    Chapter and Conference Paper

    Tracking Students’ Eye-Movements on Visual Dashboard Presenting Their Online Learning Behavior Patterns

    This study aims to investigate students’ reactions and perceptions to the Learning Analytics Dashboard (LAD). LAD was designed and developed by researchers to present students’ online learning activity in a vi...

    Kunhee Ha, Il-Hyun Jo, Sohye Lim, Yeonjeong Park in Emerging Issues in Smart Learning (2015)

  7. No Access

    Chapter and Conference Paper

    Towards Smart Asynchronous Discussion Activity: Using Social Network Analysis to Investigate Students’ Discussion Patterns

    This study analyzed students’ interaction patterns in asynchronous online discussion forums by using log files left in the LMS. By taking Social Network Analysis (SNA) and Learning Analytics (LA) approaches, t...

    Jeonghyun Kim, Hyeyun Lee, Yesom Yoo, Hanall Sung… in Emerging Issues in Smart Learning (2015)

  8. No Access

    Chapter and Conference Paper

    Educational Dashboards for Smart Learning: Review of Case Studies

    An educational dashboard is a display which visualizes the results of educational data mining in a useful way. Educational data mining and visualization techniques allow teachers and students to monitor and re...

    Yesom Yoo, Hyeyun Lee, Il-Hyun Jo, Yeonjeong Park in Emerging Issues in Smart Learning (2015)

  9. No Access

    Article

    Role of FDG-PET/CT in detecting lymphomatous bone marrow involvement in patients with newly diagnosed diffuse large B-cell lymphoma

    To evaluate the role of FDG-PET/CT in detecting bone marrow (BM) involvement, pre-treatment bilateral bone marrow biopsies (BMBs) and FDG-PET/CT scans of 89 patients with diffuse large B-cell lymphoma (DLBCL) ...

    Junshik Hong, Yukyung Lee, Yeonjeong Park, Seog Gyun Kim… in Annals of Hematology (2012)

  10. No Access

    Article

    Numerical approach to Cryptosporidium risk assessment using reliability method

    A previously developed Cryptosporidium transport model is solved numerically to investigate the transport and interactions between Cryptosporidium, water and surface sediment and to estimate the risk of surface w...

    Yeonjeong Park, Lilit Yeghiazarian… in Stochastic Environmental Research and Risk… (2008)