The role of big data and cognitive computing in the learning process

Coccoli, Mauro; Maresca, Paolo; Stanganelli, Lidia

doi:10.1016/j.jvlc.2016.03.002

Cited by 38 publications

(27 citation statements)

References 11 publications

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“…It is understood from various studies that cognitive computing possesses powerful features and thus it leads to the current development of traditional AI to the new innovative AI algorithms and to the accessibility of data that originates from various devices. Consequently, this leads to the implementation of efficient cognitive systems that makes them do various tasks such as reasoning, discovery in several areas [24] such as education, insurance, science and healthcare [25]. In the end, it is observed from Noor [26], that recently cognitive computing contributed much in engineering systems of the future.…”

Section: Issues With Big Datamentioning

confidence: 99%

Impact of Healthcare Predictions with Big Data Analytics and Cognitive Computing Techniques

Aarathi¹,

Vasundra²

2019

IJRTE

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The world has transformed into an information society that exceedingly depends on data. Since information frameworks create large measures of records each day, consistently, it appears the world is achieving the level of data overload. Big data is used to process the enormous volumes of data into revealing shrouded designs, complex relationships, and other helpful information. This work has done a comprehensive analysis of enormous information investigation in medicinal services. A brief insight into the importance of cognitive computing in healthcare has beenpresented. The extensive study concludes that the Cognitive computing has more impact on healthcare predictions than the big data analytics.

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Section: Issues With Big Datamentioning

confidence: 99%

Impact of Healthcare Predictions with Big Data Analytics and Cognitive Computing Techniques

Aarathi¹,

Vasundra²

2019

IJRTE

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“…Moreover, cognitive computing techniques allow managing big data and these two issues mixed together are influencing the learning process [20].…”

Section: Semantics and Cognitive Computingmentioning

confidence: 99%

A Tool for the Semantic Analysis and Recommendation of videos in e-learning

Coccoli¹,

Vercelli²

2016

International Conferences on Distributed Multimedia Systems

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Abstract-Video lessons are increasingly adopted in education, especially in universities and lifelong learning projects. Their popularity is due to the people's familiarity with video and to other intrinsic characteristics of this medium, such as the message rapidity and its reproducibility. Accordingly, Massive Open Online Courses are gaining a prominent role in both formal and informal education and many universities provide video courses for their students through suited platforms or even freely accessible to everyone. To improve the effectiveness of video lessons and to make them part of a wider learning environment, we decided to investigate the possibility of making a system that, starting from a video, can suggest further "readings". Such a system is thought for independent lifelong learners, for regular students, for teachers and instructional designers as well.

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“…In this respect, we highlight that the introduction of cognitive computing can enable a number of new functionalities [3] and that the adoption of this new paradigm also reflects on the learning process, as schools and universities must face with new jobs and new training demands since new knowledge and skills should be promptly delivered [4], also pushed by big data. As a result, it seems that LMSs have reached their maturity stage in the innovation adoption curve, since they are pervasively adopted by learning providers at any level, from the primary schools up to higher education institutions, to the aim of guaranteeing the most effective implementation of TEL solutions.…”

Section: Introductionmentioning

confidence: 99%

Collaborative E-learning Environments with Cognitive Computing and Big Data

Coccoli¹,

Maresca²,

Molinari³

2019

JVLC

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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.

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The role of big data and cognitive computing in the learning process

Cited by 38 publications

References 11 publications

Impact of Healthcare Predictions with Big Data Analytics and Cognitive Computing Techniques

Impact of Healthcare Predictions with Big Data Analytics and Cognitive Computing Techniques

A Tool for the Semantic Analysis and Recommendation of videos in e-learning

Collaborative E-learning Environments with Cognitive Computing and Big Data

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