Academic practitioners need to enlighten their teaching practice by integrating learning theories... more Academic practitioners need to enlighten their teaching practice by integrating learning theories into their instructional courses. However, traditional educational philosophies such as behaviourism, constructivism, and cognitivism are considered as the foundation of teaching and learning, they do not argue intrinsically as instructional design in the 21st century. Continues evaluation of learning for each generation holds pedagogy in high standard. Learning theories has undergone many changes, and therefore guidance in modern educational theory is important for continues learning. Lifelong learning, rapid development of science and technology principle stimulates educational growth, and requires new learning methodologies. Learning in the 21st century has undergone profound changes, due to an influence in mobile tools and new technologies. The study reviews traditional learning theories, including connectivism with viewpoint for the 21st century using scoping review to probe streng...
The Health Industry is facing two major issues: Integration and Interoperability. Integration of ... more The Health Industry is facing two major issues: Integration and Interoperability. Integration of data, which is a process to combine data from different sources into a unified view, has become a serious problem as the volume of data and rate of information exchange increases. The problem of interoperability among healthcare systems models exists; due to working groups defining architectures and information models; implying meaning of data varies in the applications. The research use scoping review methodological analysis, to investigate and recommend how healthcare industry can do integration and interoperability among the heterogeneous systems. Semantic interoperability means guaranteeing exact meaning of exchanged information in an understandable format by any other applications that may use a different standard or model. The benefit of using semantic approaches is that they don’t replace the current integration technologies, databases and applications, but add a new layer to the ...
The Prediction and Coronary Heart Disease-Heart AttackCMBEBIH 2019Detection Of Heart Disease Usin... more The Prediction and Coronary Heart Disease-Heart AttackCMBEBIH 2019Detection Of Heart Disease Using Decision Tree TechniquePrediction of Coronary Heart Disease Using Metabolite-based Machine Learning ModelsMachine Learning and Data Analytics for Predicting, Managing, and Monitoring DiseaseHandbook of Research on Disease Prediction Through Data Analytics and Machine LearningIntelligent Decision Support SystemsThe Impact of Digital Technologies on Public Health in Developed and Developing CountriesAdvances in Computerized Analysis in Clinical and Medical ImagingImage Processing for Automated Diagnosis of Cardiac DiseasesMaking heart diseases detectable. The invention of an algorithm for systematically predictions2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)Advances in Computing Systems and ApplicationsCoronary Heart Disease PredictionInformation and Communication Technology for Competitive Strategies2019 1st International Conference on Innovations i...
Data mining in education is used to study data and discover new patterns that can be used for dec... more Data mining in education is used to study data and discover new patterns that can be used for decision making. The classification algorithms are applied on educational data set for predicting work integrated learning placement based on student performance. J48, Bayes Net, Naive Bayes, Simple Cart, and REPTREE algorithms are applied to student data set to predict their performance for placement in the work place. The decision tree from the prediction shows likely students ready for placement in the work environment. The research compares different data mining techniques for classifying student's based on data set for the semester before final examinations.
The educational management decision-makers (EMDMs) have no clear understanding of the available E... more The educational management decision-makers (EMDMs) have no clear understanding of the available EDM techniques and variables to consider in selecting EDM techniques appropriate for their decision making needs. This research proposes taxonomy of EDM techniques through utilisation of recommender systems (RSs) to address EDM technique selection challenges. The RS approach addresses the need for a decision support system guide process of selecting appropriate EDM technique. Furthermore, the research presents systematic review of different approaches in recommender system such as content-based, collaborative filtering, hybrid, and knowledge-based recommender system. The research study looks at current existing challenges of different recommender system including proposed technique to solve the problems. Knowledge-based recommender system seems to solve problems encountered by content-based recommender system and collaborative filtering recommender system. The research further discus how ...
The South African competitive economy requires computing graduates to have an ability to apply pr... more The South African competitive economy requires computing graduates to have an ability to apply problem solving skills, knowledge, and experience within a dynamic ICT work environment. The qualifications in computing provide foundation for knowledge and skill development, and its only through Work Integrated Learning (WIL) that students acquire practical experience, entrepreneurship skills and engage in professional computing while preparing for their future career transitions. South Africa has a 25 percent unemployment rate, and the government alone, will not be able to win the battle. The integration of theory and practice in learning can occur through a range of approaches, apart from formal and informal work placements, including Virtual or Simulated WIL. The research article provides a mentorship model in simulated work integrated learning to enable students to acquire practical experience, entrepreneurial skills and engage in professional computing while preparing for career tr...
The major difficulty faced by potential graduates in the software development diploma in South Af... more The major difficulty faced by potential graduates in the software development diploma in South African universities of technology is lack of placement for work integrated learning. Most companies do not have anyone with time to properly mentor a potential graduate. The student challenge is transition from the academic environment to the workplace without graduate attributes, such as employability skills, kaizen theory and productivity theory. The universities on their own cannot prepare a student for the real world of work without engaging external industry partners. The research study provides a mentorship framework to operationalize simulated work integrated learning to incorporate concrete experience, reflective observation, abstract conceptualization and active experimentation in writing applications according to industry outcomes. The research results present a case study of the Tshwane University of Technology in the implementation of the mentorship framework for simulated work integrated learning.
