Contextual Mobile Learning for professionals involving in " Smart City " (original) (raw)

Contextual Mobile Learning for professionals working in the “Smart City”

Interaction Design and Architecture(s)

In this study, we propose an innovative approach using the “Contextual Mobile Learning System” based on the “Electronic Performance Support System” (EPSS) to support efficient just-in-time learning for professionals working in the “Smart city”. In this paper, we present the principle and the structure of our contextual mobile learning system, which uses a search engine to find appropriate learning units in relation with working activities and conditions and the user’s / worker’s profile. We further discuss the proposed system structure, supportive process and context-driven engine. Finally, we describe a scenario using our contextual mobile learning system.

A Framework of Context-Aware Mobile Learning System for Professionals

2013 IEEE 13th International Conference on Advanced Learning Technologies, 2013

This paper proposes a framework for a professional context-aware mobile learning system. This system provides learning contents delivered via mobile devices and adapted to learning needs, personal characteristics and particular circumstances. Supported by this system, professionals will acquire personalized, just-in-time and problem-based learning contents in real working situations.

Future Context-aware Pervasive Learning Environment: Smart Campus

International Conference on Integration of Information …, 2007

Information technology has changed a lot the way of learning and specially, it has affected the distance learning. The learning and teaching technologies used in the past are vanishing now as the future seamless technologies (pervasive computing) are gaining much popularity and have proved themselves as the best supporting technologies to human beings in the daily life. The nature of this trend is evident in the multitude of definitions of seamless learning environment i.e. long distance learning etc. In this technological era the definition of distance learning has been changed as "the distance learning is the delivery of information/instruction to the right group at the right time in the right place, so the only pervasive computing provides such kind of services i.e. service of any type, by any vendor, at any time, any where and are even accessed by any operator at any platform. Another associated attribute of such an environment is the context-awareness, which is the ultimate for creating such a dynamic integrated system for learning. In this paper we have proposed a novel design of interactive pervasive learning environment. The focus is made on interaction, reliability, performance efficiency and precision of the applications/knowledge to be used in fulfilling the user request regarding learning. The proposed solution is actually a service oriented framework in which data mining is used for knowledge discovery, context is identified by using more precise approach, and then automatic service discovery, activation and execution takes place to facilitate the user in pervasive learning environment.

Serdica Journal of Computing LEARNING IN A SMART CITY ENVIRONMENT

2015

Advances in technology in recent years have changed the learning behaviours of learners and reshaped teaching methods and learning environments. This paper overviews a foundational framework and provides models for planning and implementing smart learning environments. Gart-ner's 2015 Hype Cycle for Emerging Technologies identifies the computing innovations such as Internet of Things, Advanced Analytics, Machine Learning, Wearables, etc., that organisations should monitor. Learners and students, being the future drivers of these industries, are the main human resource to fulfil the vacancies of these work forces. Constant improvements and re-evaluation of the curriculum has to be done regularly to keep the learners up-to-date in meeting the requirements of these industries and corporations. Universities benefit from these thinking-outside-the-box practices by equipping students with work force experience that involves more hands-on tasks with real-life infrastructures. The intro...

Learning in a Smart City Environment

Journal of Communication and Computer, 2016

Advances in technology in recent years have changed the learning behaviors of learners and reshaped teaching methods and learning environments. The purpose of this paper is to overview a foundational framework and provide models for the planning and implementation of smart learning environments. Introduction is focused on analysis of emerging industries and new types of jobs that are requiring future personnel to be well equipped to meet the need of the expansion requirements of these industries and keep up with their development needs. Gartner's 2015 Hype Cycle for Emerging Technologies identifies the computing innovations such as Internet of Things, Advanced Analytics, Machine Learning, Wearables etc. that organizations should monitor. Learners and students, being the future drivers of these industries, are the main human resource to fulfill the vacancies of these work forces. Constant improvements in and re-evaluation of the curriculum taught to the learners have to be done regularly to keep the learners up-to-date in fulfilling the requirements of these industries and corporations. Universities benefit from these thinking "out of the box practices" by equipping students with work force experience that involves more hands on task with real life infrastructures. Section 2 looks at future Internet domain landscape that comprises a great diversity of technology related topics involved in the implementation of Smart Learning Environments. The purpose of section 3 is to overview a foundational framework and major considerations for the planning and implementation of smart learning environments, behind which is the convergence of advances and developments in social constructivism, psychology, and technology. Section 4 introduces the smart learning models, which are developed to reflect the dynamic knowledge conversion processes in technology enabled smart learning environments. The last section presents a case study of a learning scenario entitled "Monitoring the environmental parameters in a Smart City" as an illustration of experimental learning on Internet of Things, which proofs the power of FORGE (forging online education through FIRE) FP7 project methodology and infrastructure for building remote labs and delivering them to students.

