The Bring Your Own Device (BYOD) initiative has been adopted by many schools due to its cost savi... more The Bring Your Own Device (BYOD) initiative has been adopted by many schools due to its cost saving and comfort of using personal devices advantages. This study investigated teachers' behaviors and perceptions towards the use of BYOD in the classroom and the features that impact their perceived ease of use, perceived usefulness, and actual use of BYOD by using the Technology Acceptance Model (TAM) and extending it with external variables. Seventy teachers from a K-12 private school in the UAE completed a questionnaire based on TAM. Results indicated that teachers have positive attitudes towards the use of BYOD in the classroom. Results also indicated that fitting learning objectives impacted perceived usefulness, while access to technology and self-efficacy impacted perceived ease of use. Fitting learning objectives, self-efficacy and access to technology directly impacted the actual use of BYOD. Moreover, regression analysis provided further validation of the original TAM.
2020 Fourth International Conference on Inventive Systems and Control (ICISC), 2020
Recently, Artificial Intelligence (AI) has become a trend and part of our typical mainstream albe... more Recently, Artificial Intelligence (AI) has become a trend and part of our typical mainstream albeit its existence ages ago. AI is at the top of the list of trending technologies and one of the hottest topics. In the coming decades, the world is going in the direction of increasing automation and cognitive technologies. This study attempts to explore and discuss the tipping points and evolution of AI. Further, it envisions the future impact that the advances of AI would have on occupations in various sectors such as technological unemployment. The study also tackles on the ethical and policy concerns involved in this upcoming AI evolution. Organizations should be able to manage both humans and robots at the same time. Software engineers’ roles will be completely changed. Thus, we need to redesign education in a way that can make the future generations ready for the future that has a totally different requirement than ours. Policies should also be in place. If the AI applications are controlled by particular parties, AI will only represent that narrow and biased specific segment. The researchers should play an important role to make AI a beneficial invention rather than a risk to humanity.
Curriculum mapping is a method in which teachers record the operational curriculum to be used for... more Curriculum mapping is a method in which teachers record the operational curriculum to be used for ongoing curriculum review and development. Therefore, schools aim to establish a fluid system for maintaining and updating the curriculum. As teachers are the main practitioners of curriculum mapping, this study aimed to investigate the factors that impact teachers’ attitudes towards an online curriculum mapping tool. In this study we employedthe Technology Acceptance Model (TAM) to examine the attitudes of the academic staff in a private school in Dubai towards the use of a curriculum mapping tool and whether the staff role impacted their perceptions. Also, we examined the factors that impact perceived ease of use and perceived usefulness of the curriculum mapping tool. The external factor considered as a determinant of perceived usefulness is relevance, which is studied in terms of long-term planning, short-term planning, curriculum alignment, teachers’ collaboration, and students’ achievement. The factors considered as determinants of perceived usefulness are training and time. The results indicated that the staff did not have significant positive attitudes towards the tool. Also, while perceived ease of use and actual usage were significantly high, perceived usefulness was significantly low. The results also showed that there were no differences in perceptions according to the staff role except for perceived usefulness, which was significantly higher for leaders compared to teachers. Results also indicated that perceived short-term planning and teacher collaboration were good predictors of perceived usefulness, while perceived training and time were good predictors of perceived ease of use. The results reflect a shallow understanding of the theory that underlies the use of the curriculum mapping tool. School leaders should dedicate time and resources to extend communication about the purpose of curriculum mapping and how the mapping tool can help the process.
Advances in intelligent systems and computing, Aug 29, 2018
Sentiment resources are essential components for developing applications for Sentiment Analysis (... more Sentiment resources are essential components for developing applications for Sentiment Analysis (SA). Common publicly available datasets such as products, restaurants and movies reviews usually fulfil the researchers needs in order to conduct their experiments. However, for specific domains, the needed dataset sources could be difficult to find. This signifies the need to construct domain specific datasets and lexicons which are vital to evaluate SA tasks. In this paper, we present the work that has been done in order to produce a unique dataset that consists of government smart apps domain aspects and opinion words. Additionally, we explain the approach that was carried out to measure the sentiment scores to opinion words and build the desired lexicons. A general-purpose data annotation and preparation tool was developed for facilitating the development of SA lexical resources and dataset for government smart apps domain.
