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The Case for IT Training within Guinea’s Ministry
of Agriculture: Evaluating Performance and
Usability
Maurice Dawson, University of Missouri - Saint Louis
Damon Walker, University of Missouri - Saint Louis
Simon Cleveland, City University of Seattle
Abstract
This article critically analyzes a project executed for the The John Ogonowski and Doug Bereuter
Farmer-to-Farmer Program which provides technical assistance with volunteers from the United States to
farmers, agricultural institutions, and government organizations involved in agriculture such as the Ministry
of Agriculture. In Guinea, the focus is on computer literacy as more sectors of agriculture rely on computing
technology. These skills needs range from basic computing tasks such as creating databases to more
advanced items such as programming Global Positional Systems. This study looks at findings, based on the
analysis of the System Usability Scale results from a sample of 16 participants. The findings demonstrated
that the training proved to be effective for the participants and continued training is necessary. As a result
of training 62.5% of the participants ranked above average, as opposed to 43.6% prior to training.
Study
Background
Background Research Information
COMPUTING ENVIRONMENT: The training
occurred in a training lab on a desktop computer
with the Windows 7 Operating System (OS).
Microsoft Office 2013 was the installed
productivity suite. The machine had an Intel(R)
Core™ 2 Duo CPU on a 32 OS. The computer
laboratory had two rows of four devices on each
side.
TARGET POPULATION & SIZE: The target
population for this study consisted of 16
participants from Conakry. However, the course
contained 20 total course participants but only 16
surveys were fully completed. Each participant
was familiar with the use of a computer. Six
participant ages ranged from 18-29 which were
classified as youth. The remainder were
classified as adults per societal norms in Guinea.
System
Usability Scale
● To determine usability, integration,
and need for technical support, this
study used the System Usability
Scale (SUS). SUS was created in
1986 by John Brooke (System
Usability Scale, 2014).
● The scale has been used to
evaluate a wide range of products
and services, including software,
mobile devices, hardware,
websites, and applications.
● The reliability of SUS has been
demonstrated with smaller sample
sizes (Bangor et al., 2009).
Instructional Challenges
A difficulty with content delivery was maintaining Internet access at the government
location. Internet speeds across the continent vary and inconsistent from region to
region (Gelvanovska, Rogy, & Rossotto, 2014; Oyelaran-Oyeyinka & Lal, 2005). To
address this issue for training module requiring the use of the Internet, students
brought in access WiFi data cards. There was also a language barrier between the
Anglophone trainer and 16 Francophone student participants. A translator was used
to mitigate this significant risk. The module lectures were presented in 30 seconds
to a period of two minutes to allow for proper translation of technical material. Due
to a limited number of available desktops two learners were on a computer rotating
use, and with one taking detailed notes.
Results
Before Training
The preliminary testing revealed that
56% of the participants scored at the
D level or below (as noted in the
figure).
This suggests that the over half of the
participants had a low level of
perceived ease-of-use with the system.
Furthermore, questions four and ten of
the SUS scale, which indicated the
level of difficulty with learnability and
usability with the system, indicated that
participants required a lot of support
from technical staff as well as a lot of
training before getting comfortable
with the system
After Training
After the training was conducted, the
SUS scale test was administered once
again. This time, 63% of the
participants scored in the range of C
or higher, suggesting the training
helped them achieve greater
perceived ease-of-use with the
system (see results in the figure).
Additionally, the total scores for
questions four and ten decreased,
which suggests that the participants
achieved greater learnability and
usability of the system.
Conclusion
According to the SUS anything above 68% is above average. The overall results before training was 66.7%. The average of
the SUS at 71.1% after training, proves its usefulness for the participants. Participants need more training to become proficient
users of the system. With the continued training of the trainers, they will be able to provide more effective training to the field
users as well as the farmers that look to provide an analysis of their crops. Overall, the training proved to be effective for the
participants and continued training is necessary. As a result of training, 62.5% of the participants ranked above average, as
opposed to 43.6% prior to training. Additionally, the SUS scores measuring difficult with learnability and usability, while higher
before the training, decreased after the training, which indicates that the participants achieved greater learnability and
usability of the system as a result of the provided training.
This study has limitations; the information may not be sufficient to generalize. Therefore, caution should be taken when using
the data outside the context conducted in this study. The data could vary considerably between different regions within
Guinea to include industries such as education. Future studies should be directed towards looking at different groups within
the ministry to include conducting a longitudinal survey.

