Is e-learning ready for big data? And how big data would be useful to e-learning (original) (raw)

When E-Learning Meets Big Data, Cognitive Computing, and Collaborative Environments

Proceedings of the 25th International Conference on Distributed Multimedia Systems, 2019

The e-learning scenario is fast-changing in all of its main aspects from both the technology side and the users' perspective. In this vein, applications and services as well as methodologies are evolving rapidly running after the more recent innovations, through the adoption of novel infrastructures and distributed architectures, to provide the most advanced solutions. In this situation, we observe that the more influential technological factors are two. The former is the availability of a new wave of big data also inherent educational tasks, which can be considered a powerful source for all the people involved in the educational process and acts as enabler for the development of new models for both management and education, based on analytics. The latter is cognitive computing, which can provide learners and teachers with innovative services enhancing the whole learning process, also introducing new capabilities to improve human machine interactions. In these circumstances, it seems that Learning Management Systems (LMS) have reached their maturity stage and they may need a redesign. In this respect, the paper outlines the evolutionary trends of Technology Enhanced Learning (TEL) and presents the results achieved within two experiences carried on in two Italian universities.

Smart e-Learning Systems with Big Data

International Journal of Electronics and Telecommunications, 2018

Nowadays, the Internet connects people, multimedia and physical objects leading to a new-wave of services. This includes learning applications, which require to manage huge and mixed volumes of information coming from Web and social media, smart-cities and Internet of Things nodes. Unfortunately, designing smart e-learning systems able to take advantage of such a complex technological space raises different challenges. In this perspective, this paper introduces a reference architecture for the development of future and big-data-capable e-learning platforms. Also, it showcases how data can be used to enrich the learning process.

Big data for online learning systems

Education and Information Technologies, 2018

In recent years, Online learning systems have met big challenges, especially due to rapid changes in technology, the gigantic amounts of data to be stored and manipulated, the large number of learners and the diversity of educational resources. As a result, e-learning platforms must change their mechanisms for data processing and storage to be smarter. In this context, big data is the relevant paradigm for the distributed and parallel processing of large data sets through thousands of clusters. It also offers a rich set of tools in order to improve data collection, storage, analysis, processing, optimization, and visualization. This article introduces the big data concept, its characteristics, and focuses in particular on the integration of it in a computing environment for human learning dedicated to online learning systems, and how the new methods, technologies, and tools of big data can enhance the future of online learning. Moreover, it proposes an approach for smoothly adapting the traditional e-learning systems to be suitable for big data ecosystems in cloud computing. Furthermore, it provides a methodology and architecture to incorporate the e-learning storage and computing in a Hadoop software library. Finally, the benefits and advantages associated with implementing big data in future online learning systems are discussed.

Big Data and E-Learning in Education

The aim of this paper is to present revolutionizing education through e-learning and big data. In the olden times, when technology has not progressed far enough, there is only one type of teaching and learning that was known: a chalk and blackboard, with the teacher and student being the main factor. Now, as in the 21st century, teaching can be taught without a teacher and learning can be done in various ways, either we are connected to the Internet or not, and also have the drive to strive for that certain knowledge. E-learning is referred to the delivery of learning, training or education via electronic means. It happened because of the revolutionizing of technology and increased in standard of living. The technology includes many types of mass media, for example photos, voice, animation and many more. This application will react efficiently with the connection of the Internet. In addition, e-learning can occur inside or outside the classroom. In fact, people nowadays use e-learning as distance learning or blended learning, which blended learning means the use of technology during face-to-face interaction.

Big Learn: Towards a Tool Based on Big Data to Improve Research in an E-Learning Environment

Abstract—In the area of data management for information system and especially at the level of e-learning platforms, the Big Data phenomenon makes the data difficult to deal with standard database or information management tools. Indeed, for educational purposes and especially in a distance training or online research, the learner that uses the e-learning platform is left with a heterogeneous set of data such as files of all kinds, curves, course materials, quizzes, etc. This requires a specialized fusion system to combine the variety of data and improve the performance, robustness, flexibility, consistency and scalability, so that they can provide the best result to the learner The user of the e-learning platform. In this context, it is proposed to develop a tool called "Big-Learn" based on a technique to integrate the mixing of structured and unstructured data in one data layer, and, in order to facilitate access more optimal search relevance with adequate and consistent results according to the expectations of the learner. The methodology adopted will consist initially in a quantitative and qualitative study of the variety of data and their typology, followed by a detailed analysis of the structure and harmonization of the data to finally find a fictional model for their treatment. This conceptual work will be crowned with a working prototype as a tool achieved with UML and Java technology.