Customs duty obligations are primary revenue sources for nations. Any under or over value can res... more Customs duty obligations are primary revenue sources for nations. Any under or over value can result in economic instability. The role of customs is safeguarding society and local businesses from criminally guided value manipulations. In this paper, a cluster-based approach to detect the customs commodity value manipulation is proposed. This approach represents the shipment related information into 3-dimensional space to determine any wrongdoing through two stages comprising distance- and density-based techniques. This representation simplifies the process by identifying relationships among the various shipment features. These two stages work together in order to analyse the shipments information and determine any abnormal behaviour for these shipments. The results of the proposed approach achieved an accuracy of 86%. This technique will provide much needed capabilities to protect the revenue and securing the trade supply chain from illegitimate activities.
Children with autism spectrum disorder (ASD) usually show little interest in academic activities ... more Children with autism spectrum disorder (ASD) usually show little interest in academic activities and may display disruptive behavior when presented with assignments. Research indicates that incorporating motivational variables during interventions results in improvements in behavior and academic performance. However, the impact of such motivational variables varies between children. In this paper, we aim to solve the problem of selecting the right motivator for children with ASD using Reinforcement Learning by adapting to the most influential factors impacting the effectiveness of the contingent motivator used. We model the task of selecting a motivator as a Markov Decision Process problem. The states, actions and rewards design consider the factors that impact the effectiveness of a motivator based on Applied Behavior Analysis as well as learners' individual preferences. We use a Q-Learning algorithm to solve the modelled problem. Our proposed solution is then implemented as a mobile application developed for special education plans coordination. To evaluate the motivator selection feature, we conduct a study involving a group of teachers and therapists and assess how the added feature aids the participants in their decisionmaking process of selecting a motivator. Preliminary results indicated that the motivator selection feature improved the usability of the mobile app. Analysis of the algorithm performance showed promising results and indicated improvement of the recommendations over time.
Good coordination among school staff and families leads to increased learning quality and academi... more Good coordination among school staff and families leads to increased learning quality and academic success for students with special education needs and disabilities (SEND). This pilot study aims to investigate the use of mobile technology for the coordination of therapy and learning for students with SEND. This study first follows a participatory design methodology to identify the key design principles required to inform the design of a coordination mobile app for special education. Then, a mobile app (IEP-Connect) is designed and implemented with the aim of facilitating information sharing between different parties involved in the intervention of students with SEND. The proposed app uses the Individualized Educational Plan (IEP) as the focal point of coordination. The evaluation of the app focused on students with autism spectrum disorder (ASD) as their learning requires sharing information from different distributed sources. Results from the usability study revealed that the app ...
The Bring Your Own Device (BYOD) initiative has been adopted by many schools due to its cost savi... more The Bring Your Own Device (BYOD) initiative has been adopted by many schools due to its cost saving and comfort of using personal devices advantages. This study investigated teachers' behaviors and perceptions towards the use of BYOD in the classroom and the features that impact their perceived ease of use, perceived usefulness, and actual use of BYOD by using the Technology Acceptance Model (TAM) and extending it with external variables. Seventy teachers from a K-12 private school in the UAE completed a questionnaire based on TAM. Results indicated that teachers have positive attitudes towards the use of BYOD in the classroom. Results also indicated that fitting learning objectives impacted perceived usefulness, while access to technology and self-efficacy impacted perceived ease of use. Fitting learning objectives, self-efficacy and access to technology directly impacted the actual use of BYOD. Moreover, regression analysis provided further validation of the original TAM.
Curriculum mapping is a method in which teachers record the operational curriculum to be used for... more Curriculum mapping is a method in which teachers record the operational curriculum to be used for ongoing curriculum review and development. Therefore, schools aim to establish a fluid system for maintaining and updating the curriculum. As teachers are the main practitioners of curriculum mapping, this study aimed to investigate the factors that impact teachers’ attitudes towards an online curriculum mapping tool. In this study we employedthe Technology Acceptance Model (TAM) to examine the attitudes of the academic staff in a private school in Dubai towards the use of a curriculum mapping tool and whether the staff role impacted their perceptions. Also, we examined the factors that impact perceived ease of use and perceived usefulness of the curriculum mapping tool. The external factor considered as a determinant of perceived usefulness is relevance, which is studied in terms of long-term planning, short-term planning, curriculum alignment, teachers’ collaboration, and students’ achievement. The factors considered as determinants of perceived usefulness are training and time. The results indicated that the staff did not have significant positive attitudes towards the tool. Also, while perceived ease of use and actual usage were significantly high, perceived usefulness was significantly low. The results also showed that there were no differences in perceptions according to the staff role except for perceived usefulness, which was significantly higher for leaders compared to teachers. Results also indicated that perceived short-term planning and teacher collaboration were good predictors of perceived usefulness, while perceived training and time were good predictors of perceived ease of use. The results reflect a shallow understanding of the theory that underlies the use of the curriculum mapping tool. School leaders should dedicate time and resources to extend communication about the purpose of curriculum mapping and how the mapping tool can help the process.
