Ubiquitous smart learning system for smart cities

Author(s):  
Hisham Elhoseny ◽  
Mohamed Elhoseny ◽  
Samir Abdelrazek ◽  
A.M. Riad ◽  
Aboul Ella Hassanien
2020 ◽  
Vol 11 (2) ◽  
pp. 28-37 ◽  
Author(s):  
M. Afshar Alam ◽  
Anam Saiyeda

This article describes how in the current digital era, smart is the latest buzzword. From smartphones, smart homes, smart cars to smart cities every technological as well as traditional device is becoming smarter. In the field of education digital learning has always been present daring back to the educational television shows. Now it has evolved into e-learning, m-learning and now s-learning. Campuses are becoming smart with the use of latest technologies like IoT and cloud computing. Smart learning is the use of all these latest paradigms in order to optimize the teaching and learning experience. It enhances the traditional classroom environment to make learning more fruitful. Cloud computing is now invading all realms, as it reduces dependency on hardware and reduces cost and the headache of maintenance. Cloud technology can be integrated with learning to make learning smarter. We propose a solution to combine these both in order to get an optimized learning system which will help students in self-evaluation and will use cloud to provide its services.


Author(s):  
Iman Rashid Al-Kindi ◽  
Zuhoor Al-Khanjari

One of the most important pillars of smart cities is the smart learning environ-ment. This environment should be well prepared and managed to improve the in-struction process for instructors from one side and the learning process for stu-dents from the other side. This paper presents the student’s Engagement, Behav-ior and Personality (EBP) predictive model. This model uses Moodle log data to investigate the influence and the effect of the students’ EBP factors on their per-formance. For this purpose, this paper uses the data log files of the "Search Strat-egies on the Internet" online course in Fall 2019 at Sultan Qaboos University (SQU) extracted from Moodle database. The intention of conducting this kind of experiments is of three-facets: 1. to assist in gaining a holistic understanding of online learning environments by focusing on student EBP and performance with-in the course activities, 2. to explore whether the student’s EBP can be considered as indicators for predicting student’s performance in online courses, and 3. to support instructors with insights to develop better learning strategies and tailor instructions for personal learning of individual students. Moreover, this paper takes a step forward in identifying effective methods to measure student’s EBP during the learning process. This may contribute to proposing a framework for the smart learning behavior environment that would guide the instructors to ob-serve students’ performance in a more creative way. All the 38 students who participated in this experiment had compatible statistics and results as the relationship between their Engagement, Behavior, Personality was symmetric with their Performance. This relationship was presented using a group of condition rules (If-then). The extracted rules gave us a straightforward and visual picture of the rela-tionship between the factors mentioned in this paper.


Increasing independence and competitiveness of the nation is carried out in order to advance the Indonesian civilization. One of them is through the development of a national system of science, and technology in Citizenship Education. Citizenship Education is one of the subjects that shape the character of Indonesian society. The long-term goals to be achieved in this study are as follows: the researcher found a developmental design of Citizenship Education Learning Model to improve the character of Indonesian society in the era of digital media and the Revolution of Technology. The research method used research and development which is a research method used to yield certain products and to test the validity and the effectiveness of the products. This study used a procedural development model. The procedure in this study adapted the ADDIE model (Analyze, Design, Develop, Implement, and Evaluate). The sample in this study involved State and Private Universities in Indonesia. The results of the study show the following: First, doing a need analysis, identifying problems (needs), and performing task analysis; Second, Design, this design phase, formulated SMART learning objective; Third, Development was realizing blue-print with digital media innovation; Fourth, Implementation was a real step to implement the learning system that we were making; Fifth, Evaluation was a process to see whether the learning system being built was successful, in accordance with early expectations or not. The evaluation was the final way from the design model of the ADDIE learning system. Based on the instructional development model ADDIE, it was then adopted in the developmental stage of the Citizenship Education learning model, with the modification of "MPC" (Modification of Project Citizen) which has adopted the absorption of digital media and the technological revolution.


2017 ◽  
Vol 11 (2) ◽  
pp. 569
Author(s):  
Sunwha Choi ◽  
Seunghee Sone ◽  
Byeongtae Ahn

2013 ◽  
Vol 7 (6) ◽  
pp. 81-90
Author(s):  
Youngseok Lee ◽  
Jungwon Cho

2017 ◽  
Vol 15 (5) ◽  
pp. 133-140
Author(s):  
Won-Pyo Kim ◽  
Jeong-Gun Lee ◽  
Young-Woong Ko ◽  
Yong-Whan Byun

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