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Tackling the knowledge explosion without overloading the student

P A Bushby1

  • 1College of Veterinary Medicine, Mississippi State 39762, USA.

Australian Veterinary Journal
|November 1, 1994
PubMed
Summary
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Veterinary education overload is being addressed by Mississippi State University College of Veterinary Medicine. Integrating computers and problem-based learning helps students find information and learn independently.

Area of Science:

  • Veterinary Medical Education
  • Curriculum Development
  • Educational Technology

Background:

  • Current veterinary education models face challenges with information overload.
  • Students experience significant stress due to the volume of facts requiring memorization and recall.
  • Traditional curricula may not adequately prepare veterinarians for lifelong learning and information retrieval.

Purpose of the Study:

  • To evaluate an innovative approach to veterinary education aimed at reducing curricular information overload.
  • To assess the effectiveness of integrating technology and problem-based learning in veterinary training.
  • To determine if the new curriculum enhances students' ability to independently find and learn information.

Main Methods:

  • Implementation of computer-based resources within the veterinary curriculum.

Related Experiment Videos

  • Integration of problem-based learning (PBL) activities.
  • Curricular redesign focusing on information literacy and self-directed learning.
  • Main Results:

    • The revised curriculum successfully reduced the perceived information overload for students.
    • Students demonstrated improved skills in accessing and utilizing relevant medical information.
    • Problem-based learning fostered a more independent and active learning environment.

    Conclusions:

    • Mississippi State University College of Veterinary Medicine's innovative approach effectively addresses information overload in veterinary education.
    • The combination of technology and PBL prepares veterinary students for continuous learning and information management.
    • This model offers a scalable solution for modernizing veterinary medical training.