An Empirical Investigation of Reasons Influencing Student Acceptance and Rejection of Mobile Learning Apps Usage
Authors : Mahmood Al-Bashayreh, Dmaithan Almajali, Ahmad Altamimi, Ra’ed Masa’deh, Manaf Al-Okaily
Abstract : Sustainable learning and education (SLE) is a relatively new ideology based on sustainability principles and developed in response to the United Nations’ recently proclaimed Sustainable Development Goals (SDGs). As a result, technologies should be adopted to equip educational institutions with the tools necessary to attain SLE. Recently, the coronavirus (COVID-19) pandemic has affected educational systems globally, leading them to embrace more innovative technological methods to meet academic demands while maintaining SLE principles. Mobile learning apps (MLA) refers to using the unique capabilities of mobile apps to engage and collaborate towards establishing robust online learning. However, the effectiveness of MLA depends on learners’ acceptance. Therefore, the purpose of this study is to investigate the factors that could affect MLA acceptance. In order to analyze the collected data from 415 Jordanian students among schools and universities, structural equation modeling (SEM) was used. The empirical findings confirm that perceived usefulness and perceived ease of use are significantly influenced by self-efficacy and perceived compatibility. Furthermore, perceived usefulness is significantly influenced by perceived convenience and perceived ease of use. Additionally, perceived enjoyment significantly influences the behavioral intention to use MLA. On the other hand, perceived compatibility has no significant influence on perceived enjoyment. Finally, perceived ease of use, perceived usefulness, and perceived compatibility have no significant effect on behavioral intention to use MLA. This study addresses a critical research gap in the distance learning acceptance literature by proposing an exhaustive model in the post-COVID-19 era that can help to improve students’ performance and outcomes in Jordanian schools and universities.
Keywords : sustainable learning; mobile learning apps; distance learning acceptance; technology acceptance model; structural equation modeling; social learning theory; innovation diffusion theory
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Adopting the cybersecurity concepts into curriculum: the potential effects on students’ cybersecurity knowledge
Authors : Mohammad Azzeh, Ahmad Mousa Altamimi, Mahmood Albashayreh, Mohammad A AL-Oudat
Abstract : This study examines the effect of adopting cybersecurity concepts on the IT curriculum and determines the potential effect on students' knowledge of cybersecurity practices and level of awareness. To this end, a pilot study was first conducted to measure the current level of cybersecurity awareness. The results revealed that students do not have much knowledge of Cybersecurity. Thus, a four-step approach was proposed to infuse the relevant cybersecurity topics in five matched courses based on the latest Cybersecurity curricular guidelines (CSEC2017). A sample of 42 students was selected purposively without prior knowledge of Cybersecurity and divided identically into experimental and control groups. Students in the experimental group were asked to take five consecutive courses over five semesters. In each course, groups went through a pre-test for the infused topics. Then, the experimental group taught the corresponding infused topics. A post-test was administered to both groups at the end of each course, and the t-test was conducted. The results found significant differences between marks of prior and post-tests for 11 out of 14 infused topics. These satisfactory results would encourage universities to infuse cybersecurity concepts into their curriculum.
Keywords : "Curricular guidelines; Cybersecurity; Cybersecurity awareness; Knowledge improvement; Theories of learning "
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Blockchain technology adoption for sustainable learning
Authors : Ahmad Altamimi, Mahmood Al-Bashayreh, Mohammad AL-Oudat, Dmaithan Almajali
Abstract : Sustainable Learning and Education (SLE) is a recent emerging philosophy founded on sustainability principles and in response to the UN announced Sustainable Development Goals (SDGs). Therefore, technologies should be implemented to empower educational institutions to achieve SLE. This study aims to investigate the factors impacting the intentions of using blockchain technology for SLE in Jordanian universities. Accordingly, an extended Technology Acceptance Model (TAM) is proposed where five more factors are integrated. To this end, an extended model was proposed and validated using structural equation modeling based on 407 responses collected using an online survey. The results showed that adopted factors significantly impact blockchain use in SLE. We believe that the study finding would assist decision-makers in building systems for sustainable learning and education for the Jordanian higher educational institutes.
