AREA: A social curation platform for open educational resources and lesson plans

Caeiro-Rodríguez, Manuel; Pérez‐Rodríguez, Roberto; García-Alonso, J. M.; Manso-Vázquez, Mario; Nistal, Martín Llamas

doi:10.1109/fie.2013.6684935

Cited by 17 publications

(8 citation statements)

References 2 publications

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“…Drawing theories and knowledge from data-on-motion using predictive analytics Fujisawa et al, 2016;Automated (Yasumoto et al, 2016) or wiki technology (Tebbakh, 2014) Tebbakh, 2014; Responses 3. Enhancing information retrieval and data reliability from historical data using Machine Choi et al, 2017;Learning (Choi et al, 2017;Caeiro-Rodrıguez et al, 2013;Underwood et al, 2017).…”

Section: Comparative Studymentioning

confidence: 99%

Data Streams Curation for Better Machine Learning Functionality and Result to Serve IoT and other Applications: A Survey

Salah¹,

Al-Omari²,

Alwidian³

et al. 2019

Journal of Computer Science

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Data Curation on data streams is effective in operating and reducing costs of BIG DATA analytic. Basically, analytic preparation requires data curation of available heterogeneous data sets available in big data clusters and such analytic process becomes harder when it comes to the concept of conducting the curation process on Data-on-Motion, in order to come at actionable insights and valuable analytic on a real-time basis including the Machine Learning further analytic and processing. In our paper, we identified and surveyed the different issues and challenges among different areas that are related to the big data. In addition to investigate, the most common techniques and methods followed through the implementations including Streams Curation, the Machine Learning Different Algorithms used in such implementations and the Feature Engineering different techniques that can be considered as curation pre-processing paradigm for data streams analytic. Furthermore, our paper shows the different application areas were data curation concept plays a critical role. Finally, we draw the map between the techniques and methods that are related to the data curation field to emphasize on its main critical role among Business, Retails, Culture, Arts, Health, Medicine, Social Media, Wireless Sensor Networks, Natural Language Processing (NLP) and Automated Feature Engineering (FE). On other hand, we identified the different issues and challenges among different areas including the IoT and Media Streams Curation to help the scholars in this region accordingly.

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Section: Comparative Studymentioning

confidence: 99%

Data Streams Curation for Better Machine Learning Functionality and Result to Serve IoT and other Applications: A Survey

Salah¹,

Al-Omari²,

Alwidian³

et al. 2019

Journal of Computer Science

View full text Add to dashboard Cite

show abstract

“…In addition to the many existing contents delivery ways such as internet-based, multimedia, social media, and virtual/augmented reality (Bermejo, 2005;Blank, et al, 2003;Bressler and Bodzin, 2013;Caeiro-Rodríguez, et al, 2013;Chen, et al, 2017;Chen, et al, 2015;Clark and Mayer, 2011;Denner, et al, 2012;Gao and Liu, 2010;Lee, et al, 2016;Mao, et al, 2017;Martens, et al, 2004;Romero-Hall, et al, 2016;Stash, et al, 2004), the standardized ePUB3 format (ePUB3 Overview, 2011) is a newly introduced specification as a distribution and interchange format standard for digital publications and documents. It defines a means of representing, packaging, and encoding structured and semantically enhanced Web contents -including HTML5, CSS, SVG, images, and other resources -for distributions in a single-file format.…”

Section: Epub3 Ebookmentioning

confidence: 99%

A Flip Blended Learning Approach for ePUB3 eBook-based Course Design and Implementation

Tsai

Lin

2017

EURASIA J MATH SCI T

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Using digital and internet technologies in recent years has not only provided more education opportunities outside classrooms, but has also gained many attentions as a new theme for prospective learners to acquire knowledge in a more convenient way. In such a new paradigm of the so called e-Learning, many efforts have been made to build web-based learning systems that provide controllable processes of learning activities with desired curricular contents. From the learning perspective, this means that desired contents are delivered with spectacular ways to catch the attention of the learners or to enhance their comprehension on these contents. For this need, we present in this paper a flip blended learning approach for designing, lecturing, and assessing academic courses with ePUB3 eBooks used in learning activities for delivering desired curricular contents. Further, for justifying its validity, the approach employs also an analysis about the effects of using our ePUB3 eBook-based flip blended learning model in academic course learning. For implementation, the approach is applied for the design and instruction of an 'Object-Oriented Concepts' course for freshman students at a Department of Information Management.

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“…Three good examples of this are: 1) TQ-Bot [23], an AIML-based tutor and evaluator bot; 2) BEA (Blended e-Assessment) [24] which is a tool to evaluate hand-written exams in the digital world, easing the workflow for the teacher and allowing the students to learn from their mistakes, discuss them with the teacher and reflect about them; and 3) AREA [25], a social curation platform for open educational resources and lesson plans in which the teachers also record the experiences resulting from the activities defined in or outside the lesson plans.…”

Section: A Srl Application Profile For Xapimentioning

confidence: 99%

Development of a xAPI application profile for self-regulated learning requirements for capturing SRL related data

Vázquez

Rodríguez

Nistal

2015

2015 IEEE Global Engineering Education Conference (EDUCON)

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In this paper we present an analysis of xAPI from the self-regulated learning needs point of view, focusing on how we can record all the actions derived from the implementation of self-regulated learning strategies. There are several questions unanswered: Which information could generate each strategy? How do we record this information using xAPI? Is the vocabulary and statements of xAPI appropriate or should be extended? Here we try to answer these questions, which may lead us towards the development of a xAPI application profile for SRL.

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AREA: A social curation platform for open educational resources and lesson plans

Cited by 17 publications

References 2 publications

Data Streams Curation for Better Machine Learning Functionality and Result to Serve IoT and other Applications: A Survey

Data Streams Curation for Better Machine Learning Functionality and Result to Serve IoT and other Applications: A Survey

A Flip Blended Learning Approach for ePUB3 eBook-based Course Design and Implementation

Development of a xAPI application profile for self-regulated learning requirements for capturing SRL related data

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