IJERT-The Relation between Big Data Technology and E-Learning

International Journal of Engineering Research and Technology (IJERT), 2014

https://www.ijert.org/the-relation-between-big-data-technology-and-e-learning https://www.ijert.org/research/the-relation-between-big-data-technology-and-e-learning-IJERTV3IS041525.pdf Big Data has been an emerging topic especially when it is considerably linked with E-learning. In today's era, most of the people are interested in fetching major part of the information like to buy or sell (i.e. e-commerce transactions), are all performed through cloud which is the other name of internet. People are learning and even developing new sources of information and income through e-learning. But the problem is that web has a humongous amount of structured and even un-structured data which can be given a systematic presentation in E-learning and users may get maximum information through interfaces. This signifies the reason that this literature may boost the upcoming learning techniques and technologies when we combine the benefits of Big Data to increase velocity and volume of E-learning and all its types. E-learning needs different sources to extract insights. And through this study help can be taken that how, the complex nature of Big Data can be taken a benefit of with using it in all different modes of E-learning and can promote the usage though many institutes are unaware of the usage of Big Data. A further research can also be conducted in which learning analytics can be extracted with the help of Big Data information in this study and new research in Artificial Intelligence and easy learning can be promoted through this study.

New Frontiers for E-Learning in Education: A Big Data Application

2018

Big Data research is playing a leading role in investigating a wide group of issues fundamentally emerging concerning Database, Data Warehousing, and Data Mining research. Analytics research is intended to develop complex procedures running over large-scale data repositories with the objective of extracting useful knowledge hidden in such repositories. A standout amongst the most noteworthy application situations where Big Data emerge is, without uncertainty, logical figuring. Here, researchers and analysts create immense measures of information everyday by means of investigations (e.g., disciplines like high vitality material science, space science, bioinformatics, etc.). Nevertheless, separating helpful learning for basic leadership purposes from these enormous, vast scale data repositories are practically inconceivable for genuine Data Base Management Systems (DBMS), is inspired investigation tools.

Taking Advantage of the “Big Data” in Learning Management Systems

Proceedings of the Canadian Engineering Education Association (CEEA)

This work presents a novel learning management system (LMS), named Catalyseur, which allows the students to easily access pedagogic contents as well as allowing them to directly complete the exercises on the web. Meanwhile, the LMS acquires data about the students’ completion status of exercises and lessons and the time before the examinations these exercises and lessons were completed. An artificial intelligence (AI) predicting student performance at an examination depending of their completion status is continuously updated with new data acquired by the LMS. This AI model is then used to automatically send messages to students about how they are expected to perform at the next examination.

Collaborative E-learning Environments with Cognitive Computing and Big Data

Journal of Visual Language and Computing, 2019

The actual scenario of e-learning environments and techniques is fast-changing from both the technology side and the users' perspective. In this vein, applications and services as well as methodologies are evolving rapidly, running after the more recent innovations and thus adopting distributed cloud architectures to provide the most advanced solutions. In this situation, two influential technological factors emerge: the former is cognitive computing, which can provide learners and teachers with innovative services enhancing the whole learning process, also introducing improvements in human-machine interactions; the latter is a new wave of big data derived from heterogeneous sources, which impacts on educational tasks and acts as enabler for the development of new analytics-based models, for both management activities and education tasks. Concurrently, from the side of learning techniques, these phenomena are revamping collaborative models so that we should talk about communities rather than classrooms. In these circumstances, it seems that current Learning Management Systems (LMS) may need a redesign. In this respect, the paper outlines the evolutionary trends of Technology-Enhanced Learning (TEL) environments and presents the results achieved within two experiences carried on in two Italian universities.

Big Data & Learning Analytics: A Potential Way to Optimize eLearning Technological Tools

International Association for Development of the Information Society, 2013

In the information age, one of the most influential institutions is education. The recent emergence of MOOCS is a sample of the new expectations that are offered to university students. Basing decisions on data and evidence seems obvious, and indeed, research indicates that data-driven decision-making improves organizational productivity. The most dramatic factor shaping the future of higher education is Big Data and analytics. Big Data emphasizes that the data itself is a path to value generation in organizations and it is, also, a critical value for higher education institutions. The emerging practice of academic analytics is likely to become a new useful tool for a new era. Analytics and big data have a significant role to play in the future of higher education. This paper attempts an analytical practice about the use of e-learning technological tools to generate relevant information, for the teacher and the students who try to optimize their learning process.This combination of ...