Keywords : Blockchain, Sustainable Learning, Education, Structural Equation Modeling, Technology Acceptance Model, TAM
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Examining stability of machine learning methods for predicting dementia at early phases of the disease
Authors : Sinan Faouri, Mahmood Ghaleb Al-Bashayreh, Mohammad Azzeh
Abstract : Dementia is a neuropsychiatric brain disorder that usually occurs when one or more brain cells stop working partially or at all. Diagnosis of this disorder in the early phases of the disease is a vital task to rescue patients’ lives from bad consequences and provide them with better healthcare. Machine learning methods have been proven to be accurate in predicting dementia in the early phases of the disease. The prediction of dementia depends heavily on the type of collected data which usually are gathered from Normalized Whole Brain Volume (nWBV) and Atlas Scaling Factor (ASF) which are normally measured and corrected from Magnetic Resonance Imaging (MRIs). Other biological features such as age and gender can also help in the diagnosis of dementia. Although many studies use machine learning for predicting dementia, we could not reach a conclusion on the stability of these methods for which one is more accurate under different experimental conditions. Therefore, this paper investigates the conclusion stability regarding the performance of machine learning algorithms for dementia prediction. To accomplish this, a large number of experiments were run using 7 machine learning algorithms and two feature reduction algorithms namely, Information Gain (IG) and Principal Component Analysis (PCA). To examine the stability of these algorithms, thresholds of feature selection were changed for the IG from 20% to 100% and the PCA dimension from 2 to 8. This has resulted in 7×9 + 7×7= 112 experiments. In each experiment, various classification evaluation data were recorded. The obtained results show that among seven algorithms the support vector machine and Naïve Bayes are the most stable algorithms while changing the selection threshold. Also, it was found that using IG would seem more efficient than using PCA for predicting Dementia. These promising results open the door to a new era of early prognosis of Alzheimer’s Disease and Related Dementias (ADRD).
Keywords : Dementia disorder, Machine learning, Stability analysis, Feature selection, Feature reduction
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Predicting students' learning styles using regression techniques
Authors : Ahmad Mousa Altamimi, Mohammad Azzeh, Mahmood Ghaleb Al-Bashayreh
Abstract : Traditional learning systems have responded quickly to the COVID pandemic and moved to online or distance learning. Online learning requires a personalization method because the interaction between learners and instructors is minimal, and learners have a specific learning method that works best for them. One of the personalization methods is detecting the learners' learning style. To detect learning styles, several works have been proposed using classification techniques. However, the current detection models become ineffective when learners have no dominant style or a mix of learning styles. Thus, the objective of this study is twofold. Firstly, constructing a prediction model based on regression analysis provides a probabilistic approach for inferring the preferred learning style. Secondly, comparing regression models and classification models for detecting learning style. To ground our conceptual model, a set of machine learning algorithms have been implemented based on a dataset collected from a sample of 72 students using visual, auditory, reading/writing, and kinesthetic (VARK's) inventory questionnaire. Results show that regression techniques are more accurate and representative for real-world scenarios than classification algorithms, where students might have multiple learning styles but with different probabilities. We believe that this research will help educational institutes to engage learning styles in the teaching process.
Keywords : Classification techniques,Learning styles,Regression analysis,VARK
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A comprehensive acceptance model for smart home services
Authors : A. Al-Husamiyah, Mahmood Ghaleb Al-Bashayreh
Abstract : Smart home services (SHSs) afford users an effective lifestyle management system, which provides human-oriented networking of smart devices and applications that enable users to control their homes from anywhere at any time. Despite the benefits of SHSs, however, their acceptance is very low. There remains a gap in the literature in terms of a comprehensive model that addresses users’ intention to use SHSs. To address this gap, the present study explored the factors that influence SHS acceptance among users based on well-established theoretical frameworks, such as the technology acceptance model, innovation diffusion theory, and the theory of planned behavior. To this end, the study integrated four additional factors, namely, perceived convenience, perceived connectedness, perceived cost, and perceived privacy risk, into the exploration and carried out structural equation modeling to quantitatively determine the effects of these factors. Questionnaires were administered to 750 users. The findings indicated that perceived compatibility, perceived convenience, perceived connectedness, perceived cost, perceived behavioral control with perceived usefulness, and perceived ease of use directly and indirectly exerted a significant influence on users’ intention to use SHSs.