Social media plays a critical role in the public sector as it allows the government to interact w... more Social media plays a critical role in the public sector as it allows the government to interact with the citizens. With the United Arab Emirates being active on social media platforms, this study aims to identify the level of citizen engagement in Dubai government’s Twitter through the use of data mining techniques. Post engagement is the total number of citizens’ interactions with a tweet and can be measured using different tweet attributes including retweets, mentions, and likes. Moreover, this study investigates the impact of the twitter post characteristics on the citizens’ engagements level. Thus, we collected, prepared and processed 74,037 tweets that represents all tweets for Dubai government twitter accounts during 2018. These tasks were followed by statistical analyses of the impact of post characteristics on the citizens’ engagement level. Next, we implemented various machine learning models to evaluate the performance of using the post characteristics and post content to predict the engagement level of citizens. Results indicate that citizen engagement level in Dubai government’s Twitter is significantly impacted by all post characteristics. It is also revealed in the study that citizen engagement is higher during weekdays compared to weekends. Furthermore, the machine learning models achieved promising results to predict the citizens’ engagement with highest accuracy for Random Forest and Linear Support Vector Machine of 78.3% and 78.2% respectively.
Recently, Artificial Intelligence (AI) has become a trend and part of our typical mainstream albe... more Recently, Artificial Intelligence (AI) has become a trend and part of our typical mainstream albeit its existence ages ago. AI is at the top of the list of trending technologies and one of the hottest topics. In the coming decades, the world is going in the direction of increasing automation and cognitive technologies. This study attempts to explore and discuss the tipping points and evolution of AI. Further, it envisions the future impact that the advances of AI would have on occupations in various sectors such as technological unemployment. The study also tackles on the ethical and policy concerns involved in this upcoming AI evolution. Organizations should be able to manage both humans and robots at the same time. Software engineers’ roles will be completely changed. Thus, we need to redesign education in a way that can make the future generations ready for the future that has a totally different requirement than ours. Policies should also be in place. If the AI applications are ...
Digital resources such as smart applications reviews and online feedback information are importan... more Digital resources such as smart applications reviews and online feedback information are important sources to seek customers’ feedback and input. This paper aims to help government entities gain insights on the needs and expectations of their customers. Towards this end, we propose an aspect-based sentiment analysis hybrid approach that integrates domain lexicons and rules to analyse the entities smart apps reviews. The proposed model aims to extract the important aspects from the reviews and classify the corresponding sentiments. This approach adopts language processing techniques, rules, and lexicons to address several sentiment analysis challenges, and produce summarized results. According to the reported results, the aspect extraction accuracy improves significantly when the implicit aspects are considered. Also, the integrated classification model outperforms the lexicon-based baseline and the other rules combinations by 5% in terms of Accuracy on average. Also, when using the ...
This study uses the Technology Acceptance Model (TAM) to explore the factors that impact special ... more This study uses the Technology Acceptance Model (TAM) to explore the factors that impact special education teachers’ acceptance and actual use of technology. TAM is used as the foundation for generating the hypothesis and developing the conceptual framework for the study. Twenty-four (n=24) special education teachers in a private school in the United Arab Emirates (UAE) participated in this study by answering an electronic questionnaire that included items related to Perceived Usefulness, Perceived Ease of Use, Attitudes Towards Usage, Behavioural Intention to Use, Access to Technology, Job Relevance, Self-Efficacy, Time, and Actual Usage. Preliminary findings indicate that special education teachers have positive attitudes towards the use of technology. Self-efficacy, time and access to technology were found to significantly impact actual use of technology. The research results provide initial insights on special education teachers attitudes towards using technology in their practice as well as the factors that may facilitate or hinder their actual use. Implications for practice and future research are discussed.
