research-article

Wireless sensor networks to support elementary school learning activities

Authors:

Nadya Antonova,

António Mendes,

Maria MarcelinoAuthors Info & Claims

CompSysTech '09: Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing

Article No.: 71, Pages 1 - 6

https://doi.org/10.1145/1731740.1731817

Published: 18 June 2009 Publication History

Abstract

Technology has played an important role supporting education. Well-known paradigms like e-learning and m-learning have been revolutionizing traditional concepts of learning, which due to ubiquitous computing characteristics became closer to students. In this paper we approach the concept of Wireless Sensor Networks (WSNs) and their potential to improve the quality of teaching and learning in elementary education. WSNs are the ultimate interface between the students and the context, enhancing the interactivity with the learners' real context and consequently improving the acquisition and construction of knowledge. We also present uMove2Learn, a WSNs solution designed to assist learners and teachers in their daily activities.

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Digital Library

Cited By

Alghamdi A(2024)Evaluating Factors Influencing Learner Satisfaction in Massive Open Online Course Selection: A Data-Driven Approach Using Machine LearningArabian Journal for Science and Engineering10.1007/s13369-024-09183-3Online publication date: 2-Jul-2024
https://doi.org/10.1007/s13369-024-09183-3

Index Terms

Wireless sensor networks to support elementary school learning activities

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CompSysTech '09: Proceedings of the International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing

June 2009

653 pages

ISBN:9781605589862

DOI:10.1145/1731740

Editors:
Boris Rachev
Technical University of Varna, Bulgaria
,
Angel Smrikarov
University of Ruse, Bulgaria

Copyright © 2009 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 18 June 2009

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CompSysTech '09

CompSysTech '09: Proceedings of the 10th International Conference on Computer Systems and Technologies and Workshop for PhD Students in Computing

June 18 - 19, 2009

Ruse, Bulgaria

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Cited By

Alghamdi A(2024)Evaluating Factors Influencing Learner Satisfaction in Massive Open Online Course Selection: A Data-Driven Approach Using Machine LearningArabian Journal for Science and Engineering10.1007/s13369-024-09183-3Online publication date: 2-Jul-2024
https://doi.org/10.1007/s13369-024-09183-3

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