The online learning experience and students’ satisfaction

This post is provided by guest blogger, Arshpreet K Thind, graduate student University of St. Francis, MS Training and Development Program.

This study explores the impact of the sudden shift to online learning during COVID-19 on undergraduate students.  Researchers conducted surveys before and after a few semesters of online learning, with over 1300 participants total. Findings showed dissatisfaction among a third of students, who reported struggles with technology, mental health, time management, and balancing studies with life.  Further investigation using focus groups revealed key factors behind dissatisfaction: distractions, reduced focus, psychological strain, and management issues. The study proposes solutions to improve the online learning experience and student satisfaction. This study provides valuable insights with a relatively large sample size (1300+) across two surveys. However, the focus on student perspectives soon after the initial shift to online learning (first survey) may not capture long-term adjustments. Additionally, solutions are proposed but their effectiveness isn’t evaluated.

Despite these limitations, the research offers a good starting point for understanding student struggles during the pandemic shift to online learning.  Educators and administrators developing online programs, particularly those in undergraduate settings, would find this information useful.

Reference:

Maqableh, M., & Alia, M. (2021). Evaluation online learning of undergraduate students under lockdown amidst COVID-19 Pandemic: The online learning experience and students’ satisfaction. Children and Youth Services Review, 128, 106160. https://doi.org/10.1016/j.childyouth.2021.106160

A Comparative Study of the ADDIE Instructional Design Model in Distance Education

This post is provided by guest blogger, Arshpreet K Thind, graduate student University of St. Francis, MS Training and Development Program.

A study investigated the usefulness of the ADDIE instructional design model in online education. Researchers analyzed 58 articles on applying ADDIE in distance learning environments. Their findings showed the ADDIE model to be effective across various online educational settings, with a preference for asynchronous learning (without real-time interaction). The study also identified successful teaching practices within the ADDIE framework, such as using multimedia presentations, providing feedback, and encouraging interaction among learners. Overall, this research suggests that the ADDIE model remains a valuable tool for designing impactful online courses, particularly asynchronous ones.

This study’s reliance on a meta-analysis (analysis of existing research) offers a broad perspective, but the quality of the 58 articles included is unclear. While the ADDIE model’s effectiveness is supported, the focus on asynchronous learning might limit its generalizability.

Despite these limitations, the resource is valuable for educators considering the ADDIE model for online courses, especially asynchronous ones.  Instructors and instructional designers interested in incorporating multimedia, feedback, and interaction would also find this information useful.

Reference:

Spatioti, A. G., Kazanidis, I., & Pange, J. (2022). A comparative study of the ADDIE Instructional Design Model in distance education. Information, 13(9), 402. https://doi.org/10.3390/info13090402

Technology of deep brain stimulation: current status and future directions

This post is provided by guest blogger, Arshpreet K Thind, graduate student University of St. Francis, MS Training and Development Program.

In this article, the author talks about the deep brain stimulation. Deep brain stimulation (DBS) is a surgical procedure that uses implanted electrodes to deliver electrical signals to specific parts of the brain. It’s a common treatment for movement disorders like Parkinson’s disease and tremor. The technology behind DBS has been around for a while, but recent advances are making it more effective and adaptable. For example, new electrodes can target specific areas of the brain more precisely, and closed-loop systems can adjust stimulation automatically based on brain activity. These advancements are expected to improve the benefits of DBS for patients while reducing side effects. Additionally, future DBS systems might be wirelessly controlled by doctors, but this raises security concerns that need to be addressed.

A more critical analysis would acknowledge the inherent risks of brain surgery and potential side effects of stimulation. This review article, offers a credible source for understanding DBS technology’s evolution. While valuable for healthcare professionals and researchers due to its in-depth exploration of technical advancements, it lacks mention of risks, limitations, and broader ethical concerns. Patients seeking general DBS information might benefit more from a source discussing these aspects alongside the positive developments.

Reference:

Krauss, J. K., Lipsman, N., Aziz, T., Boutet, A., Brown, P., Chang, J. W., Davidson, B., Grill, W. M., Hariz, M. I., Horn, A., Schulder, M., Mammis, A., Tass, P. A., Volkmann, J., & Lozano, A. M. (2020). Technology of deep brain stimulation: current status and future directions. Nature Reviews. Neurology17(2), 75–87. https://doi.org/10.1038/s41582-020-00426-z