Social Activities Recommendation System for Students in Smart Campus

Abdrabbah, Sabrine Ben; Ayachi, Raouia; Amor, Nahla Ben

doi:10.1007/978-3-319-59480-4_46

Cited by 9 publications

(9 citation statements)

References 8 publications

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“…With this knowledge, decision-making traditionally depends on a group of experts in academic and learning subjects. These groups of experts are the ones who are in charge of making decisions and generating notifications for students and teachers in search of a method that allows them to improve learning [40]. However, this usually creates a funnel where actions are dammed, or it takes too long for the people in charge to take an action that allows for improvement.…”

Section: Recommendation System Through Artificial Intelligencementioning

confidence: 99%

Academic Activities Recommendation System for Sustainable Education in the Age of COVID-19

2021

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Currently, universities are going through a critical moment due to the coronavirus disease in 2019. To prevent its spread, countries have declared quarantines and isolation in all sectors of society. This has caused many problems in the learning of students, since, when moving from a face-to-face educational model to a remote model, several academic factors such as psychological, financial, and methodological have been overlooked. To exactly identify the variables and causes that affect learning, in this work a data analysis model using a Hadoop framework is proposed. By processing the data, it is possible to identify and classify students to determine the problems they present in different learning activities. The results are used by an artificial intelligence system that takes student information and converts it into knowledge, evaluates the academic performance problems they present, and determines what type of activity aligns with the students. The artificial intelligence system processes the information and recommends activities that focus on each student’s abilities and needs. The integration of these systems to universities creates an adaptive educational model that responds to the new challenges of society.

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Section: Recommendation System Through Artificial Intelligencementioning

confidence: 99%

Academic Activities Recommendation System for Sustainable Education in the Age of COVID-19

2021

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“…The LMS data may not be sufficient when recommending an activity that aligns with a student's skills. For this, the AI uses the Chatbot as a means of interaction with the student, and that collects direct information from the student to add it to the analysis [3]. In Figure 7, the stages that make up the recommendation of activities are observed, each of the stages depends on the previous one and everything works in relation to the analysis of student data.…”

Section: Activity Recommendationmentioning

confidence: 99%

“…Smart campuses are conducive environments where ICT and campus members interact with each other to create an ecosystem where all campus resources are focused on meeting the needs of members. One of these needs and the most important for smart campuses is how to improve student learning in a sustainable way [3].…”

Section: Introductionmentioning

confidence: 99%

Proposal of an Architecture for the Integration of a Chatbot with Artificial Intelligence in a Smart Campus for the Improvement of Learning

2020

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Traditional teaching based on masterclasses or techniques where the student develops a passive role has proven to be inefficient methods in the learning process. The use of technology in universities helps to generate active learning where the student's interest improves making him the main actor in his education. However, implementing an environment where active learning takes place requires a great deal of effort given the number of variables involved in this objective. To identify these variables, it is necessary to analyze the data generated by the students in search of patterns that allow them to be classified according to their needs. Once these needs are identified, it is possible to make decisions that contribute to the learning of each student; for this, the use of artificial intelligence is considered. These techniques emulate the processes of human thought using structures that contain knowledge and experience of human experts.Sustainability 2020, 12, 1500 2 of 20 components, the new technologies or also known as emerging technologies. These technologies provide special features to the campuses included in a layered architecture that includes data acquisition with an internet-based approach to things (IoT), cloud computing processing. The data generated from the interaction of the members, as well as those of the administrative management, are analyzed for the obtaining of knowledge and decision-making that provides solutions to the needs of each of the intelligent campus members [4]. However, implementing these technologies has a certain degree of difficulty because when talking about improving learning, this means that smart campuses must provide a personalized education. Smart campuses have many benefits to provide personalized education, among these benefits are that students achieve a deeper understanding of the concepts of a particular subject. It promotes a positive attitude towards learning and consequently, a greater motivation towards the subject [5].Smart campuses have strengthened their educational platforms and have improved their academic management capacity by being able to constantly monitor everything that happens in their vicinity. This is possible through systems of sensors and actuators, and computer applications that are responsible for identifying variables, making decisions and recommending activities to students. To meet these characteristics, the smart campus has complex architectures that allow it to manage a large volume of data in search of relevant information about its members. This process necessarily includes platforms for data management such as business intelligence (BI) or big data [6].The use of each of these platforms depends on the volume of data generated by each institution, in addition to the characteristics of each one. Based on the results of the data analysis, it is possible to make effective decisions that contribute to student learning. An expert who, in the case of ICT, entrusts this work to the AI makes the decision. AI provides tools and techniques that ...

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“…The second group of research was carried out in university environments and focuses on meeting the needs of students [22]. These needs range from improving administrative processes to analyzing the data of the inhabitants [23]. In this group, there was little research into the architecture or integral analysis where all the data generated in a campus are taken advantage of through a process of big data analysis [20] to help in efficiently managing processes and resources [24].…”

Section: Previous Researchmentioning

confidence: 99%

“…In the learning environment, it applies its own data analysis techniques to optimize educational management, learning, and attention to the student, giving support to personalized education [40]. The framework is able to offer alert services and generate recommendations, among other benefits [23].…”

Section: Servicesmentioning

confidence: 99%

Application of a Big Data Framework for Data Monitoring on a Smart Campus

et al. 2019

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At present, university campuses integrate technologies such as the internet of things, cloud computing, and big data, among others, which provide support to the campus to improve their resource management processes and learning models. Integrating these technologies into a centralized environment allows for the creation of a controlled environment and, subsequently, an intelligent environment. These environments are ideal for generating new management methods that can solve problems of global interest, such as resource consumption. The integration of new technologies also allows for the focusing of its efforts on improving the quality of life of its inhabitants. However, the comfort and benefits of technology must be developed in a sustainable environment where there is harmony between people and nature. For this, it is necessary to improve the energy consumption of the smart campus, which is possible by constantly monitoring and analyzing the data to detect any anomaly in the system. This work integrates a big data framework capable of analyzing the data, regardless of its format, providing effective and efficient responses to each process. The method developed is generic, which allows for its application to be adequate in addressing the needs of any smart campus.

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Social Activities Recommendation System for Students in Smart Campus

Cited by 9 publications

References 8 publications

Academic Activities Recommendation System for Sustainable Education in the Age of COVID-19

Academic Activities Recommendation System for Sustainable Education in the Age of COVID-19

Proposal of an Architecture for the Integration of a Chatbot with Artificial Intelligence in a Smart Campus for the Improvement of Learning

Application of a Big Data Framework for Data Monitoring on a Smart Campus

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