Developing teaching and learning resources using technology

Overview The workshop will be aimed at course directors, academic leaders, course coordinators, faculty members and anyone who is engaged in or interested to teach and develop courses using technology. The workshop will offer the participants an opportunity to identify teaching and learning resources available and develop their own using technology according to the needs of the course / session in Health Profession’s Education (HPE). Hands on practice of developing teaching learning resources will be embedded within theoretical models of teaching and learning with technology. Objectives By the end of the workshop, the participants will be able to: Appreciate the various types and advantages of electronic and web-based teaching and learning resources in HPE Identify appropriate and effective e-learning resources based on the teaching and learning needs of the course / session Develop effective teaching and learning resources using technology according to the good practice guidelines Appreciate importance of evaluating the use of various teaching and learning resources in HP

A review of top cardiology and cardiovascular medicine journal guidelines regarding the use of generative artificial intelligence tools in scientific writing

Background: Generative Artificial Intelligence (AI) tools have experienced rapid development over the last decade and are gaining increasing popularity as assistive models in academic writing. However, the ability of AI to generate reliable and accurate research articles is a topic of debate. Major scientific journals have issued policies regarding the contribution of AI tools in scientific writing.Methods: We conducted a review of the author and peer reviewer guidelines of the top 25 Cardiology and Cardiovascular Medicine journals as per the 2023 SCImago rankings. Data were obtained though reviewing journal websites and directly emailing the editorial office. Descriptive data regarding journal characteristics were coded on SPSS. Subgroup analyses of the journal guidelines were conducted based on the publishing company policies.Results: Our analysis revealed that all scientific journals in our study permitted the documented use of AI in scientific writing with certain limitations as per ICMJE recommendations. We found that AI tools cannot be included in the authorship or be used for image generation, and that all authors are required to assume full responsibility of their submitted and published work. The use of generative AI tools in the peer review process is strictly prohibited.Conclusion: Guidelines regarding the use of generative AI in scientific writing are standardized, detailed, and unanimously followed by all journals in our study according to the recommendations set forth by international forums. It is imperative to ensure that these policies are carefully followed and updated to maintain scientific integrity