Earticle

현재 상용화된 온라인 시험 플랫폼들은 문제 목록 및 출제의 체계화가 부족하고 대규모 인원에 대한 이 용 접근성이 낮다. 이런 단점을 보완하고 평가의 교육적 효과와 효율성을 확대하기 위해 변수 랜덤 방식으로 출제 문제를 다변화하는 온라인 시험 및 평가 시스템을 개발했다. 본 플랫폼은 랜덤 변수 다지선다형 객관식 문제출제, 문제 미리보기-원클릭 시험지 구성, 교수자들과 문제은행 및 시험지 공유, 및 개별 학생의 접속상태 감지/알림과 같은 독창적인 기능을 구비하고 있다. 또한 모바일 기기에서도 사용할 수 있도록 개발되어 대규모 수강 인원의 학 습역량 평가에 대한 사용 편의성 및 효율성도 높였다. 이러한 장점들로 인해, 기존의 플랫폼들과 차별화된 방향으로 개발된 본 플랫폼이 종이 기반 시험을 대체할 수 있는 효과적이고 효율적인 평가 수단으로 위치할 수 있을 것으로 기대한다.

The current commercial online assessment platforms have a lack of systematization for question listing and testing structures, and low accessibility to a large number of students. To address these constraints and enhance the effectiveness and efficiency of assessments in education, we have developed an online assessment platform that diversifies test questions employing a variable randomization method. Our platform incorporates unique features, such as testing with random-variable multiple-choice questions, test sheet configuration by pre-previewing and one-click problem selection, convenient sharing of question lists and test sheets with other instructors, and monitoring/alarming connectivity status for individual students. Additionally, it was developed to be compatible with mobile devices, increasing usage efficiency and convenience for a large number of students. With these aspects, we believe our platform, developed with distinct directions from existing platforms, would position itself as an efficient and effective assessment tool with the potential to replace paper-based tests.

Celiac disease (CeD) is an autoimmune disorder triggered by gluten, primarily affecting the small intestine but potentially impacting other systems, including the nervous system through the gut-brain axis. This study employed Mendelian randomization (MR) to explore the causal relationships between CeD and several neurological disorders, with a particular focus on multiple sclerosis (MS). Utilizing genetic data from the OpenGWAS and Finngen databases, we applied various MR methods, including Inverse Variance Weighted (IVW), IVW-multiplicative random effects (MRE), weighted median (WM), MR-Egger, and robust adjusted profile score (RAPS), to investigate these associations. The analysis revealed no significant causal relationship between CeD and several other neurological disorders, but a significant positive association with MS was found (IVW OR=1.1919, 95% CI: 1.0851~1.3092, p=0.0002). Further analysis indicated that the mediator CCL19 plays a significant role in the pathway from CeD to MS, suggesting that CCL19 may be a key factor in the immune response linking these conditions. This mediation effect highlights the potential mechanism through which CeD increases the risk of developing MS. These findings emphasize the complexity of the relationship between CeD and MS, indicating the need for further research to understand these connections better and their clinical implications.