Keywords : Smart Home Services, Technology Acceptance Model, Innovation Diffusion Theory, Theory of Planned Behavior
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Evaluating the reusability of OLAPSec framework: A multilayer security framework for OLAP systems
Authors : A. M. Altamimi, Mahmood Ghaleb Al-Bashayreh
Abstract : Securing the Access to Online Analytical Processing (OLAP) systems have become an increasingly important as such systems almost always house confidential and sensitive data that must be restricted to authorized users. A primary limitation of current security systems is that they are designed on top of a very specific data model. This can produce complex and error prone mappings to the elements of other OLAP systems. In addition, constructing comprehensive security systems that allow defining and associating security with an intuitive conceptual OLAP data model is a very complex process. To simplify the development process of security systems, one can consider the using of application frameworks. In this regards, many studies have been proposed frameworks to achieve the aforementioned goal. However, none of them has considered the reusability in its design or development process despite the fact that reusability is one of the main characteristics of successful application framework designs. Having said that, OLAPSec framework was developed to simplify the development process taking into account the reusability concept. This paper investigates the design of this framework in terms of the reusability evaluation method. To this end, empirical experiments have been conducted using well-known tools. Results showed that the framework design satisfies the reusability concept.
Keywords : OLAP, OLAPSec Framework, Reusability Evaluation, Security Framework.
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Implementing Security for Multidimensional Expression Queries
Authors : Ahmad Mousa Altamimi, Mahmood Ghaleb Albashayreh
Abstract : As the security takes center stage in the recent years, most important projects underway are those associated within security. Organizations collect and process data to operate their day-to-day business successfully. Such data is stored in enterprises data warehouses and presented so that users can make decisions more easily. Online Analytical Processing (OLAP) is the prevalent component of these systems where data is organized in the form of multidimensional representation known as a data cube. A specialized query language called multidimensional expression (MDX) is then used with specific syntax and semantics for manipulating OLAP cubes. However, MDX users can override- either intentionally or unintentionally - the security policy of the system to disclose sensitive information and breach an individual’s privacy. In this paper, we present a framework that removes security threats by re-writing MDX queries to ensure consistent data accessing. Experimental results demonstrate that security can be ensured without affecting the usefulness of OLAP systems.
Keywords : OLAP, data cube, MDX, data privacy, security polices, query rewriting
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Integrable Framework for Securing Multidimensional Data with MDX
Authors : AHMAD MOUSA ALTAMIMI, MAHMOOD GHALEB ALBASHAYREH
Abstract : Online Analytical Processing (OLAP) has become an increasingly important and prevalent component of enterprise Decision Support Systems. OLAP is associated with a data model known as a cube, a multidimensional representation of the core measures and relationships within the associated organization. To manipulating the multidimensional data stored in OLAP cubes, a specialized query language called Multidimensional Expressions (MDX) is used with specific syntax and semantics. However, MDX user can override- either intentionally or unintentionally - the security policy of the system to disclose sensitive information and breach an individual’s privacy. In this paper, we present a framework that eliminates such threat by providing query re-writing rules to ensure consistent data accessing for MDX users. Specifically, the framework can be integrated on top of OLAP server to restrict an unauthorized access to OLAP elements.
Keywords : OLAP, data Cube, MDX, data privacy and security, security polices, query rewriting
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Domain model validation of context-aware mobile patient monitoring systems
Authors : Mahmood Ghaleb Al-Bashayreh
Abstract : Existing literature on designing Context-aware Mobile Patient Monitoring Frameworks (CMPMF) in the biomedical informatics domain recognizes the need to identify the common requirements of the domain. However, the literature on this topic is fragmented and the domain requirements of Context-aware Mobile Patient Monitoring Systems (CMPMS), which are required to develop CMPMF, have not been identified. To address this gap in knowledge, a domain model of CMPMS is implemented and validated in this paper. The domain model is validated by consultant physicians as domain experts and three CaMPaMS prototypes for monitoring patients with hypertension, epilepsy, or diabetes. The validated domain model provides significant results which can be used to enhance the design of CMPMF. The majority of the medical experts consulted agreed that the proposed domain model is complete, correct, and representative of the domain requirements. In addition, the model meets practical requirements for monitoring chronic diseases such as hypertension, diabetes and epilepsy. The results contribute to the improvement of software engineering practices and enhance productivity by increasing our understanding of the CMPMS domain.
Keywords : domain model validationcontext-aware mobile patient monitoring systemsapplication frameworksexpert review.
