Title |
Computer game-based and traditional learning method: a comparison regarding students’ knowledge retention
|
---|---|
Published in |
BMC Medical Education, February 2013
|
DOI | 10.1186/1472-6920-13-30 |
Pubmed ID | |
Authors |
Silmara Rondon, Fernanda Chiarion Sassi, Claudia Regina Furquim de Andrade |
Abstract |
Educational computer games are examples of computer-assisted learning objects, representing an educational strategy of growing interest. Given the changes in the digital world over the last decades, students of the current generation expect technology to be used in advancing their learning requiring a need to change traditional passive learning methodologies to an active multisensory experimental learning methodology. The objective of this study was to compare a computer game-based learning method with a traditional learning method, regarding learning gains and knowledge retention, as means of teaching head and neck Anatomy and Physiology to Speech-Language and Hearing pathology undergraduate students. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 2 | 29% |
United Kingdom | 1 | 14% |
Italy | 1 | 14% |
Australia | 1 | 14% |
Unknown | 2 | 29% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 57% |
Scientists | 2 | 29% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 7 | 1% |
Australia | 3 | <1% |
Malaysia | 3 | <1% |
United States | 2 | <1% |
Netherlands | 1 | <1% |
Korea, Republic of | 1 | <1% |
Italy | 1 | <1% |
Chile | 1 | <1% |
Germany | 1 | <1% |
Other | 7 | 1% |
Unknown | 485 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 84 | 16% |
Student > Ph. D. Student | 67 | 13% |
Student > Bachelor | 64 | 13% |
Student > Doctoral Student | 39 | 8% |
Researcher | 35 | 7% |
Other | 110 | 21% |
Unknown | 113 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 73 | 14% |
Computer Science | 66 | 13% |
Medicine and Dentistry | 54 | 11% |
Nursing and Health Professions | 27 | 5% |
Psychology | 23 | 4% |
Other | 134 | 26% |
Unknown | 135 | 26% |