The Bring Your Own Device (BYOD) initiative has been adopted by many schools due to its cost savi... more The Bring Your Own Device (BYOD) initiative has been adopted by many schools due to its cost saving and comfort of using personal devices advantages. This study investigated teachers' behaviors and perceptions towards the use of BYOD in the classroom and the features that impact their perceived ease of use, perceived usefulness, and actual use of BYOD by using the Technology Acceptance Model (TAM) and extending it with external variables. Seventy teachers from a K-12 private school in the UAE completed a questionnaire based on TAM. Results indicated that teachers have positive attitudes towards the use of BYOD in the classroom. Results also indicated that fitting learning objectives impacted perceived usefulness, while access to technology and self-efficacy impacted perceived ease of use. Fitting learning objectives, self-efficacy and access to technology directly impacted the actual use of BYOD. Moreover, regression analysis provided further validation of the original TAM.
2020 Fourth International Conference on Inventive Systems and Control (ICISC), 2020
Recently, Artificial Intelligence (AI) has become a trend and part of our typical mainstream albe... more Recently, Artificial Intelligence (AI) has become a trend and part of our typical mainstream albeit its existence ages ago. AI is at the top of the list of trending technologies and one of the hottest topics. In the coming decades, the world is going in the direction of increasing automation and cognitive technologies. This study attempts to explore and discuss the tipping points and evolution of AI. Further, it envisions the future impact that the advances of AI would have on occupations in various sectors such as technological unemployment. The study also tackles on the ethical and policy concerns involved in this upcoming AI evolution. Organizations should be able to manage both humans and robots at the same time. Software engineers’ roles will be completely changed. Thus, we need to redesign education in a way that can make the future generations ready for the future that has a totally different requirement than ours. Policies should also be in place. If the AI applications are controlled by particular parties, AI will only represent that narrow and biased specific segment. The researchers should play an important role to make AI a beneficial invention rather than a risk to humanity.
Curriculum mapping is a method in which teachers record the operational curriculum to be used for... more Curriculum mapping is a method in which teachers record the operational curriculum to be used for ongoing curriculum review and development. Therefore, schools aim to establish a fluid system for maintaining and updating the curriculum. As teachers are the main practitioners of curriculum mapping, this study aimed to investigate the factors that impact teachers’ attitudes towards an online curriculum mapping tool. In this study we employedthe Technology Acceptance Model (TAM) to examine the attitudes of the academic staff in a private school in Dubai towards the use of a curriculum mapping tool and whether the staff role impacted their perceptions. Also, we examined the factors that impact perceived ease of use and perceived usefulness of the curriculum mapping tool. The external factor considered as a determinant of perceived usefulness is relevance, which is studied in terms of long-term planning, short-term planning, curriculum alignment, teachers’ collaboration, and students’ achievement. The factors considered as determinants of perceived usefulness are training and time. The results indicated that the staff did not have significant positive attitudes towards the tool. Also, while perceived ease of use and actual usage were significantly high, perceived usefulness was significantly low. The results also showed that there were no differences in perceptions according to the staff role except for perceived usefulness, which was significantly higher for leaders compared to teachers. Results also indicated that perceived short-term planning and teacher collaboration were good predictors of perceived usefulness, while perceived training and time were good predictors of perceived ease of use. The results reflect a shallow understanding of the theory that underlies the use of the curriculum mapping tool. School leaders should dedicate time and resources to extend communication about the purpose of curriculum mapping and how the mapping tool can help the process.
Advances in intelligent systems and computing, Aug 29, 2018
Sentiment resources are essential components for developing applications for Sentiment Analysis (... more Sentiment resources are essential components for developing applications for Sentiment Analysis (SA). Common publicly available datasets such as products, restaurants and movies reviews usually fulfil the researchers needs in order to conduct their experiments. However, for specific domains, the needed dataset sources could be difficult to find. This signifies the need to construct domain specific datasets and lexicons which are vital to evaluate SA tasks. In this paper, we present the work that has been done in order to produce a unique dataset that consists of government smart apps domain aspects and opinion words. Additionally, we explain the approach that was carried out to measure the sentiment scores to opinion words and build the desired lexicons. A general-purpose data annotation and preparation tool was developed for facilitating the development of SA lexical resources and dataset for government smart apps domain.
