About this Research Topic
After the COVID-19 pandemic in 2020, we have observed a noticeable decrease in classroom attendance in veterinary teaching faculties. Despite this decline, there has been no reduction in the demand for admission to veterinary degree programs and postgraduate studies, or in the level of knowledge and training required to equip future veterinarians for their practice. As a result, we must adapt our teaching methods to this evolving scenario: although our classes may have fewer students, the need for veterinary knowledge in practice is steadily growing. Simultaneously, an increasing number of new technologies are emerging that are likely to significantly impact veterinary education, learning, and practice.
Therefore, we believe that the publication and dissemination of new technologies and strategies in veterinary teaching can offer valuable insights to advance the profession, thereby enhancing the training of prospective veterinarians. This is particularly crucial given the ongoing necessity for our field to stay abreast of the latest developments.
Moreover, many veterinary specialties are subject to regulations from both European and non-EU authorities, underscoring the importance of understanding and adhering to these guidelines. Additionally, we welcome reports that delve into various social aspects of veterinary education and practice, as they can help provide a richer context for the profession and aid in forecasting training and planning requirements in veterinary schools—a factor that can ultimately benefit veterinary practice.
In this Research Topic, we aim to compile reports focusing on new teaching tools and strategies meant to enhance veterinary education and practice. Authors are encouraged to submit original articles and reviews sharing their experiences, procedures, and strategies aimed at improving the training of future veterinarians. This includes the utilization of new methodologies and technologies such as generative artificial intelligence (GenAI), process automation, image analysis for diagnosis, laboratory testing, virtual reality models for veterinary education, and more. The subjects of interest in this Research Topic include, but are not limited to:
• Social science aspects of veterinary education
• Global political aspects of veterinary education, regulation, and practice
• Technological impacts on veterinary education and practice, including the integration of GenAI
• Implementation of tools or strategies for personalized education in veterinary teaching
• Development and application of teaching models for clinical activities, including virtual reality simulators
• Development and application of AI-assisted diagnosis tools
• Application of the 3Rs principle in veterinary education and practice.
Therefore, we believe that the publication and dissemination of new technologies and strategies in veterinary teaching can offer valuable insights to advance the profession, thereby enhancing the training of prospective veterinarians. This is particularly crucial given the ongoing necessity for our field to stay abreast of the latest developments.
Moreover, many veterinary specialties are subject to regulations from both European and non-EU authorities, underscoring the importance of understanding and adhering to these guidelines. Additionally, we welcome reports that delve into various social aspects of veterinary education and practice, as they can help provide a richer context for the profession and aid in forecasting training and planning requirements in veterinary schools—a factor that can ultimately benefit veterinary practice.
In this Research Topic, we aim to compile reports focusing on new teaching tools and strategies meant to enhance veterinary education and practice. Authors are encouraged to submit original articles and reviews sharing their experiences, procedures, and strategies aimed at improving the training of future veterinarians. This includes the utilization of new methodologies and technologies such as generative artificial intelligence (GenAI), process automation, image analysis for diagnosis, laboratory testing, virtual reality models for veterinary education, and more. The subjects of interest in this Research Topic include, but are not limited to:
• Social science aspects of veterinary education
• Global political aspects of veterinary education, regulation, and practice
• Technological impacts on veterinary education and practice, including the integration of GenAI
• Implementation of tools or strategies for personalized education in veterinary teaching
• Development and application of teaching models for clinical activities, including virtual reality simulators
• Development and application of AI-assisted diagnosis tools
• Application of the 3Rs principle in veterinary education and practice.
Keywords: Veterinary Teaching, Degree, Teaching Technologies, Artificial Intelligence, GenAI, Animal Models, Virtualization, Replacement, Veterinary Education
Important Note: All contributions to this Research Topic must be within the scope of the section and journal to which they are submitted, as defined in their mission statements. Frontiers reserves the right to guide an out-of-scope manuscript to a more suitable section or journal at any stage of peer review.