Academic practitioners need to enlighten their teaching practice by integrating learning theories... more Academic practitioners need to enlighten their teaching practice by integrating learning theories into their instructional courses. However, traditional educational philosophies such as behaviourism, constructivism, and cognitivism are considered as the foundation of teaching and learning, they do not argue intrinsically as instructional design in the 21st century. Continues evaluation of learning for each generation holds pedagogy in high standard. Learning theories has undergone many changes, and therefore guidance in modern educational theory is important for continues learning. Lifelong learning, rapid development of science and technology principle stimulates educational growth, and requires new learning methodologies. Learning in the 21st century has undergone profound changes, due to an influence in mobile tools and new technologies. The study reviews traditional learning theories, including connectivism with viewpoint for the 21st century using scoping review to probe streng...
The Health Industry is facing two major issues: Integration and Interoperability. Integration of ... more The Health Industry is facing two major issues: Integration and Interoperability. Integration of data, which is a process to combine data from different sources into a unified view, has become a serious problem as the volume of data and rate of information exchange increases. The problem of interoperability among healthcare systems models exists; due to working groups defining architectures and information models; implying meaning of data varies in the applications. The research use scoping review methodological analysis, to investigate and recommend how healthcare industry can do integration and interoperability among the heterogeneous systems. Semantic interoperability means guaranteeing exact meaning of exchanged information in an understandable format by any other applications that may use a different standard or model. The benefit of using semantic approaches is that they don’t replace the current integration technologies, databases and applications, but add a new layer to the ...
The Prediction and Coronary Heart Disease-Heart AttackCMBEBIH 2019Detection Of Heart Disease Usin... more The Prediction and Coronary Heart Disease-Heart AttackCMBEBIH 2019Detection Of Heart Disease Using Decision Tree TechniquePrediction of Coronary Heart Disease Using Metabolite-based Machine Learning ModelsMachine Learning and Data Analytics for Predicting, Managing, and Monitoring DiseaseHandbook of Research on Disease Prediction Through Data Analytics and Machine LearningIntelligent Decision Support SystemsThe Impact of Digital Technologies on Public Health in Developed and Developing CountriesAdvances in Computerized Analysis in Clinical and Medical ImagingImage Processing for Automated Diagnosis of Cardiac DiseasesMaking heart diseases detectable. The invention of an algorithm for systematically predictions2019 3rd International Conference on Trends in Electronics and Informatics (ICOEI)Advances in Computing Systems and ApplicationsCoronary Heart Disease PredictionInformation and Communication Technology for Competitive Strategies2019 1st International Conference on Innovations i...
Data mining in education is used to study data and discover new patterns that can be used for dec... more Data mining in education is used to study data and discover new patterns that can be used for decision making. The classification algorithms are applied on educational data set for predicting work integrated learning placement based on student performance. J48, Bayes Net, Naive Bayes, Simple Cart, and REPTREE algorithms are applied to student data set to predict their performance for placement in the work place. The decision tree from the prediction shows likely students ready for placement in the work environment. The research compares different data mining techniques for classifying student's based on data set for the semester before final examinations.
The educational management decision-makers (EMDMs) have no clear understanding of the available E... more The educational management decision-makers (EMDMs) have no clear understanding of the available EDM techniques and variables to consider in selecting EDM techniques appropriate for their decision making needs. This research proposes taxonomy of EDM techniques through utilisation of recommender systems (RSs) to address EDM technique selection challenges. The RS approach addresses the need for a decision support system guide process of selecting appropriate EDM technique. Furthermore, the research presents systematic review of different approaches in recommender system such as content-based, collaborative filtering, hybrid, and knowledge-based recommender system. The research study looks at current existing challenges of different recommender system including proposed technique to solve the problems. Knowledge-based recommender system seems to solve problems encountered by content-based recommender system and collaborative filtering recommender system. The research further discus how ...
The South African competitive economy requires computing graduates to have an ability to apply pr... more The South African competitive economy requires computing graduates to have an ability to apply problem solving skills, knowledge, and experience within a dynamic ICT work environment. The qualifications in computing provide foundation for knowledge and skill development, and its only through Work Integrated Learning (WIL) that students acquire practical experience, entrepreneurship skills and engage in professional computing while preparing for their future career transitions. South Africa has a 25 percent unemployment rate, and the government alone, will not be able to win the battle. The integration of theory and practice in learning can occur through a range of approaches, apart from formal and informal work placements, including Virtual or Simulated WIL. The research article provides a mentorship model in simulated work integrated learning to enable students to acquire practical experience, entrepreneurial skills and engage in professional computing while preparing for career tr...
The major difficulty faced by potential graduates in the software development diploma in South Af... more The major difficulty faced by potential graduates in the software development diploma in South African universities of technology is lack of placement for work integrated learning. Most companies do not have anyone with time to properly mentor a potential graduate. The student challenge is transition from the academic environment to the workplace without graduate attributes, such as employability skills, kaizen theory and productivity theory. The universities on their own cannot prepare a student for the real world of work without engaging external industry partners. The research study provides a mentorship framework to operationalize simulated work integrated learning to incorporate concrete experience, reflective observation, abstract conceptualization and active experimentation in writing applications according to industry outcomes. The research results present a case study of the Tshwane University of Technology in the implementation of the mentorship framework for simulated work integrated learning.
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