Open Learning: A Framework for Sharable Learning Activities

Man, Haifeng; Hong, Chen; Jin, Qun

doi:10.1007/978-3-642-17407-0_41

Cited by 8 publications

(3 citation statements)

References 8 publications

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“…In this section, we explain how to utilize our socialized UPS to support sharable learning activities in open learning [28], and show some numerical results based on the experimental analysis.…”

Section: Scenario For Learning Supportmentioning

confidence: 99%

Socialized ubiquitous personal study: Toward an individualized information portal

Hong¹,

Zhou²,

Jin³

2012

Journal of Computer and System Sciences

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Recently, SNS (Social Network Service), blog and microblog have become very popular. Stream data, a large collection of diverse contents that are created dynamically in the form of streams, have become an important part of the Internet resources. At the same time, it has become easier to collect people's activities as their lifelogs, not only in the cyber space, but also in the physical world by means of ubiquitous and sensing technology. Either stream data or lifelogs represent different aspects of people's information behaviors and social activities, which we call Social Streams. In this study, we try to integrate and organize these social stream data, such as Twitter Tweets, into Ubiquitous Personal Study (UPS) proposed in our previous study. In this paper, we introduce and define a set of new metaphors: Drop, Stream, River and Ocean, to represent a variety of social stream data in different stages, in order to enable UPS socialized toward an individualized information portal. We further propose a Framework of Organic Streams to meaningfully organize these stream data. We discuss the design and implementation issues of a prototype system, and describe the algorithms to realize our proposed metaphors. Moreover, we show a scenario of using the socialized UPS to support learning activities, with experimental data and analysis results.

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Section: Scenario For Learning Supportmentioning

confidence: 99%

Socialized ubiquitous personal study: Toward an individualized information portal

Hong¹,

Zhou²,

Jin³

2012

Journal of Computer and System Sciences

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“…Due to the broad definition and extensibility 9 of the ActivityStreams specification, it can be applied to the learning domain [19]. ActivityStreams can be used to represent interactions of learners and teachers with the learning platform and is thus an appropriate specification to represent activity data for LA.…”

Section: A Activitystreams To Represent User Activitiesmentioning

confidence: 99%

“…al. also propose ActivityStreams as a standard for exchanging user activities among learning platforms [19].…”

Section: A Activitystreams To Represent User Activitiesmentioning

confidence: 99%

Towards Portable Learning Analytics Dashboards

Vozniuk

Govaerts

Gillet

2013

2013 IEEE 13th International Conference on Advanced Learning Technologies

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Abstract-This paper proposes a novel approach to build and deploy learning analytics dashboards in multiple learning environments. Existing learning dashboards are barely portable: once deployed on a learning platform, it requires considerable effort to deploy the dashboard elsewhere. We suggest constructing dashboards from lightweight web applications, namely widgets. Our approach allows to port dashboards with no additional cost between learning environments that implement open specifications (OpenSocial and ActivityStreams) for data access and use widget APIs. We propose to facilitate reuse by sharing the dashboards and widgets via a centralized analytics repository.

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Dynamical User Networking and Profiling Based on Activity Streams for Enhanced Social Learning

Zhou

Jin

2011

Advances in Web-Based Learning - ICWL 2011

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Open Learning: A Framework for Sharable Learning Activities

Cited by 8 publications

References 8 publications

Socialized ubiquitous personal study: Toward an individualized information portal

Socialized ubiquitous personal study: Toward an individualized information portal

Towards Portable Learning Analytics Dashboards

Dynamical User Networking and Profiling Based on Activity Streams for Enhanced Social Learning

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