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Methodologies and Intelligent Systems for Technology Enhanced Learning

Overview of attention for book
Cover of 'Methodologies and Intelligent Systems for Technology Enhanced Learning'

Table of Contents

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    Book Overview
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    Chapter 1 A Fuzzy-Based Multi-agent Model for Group Formation in Collaborative Learning Environments
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    Chapter 2 Using Large Margin Nearest Neighbor Regression Algorithm to Predict Student Grades Based on Social Media Traces
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    Chapter 3 Adaptive Agent-Based Environment Model to Enable the Teacher to Create an Adaptive Class
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    Chapter 4 Answer Identification Model for Methodological Question in Student Texts
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    Chapter 5 The Design of a Smart Tray with Its Canteen Users: A Formative Study
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    Chapter 6 Assessing the Role of Computer Simulation in Chemistry Learning
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    Chapter 7 Literature-Based Analysis of the Potentials and the Limitations of Using Simulation in Nursing Education
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    Chapter 8 Use of Internet and Wellbeing: A Mixed-Device Survey
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    Chapter 9 TEL Methodologies in Health Education. Effectiveness of a Group Educational Intervention in Patients with T2DM
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    Chapter 10 Psychology of Programming: The Role of Creativity, Empathy and Systemizing
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    Chapter 11 Analysis Learning Styles Though Attentiveness
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    Chapter 12 Toward a Cognitive Robotics Laboratory Based on a Technology Enhanced Learning Approach
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    Chapter 13 First Steps Towards the Design of Tangibles for Graph Algorithmic Thinking
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    Chapter 14 EOLo: A Serious Mobile Game to Support Learning Processes
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    Chapter 15 SNIFF: A Game-Based Assessment and Training Tool for the Sense of Smell
Attention for Chapter 7: Literature-Based Analysis of the Potentials and the Limitations of Using Simulation in Nursing Education
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Chapter title
Literature-Based Analysis of the Potentials and the Limitations of Using Simulation in Nursing Education
Chapter number 7
Book title
Methodologies and Intelligent Systems for Technology Enhanced Learning
Published in
Advances in Intelligent Systems and Computing, June 2017
DOI 10.1007/978-3-319-60819-8_7
Book ISBNs
978-3-31-960818-1, 978-3-31-960819-8
Authors

Cristina Petrucci, Carmen La Cerra, Valeria Caponnetto, Ilaria Franconi, Elona Gaxhja, Ivan Rubbi, Loreto Lancia, Petrucci, Cristina, La Cerra, Carmen, Caponnetto, Valeria, Franconi, Ilaria, Gaxhja, Elona, Rubbi, Ivan, Lancia, Loreto

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 16%
Student > Master 2 11%
Professor 2 11%
Lecturer 1 5%
Student > Doctoral Student 1 5%
Other 2 11%
Unknown 8 42%
Readers by discipline Count As %
Nursing and Health Professions 8 42%
Environmental Science 1 5%
Medicine and Dentistry 1 5%
Unknown 9 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 May 2020.
All research outputs
#21,160,107
of 25,992,468 outputs
Outputs from Advances in Intelligent Systems and Computing
#1
of 1 outputs
Outputs of similar age
#258,953
of 334,618 outputs
Outputs of similar age from Advances in Intelligent Systems and Computing
#1
of 1 outputs
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So far Altmetric has tracked 1 research outputs from this source. They receive a mean Attention Score of 0.5. This one scored the same or higher as 0 of them.
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We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them