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The Case for IT Training within Guinea’s Ministry of Agriculture: Evaluating Performance and Usability

  • 1. The Case for IT Training within Guinea’s Ministry of Agriculture: Evaluating Performance and Usability Maurice Dawson, University of Missouri - Saint Louis Damon Walker, University of Missouri - Saint Louis Simon Cleveland, City University of Seattle
  • 2. Abstract This article critically analyzes a project executed for the The John Ogonowski and Doug Bereuter Farmer-to-Farmer Program which provides technical assistance with volunteers from the United States to farmers, agricultural institutions, and government organizations involved in agriculture such as the Ministry of Agriculture. In Guinea, the focus is on computer literacy as more sectors of agriculture rely on computing technology. These skills needs range from basic computing tasks such as creating databases to more advanced items such as programming Global Positional Systems. This study looks at findings, based on the analysis of the System Usability Scale results from a sample of 16 participants. The findings demonstrated that the training proved to be effective for the participants and continued training is necessary. As a result of training 62.5% of the participants ranked above average, as opposed to 43.6% prior to training.
  • 4. Background Research Information COMPUTING ENVIRONMENT: The training occurred in a training lab on a desktop computer with the Windows 7 Operating System (OS). Microsoft Office 2013 was the installed productivity suite. The machine had an Intel(R) Core™ 2 Duo CPU on a 32 OS. The computer laboratory had two rows of four devices on each side. TARGET POPULATION & SIZE: The target population for this study consisted of 16 participants from Conakry. However, the course contained 20 total course participants but only 16 surveys were fully completed. Each participant was familiar with the use of a computer. Six participant ages ranged from 18-29 which were classified as youth. The remainder were classified as adults per societal norms in Guinea.
  • 5. System Usability Scale ● To determine usability, integration, and need for technical support, this study used the System Usability Scale (SUS). SUS was created in 1986 by John Brooke (System Usability Scale, 2014). ● The scale has been used to evaluate a wide range of products and services, including software, mobile devices, hardware, websites, and applications. ● The reliability of SUS has been demonstrated with smaller sample sizes (Bangor et al., 2009).
  • 6. Instructional Challenges A difficulty with content delivery was maintaining Internet access at the government location. Internet speeds across the continent vary and inconsistent from region to region (Gelvanovska, Rogy, & Rossotto, 2014; Oyelaran-Oyeyinka & Lal, 2005). To address this issue for training module requiring the use of the Internet, students brought in access WiFi data cards. There was also a language barrier between the Anglophone trainer and 16 Francophone student participants. A translator was used to mitigate this significant risk. The module lectures were presented in 30 seconds to a period of two minutes to allow for proper translation of technical material. Due to a limited number of available desktops two learners were on a computer rotating use, and with one taking detailed notes.
  • 8. Before Training The preliminary testing revealed that 56% of the participants scored at the D level or below (as noted in the figure). This suggests that the over half of the participants had a low level of perceived ease-of-use with the system. Furthermore, questions four and ten of the SUS scale, which indicated the level of difficulty with learnability and usability with the system, indicated that participants required a lot of support from technical staff as well as a lot of training before getting comfortable with the system
  • 9. After Training After the training was conducted, the SUS scale test was administered once again. This time, 63% of the participants scored in the range of C or higher, suggesting the training helped them achieve greater perceived ease-of-use with the system (see results in the figure). Additionally, the total scores for questions four and ten decreased, which suggests that the participants achieved greater learnability and usability of the system.
  • 10. Conclusion According to the SUS anything above 68% is above average. The overall results before training was 66.7%. The average of the SUS at 71.1% after training, proves its usefulness for the participants. Participants need more training to become proficient users of the system. With the continued training of the trainers, they will be able to provide more effective training to the field users as well as the farmers that look to provide an analysis of their crops. Overall, the training proved to be effective for the participants and continued training is necessary. As a result of training, 62.5% of the participants ranked above average, as opposed to 43.6% prior to training. Additionally, the SUS scores measuring difficult with learnability and usability, while higher before the training, decreased after the training, which indicates that the participants achieved greater learnability and usability of the system as a result of the provided training. This study has limitations; the information may not be sufficient to generalize. Therefore, caution should be taken when using the data outside the context conducted in this study. The data could vary considerably between different regions within Guinea to include industries such as education. Future studies should be directed towards looking at different groups within the ministry to include conducting a longitudinal survey.