Privacy and Freedom.

The introduction of Artificial Intelligence technology enables the integration of Chatbot systems into various aspects of education. This technology is increasingly being used for educational purposes. Chatbot technology has the potential to provide quick and personalised services to everyone in the sector, including institutional employees and students. This paper presents a systematic review of previous studies on the use of Chatbots in education. A systematic review approach was used to analyse 53 articles from recognised digital databases. The review results provide a comprehensive understanding of prior research related to the use of Chatbots in education, including information on existing studies, benefits, and challenges, as well as future research areas on the implementation of Chatbot technology in the field of education. The implications of the findings were discussed, and suggestions were made.

Chatbots applications in education: A systematic review

The impact of engineering students' performance in the first three years on their graduation result using educational data mining

The academic performance of a student in a university is determined by a number of factors, both academic and non-academic. Student that previously excelled at the secondary school level may lose focus due to peer pressure and social lifestyle while those who previously struggled due to family distractions may be able to focus away from home, and as a result excel at the university. University admission in Nigeria is typically based on cognitive entry characteristics of a student which is mostly academic, and may not necessarily translate to excellence once in the university. In this study, the relationship between the cognitive admission entry requirements and the academic performance of students in their first year, using their CGPA and class of degree was examined using six data mining algorithms in KNIME and Orange platforms. Maximum accuracies of 50.23% and 51.9% respectively were observed, and the results were verified using regression models, with R2 values of 0.207 and 0.232 recorded which indicate that students’ performance in their first year is not fully explained by cognitive entry requirements.

Data mining approach to predicting the performance of first year student in a university using the admission requirements

Abstract Chatbots hold the promise of revolutionizing education by engaging learners, personalizing learning activities, supporting educators, and developing deep insight into learners’ behavior. However, there is a lack of studies that analyze the recent evidence-based chatbot-learner interaction design techniques applied in education. This study presents a systematic review of 36 papers to understand, compare, and reflect on recent attempts to utilize chatbots in education using seven dimensions: educational field, platform, design principles, the role of chatbots, interaction styles, evidence, and limitations. The results show that the chatbots were mainly designed on a web platform to teach computer science, language, general education, and a few other fields such as engineering and mathematics. Further, more than half of the chatbots were used as teaching agents, while more than a third were peer agents. Most of the chatbots used a predetermined conversational path, and more than a quarter utilized a personalized learning approach that catered to students’ learning needs, while other chatbots used experiential and collaborative learning besides other design principles. Moreover, more than a third of the chatbots were evaluated with experiments, and the results primarily point to improved learning and subjective satisfaction. Challenges and limitations include inadequate or insufficient dataset training and a lack of reliance on usability heuristics. Future studies should explore the effect of chatbot personality and localization on subjective satisfaction and learning effectiveness. 

/pdf/interacting-with-educational-chatbots-a-systematic-review-1fb1jgn8.pdf

Interacting with educational chatbots: A systematic review

Chatbots have been around for years and have been used in many areas such as medicine or commerce. Our focus is on the development and current uses of chatbots in the field of education, where they can function as service assistants or as educational agents. In this research paper, we attempt to make a systematic review of the literature on educational chatbots that address various issues. From 485 sources, 80 studies on chatbots and their application in education were selected through a step‐by‐step procedure based on the guidelines of the PRISMA framework, using a set of predefined criteria. The results obtained demonstrate the existence of different types of educational chatbots currently in use that affect student learning or improve services in various areas. This paper also examines the type of technology used to unravel the learning outcome that can be obtained from each type of chatbots. Finally, our results identify instances where a chatbot can assist in learning under conditions similar to those of a human tutor, while exploring other possibilities and techniques for assessing the quality of chatbots. Our analysis details these findings and can provide a solid framework for research and development of chatbots for the educational field.

