Determining the number of participants needed for the usability evaluation of e‐learning resources: A Monte Carlo simulation
The usability of computer interfaces has a major influence on learning. Optimising the usability of e‐learning resources is therefore essential. However, this may be neglected because of time and monetary constraints. User testing is a common approach to usability evaluation and involves studying ty...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Davids, Mogamat Razeen [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2015 |
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| Rechteinformationen: |
Nutzungsrecht: © 2015 British Educational Research Association |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: British journal of educational technology - Oxford : Wiley-Blackwell, 1971, 46(2015), 5, Seite 1051-1055 |
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| Übergeordnetes Werk: |
volume:46 ; year:2015 ; number:5 ; pages:1051-1055 |
| Links: |
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| DOI / URN: |
10.1111/bjet.12336 |
|---|
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OLC1962353419 |
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| 520 | |a The usability of computer interfaces has a major influence on learning. Optimising the usability of e‐learning resources is therefore essential. However, this may be neglected because of time and monetary constraints. User testing is a common approach to usability evaluation and involves studying typical end‐users interacting with the application being tested. Determining the minimum number of users that are required for such an evaluation is important as it has a direct bearing on the costs and time requirements. This issue has long been a subject of debate and the widely cited recommendation of five users being enough has been questioned. We conducted a usability evaluation of an e‐learning resource for electrolyte and acid‐base disorders by studying the interaction of medical doctors with the application. A total of 15 serious usability problems were detected, most of these related to an interactive treatment simulation. With this report, we are making available the data on the detection of serious usability problems by each of our participants. We have used these data to run a M onte C arlo simulation and examine how many users would be sufficient to test our application. The simulation revealed that we would have required 10 participants to detect 80% of the serious usability problems. The MATLAB ® code for running the simulation is supplied, as are our calculations of problem discovery rates. The e‐learning resource which was evaluated is freely available, together with a revised version with all identified usability problems addressed. | ||
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10.1111/bjet.12336 doi PQ20160617 (DE-627)OLC1962353419 (DE-599)GBVOLC1962353419 (PRQ)c1886-8c0dfe1d3f180219fbaecafa5c8dfb44a029ec0f195179b1769fa3c23a4433f30 (KEY)0003094520150000046000501051determiningthenumberofparticipantsneededfortheusab DE-627 ger DE-627 rakwb eng 370 DNB Davids, Mogamat Razeen verfasserin aut Determining the number of participants needed for the usability evaluation of e‐learning resources: A Monte Carlo simulation 2015 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier The usability of computer interfaces has a major influence on learning. Optimising the usability of e‐learning resources is therefore essential. However, this may be neglected because of time and monetary constraints. User testing is a common approach to usability evaluation and involves studying typical end‐users interacting with the application being tested. Determining the minimum number of users that are required for such an evaluation is important as it has a direct bearing on the costs and time requirements. This issue has long been a subject of debate and the widely cited recommendation of five users being enough has been questioned. We conducted a usability evaluation of an e‐learning resource for electrolyte and acid‐base disorders by studying the interaction of medical doctors with the application. A total of 15 serious usability problems were detected, most of these related to an interactive treatment simulation. With this report, we are making available the data on the detection of serious usability problems by each of our participants. We have used these data to run a M onte C arlo simulation and examine how many users would be sufficient to test our application. The simulation revealed that we would have required 10 participants to detect 80% of the serious usability problems. The MATLAB ® code for running the simulation is supplied, as are our calculations of problem discovery rates. The e‐learning resource which was evaluated is freely available, together with a revised version with all identified usability problems addressed. Nutzungsrecht: © 2015 British Educational Research Association Monte Carlo simulation Distance learning Usability Educational technology Online instruction Harvey, Justin oth Halperin, Mitchell L oth Chikte, Usuf M. E oth Enthalten in British journal of educational technology Oxford : Wiley-Blackwell, 1971 46(2015), 5, Seite 1051-1055 (DE-627)129290467 (DE-600)120352-6 (DE-576)014471787 0007-1013 nnns volume:46 year:2015 number:5 pages:1051-1055 http://dx.doi.org/10.1111/bjet.12336 Volltext http://onlinelibrary.wiley.com/doi/10.1111/bjet.12336/abstract http://search.proquest.com/docview/1703564426 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-BIF GBV_ILN_70 AR 46 2015 5 1051-1055 |
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British journal of educational technology |
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British journal of educational technology |
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Determining the number of participants needed for the usability evaluation of e‐learning resources: A Monte Carlo simulation |
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| title_full |