Customs duty obligations are primary revenue sources for nations. Any under or over value can res... more Customs duty obligations are primary revenue sources for nations. Any under or over value can result in economic instability. The role of customs is safeguarding society and local businesses from criminally guided value manipulations. In this paper, a cluster-based approach to detect the customs commodity value manipulation is proposed. This approach represents the shipment related information into 3-dimensional space to determine any wrongdoing through two stages comprising distance- and density-based techniques. This representation simplifies the process by identifying relationships among the various shipment features. These two stages work together in order to analyse the shipments information and determine any abnormal behaviour for these shipments. The results of the proposed approach achieved an accuracy of 86%. This technique will provide much needed capabilities to protect the revenue and securing the trade supply chain from illegitimate activities.
Children with autism spectrum disorder (ASD) usually show little interest in academic activities ... more Children with autism spectrum disorder (ASD) usually show little interest in academic activities and may display disruptive behavior when presented with assignments. Research indicates that incorporating motivational variables during interventions results in improvements in behavior and academic performance. However, the impact of such motivational variables varies between children. In this paper, we aim to solve the problem of selecting the right motivator for children with ASD using Reinforcement Learning by adapting to the most influential factors impacting the effectiveness of the contingent motivator used. We model the task of selecting a motivator as a Markov Decision Process problem. The states, actions and rewards design consider the factors that impact the effectiveness of a motivator based on Applied Behavior Analysis as well as learners' individual preferences. We use a Q-Learning algorithm to solve the modelled problem. Our proposed solution is then implemented as a mobile application developed for special education plans coordination. To evaluate the motivator selection feature, we conduct a study involving a group of teachers and therapists and assess how the added feature aids the participants in their decisionmaking process of selecting a motivator. Preliminary results indicated that the motivator selection feature improved the usability of the mobile app. Analysis of the algorithm performance showed promising results and indicated improvement of the recommendations over time.
Good coordination among school staff and families leads to increased learning quality and academi... more Good coordination among school staff and families leads to increased learning quality and academic success for students with special education needs and disabilities (SEND). This pilot study aims to investigate the use of mobile technology for the coordination of therapy and learning for students with SEND. This study first follows a participatory design methodology to identify the key design principles required to inform the design of a coordination mobile app for special education. Then, a mobile app (IEP-Connect) is designed and implemented with the aim of facilitating information sharing between different parties involved in the intervention of students with SEND. The proposed app uses the Individualized Educational Plan (IEP) as the focal point of coordination. The evaluation of the app focused on students with autism spectrum disorder (ASD) as their learning requires sharing information from different distributed sources. Results from the usability study revealed that the app ...
The Bring Your Own Device (BYOD) initiative has been adopted by many schools due to its cost savi... more The Bring Your Own Device (BYOD) initiative has been adopted by many schools due to its cost saving and comfort of using personal devices advantages. This study investigated teachers' behaviors and perceptions towards the use of BYOD in the classroom and the features that impact their perceived ease of use, perceived usefulness, and actual use of BYOD by using the Technology Acceptance Model (TAM) and extending it with external variables. Seventy teachers from a K-12 private school in the UAE completed a questionnaire based on TAM. Results indicated that teachers have positive attitudes towards the use of BYOD in the classroom. Results also indicated that fitting learning objectives impacted perceived usefulness, while access to technology and self-efficacy impacted perceived ease of use. Fitting learning objectives, self-efficacy and access to technology directly impacted the actual use of BYOD. Moreover, regression analysis provided further validation of the original TAM.
Curriculum mapping is a method in which teachers record the operational curriculum to be used for... more Curriculum mapping is a method in which teachers record the operational curriculum to be used for ongoing curriculum review and development. Therefore, schools aim to establish a fluid system for maintaining and updating the curriculum. As teachers are the main practitioners of curriculum mapping, this study aimed to investigate the factors that impact teachers’ attitudes towards an online curriculum mapping tool. In this study we employedthe Technology Acceptance Model (TAM) to examine the attitudes of the academic staff in a private school in Dubai towards the use of a curriculum mapping tool and whether the staff role impacted their perceptions. Also, we examined the factors that impact perceived ease of use and perceived usefulness of the curriculum mapping tool. The external factor considered as a determinant of perceived usefulness is relevance, which is studied in terms of long-term planning, short-term planning, curriculum alignment, teachers’ collaboration, and students’ achievement. The factors considered as determinants of perceived usefulness are training and time. The results indicated that the staff did not have significant positive attitudes towards the tool. Also, while perceived ease of use and actual usage were significantly high, perceived usefulness was significantly low. The results also showed that there were no differences in perceptions according to the staff role except for perceived usefulness, which was significantly higher for leaders compared to teachers. Results also indicated that perceived short-term planning and teacher collaboration were good predictors of perceived usefulness, while perceived training and time were good predictors of perceived ease of use. The results reflect a shallow understanding of the theory that underlies the use of the curriculum mapping tool. School leaders should dedicate time and resources to extend communication about the purpose of curriculum mapping and how the mapping tool can help the process.