Rediscovering the use of chatbots in education: A systematic literature review

Designing an automated assessment tool in online distributed programming can provide students with a meaningful distributed learning environment that improves their academic performance. However, it is a complex and challenging endeavor that, as far as we know, has not been investigated yet. To address this research gap, this work presents a new automated assessment tool in online distributed programming, called DSLab. The tool was evaluated in a real long-term online educational experience by analyzing students' perceptions with the aim of improving its design. A quantitative analysis method was employed to collect and analyze data concerning students’ perceptions as to whether using the DSLab tool was really a worthwhile experience. Our study shows that the DSLab tool includes acceptable utility and efficiency features. It also identifies factors that influence current design efficiency with the aim of improving DSLab design by suggesting new functionalities and ideas.

/pdf/analyzing-students-perceptions-to-improve-the-design-of-an-3or62awh5j.pdf

Analyzing students' perceptions to improve the design of an automated assessment tool in online distributed programming

Online Social Networks (OSNs) incorporate different forms of interactive communication, including microblogging services, multimedia sharing, business networking, and so on. They allow users to create profiles, connect with friends, and share their daily activities and thoughts. However, this ease of use of OSNs comes with a cost in terms of users’ privacy and security. The big amount of personal data shared in the users’ profiles or correlated from their activities can be stored, processed, and sold for advertisement or statistical purposes. It attracts also malicious users who can collect and exploit the data and target different types of attacks. In this article, we review the state of the art of OSNs existing either in the literature or deployed for use. We focus on the OSN systems that offer, but not exclusively, microblogging services. We analyze and evaluate each system based on a set of characteristics, and we compare them based on their usability and the level of protection of privacy and security they provide. This study is a first step toward understanding the security and privacy controls and measuring their level in an OSN.

Privacy Analysis on Microblogging Online Social Networks: A Survey

A large amount of sensitive data is transferred, stored, processed, and analyzed daily in Online Social Networks (OSNs). Thus, an effective and efficient evaluation of the privacy level provided in such services is necessary to meet user expectations and comply with the requirement of the applicable laws and regulations. Several prior works have proposed mechanisms for evaluating and calculating privacy scores in OSNs. However, current models are system-specific and assess privacy only from the user's perspective. There is still a lack of a universal model that can quantify the level of privacy and compare between different systems. In this paper, we propose a generic framework to (i) guide the development of privacy metrics and (ii) to measure and assess the privacy level of OSNs, more specifically microblogging systems. The present study develops an algorithmic model to compute privacy scores based on the impact of privacy and security requirements, accessibility, and difficulty of information extraction. The proposed framework aims to provide users as well as system providers with a measure of how much the investigated system is protecting privacy. It allows also comparing the privacy protection level between different systems. The privacy score framework has been tested using real microblogging social networks and the results show the potential of the proposed privacy scoring framework.

http://openaccess.uoc.edu/webapps/o2/bitstream/10609/122986/1/Oukemeni_IEEE_Access_IPAM.pdf

IPAM: Information Privacy Assessment Metric in Microblogging Online Social Networks

In this paper we present the design of a system which allows service deployment in a small-sized group of computers distributed through the Internet. These groups are formed by users who share a common interest, and voluntarily yield their own resources for the achievement of the collaborative activities of the group. Having enough resources contributed by the members of the group, our system guarantees service availability and the fact that the deployment and execution of the services is carried out using only the resources of the group. This management is done in a completely decentralized manner, and the system is self-organized in the presence of component connections, disconnections and failures. We demonstrate its validity through the implementation of a prototype and the execution of some tests, which allow us to guarantee that the system is self-organized, always reaching a consistent state

Joan Manuel Marquès Puig

Papers

Rediscovering the use of chatbots in education: A systematic literature review

Analyzing students' perceptions to improve the design of an automated assessment tool in online distributed programming

Privacy Analysis on Microblogging Online Social Networks: A Survey

IPAM: Information Privacy Assessment Metric in Microblogging Online Social Networks

Decentralized Service Deployment for Collaborative Environments