LibGuides: Faculty Instruction Tools: Welcome

Introduction

The PCOM Library is dedicated to offering services, instruction, and resources that support teaching and learning, research, outreach, and clinical activities of student, staff, and faculty. This guide explains the library's resources and services for faculty to help with their instructional and research needs.

Anatomy.TV

Anatomy TV is an interactive, 3D anatomical resource used for learning and teaching human anatomy. It offers detailed, high-resolution models of the human body, allowing users to explore various systems (such as musculoskeletal, nervous, cardiovascular, and more) in a virtual, 3D environment. The platform is designed for medical students, healthcare professionals, and educators, providing tools for in-depth study, including features like labeling, dissection views, and the ability to isolate specific structures.
Aquifer

Aquifer is an online learning platform designed to provide medical education through interactive, case-based modules. It is primarily used by medical students, educators, and healthcare professionals. Aquifer offers a wide range of clinical case simulations that cover topics across different medical specialties, including pediatrics, internal medicine, family medicine, and obstetrics/gynecology. These cases are designed to help learners develop critical thinking, diagnostic skills, and clinical decision-making abilities. Aquifer's resources are commonly used in medical schools and residency programs to supplement traditional education with real-world scenarios. To use this resource, contact Jim Panacio for account setup and use instructions.

New!

Smart University by Lindsay Weinberg
ISBN: 9781421450025

Publication Date: 2024-10-08

How surveillance perpetuates long-standing injustices woven into the fabric of higher education. Higher education increasingly relies on digital surveillance in the United States. Administrators, consulting firms, and education technology vendors are celebrating digital tools as a means of ushering in the age of "smart universities." By digitally monitoring and managing campus life, institutions can supposedly run their services more efficiently, strengthen the quality of higher education, and better prepare students for future roles in the digital economy. Yet in practice, these initiatives often perpetuate austerity, structural racism, and privatization at public universities under the guise of solving higher education's most intractable problems.
Using Generative AI Effectively in Higher Education by Sue Beckingham (Editor); Jenny Lawrence (Editor); Stephen Powell (Editor); Peter Hartley (Editor)
ISBN: 9781040108277

Publication Date: 2024-06-14

Using Generative AI Effectively in Higher Education explores how higher education providers can realise their role and responsibility in harnessing the power of generative artificial intelligence (GenAI) ethically and sustainably. This rich collection of established and evaluated practices from across global higher education offers a practical guide to leading an agile institutional response to emerging technologies, building critical digital literacy across an entire institution, and embedding the ethical and sustainable use of GenAI in teaching, learning, and assessment. Including reflections from stakeholders testifying to the value of the approaches outlined, the book examines how higher education can equip staff and students with the critical-digital literacy necessary to use GenAI in work, study, and social life responsibly and with integrity. It provides an evidence-based resource for any kind of higher education (HE) provider (modern, college-based, and research-focused) looking for inspiration and approaches which can build GenAI capability and includes chapters on the development of cross-institutional strategy, policies and processes, pedagogic practices, and critical-digital literacy. This resource will be invaluable to educational leaders, educational developers, learning developers, learning technologists, course administrators, quality assurance staff, and HE teachers wishing to embrace and adapt to a GenAI-enabled world.