Design considerations for delivering e-learning to surgical trainees

Copyright © 2011, IGI Global. Distributed with permission.Challenges remain in leveraging e-health technologies for continuous medical education/professional development. This study examines the interface design and learning process features related to the use of multimedia in providing effective support for the knowledge and practice of surgical skills. Twenty-one surgical trainees evaluated surgical content on a CD-ROM format based on 14 interface design and 11 learning process features using a questionnaire adapted from an established tool created to assess educational multimedia. Significant Spearman’s correlations were found for seven of the 14 interface design features – ‘Navigation’, ‘Learning demands’, ‘Videos’, ‘Media integration’, ‘Level of material’, ‘Information presentation’ and ‘Overall functionality’, explaining ratings of the learning process. The interplay of interface design and learning process features of educational multimedia highlight key design considerations in e-learning. An understanding of these features is relevant to the delivery of surgical training, reflecting the current state of the art in transferring static CD-ROM content to the dynamic web or creating CD/web hybrid models of education

A Project Based Approach to Statistics and Data Science

In an increasingly data-driven world, facility with statistics is more important than ever for our students. At institutions without a statistician, it often falls to the mathematics faculty to teach statistics courses. This paper presents a model that a mathematician asked to teach statistics can follow. This model entails connecting with faculty from numerous departments on campus to develop a list of topics, building a repository of real-world datasets from these faculty, and creating projects where students interface with these datasets to write lab reports aimed at consumers of statistics in other disciplines. The end result is students who are well prepared for interdisciplinary research, who are accustomed to coping with the idiosyncrasies of real data, and who have sharpened their technical writing and speaking skills

Comparison of the cost‐effectiveness of a computer‐assisted learning program with a tutored demonstration to teach intestinal motility to medical students

Computer‐based simulations of undergraduate experiments in pharmacology and physiology may offer a cost‐effective alternative to the traditional live laboratory for some students, for whom laboratory skills are less important. Here we describe a study which compares two approaches to teaching preclinical medical students the pharmacology of colonic motility. Half of one cohort received a tutored live demonstration of an isolated tissue laboratory, while the other half used a computer simulation program covering the same subject. The study demonstrated that student learning was comparable for both groups, that many students found the computer simulation an acceptable alternative and that the latter required significantly less resource

Developing lifelong learners: A novel online problem‐based ultrasonography subject

Online learning environments have a major role in providing lifelong learning opportunities. Lifelong learning is critical for successful participation in today's competitive work environment. This paper describes an online problem‐based learning approach to the creation of a student‐centred learning environment for the study of the biological sciences subject in the Graduate Diploma of Applied Science (Medical Ultrasonography) course at the University of Sydney. The environment is interactive and collaborative, with all communication taking place online. Students work in groups to study clinically relevant problems. A Web‐database system provides learner control in the process of knowledge acquisition, access to reference materials on the Internet and communication with the tutor and with peers through synchronous chat and asynchronous threaded discussion forums. Other online features include a protocol for problem‐solving, self‐assessment and feedback opportunities, detailed help, streaming audio and video and pre‐course, ongoing and post‐course questionnaires. This technology may be adapted to a range of disciplines and can also be utilized in on‐campus teaching

Selection of Statistical Software for Solving Big Data Problems: A Guide for Businesses, Students, and Universities

The need for analysts with expertise in big data software is becoming more apparent in today’s society. Unfortunately, the demand for these analysts far exceeds the number available. A potential way to combat this shortage is to identify the software taught in colleges or universities. This article will examine four data analysis software—Excel add-ins, SPSS, SAS, and R—and we will outline the cost, training, and statistical methods/tests/uses for each of these software. It will further explain implications for universities and future students

Ariel - Volume 8 Number 1

Executive Editor James W. Lockard, Jr. Issue Editor Michael J. Grimes Business Manager Neeraj K. Kanwal Managing Editor Edward H. Jasper University News Richard J. Perry World News William D.B. Hiller Opinions Elizabeth A. McGuire Features Patrick P. Sokas Sports Desk Shahab S. Minassian Managing Associate Brenda Peterson Photography Robert D. Lehman, Jr. Graphics Christine M. Kuhnl