Smart Learning in Smart Cities

2017 ◽  
Author(s):  
Dejian Liu ◽  
Ronghuai Huang ◽  
Marek Wosinski
Keyword(s):  
Smart Cities ◽  
Smart Learning

scholarly journals Exploring Factors and Indicators for Measuring Students’ Performance in Moodle Learning Environment

2021 ◽  
Vol 16 (12) ◽  
pp. 169
Author(s):  
Iman Rashid Al-Kindi ◽  
Zuhoor Al-Khanjari
Keyword(s):  
Learning Strategies ◽  
Learning Process ◽  
Online Courses ◽  
Smart Cities ◽  
Sultan Qaboos University ◽  
Personal Learning ◽  
Smart Learning ◽  
Holistic Understanding ◽  
And Performance ◽  
Data Log

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.

scholarly journals Seeing the smart city on Twitter: Colour and the affective territories of becoming smart

2018 ◽  
Vol 37 (3) ◽  
pp. 411-427 ◽  
Author(s):  
Gillian Rose ◽  
Alistair Willis
Keyword(s):  
Social Media ◽  
Smart City ◽  
Smart Cities ◽  
Urban Life ◽  
Data Visualisation ◽  
Social Media Platform ◽  
Smart Learning ◽  
The Social ◽  
Social Media Platforms ◽  
Media Platform

This paper pays attention to the immense and febrile field of digital image files which picture the smart city as they circulate on the social media platform Twitter. The paper considers tweeted images as an affective field in which flow and colour are especially generative. This luminescent field is territorialised into different, emergent forms of becoming ‘smart’. The paper identifies these territorialisations in two ways: firstly, by using the data visualisation software ImagePlot to create a visualisation of 9030 tweeted images related to smart cities; and secondly, by responding to the affective pushes of the image files thus visualised. It identifies two colours and three ways of affectively becoming smart: participating in smart, learning about smart, and anticipating smart, which are enacted with different distributions of mostly orange and blue images. The paper thus argues that debates about the power relations embedded in the smart city should consider the particular affective enactment of being smart that happens via social media. More generally, the paper concludes that geographers must pay more attention to the diverse and productive vitalities of social media platforms in urban life and that this will require experiment with methods that are responsive to specific digital qualities.

Ubiquitous smart learning system for smart cities

2017 ◽  
Author(s):  
Hisham Elhoseny ◽  
Mohamed Elhoseny ◽  
Samir Abdelrazek ◽  
A.M. Riad ◽  
Aboul Ella Hassanien
Keyword(s):  
Smart Cities ◽  
Learning System ◽  
Smart Learning

scholarly journals Infrastructure Elements for Smart Campuses: A Bibliometric Analysis

2021 ◽  
Vol 13 (14) ◽  
pp. 7960
Author(s):  
Temitope Omotayo ◽  
Alireza Moghayedi ◽  
Bankole Awuzie ◽  
Saheed Ajayi
Keyword(s):  
Bibliometric Analysis ◽  
Smart Cities ◽  
Building Construction ◽  
It Project Management ◽  
Analysis Method ◽  
Teaching Management ◽  
Learning And Teaching ◽  
Smart Learning ◽  
Smart Campus ◽  
Procurement Strategy

Sustainable development can be attained at a microlevel and having smart campuses around the world presents an opportunity to achieve city-wide smartness. In the process of attaining smartness on campuses, the elements requiring attention must be investigated. There are many publications on smart campuses, and this investigation used the bibliometric analysis method to identify such publications produced over the last decade. A matrix of 578 nodes and 3217 edges was developed from 285 publications on smart campus construction and procurement. Fifteen cluster themes were produced from the bibliometric analysis. The findings revealed that China contributed 48.4% of all published articles on the smart campus. The findings presented a framework from the cluster themes under the four broad infrastructure areas of building construction or repurposing, technology and IT network, continuous improvement, and smart learning and teaching management. The implications of the findings identified that IT project management, traditional procurement strategy, and standard forms of contracts such as the New Engineering Contract (NEC) and the Joint Contract Tribunal (JCT) are applicable in the procurement of smart cities.

