Objective: To assess the changing perceptions and attitudes of undergraduate dental students towards e-learning between 2001-2004. DESIGN, SAMPLE AND SETTING: This was a retrospective analysis of online questionnaire data, collected from four successive cohorts of final year students undertaking an online therapeutics course in a large teaching hospital.
Methods: Students were required to complete a structured and open questionnaire relating to their perceived ICT skills, the course itself, and their perceptions of e-learning. Simple numeric qualitative and qualitative analyses were applied.
Results: Questionnaires were returned by 328 students (98% response rate). Students' perceptions of having advanced ICT skills increased from 5.5% to 14.5%, with home internet access rising from 62.3% to 89.1 % (2001-2004). There was an increase in: ease of access (25.3% to 47.3%), perception of time saving (17.9% to 37.4%), appreciation of combining traditional and e-learning methods (43.8% to 57.4%) and online tutor access (21.9% to 40.7%). Free comments supporting good e-learning experiences rose from 7.2% to 32.7% with poor remarks decreasing (3.1% to 1.9%).
Conclusions: Students' perceptions of their ICT skills has increased, matched by better equipment and greater appreciation of e-learning. A shift towards preference of a blended approach of traditional and e-learning is evident.
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http://dx.doi.org/10.1038/bdj.2007.896 | DOI Listing |
Heliyon
January 2025
The University of Dodoma-Tanzania, College of Education, Department of Educational Psychology and Curriculum Studies, P.O. Box 523, Dodoma, Tanzania.
This study examined lecturers' teaching competencies at universities in the attempt to improve the teaching and learning process by considering students' perspectives. Specifically, the study examined indicators of lecturers' teaching competencies in universities as well as establishing whether there is a relationship between students' perceived lecturers' teaching competencies and students' demographic parameters. The study used a cross-sectional survey design to generate data from 422 undergraduate students from three public universities in Tanzania using a questionnaire.
View Article and Find Full Text PDFEBioMedicine
January 2025
CONNECT-AI Research Center, Yonsei University College of Medicine, Seoul, Republic of Korea; Ontact Health Inc., Seoul, Republic of Korea; Division of Cardiology, Severance Cardiovascular Hospital, Yonsei University College of Medicine, Yonsei University Health System, Seoul, Republic of Korea.
Background: Transthoracic echocardiography (TTE) is the primary modality for diagnosing aortic stenosis (AS), yet it requires skilled operators and can be resource-intensive. We developed and validated an artificial intelligence (AI)-based system for evaluating AS that is effective in both resource-limited and advanced settings.
Methods: We created a dual-pathway AI system for AS evaluation using a nationwide echocardiographic dataset (developmental dataset, n = 8427): 1) a deep learning (DL)-based AS continuum assessment algorithm using limited 2D TTE videos, and 2) automating conventional AS evaluation.
PLoS One
January 2025
University of Bayreuth, Bayreuth, Germany.
Skills shortage in the fields of Sciences, Technology, Engineering, and Mathematics (STEM) poses a significant challenge for industries globally. To overcome shortage of STEM talent, the selection into STEM fields must be fully understood. We contribute to existing research on the selection of STEM careers by analysing the interplay between teenagers' proficiency in Information and Communication Technology (ICT) and their career preferences in the STEM domain.
View Article and Find Full Text PDFNurs Health Sci
March 2025
College of Nursing, Jeonbuk National University, Jeonju, Republic of Korea.
The aim of this study was to develop and validate a predictive model to enhance self-management and quality of life in patients undergoing hemodialysis, using the Information-Motivation-Behavioral (IMB) skills model. A cross-sectional study design was employed, with data collected from 245 participants selected through convenience sampling from seven hemodialysis centers in the Republic of Korea. Data were gathered using a structured questionnaire and analyzed with descriptive statistics, Pearson's correlation coefficients, and path analysis, utilizing Statistical Package for the Social Sciences 27 and Amos 23.
View Article and Find Full Text PDFJ Med Internet Res
January 2025
Golgi Cenci Foundation, Abbiategrasso, Italy.
Background: During the COVID-19 pandemic, information and communication technology (ICT) became crucial for staying connected with loved ones and accessing health services. In this scenario, disparities in ICT use may have exacerbated other forms of inequality, especially among older adults who were less familiar with technology and more vulnerable to severe COVID-19 health consequences.
Objective: This study investigated changes in ICT use, psychological and physical health, and social capital before and after the pandemic among the oldest old population (aged 80 years or older after the pandemic) and explored how internet use influenced these changes.
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