Biomedical subjects

Lynn A Johnson

Publications and source records attributed to Lynn A Johnson.

4 recordsLinked to original sources

PubMed2003

Developing high-quality educational software.

The development of effective educational software requires a systematic process executed by a skilled development team. This article describes the core skills required of the development team members for the six phases of successful educational software development. During analysis, the foundation of product development is laid including defining the audience and program goals, determining hardware and software constraints, identifying content resources, and developing management tools. The design phase creates the specifications that describe the user interface, the sequence of events, and the details of the content to be displayed. During development, the pieces of the educational program are assembled. Graphics and other media are created, video and audio scripts written and recorded, the program code created, and support documentation produced. Extensive testing by the development team (alpha testing) and with students (beta testing) is conducted. Carefully planned implementation is most likely to result in a flawless delivery of the educational software and maintenance ensures up-to-date content and software. Due to the importance of the sixth phase, evaluation, we have written a companion article on it that follows this one. The development of a CD-ROM product is described including the development team, a detailed description of the development phases, and the lessons learned from the project.

Computer Simulation↗

PubMed2003

Evaluation of educational software.

Evaluation is an important component of developing educational software. Ideally, such evaluation quantifies and qualifies the effects of a new educational intervention on the learning process and outcomes. Conducting meaningful and rigorous educational evaluation is difficult, however. Challenges include defining and measuring educational outcomes, accounting for media effects, coping with practical problems in designing studies, and asking the right research questions. Practical considerations that make the design of evaluation studies difficult include confounding, potentially small effect sizes, contamination effects, and ethics. Two distinct approaches to evaluation are objectivist and subjectivist. These two complement each other in describing the whole range of effects a new educational program can have. Objectivist demonstration studies should be preceded by measurement studies that assess the reliability and validity of the evaluation instrument(s) used. Many evaluation studies compare the performance of learners who are exposed to either the new program or a more traditional approach. However, this method is problematic because test or exam performance is often a weak indicator of competence and may fail to capture important nuances in outcomes. Subjectivist studies are more qualitative in nature and may provide insights complementary to those gained with objectivist studies. Several published examples are used in this article to illustrate different evaluation methods. Readers are encouraged to contemplate a wide range of evaluation study designs and explore increasingly complex questions when evaluating educational software.

Computer Simulation↗

PubMed2002

Continuing dental education on the World Wide Web.

Continuing dental education (CDE) courses delivered on the World Wide Web (Web CDE) offer numerous advantages over traditional CDE; however, two major issues--location of suitable courses and course quality--need resolution. Locating high-quality courses is difficult due to the lack of the standardized metadata that allows search engines to match courses to practitioners' needs. Web directories created by professional organizations are beginning to show promise, but require further development. Search engines and Web directories are discussed and improvements currently underway summarized. Course quality remains a highly significant concern. A national effort to create Web CDE course quality standards is underway that includes proposed standards. These proposed standards are summarized and used to comment on the current state of Web CDE courses. Examples are given when possible. Three emerging Web CDE technologies and a look to the future of Web CDE are discussed.

Computer-Assisted Instruction↗

PubMed2002

A comparison of student performance in a simulation clinic and a traditional laboratory environment: three-year results.

With simulation clinics, dental schools have improved their preclinical laboratories to provide a more realistic clinical teaching environment. However, there is very little data to support the assumption that these facilities actually improve student performance of technical skills. This study compared the scores of two fixed preparations for full cast crowns by third-year dental students. One of the preparations was made in the simulation clinic manikin, and the other was prepared on the bench top. Three prosthodontic faculty members scored the preparations in the areas of occlusal reduction, axial reduction, resistance and retention, and margination. The study also compared the performance of three classes of dental students: one class with no experience in the simulation clinic, one with one year of experience, and one with two years of experience. The amount of time since completing the fixed prosthodontics course among the students was also evaluated. This was done because the third-year students at the University of Iowa rotate through a series often-week clerkships rather than a comprehensive care model. (Therefore, not all students start clinical prosthodontics at the same time.) In addition, all student participants completed a questionnaire that addressed their perception of their clinical readiness prior to treating their first fixed prosthodontic patient. When we compared the classes of years 1, 2, and 3 by average preparation score, we found a significant difference among the scores for teeth prepared on the bench top (p = 0.0001) but not for the teeth prepared in the mannequin (p = 0.1176). For Year 1 (no simulation clinic experience), the amount of elapsed time following completion of the fixed prosthodontic course was not significant for the tooth prepared on the bench top or in the manikin (p = 0.57113 and 0.0661). For Year 2 (one year of simulation clinic experience), the elapsed time following completion of the fixed prosthodontic course was significant for the tooth prepared on the bench top (p = 0.0482), but it was not significant for the tooth prepared in the manikin (p = 0.2968). For Year 3 (two years of simulation clinic experience), the amount of elapsed time following completion of the fixed prosthodontic course was not significant for the tooth prepared on the bench top or in the manikin (p = 0.7275 and 0.6007). The questionnaire revealed that, in general, the majority of the students perceived their clinical readiness as more than adequate. These results are mixed in that students with more bench top experience scored better on the bench top, and students with more manikin experience scored equally in both environments.

Analysis of Variance↗