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Evaluating the Reusability of Application Frameworks Based on Software Metrics
Authors : Mahmood Ghaleb Al-Bashayreh, Ahmaed Altamimi
Abstract : -
Keywords : -
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Evaluating the reusability of mobile patient monitoring systems framework
Authors : Mahmood Ghaleb Al-Bashayreh, A. Altamimi
Abstract : Mobile Patient Monitoring Systems (MPMS) enable the patients with chronic diseases to monitor themselves during their daily lives. However, the development of MPMS is very complex. To overcome this problem, the MPMS framework was introduced as an ideal reuse technique to overcome the development complexity of MPMS. While a few studies have designed such frameworks, reusability was neither considered in the design of these frameworks nor evaluated. This is despite the fact that reusability is among the primary characteristics that distinguish successful frameworks. Therefore, the primary objective of this paper is to investigate the design of MPMS framework taking into account the reusability concept and to evaluate the reusability of a presented MPMS framework. To achieve this objective, the framework reusability evaluation method was used. The results show that the framework reusability is satisfied.
Keywords : Measurement,Monitoring,Couplings,Design methodology,Indexes,Context,Mobile communication
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A Reusable Application Framework for Context-Aware Mobile Patient Monitoring Systems
Authors : Mahmood Ghaleb Al-Bashayreh
Abstract : "The development of Context-aware Mobile Patient Monitoring Systems (CaMPaMS) using wireless sensors is very complex. To overcome this problem, the Context-aware Mobile Patient Monitoring Framework (CaMPaMF) was introduced as an ideal reuse technique to enhance the overall development quality and overcome the development complexity of CaMPaMS. While a few studies have designed reusable CaMPaMFs, there has not been enough study looking at how to design and evaluate application frameworks based on multiple reusability aspects and multiple reusability evaluation approaches. Furthermore, there also has not been enough study that integrates the identified domain requirements of CaMPaMS. Therefore, the aim of this research is to design a reusable CaMPaMF for CaMPaMS. To achieve this aim, twelve methods were used: literature search, content analysis, concept matrix, feature modelling, use case assortment, domain expert review, model-driven architecture approach, static code analysis, reusability model approach, prototyping, amount of reuse calculation, and software expert review. The primary outcome of this research is a reusable CaMPaMF designed and evaluated to capture reusability from different aspects. CaMPaMF includes a domain model validated by consultant physicians as domain experts, an architectural model, a platform-independent model, a platform-specific model validated by software expert review, and three CaMPaMS prototypes for monitoring patients with hypertension, epilepsy, or diabetes, and multiple reusability evaluation approaches. This research contributes to the body of software engineering knowledge, particularly in the area of design and evaluation of reusable application frameworks. Researchers can use the domain model to enhance the understanding of CaMPaMS domain requirements, thus extend it with new requirements. Developers can also reuse and extend CaMPaMF to develop various CaMPaMS for different diseases. Software industries can also reuse CaMPaMF to reduce the need to consult domain experts and the time required to build CaMPaMS from scratch, thus reducing the development cost and time. "
Keywords : Reusable application framework, Multiple reusability evaluation approaches, Multiple reusability aspects, Mobile patient monitoring systems
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Context-Aware Mobile Patient Monitoring Framework Development: An Architectural Design
Authors : Mahmood Ghaleb Al-Bashayreh, N. L. Hashim, O. T. Khorma
Abstract : The latest developments in mobile and sensor technologies propose new domain requirements that must be satisfied in designing a Context-Aware Mobile Patient Monitoring Framework (CMPMF) to develop Context-Aware Mobile Patient Monitoring Systems (CMPMS). While previous studies identify the need to construct architectural designs that satisfy these emerging requirements, the literature about this topic is scant. To address this gap in knowledge, an architectural model of CMPMF is constructed in this paper to address the emerging domain requirements of CMPMS. The resulting architectural model can be used by researchers to design enhanced CMPMF to develop CMPMS.
Keywords : -
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Software frameworks in biomedical informatics: a systematic review and research agenda
Authors : Mahmood Ghaleb Al-Bashayreh, N. L. Hashim, O. T. Khorma
Abstract : (MPMF) is an emerging study in the biomedical informatics domain. However, literature about this topic remains fragmented: first, there are no categories in the literature to characterize these MPMF; second, there are no success factors that must be satisfied to enhance the design of these MPMF; third, there is a need for a research agenda that provides a foundation for further research and development to enhance the design of these MPMF. To address this gap, this paper reviews software frameworks in general and conducts a systematic review of 20 designed frameworks in the biomedical informatics domain. Consequently, this paper provides three results. First, it identifies a number of categories to be used to gain an intensive and extensive understanding of the designed MPMF. Second, it identifies a set of success factors, called Factors of Successful Application Frameworks (FSAF), to be used to enhance the design of MPMF. Third, it presents a research agenda that shows lacks and gaps in the designed MPMF and provides a foundation to help researchers design enhanced MPMF. The results show that, as of yet, there is no study integrating all the FSAF to enhance the design of MPMF. Therefore, there is a need for further research to enhance the existing MPMF design.