Just-in-time mobile learning model based on context awareness information

In urgent situations, the value of mobile learning is not only ubiquitous, perpetual availability, but just-in-time learning based on context aware information and guidance. Our proposed contribution is a model based on mobile-aware services that adapt to the learning environment, embracing contextual information, mirroring levels, guidance, and metacognitive support adaptable to learner self-regulation in specific crisis situations.

Advancement of Mobile Computing Application with Context-Aware in Higher Institutions

Mobile computing application with context-aware is widely used due to the potential of using context information to solve problem that are traditionally impossible. It utilizes pervasive and ubiquitous environment where devices, software agents and services interact through human needs. In this paper, advancement of mobile computing application with context-aware was carried out through literature review to investigate the contributions of previous studies and identified evaluation measures specifically in higher institutions. It also identifies contributions of research done so far with emphasis on education. Method of evaluation in the domain is equally identified to know area of future research. Search terms with relevant keywords were used to select primary studies that relate to the topic of discussion. Consequently, 23 context-aware studies were identified and analysed in education with respect to higher institutions. Ontology techniques was rarely utilized as only 3 are found in the studies. The application of the ontology to explicit representation of knowledge was still low. Information and service abundance is a major challenge in the society and world at large. Most research contributions presented still have shortcomings especially with the use of multi-agent concept as they were used by only 3 of the studies investigated for context-aware between 2017 and 2018 respectively. Based on this shortcoming, the identify gaps suggest further study.

On Learning in a Smart City Environment

Serdica Journal of Computing, 2016

Advances in technology in recent years have changed the learning behaviours of learners and reshaped teaching methods and learning environments. This paper overviews a foundational framework and provides models for planning and implementing smart learning environments. Gartner's 2015 Hype Cycle for Emerging Technologies identifies the computing innovations such as Internet of Things, Advanced Analytics, Machine Learning, Wearables, etc., that organisations should monitor. Learners and students, being the future drivers of these industries, are the main human resource to fulfil the vacancies of these work forces. Constant improvements and re-evaluation of the curriculum has to be done regularly to keep the learners up-to-date in meeting the requirements of these industries and corporations. Universities benefit from these thinking-outside-the-box practices by equipping students with work force experience that involves more hands-on tasks with real-life infrastructures. The introduction is focused on analysis of emerging industries and new types of jobs that require future

A Context-based Support System of Mobile Chinese Learning for Foreigners in China

Taking advantage of the improving Mobile Web technologies, mobile language-learning systems plays an important role for self-learning, especially in the case of working people. Nevertheless, existing systems do not support learners in studying or practicing language materials related with the current context. As it is known, the context related with surroundings can deepen the impressions and naturally explain the meanings of the sentences in a learner's memory, which leads to an easy and casual language-learning experience. To achieve this goal, a context-based support system of mobile Chinese learning for foreigners in China is proposed by this research. The system can provide a learner with Chinese-learning materials related with what he is doing or what he is going to do. Besides, it also can generally adapt to learners' profiles like many existing personalized e-learning systems. In the system, a context-based ontology is investigated to represent the knowledge that is used to support the process of matching context with suitable language-learning materials, and inference rules in the matching process are developed by Semantic Web Rule Language (SWRL). Four steps of the matching process are realized based on the knowledge representation method and the rules. The implementation of the prototype system shows that it can support the mobile Chinese-learning process by providing a learner with suitable learning materials related with the contexts of the task he/she is doing or going to do, his/her profile and mobile device, so that it can greatly improve the effect and efficiency of learning.