Smarter universities: A vision for the fast changing digital era

Coccoli, Mauro; Guercio, Angela; Maresca, Paolo; Stanganelli, Lidia

doi:10.1016/j.jvlc.2014.09.007

Cited by 173 publications

(97 citation statements)

References 15 publications

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“…5 The process was convenient and an efficient use of time. 6 The process was easy to use. 7 The process distracted from core content and my intended learning.…”

Section: Resultsmentioning

confidence: 99%

“…Current trends in education include the integration of online, hybrid, and collaborative learning environments [6,7]. Modern collaborative environments in higher education are responding to many of the same opportunities as industry, including the increasing application of smart technologies, such as cloud computing for software distribution and usage and the adoption of collaborative paradigms and environments that leverage the work of student teams just as they do software development teams in industry [6].…”

Section: Collaborative Framework Systems and Learningmentioning

confidence: 99%

“…Modern collaborative environments in higher education are responding to many of the same opportunities as industry, including the increasing application of smart technologies, such as cloud computing for software distribution and usage and the adoption of collaborative paradigms and environments that leverage the work of student teams just as they do software development teams in industry [6]. In professionbased learning and outcomes-based education, collaboration is both a teaching strategy and a learning outcome; in both public institutions and large organizations, the ability to work together is critical to successful software engineering [8,9].…”

Section: Collaborative Framework Systems and Learningmentioning

confidence: 99%

See 2 more Smart Citations

Scaffolding Version Control into the Computer Science Curriculum

Case

Eloe

Leopold

2016

International Conferences on Distributed Multimedia Systems

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Version control systems (VCS) are widely-used in the software industry. They provide a powerful, collaborative framework that allows software engineers to work together effectively. VCS allow users to track changes and merge ongoing work into concurrently evolving software projects. Distributed VCS such as Git, allow a great degree of flexibility, and provide powerful options for managing personal code and evolving collaborative content. Power incurs responsibility, and introducing collaborative coding and version control tools to new developers can create many challenges. Yet these tools, once mastered, are crucial skills for professional developers. In this paper, the authors introduce VCS to computer science students both in a custom environment specifically designed to support new developers and in a commercially-available native environment suitable for more experienced students. Results show that proper introduction of these powerful tools can make early exposure a positive and valued experience.

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“…5 The process was convenient and an efficient use of time. 6 The process was easy to use. 7 The process distracted from core content and my intended learning.…”

Section: Resultsmentioning

confidence: 99%

Section: Collaborative Framework Systems and Learningmentioning

confidence: 99%

Section: Collaborative Framework Systems and Learningmentioning

confidence: 99%

See 1 more Smart Citation

Scaffolding Version Control into the Computer Science Curriculum

Case

Eloe

Leopold

2016

International Conferences on Distributed Multimedia Systems

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“…Specifically, according to the smarter university model [18], cognitive computing-based applications and services should be adopted for administration and management, and learning activities as well. From the e-learning point of view, we report some experiences that witness how cognitive computing can be an accelerator for students' achievements, and a valuable support for the teachers.…”

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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“…Again cognitive systems [5] well compete through the analytics. Even the management of teachers is interesting through analytics, and more generally, many problems can be managed through analytics foreshadowing a smarter Universities [4].…”

Section: Big Data As Support To Learning Managemement and Learninmentioning

confidence: 99%

Is e-learning ready for big data? And how big data would be useful to e-learning ?

Maresca

Molinari

2016

International Conferences on Distributed Multimedia Systems

Self Cite

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The paper presents an overview of possible application fields of big data to the Technology-Enhanced Learning (TEL), with the many different facets this could imply. Many are the benefits for e-learning when approaching the collection of data, especially when elearning is delivered in a life-long learning perspective. All these benefits could impact the future of eLearning, by revolutionizing the way we analyze and assess the eLearning experience. On one side, we present our experience in enriching the persistence layer of an LMS with a deeper log system on users' actions, in the perspective of collecting volumes of data compatible with big data tools and technologies, while highlighting some related issues. On the other hand we will deal with the first applications of cognitive systems that are responsible for catalysing the big data in analytics aimed at e-learning activities.

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Smarter universities: A vision for the fast changing digital era

Cited by 173 publications

References 15 publications

Scaffolding Version Control into the Computer Science Curriculum

Scaffolding Version Control into the Computer Science Curriculum

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

Is e-learning ready for big data? And how big data would be useful to e-learning ?

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