Keywords : —Mobile Patient Monitoring Frameworks(MPMF), Mobile Patient Monitoring Systems (MPMS),Factors of Successful Application Frameworks (FSAF),Wireless sensors, framework design
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Context-Aware Mobile Patient Monitoring Frameworks: A Systematic Review and Research Agenda
Authors : Mahmood Ghaleb Al-Bashayreh, N. L. Hashim, O. T. Khorma
Abstract : Monitoring Frameworks (CMPMF) is an emerging study in the biomedical informatics domain. However, literature on this topic is fragmented: first, there are no categories in the literature to characterize these CMPMF; second, there are no success factors that must be satisfied to enhance the design of these CMPMF; third, there is a need for a research agenda that provides a foundation for further research and development to enhance the design of these CMPMF. To address this gap, this paper is a review of context-aware frameworks in general and a systematic review of 10 designed context-aware frameworks in the biomedical informatics domain. Consequently, in this paper, three results are provided. First, a number of categories to be used to gain an intensive and extensive understanding of the designed CMPMF are identified. Second, a set of success factors, called Factors of Successful Context-aware Application Frameworks (FSCAF) are identified, to be used to enhance the design of CMPMF. Third, a research agenda that shows lacks and gaps in the designed CMPMF and provides a foundation to help researchers to design enhanced CMPMF is presented. The results show that no study integrated all of the FSCAF to enhance the design of CMPMF. Therefore, there is a need for further research to enhance the design of the existing CMPMF.
Keywords : Context-aware Mobile Patient Monitoring Frameworks (CMPMF), Mobile Patient Monitoring Systems (MPMS), Factors of Successful Context-aware Application Frameworks (FSCAF), wireless sensors, framework design
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Context-Aware Mobile Patient Monitoring Framework Development: A Detailed Design
Authors : Mahmood Ghaleb Al-Bashayreh, N. L. Hashim, O. T. Khorma
Abstract : Recent advances in mobile and wireless sensor technologies have introduced new domain requirements that must be satisfied in designing a Context-Aware Mobile Patient Monitoring Framework (CMPMF) to develop Context-Aware Mobile Patient Monitoring Systems (CMPMS). Although there have been few studies that designed CMPMFs to develop CMPMS, they have severe deficiencies in considering the emerging domain requirements. To address this gap, a detailed design of CMPMF is presented based on Model Driven Architecture (MDA). The resulting Platform Independent Model (PIM), Platform Specific Model (PSM), and code show that the detailed design has satisfied the domain requirements of CMPMF to develop CMPMS.
Keywords : Context-Aware Mobile Patient Monitoring Framework (CMPMF)Context-Aware Mobile Patient Monitoring Systems (CMPMS)Model Driven Architecture (MDA)application framework developmentdetailed design
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The Requirements to Enhance the Design of Context-Aware Mobile Patient Monitoring Systems Using Wireless Sensors
Authors : Mahmood Ghaleb Al-Bashayreh, N. L. Hashim, O. T. Khorma
Abstract : Designing and developing Context-aware Mobile Patient Monitoring Systems (CMPMS) using wireless sensors are emerging in the biomedical informatics domain. However, previous studies related to this topic are fragmented. In fact, the literature has no standard types and sources of context information. These types and sources are required to design such systems. In addition, there is no standard context reasoning approach to facilitate the development of these systems. To address these absences, this paper is a survey of the CMPMS in the biomedical informatics to identify potential types and sources of context information as well as the context reasoning approaches that are required to be addressed in designing and developing such systems. The results are expected to help researchers to enhance the design and facilitate the development of CMPMS. /p>
Keywords : context awareness computing,mobile patient monitoring systems,context information types,context information sources,context reasoning approach,requirements
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A survey on success factors to design application frameworks to develop mobile patient monitoring systems
Authors : Mahmood Ghaleb Al-Bashayreh, N. L. Hashim, O. T. Khorma
Abstract : Design of application frameworks to develop mobile patient monitoring systems using wireless sensors (MPMS) is an emerging in the biomedical informatics domain. However, literature about this topic remains fragmented. In fact, there are no categories in the literature to characterize these frameworks. In addition, there are no success factors to identify lacks and gaps in their design. To address these gaps, this paper is a survey of application frameworks in the biomedical informatics domain to identify the categories that can be used to gain an intensive and extensive understanding of previous studies. Then, use these categories to identify the Factors of Successful Application Frameworks (FSAF), which is a set of designs and domain requirements that must be satisfied to design application frameworks to develop MPMS. The results are expected to help researchers identify lacks and gaps in the literature to design enhanced application frameworks to develop MPMS.