Determining the number of participants needed for the usability evaluation of e‐learning resources: A Monte Carlo simulation |
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Davids, Mogamat Razeen |
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British journal of educational technology |
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Davids, Mogamat Razeen |
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Davids, Mogamat Razeen |
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10.1111/bjet.12336 |
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370 |
| title_sort |
determining the number of participants needed for the usability evaluation of e‐learning resources: a monte carlo simulation |
| title_auth |
Determining the number of participants needed for the usability evaluation of e‐learning resources: A Monte Carlo simulation |
| abstract |
The usability of computer interfaces has a major influence on learning. Optimising the usability of e‐learning resources is therefore essential. However, this may be neglected because of time and monetary constraints. User testing is a common approach to usability evaluation and involves studying typical end‐users interacting with the application being tested. Determining the minimum number of users that are required for such an evaluation is important as it has a direct bearing on the costs and time requirements. This issue has long been a subject of debate and the widely cited recommendation of five users being enough has been questioned. We conducted a usability evaluation of an e‐learning resource for electrolyte and acid‐base disorders by studying the interaction of medical doctors with the application. A total of 15 serious usability problems were detected, most of these related to an interactive treatment simulation. With this report, we are making available the data on the detection of serious usability problems by each of our participants. We have used these data to run a M onte C arlo simulation and examine how many users would be sufficient to test our application. The simulation revealed that we would have required 10 participants to detect 80% of the serious usability problems. The MATLAB ® code for running the simulation is supplied, as are our calculations of problem discovery rates. The e‐learning resource which was evaluated is freely available, together with a revised version with all identified usability problems addressed. |
| abstractGer |
The usability of computer interfaces has a major influence on learning. Optimising the usability of e‐learning resources is therefore essential. However, this may be neglected because of time and monetary constraints. User testing is a common approach to usability evaluation and involves studying typical end‐users interacting with the application being tested. Determining the minimum number of users that are required for such an evaluation is important as it has a direct bearing on the costs and time requirements. This issue has long been a subject of debate and the widely cited recommendation of five users being enough has been questioned. We conducted a usability evaluation of an e‐learning resource for electrolyte and acid‐base disorders by studying the interaction of medical doctors with the application. A total of 15 serious usability problems were detected, most of these related to an interactive treatment simulation. With this report, we are making available the data on the detection of serious usability problems by each of our participants. We have used these data to run a M onte C arlo simulation and examine how many users would be sufficient to test our application. The simulation revealed that we would have required 10 participants to detect 80% of the serious usability problems. The MATLAB ® code for running the simulation is supplied, as are our calculations of problem discovery rates. The e‐learning resource which was evaluated is freely available, together with a revised version with all identified usability problems addressed. |
| abstract_unstemmed |
The usability of computer interfaces has a major influence on learning. Optimising the usability of e‐learning resources is therefore essential. However, this may be neglected because of time and monetary constraints. User testing is a common approach to usability evaluation and involves studying typical end‐users interacting with the application being tested. Determining the minimum number of users that are required for such an evaluation is important as it has a direct bearing on the costs and time requirements. This issue has long been a subject of debate and the widely cited recommendation of five users being enough has been questioned. We conducted a usability evaluation of an e‐learning resource for electrolyte and acid‐base disorders by studying the interaction of medical doctors with the application. A total of 15 serious usability problems were detected, most of these related to an interactive treatment simulation. With this report, we are making available the data on the detection of serious usability problems by each of our participants. We have used these data to run a M onte C arlo simulation and examine how many users would be sufficient to test our application. The simulation revealed that we would have required 10 participants to detect 80% of the serious usability problems. The MATLAB ® code for running the simulation is supplied, as are our calculations of problem discovery rates. The e‐learning resource which was evaluated is freely available, together with a revised version with all identified usability problems addressed. |
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Determining the number of participants needed for the usability evaluation of e‐learning resources: A Monte Carlo simulation |
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http://dx.doi.org/10.1111/bjet.12336 http://onlinelibrary.wiley.com/doi/10.1111/bjet.12336/abstract http://search.proquest.com/docview/1703564426 |
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Harvey, Justin Halperin, Mitchell L Chikte, Usuf M. E |
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