Technology Education and Learning in Smart Cities

2020 ◽  
pp. 78-95 ◽  
Author(s):  
Arik Sadeh ◽  
Cristina Feniser ◽  
Silvia Ionela Dusa
Keyword(s):  
Literature Review ◽  
Technology Education ◽  
Smart City ◽  
Smart Cities ◽  
Digital Age ◽  
Smart Learning

This chapter gives a through description about aspects of smart cities and learning. The concept of smart city has already been deeply involved in our communities. Education and learning are discussed as part of the environment in a smart city. Three relevant components of smart city are provided first, followed by a wide literature review and background about smart learning. We give findings of the perception of the term smart city by young talents. A study about the perception of smart learning and relevant technological aspects was conducted and described. Students are willing to share knowledge and work together in the digital age. Sharing knowledge in a smart city is imperative for better performance in many aspects of the smart city and especially in smart learning and education.

LMS Augmentation to Encourage Pro-Digital Training in Smart Cities - The Case of Dubai

GIS Business ◽  
2019 ◽  
Vol 14 (6) ◽  
pp. 463-471
Author(s):  
Hena Iqbal ◽  
Naeem Zafar
Keyword(s):  
Smart Cities ◽  
Social Groups ◽  
Use Case ◽  
Web Based ◽  
Smart Learning ◽  
Lesson Delivery ◽  
Innovation Model ◽  
E Learning ◽  
Digital Training

Despite using all kinds of digital instruments, Smart Learning Suites (SLS) do not reflect their effectiveness where delivered contents need a methodology, motivation mechanisms, automated follow-up, such as engineering and IT discipline to name a few.  In this work we examine the teacher-paced, student-paced lesson delivery framework augmenting web-based progressive and natural methodology into an open source LMS, widely known as Moodle. The thesis explores student’s adaptation as a cooperative learning tool to the e-learning environment. Our qualitative approach analyze forum contents available online and profiling 150 multi-ethnic undergraduates at different Dubai universities. Response is collected over two-folds, either interactive or social groups presenting students with immersion and perceived reinforcement developed in subjects. Roger Diffusion Innovation Model (RDIM) is used to tag the attitude on the part of student use case over core discipline subjects.

scholarly journals Analisis Hasil Belajar Efektif Dari Penerapan Smart Learning

2018 ◽  
Vol 1 (1) ◽  
pp. 33-40
Author(s):  
Rafi Hidayat
Keyword(s):  
Learning Outcomes ◽  
Smart Cities ◽  
Technology Enhanced Learning ◽  
Smart Learning ◽  
Intelligent Learning Environment ◽  
Smart Education ◽  
The Relationship ◽  
Enhanced Learning ◽  
Learning Analysis

A smart city is an urban place where information technology and digital communication are used to increase knowledge and utilize technology, intellectual resources and real to improve the quality of life. One of the main areas of smart cities is intelligent learning and education, which is a new concept of technology-enhanced learning. Measuring the effectiveness of smart education depends on measuring the desired learning outcomes. This paper suggests the main key features that must be considered when developing learning analysis tools to measure and assess each subject's learning outcomes. And it shows the relationship between an intelligent learning environment, learning outcomes and learning analysis.

A Cloud Based Solution for Smart Education

2020 ◽  
Vol 11 (2) ◽  
pp. 28-37 ◽  
Author(s):  
M. Afshar Alam ◽  
Anam Saiyeda
Keyword(s):  
Cloud Computing ◽  
Classroom Environment ◽  
Teaching And Learning ◽  
Educational Television ◽  
Smart Cities ◽  
Learning Experience ◽  
Learning System ◽  
Digital Learning ◽  
Smart Learning ◽  
Smart Cars

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.

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