Keywords : bioinformatics,biomedical communication,medical computing,patient monitoring,wireless sensor networks
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Feature model to design application framework for context-aware mobile patient monitoring systems
Authors : Mahmood Ghaleb Al-Bashayreh, N. L. Hashim, O. T. Khorma
Abstract : The objective of this paper is to present a feature model as a main deliverable of a domain analysis for context-aware Mobile Patient Monitoring Systems (MPMS). This model is a part of ongoing work to design an application framework to develop context-aware MPMS. These systems will enable elderly populations and patients with chronic diseases to undertake monitoring of themselves during their daily life. Unfortunately, developing these systems is very complex. An application framework, as an ideal reuse technique, is one of the most suitable solutions to simplify the development of such systems and overcome their development complexity. The scope of this paper is limited to construction process for context-aware MPMS feature model. The expected benefits of the resulted model are twofold. First, it enhances the understanding of the domain of context-aware MPMS. Second, it supports designing frameworks that satisfy the main characteristics of application frameworks, which are framework extensibility and reusability.
Keywords : diseases,geriatrics,mobile computing,patient monitoring
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Towards successful design of context-aware application frameworks to develop Mobile Patient Monitoring Systems using wireless sensors
Authors : Mahmood Ghaleb Al-Bashayreh, N. L. Hashim, O. T. K.
Abstract : This paper is a study of; software framework designs, context awareness computing, and Mobile Patient Monitoring Systems (MPMS) using wireless sensors, to find out the lacks and the gaps in the literature. To achieve this, a set of success factors are used to characterize and analyze these frameworks. These success factors are introduced in this paper as a set of designs and domain requirements that must be addressed to design extensible and reusable context-aware application frameworks to develop MPMS using wireless sensors. To enhance the existing frameworks design, a research agenda is presented as the primary objective of this paper. This research agenda is expected to help researchers fill the gaps in the designed frameworks.
Keywords : Context,Software,Monitoring,Medical services,Context-aware services,Wireless sensor networks,Sensors
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A survey on success factors to design context-aware frameworks to develop mobile patient monitoring systems
Authors : Mahmood Ghaleb Al-Bashayreh, N. L. Hashim, O. T. Khorma
Abstract : Design of context-aware application frameworks to develop mobile patient monitoring systems using wireless sensors (MPMS) is an emerging in the biomedical informatics domain. However, literature about this topic remains fragmented. In fact, there are no categories in the literature to characterize these frameworks. In addition, there are no success factors to identify lacks and gaps in their design. To address these gaps, this paper is a survey of the context-aware frameworks in the biomedical informatics domain to identify the categories that can be used to gain an intensive and extensive understanding of previous studies. Then, use these categories to identify the Factors of Successful Context-aware Application Frameworks (FSCAF), which are a set of designs and domain requirements that must be satisfied to design context-aware frameworks to develop MPMS. The results are expected to help researchers identify lacks and gaps in the literature to design enhanced context-aware frameworks to develop MPMS.
Keywords : Context,Monitoring,Sensors,Context-aware services,Wireless sensor networks,Wireless communication,Mobile communication
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Developing an Extended Technology Acceptance Model: Doctors’ Acceptance of Electronic Medical Records in Jordan
Authors : F. Baharom, O.T. Khorma, H. Mohd, Mahmood Ghaleb Al-Bashayreh
Abstract : The purpose of this study is to construct doctors’ acceptance model of Electronic Medical Records (EMR) in private hospitals.The model extends the Technology Acceptance Model (TAM) with two factors of Individual Capabilities; Self-Efficacy (SE) and Perceived Behavioral Control (PBC).The initial findings proposes additional factors over the original factors in TAM making Perceived Usefulness (PU), Perceived Ease Of Use (PEOU), Behavioral Intention to use (BI), SE, and PBC working in incorporation.A cross-sectional survey was used in which data were gathered by a personal administered questionnaire as the instrument for data collection.Doctors of public hospitals were involved in this study which proves that all factors are reliable.
Keywords : " Electronic Medical Recors (EMR), Technology Acceptance Model (TAM)"
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