Social media plays a critical role in the public sector as it allows the government to interact w... more Social media plays a critical role in the public sector as it allows the government to interact with the citizens. With the United Arab Emirates being active on social media platforms, this study aims to identify the level of citizen engagement in Dubai government’s Twitter through the use of data mining techniques. Post engagement is the total number of citizens’ interactions with a tweet and can be measured using different tweet attributes including retweets, mentions, and likes. Moreover, this study investigates the impact of the twitter post characteristics on the citizens’ engagements level. Thus, we collected, prepared and processed 74,037 tweets that represents all tweets for Dubai government twitter accounts during 2018. These tasks were followed by statistical analyses of the impact of post characteristics on the citizens’ engagement level. Next, we implemented various machine learning models to evaluate the performance of using the post characteristics and post content to predict the engagement level of citizens. Results indicate that citizen engagement level in Dubai government’s Twitter is significantly impacted by all post characteristics. It is also revealed in the study that citizen engagement is higher during weekdays compared to weekends. Furthermore, the machine learning models achieved promising results to predict the citizens’ engagement with highest accuracy for Random Forest and Linear Support Vector Machine of 78.3% and 78.2% respectively.
Recently, Artificial Intelligence (AI) has become a trend and part of our typical mainstream albe... more Recently, Artificial Intelligence (AI) has become a trend and part of our typical mainstream albeit its existence ages ago. AI is at the top of the list of trending technologies and one of the hottest topics. In the coming decades, the world is going in the direction of increasing automation and cognitive technologies. This study attempts to explore and discuss the tipping points and evolution of AI. Further, it envisions the future impact that the advances of AI would have on occupations in various sectors such as technological unemployment. The study also tackles on the ethical and policy concerns involved in this upcoming AI evolution. Organizations should be able to manage both humans and robots at the same time. Software engineers’ roles will be completely changed. Thus, we need to redesign education in a way that can make the future generations ready for the future that has a totally different requirement than ours. Policies should also be in place. If the AI applications are ...
Digital resources such as smart applications reviews and online feedback information are importan... more Digital resources such as smart applications reviews and online feedback information are important sources to seek customers’ feedback and input. This paper aims to help government entities gain insights on the needs and expectations of their customers. Towards this end, we propose an aspect-based sentiment analysis hybrid approach that integrates domain lexicons and rules to analyse the entities smart apps reviews. The proposed model aims to extract the important aspects from the reviews and classify the corresponding sentiments. This approach adopts language processing techniques, rules, and lexicons to address several sentiment analysis challenges, and produce summarized results. According to the reported results, the aspect extraction accuracy improves significantly when the implicit aspects are considered. Also, the integrated classification model outperforms the lexicon-based baseline and the other rules combinations by 5% in terms of Accuracy on average. Also, when using the ...
This study uses the Technology Acceptance Model (TAM) to explore the factors that impact special ... more This study uses the Technology Acceptance Model (TAM) to explore the factors that impact special education teachers’ acceptance and actual use of technology. TAM is used as the foundation for generating the hypothesis and developing the conceptual framework for the study. Twenty-four (n=24) special education teachers in a private school in the United Arab Emirates (UAE) participated in this study by answering an electronic questionnaire that included items related to Perceived Usefulness, Perceived Ease of Use, Attitudes Towards Usage, Behavioural Intention to Use, Access to Technology, Job Relevance, Self-Efficacy, Time, and Actual Usage. Preliminary findings indicate that special education teachers have positive attitudes towards the use of technology. Self-efficacy, time and access to technology were found to significantly impact actual use of technology. The research results provide initial insights on special education teachers attitudes towards using technology in their practice as well as the factors that may facilitate or hinder their actual use. Implications for practice and future research are discussed.
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