Themes in Science and Technology Education - Call for Papers

S

pecial Issue on Big Data in Education

Guest editor

Renato P. dos Santos, ULBRA - Lutheran University of Brazil, Brazil

Aims of the special issue

Internet users worldwide are currently producing more and more data of various types such as emails, social media, search queries, etc. Such data are big data by nature. Big data techniques hold promise for disruptive innovations leading to better health care, cleaner environment, safer cities, more effective marketing strategies, and even new ways of doing science. The reach of big data and analytic knowledge is impressive and pervasive.

Much of the widespread discussion around big data has focused on surveillance, marketing, or other exploitation of data about people. The papers included in this special issue, however, should demonstrate the impact and potential for data science to improve education both from school administration and teaching/learning points of view. They should address new methodologies and new applications of big data in education, the challenges and possibilities that such enlarged scale brings for teaching and learning in this area.

This special issue “Big Data in Education” aspires to contribute to the further development and advancement of the dialogue among the research pioneers of big data in education at international level.

The topics of this special issue include but are not limited to:

· Learning and academic analytics in education

· The role and perspectives of big data in Information Systems programs curricula

· Applications and use cases of big scholarly data by teachers and students

· Strategies for learning and teaching with big data applications such as Google Trends and Google Correlate, among others

· Applications and use cases of big science by teachers and students

· Privacy, security, and ethical issues related to the use of students’ data

· Benefits and case studies of curriculum personalization through big data

· Critical perspectives on whether big data leads to big knowledge

· Adaptations needed by information systems, computer science, and industrial engineering programs to the world of big data

· The extent to which students shall be introduced to the fundamentals of analytics and appropriate ethics for handling data to meet the market needs

· Lessons learned creating programs for or teaching big data and analytics to all levels

· Lessons that can be applied from other research fields

These submissions can be:

· Papers describing and evaluating new and/or existing methods that can be used to solve educational challenges

· Position papers that describe data science challenges that need to be overcome in order to make methods more suited to solving large-scale educational challenges

· Papers describing implementations of data mining/analytics/big data/data science systems in school settings.

· Problem descriptions that highlight significant educational problems that could use data science expertise and skills, but are not being tackled today.

Important dates

Submission deadline: October 30, 2015

Acceptance notification: November 30, 2015

Publication: Spring 2016 (Tentative)

Submission guidelines...

Manuscripts should be submitted to the special issue’s section electronically via the journal’s webpage http://earthlab.uoi.gr/theste/index.php/theste/about/submissions.

Before submitting a manuscript, authors should advise the review checklist that reviewers use to provide feedback on the articles. Author(s) have to submit their article following the journal’s format.

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How to write a paper in scientific journal style and format

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his guide has been compiled, edited, and revised by Greg Anderson of the Bates College Department of Biology. The guide is intended to provide general content, style, and format guidelines for biology students learning to write papers in a standard, scientific journal style and format that can be easily adapted to specific journal requirements or disciplinary conventions. Much of the specific content has been shaped by the particular needs of the beginning scientific writers in our biology program. We therefore make no claims about completeness or depth for more advanced writers in the biological sciences, or those in other science disciplines. Many excellent published style manuals for scientific exist for graduate students and professional scientific writiers. The guidelines presented here are largely based upon the CBE Style Manual (Huth et al 1994), and we provide suggestions as to other useful published writing guides.

To read the complete guide, click here

Retrieved from:
http://abacus.bates.edu/~ganderso/biology/resources/writing/HTWtoc.html


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FREE eBook: Guide to Academic and Scientific Publication: How To Get Your Writing Published in Scholarly Journals

Written by Wei Liao
Scientific Adviser and Director

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GUIDE TO ACADEMIC AND SCIENTIFIC PUBLICATION: How To Get Your Writing... proof-reading-service.com

Written by an academic author, editor and proofreader, this Guide to Academic and Scientific Publication provides practical advice on planning, preparing and submitting articles for publication in scholarly journals.

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Directory of Open Access Journals

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he aim of the DOAJ is to increase the visibility and ease of use of open access scientific and scholarly journals, thereby promoting their increased usage and impact. The DOAJ aims to be comprehensive and cover all open access scientific and scholarly journals that use a quality control system to guarantee the content. In short, the DOAJ aims to be THE one stop shop for users of open access journals

To access the Directory of Open Access Journals...

click here

First viewed here
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“I DON’T KNOW WHAT TO BELIEVE...”

Making sense of science stories

This leaflet is for people who follow debates about science and medicine in the news. It explains how scientists present and judge re s e a rch and how you can ask questions of the scientific information presented to you.

SUMMARY
•Science has a system for assessing the quality of research before
it is published. This system is called peer review.

•Peer review means that other scientific experts in the field
check research papers for validity, significance and originality –
and for clarity.

•Editors of scientific journals draw on a large pool of suitable
experts to scrutinise papers before deciding whether to publish
them.

•Many of the research claims you read in newspapers and
magazines, find on the internet, or hear on television and the
radio are not published in a peer-reviewed journal.

•Some of this research may turn out to be good but much of it is
flawed or incomplete. Many reported findings, such as claims
about “wonder cures” and “new dangers”, never come to anything.

•Unpublished research is no help to anyone. Scientists can’t repeat
or use it and as a society we can’t base decisions about our public
safety – or our family’s health for example – on work that has a
high chance of being flawed.

•So, no matter how exciting or compelling new scientific or medical
research is, you must always ask…
Is it peer reviewed? If not, why not?
If it is peer reviewed, you can look for more information on what
other scientists say about it, the size and approach of the study and
whether it is part of a body of evidence pointing towards the same
conclusions

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