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Since 1980 the amount of medical information has doubled approximately every second year. This implies that oral health students as well as professionals need to manage the flow of information rationally, in order to learn how to undertake evidence‐based decision‐making for diagnosis and treatment in a given patient situation. Current research indicates that computer connected databases and computer assisted learning (CAL) may enhance learning and provide the clinician with information for decision‐making when treating patients. Multimedia for CAL, which combines audio and visual data in an interactive form, has proved to be an effective tool in education. CAL may supplement and reinforce more traditional learning and create opportunities to illustrate clinical situations in an interactive way. CAL has the potential to help students develop skills and knowledge. Students, staff and professionals consider CAL stimulating and motivating. Students easily adapt to CAL although their current computer literacy is still low. New authoring tools make it easier for faculties to develop their own CAL software. In the future we will see more sophisticated software with virtual patients who can communicate and interact with the student in a very realistic way. The software will even “step out” from the screen and help the student with clinical procedures. However, at present CAL should not replace traditional education, but rather be used more as a supplement and for self‐directed studies.
Audiovisual Aids, Decision Making, Students, Dental, 028, Databases As Topic, User-Computer Interface, Attitude, Databases as Topic, Multimedia, Dental, Humans, Learning, Clinical Competence, Students, Software, Computer-Assisted Instruction
Audiovisual Aids, Decision Making, Students, Dental, 028, Databases As Topic, User-Computer Interface, Attitude, Databases as Topic, Multimedia, Dental, Humans, Learning, Clinical Competence, Students, Software, Computer-Assisted Instruction
citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 117 | |
popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 1% | |
impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |