Survey on Pedagogical Resources Recommendation using Cognitive Computing Systems

Leitão, Gabriel; Valentin, Eduardo; Oliveira, Elaine; Barreto, Raimundo

doi:10.1109/fie.2018.8658793

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…From the side of cognitive computing, there are only recent works that deal with such advanced techniques used in e-learning applications, for example to serve the instructional design process, helping to find personalized learning assets and improving the definition of individual learning strategies or classifying resources. Among these, [14] focuses on recommendation systems implemented on the basis of cognitive services. The paper envisages the possibility of using the same approach to meet the needs of students and teachers, especially to enable personalized learning strategies and implement recommendation systems for educational resources, based on information derived from the interactions between students.…”

Section: The Impact Of Cognitive Computing On E-learningmentioning

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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Section: The Impact Of Cognitive Computing On E-learningmentioning

confidence: 99%

Collaborative E-learning Environments with Cognitive Computing and Big Data

Coccoli¹,

Maresca²,

Molinari³

2019

JVLC

View full text Add to dashboard Cite

show abstract

“…They envisage the possibility of using the same approach to meet the needs of students and teachers, especially to enable personalized learning strategies and recommend educational resources, based on information derived from the interactions between students. The paper proposes the prototype of a platform and surveys the approaches to develop advanced TEL solutions, analyzing the state of the art of using cognitive systems in e-learning, identifying paradigms and pedagogical methodologies, techniques, tools and learning objects with respect to the recommendation of pedagogical activities using cognitive computing [14]. In [15], the authors use cognitive systems for the automated classification of learning videos, with special reference to MOOCs.…”

Section: B the Impact Of Cognitive Computing On E-learningmentioning

confidence: 99%

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

Coccoli¹,

Maresca²,

Molinari³

2019

International Conferences on Distributed Multimedia Systems

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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.

show abstract

Survey on Pedagogical Resources Recommendation using Cognitive Computing Systems

Cited by 2 publications

References 16 publications

Collaborative E-learning Environments with Cognitive Computing and Big Data

Collaborative E-learning Environments with Cognitive Computing and Big Data

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

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