Dataset Information

Characteristics of Adaptation in Undergraduate University Students Suddenly Exposed to Fully Online Education During the COVID-19 Pandemic.

ABSTRACT: This study aimed to clarify the adaptation features of University students exposed to fully online education during the novel coronavirus disease 2019 (COVID-19) pandemic and to identify accompanying mental health problems and predictors of school adaptation. The pandemic has forced many universities to transition rapidly to delivering online education. However, little is known about the impact of this drastic change on students' school adaptation. This cross-sectional study used an online questionnaire, including assessments of impressions of online education, study engagement, mental health, and lifestyle habits. In total, 1,259 students were assessed. The characteristics of school adaptation were analyzed by a two-step cluster analysis. The proportion of mental health problems was compared among different groups based on a cluster analysis. A logistic regression analysis was used to identify predictors of cluster membership. P-values < 0.05 were considered statistically significant. The two-step cluster analysis determined three clusters: school adaptation group, school maladaptation group, and school over-adaptation group. The last group significantly exhibited the most mental health problems. Membership of this group was significantly associated with being female (OR = 1.42; 95% CI 1.06-1.91), being older (OR = 1.21; 95% CI 1.01-1.44), those who considered online education to be less beneficial (OR = 2.17; 95% CI 1.64-2.88), shorter sleep time on weekdays (OR = 0.826; 95% CI 0.683-.998), longer sleep time on holidays (OR = 1.21; 95% CI 1.03-1.43), and worse restorative sleep (OR = 2.27; 95% CI 1.81-2.86). The results suggest that academic staff should understand distinctive features of school adaptation owing to the rapid transition of the educational system and should develop support systems to improve students' mental health. They should consider ways to incorporate online classes with their lectures to improve students' perceived benefits of online education. Additionally, educational guidance on lifestyle, such as sleep hygiene, may be necessary.

SUBMITTER: Ishimaru D

PROVIDER: S-EPMC8473868 | biostudies-literature |

REPOSITORIES: biostudies-literature

ACCESS DATA

Similar Datasets

Project description:BackgroundThe evaluation of undergraduate medical curricula plays a crucial role in ensuring effectiveness and helps in continuous improvement of the learning process. This study aims to compare the effectiveness of online and hybrid teaching models of the first-year MBBS curriculum in the COVID-19 era (2019-20) and the para-COVID-19 pandemic (2020-21).Study methodologyMixed methods study with CIPP model was used. Data was collected by administering a survey and focus group discussions (FGDs) with first-year students from the 2019-2020 and 2020-2021 cohorts, faculty and administrators, which were recorded for analysis. Recorded lectures, guidebooks, planners, and question papers were also scrutinized for quality and adequacy. Furthermore, admission merit, module assessments, and professional examination results were compared and correlated. The learning environment was evaluated through the questionnaire (validated and used by Pakistan Medical and Dental council for inspections of medical schools) and the facilities provided in both years were juxtaposed. The study utilized NVIVO for qualitative and SPSS version 23 for quantitative data analysis.ResultsContextual analysis underscored the critical need for online teaching during the COVID-19 pandemic, with provided resources being deemed sufficient. Notably, the student-faculty ratio stood at 4:1, and essential resources were readily available. The fully online batch outperformed the hybrid teaching class in 2020-21. Process analysis revealed successful session delivery in hybrid and online through webinars and Zoom, accompanied by timely provision of study guides and punctual assessments. Moreover, examination papers demonstrated acceptable reliability (Cronbach's alpha: 0.61) in core subjects. Product analysis indicated that the 2020-21 cohort performed better in modular and professional examinations across all subjects (P < 0.01) despite their lower admission merit compared to the 2019-20 batch.ConclusionsThe study revealed challenges faced during total online teaching, highlighting knowledge and skills gaps in students. While students favored hybrid teaching for interaction, faculty preferred online strategies and suggested blended learning. The administration recognized faculty's swift transition but stressed the need for blended learning workshops and strengthening the medical education department. Recommendations include implementing blended learning strategies, conducting faculty workshops, equipping the medical education department for online teaching, and gathering student feedback after each module to enhance the curriculum.

Project description:To successfully learn using open Internet resources, students must be able to critically search, evaluate and select online information, and verify sources. Defined as critical online reasoning (COR), this construct is operationalized on two levels in our study: (1) the student level using the newly developed Critical Online Reasoning Assessment (CORA), and (2) the online information processing level using event log data, including gaze durations and fixations. The written responses of 32 students for one CORA task were scored by three independent raters. The resulting score was operationalized as "task performance," whereas the gaze fixations and durations were defined as indicators of "process performance." Following a person-oriented approach, we conducted a process mining (PM) analysis, as well as a latent class analysis (LCA) to test whether-following the dual-process theory-the undergraduates could be distinguished into two groups based on both their process and task performance. Using PM, the process performance of all 32 students was visualized and compared, indicating two distinct response process patterns. One group of students (11), defined as "strategic information processers," processed online information more comprehensively, as well as more efficiently, which was also reflected in their higher task scores. In contrast, the distributions of the process performance variables for the other group (21), defined as "avoidance information processers," indicated a poorer process performance, which was also reflected in their lower task scores. In the LCA, where two student groups were empirically distinguished by combining the process performance indicators and the task score as a joint discriminant criterion, we confirmed these two COR profiles, which were reflected in high vs. low process and task performances. The estimated parameters indicated that high-performing students were significantly more efficient at conducting strategic information processing, as reflected in their higher process performance. These findings are so far based on quantitative analyses using event log data. To enable a more differentiated analysis of students' visual attention dynamics, more in-depth qualitative research of the identified student profiles in terms of COR will be required.

Dataset Information

Characteristics of Adaptation in Undergraduate University Students Suddenly Exposed to Fully Online Education During the COVID-19 Pandemic.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets