Taylor & Francis

Innovation in Teaching and Learning in Information and Computer Sciences Template

Write in a clean editor, then format for Innovation in Teaching and Learning in Information and Computer Sciences in one click — DocuGuru applies the official Taylor & Francis template with author–year references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.

About the Innovation in Teaching and Learning in Information and Computer Sciences format

Innovation in Teaching and Learning in Information and Computer Sciences is a peer-reviewed journal published by Taylor & Francis, covering Online and Blended Learning, Teaching and Learning Programming, Experimental Learning in Engineering.

PublisherTaylor & Francis
Reference styleAuthor–year (Chicago, T&F)
Author–year — (Smith, 2023) in the text
Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Innovation in Teaching and Learning in Information and Computer Sciences 12 (3): 45–58.

Formats any DOI in Innovation in Teaching and Learning in Information and Computer Sciences style. No sign-up.

Publishes research inOnline and Blended Learning Teaching and Learning Programming Experimental Learning in Engineering Open Education and E-Learning Innovative Teaching and Learning Methods
ISSN1473-7507
h-index22
i10-index54
Total citations2,434
Top institutions publishing hereLoughborough University
Journal websitewww.tandfonline.com
You getA submission-ready PDF and the editable LaTeX source — ready to submit.

Papers published in Innovation in Teaching and Learning in Information and Computer Sciences per year

3
2003
10
2004
17
2005
38
2006
36
2007
9
2008
22
2009
25
2010
27
2011
8
2012
8
2013
5
2014

Citation impact of Innovation in Teaching and Learning in Information and Computer Sciences by publication year

25
2003
68
2004
113
2005
1.2K
2006
141
2007
63
2008
184
2009
173
2010
253
2011
71
2012
53
2013
19
2014

Citations each year’s papers have accumulated so far — the most recent years are still building up.

Most-cited papers in Innovation in Teaching and Learning in Information and Computer Sciences

DigEuLit: Concepts and Tools for Digital Literacy Development

Allan R. Martin, Jan Grudziecki · 1 Dec 2006

In the e-permeated society, a society also increasingly unpredictable and uncertain, “digital literacy” becomes not only a key factor in enabling participation in education, as well as employment and other aspects of social life, but also a means of gaining some understanding of the world. The DigEuLit project, funded by the EC eLearning Initiative, has…

Six Frames for Information literacy Education: a conceptual framework for interpreting the relationships between theory and practice.

Christine Bruce, Sylvia L. Edwards, Mandy Lupton · 1 Jan 2006

Information literacy educators are daily challenged by an environment in which colleagues and students bring very different perspectives to curriculum design, teaching and learning, and by the need to apply theories of learning to information literacy education in coherent ways. The purpose of this paper is to propose a model, Six Frames for Information Literacy…

Learner immersion engagement in the 3D virtual world: principles emerging from the DELVE project

Nick J. Mount, Clare Chambers, Daniel C. Weaver et al. · 1 Nov 2009

This paper investigates the issues surrounding the use of 3D virtual worlds to enhance learner immersion through improved learner engagement. It is based on findings from the JISC-funded DEsign of Learning spaces in 3D Virtual Environments (DELVE) project at the University of Nottingham and the Open University. Given continued confusion about the term immersion, what…

Employability Skills: Student Perceptions of an IS Final Year Capstone Subject

Susan Keller, Craig M. Parker, Caroline Chan · 1 Jun 2011

This paper reports on a qualitative study aimed at investigating whether Australian Information Systems (IS) students undertaking a team-based capstone subject with real clients believed the subject had enhanced their employability skills. This research is important because UK and Australian governments and industry are increasingly pressuring universities to focus more on developing employability skills. The…

Classifications of plagiarism detection engines

Thomas Lancaster, Fintan Culwin · 1 May 2005

Plagiarism detection engines are programs that compare documents with possible sources in order to identify similarity and so discover student submissions that might be plagiarised. They are currently classified as either attribute counting systems or structure metric systems. However these classifications are inconsistently applied and inadequate, an area of particular relevance when classifying free text…

Innovation in Teaching and Learning in Information and Computer Sciences template — frequently asked questions

How do I write a paper in the Innovation in Teaching and Learning in Information and Computer Sciences format?
In DocuGuru you write your manuscript in a normal editor — no LaTeX setup required — and select the Innovation in Teaching and Learning in Information and Computer Sciences template. When you export, DocuGuru compiles the paper into the official Taylor & Francis format and hands you a submission-ready PDF along with the editable LaTeX source.
What reference style does Innovation in Teaching and Learning in Information and Computer Sciences use?
Innovation in Teaching and Learning in Information and Computer Sciences uses Author–year (Chicago, T&F) references, shown as author–year markers such as (Smith, 2023) in the text. DocuGuru formats every in-text citation and the reference list in this exact style automatically. A reference appears like this: Smith, Ada, Ben Jones, and Cara Lee. 2023. "A Representative Article Title." Innovation in Teaching and Learning in Information and Computer Sciences 12 (3): 45–58.
Do I need to know LaTeX to submit to Innovation in Teaching and Learning in Information and Computer Sciences?
No. DocuGuru generates the interact LaTeX class and compiles the PDF for you in the background, so you get a Taylor & Francis-ready Innovation in Teaching and Learning in Information and Computer Sciences document without writing any LaTeX. If you do want it, the LaTeX source is included in the export.
Can I import an existing draft into the Innovation in Teaching and Learning in Information and Computer Sciences template?
Yes. Paste or upload your current manuscript — Word, LaTeX, Markdown, or plain text — and DocuGuru reflows it into the Innovation in Teaching and Learning in Information and Computer Sciences format with correct headings, figures, tables, and author–year citations.
Who publishes Innovation in Teaching and Learning in Information and Computer Sciences?
Innovation in Teaching and Learning in Information and Computer Sciences is a multidisciplinary journal published by Taylor & Francis. DocuGuru's Innovation in Teaching and Learning in Information and Computer Sciences template matches Taylor & Francis's official submission format.
Can I export a submission-ready Innovation in Teaching and Learning in Information and Computer Sciences PDF?
Yes — DocuGuru produces a PDF built with the official Innovation in Teaching and Learning in Information and Computer Sciences template (the interact class) that is ready to submit to Taylor & Francis, together with the matching LaTeX source files.
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