Example of International Journal of Learning Technology format
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Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format
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Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format Example of International Journal of Learning Technology format
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open access Open Access

International Journal of Learning Technology — Template for authors

Categories Rank Trend in last 3 yrs
Education #808 of 1319 down down by 302 ranks
journal-quality-icon Journal quality:
Medium
calendar-icon Last 4 years overview: 66 Published Papers | 66 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 17/06/2020
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Related Journals

open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 2.2
SJR: 1.098
SNIP: 1.835
open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 3.5
SJR: 1.299
SNIP: 1.605
open access Open Access
recommended Recommended

Taylor and Francis

Quality:  
High
CiteRatio: 3.2
SJR: 1.218
SNIP: 1.195
open access Open Access
recommended Recommended

Taylor and Francis

Quality:  
High
CiteRatio: 5.9
SJR: 2.212
SNIP: 2.09

Journal Performance & Insights

CiteRatio

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

A measure of average citations received per peer-reviewed paper published in the journal.

Measures weighted citations received by the journal. Citation weighting depends on the categories and prestige of the citing journal.

Measures actual citations received relative to citations expected for the journal's category.

1.0

11% from 2019

CiteRatio for International Journal of Learning Technology from 2016 - 2020
Year Value
2020 1.0
2019 0.9
2018 0.9
2017 1.2
2016 1.0
graph view Graph view
table view Table view

0.23

1% from 2019

SJR for International Journal of Learning Technology from 2016 - 2020
Year Value
2020 0.23
2019 0.233
2018 0.202
2017 0.184
2016 0.209
graph view Graph view
table view Table view

0.37

24% from 2019

SNIP for International Journal of Learning Technology from 2016 - 2020
Year Value
2020 0.37
2019 0.486
2018 0.396
2017 0.434
2016 0.712
graph view Graph view
table view Table view

insights Insights

  • CiteRatio of this journal has increased by 11% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

insights Insights

  • SJR of this journal has decreased by 1% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has decreased by 24% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

International Journal of Learning Technology

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Inderscience Publishers

International Journal of Learning Technology

Approved by publishing and review experts on SciSpace, this template is built as per for International Journal of Learning Technology formatting guidelines as mentioned in Inderscience Publishers author instructions. The current version was created on 16 Jun 2020 and has been used by 737 authors to write and format their manuscripts to this journal.

i
Last updated on
16 Jun 2020
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ISSN
1477-8386
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Open Access
No
i
Sherpa RoMEO Archiving Policy
Yellow faq
i
Plagiarism Check
Available via Turnitin
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Endnote Style
Download Available
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Bibliography Name
plainnat
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Citation Type
Author Year
(Blonder et al., 1982)
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Bibliography Example
Beenakker, C. W. J. (2006). ‘Specular Andreev Reflection in Graphene’. Phys. Rev. Lett., Vol 97, No 6, pp. 067007.

Top papers written in this journal

Journal Article DOI: 10.1504/IJLT.2010.031613
Computer supported ubiquitous learning environment for vocabulary learning
Hiroaki Ogata1, Chengjiu Yin1, Moushir M. El-Bishouty1, Yoneo Yano1

Abstract:

Ubiquitous computing could help the organisation and the mediation of social interactions wherever and whenever these situations might occur. Using those technologies enables the learning environment to be embedded in real daily life. One of the most important ubiquitous technologies is the radio frequency identification (RFI... Ubiquitous computing could help the organisation and the mediation of social interactions wherever and whenever these situations might occur. Using those technologies enables the learning environment to be embedded in real daily life. One of the most important ubiquitous technologies is the radio frequency identification (RFID) tag, which is very useful and efficient to realise ubiquitous computing, by mapping the real objects and the information into a virtual world. In the near future, RFID tags will be embedded in a lot of physical objects in order to trace the shipping of the products, and so forth. This paper proposes a computer assisted language learning (CALL) environment called tag added learning objects (TANGO). TANGO detects the objects around the learner using RFID tags, and assigns some questions to the learner related to the detected objects that he usually uses during daily life to improve his vocabulary knowledge. Also, this environment allows the learners to share their knowledge through RFID tags and to learn a language with authentic and tangible objects. This environment is implemented and evaluated. read more read less

Topics:

Ubiquitous robot (58%)58% related to the paper, Radio-frequency identification (56%)56% related to the paper, Ubiquitous computing (56%)56% related to the paper, Learning environment (54%)54% related to the paper, Robot learning (54%)54% related to the paper
78 Citations
Journal Article DOI: 10.1504/IJLT.2011.040150
A ubiquitous learning model focused on learner interaction

Abstract:

Ubiquitous learning refers to learning supported by the use of mobile and wireless communication technologies, sensors and location/tracking mechanisms, that work together to integrate students with their environment. In this paper, we present a ubiquitous learning model called location and context-aware learning (LOCAL). The... Ubiquitous learning refers to learning supported by the use of mobile and wireless communication technologies, sensors and location/tracking mechanisms, that work together to integrate students with their environment. In this paper, we present a ubiquitous learning model called location and context-aware learning (LOCAL). The model is self-sufficient since it does not require complement of an ubiquitous middleware. Moreover, LOCAL uses location information and learner profiles in a generic approach, it was not designed to any specific kind of learning application. The main goal of the model consists in stimulating interaction among learners. The model was implemented and the initial results attest its usefulness. Two functionalities tests proved that LOCAL can be used to stimulate the learner interaction and to distribute contextualised learning objects. In a third test, LOCAL usefulness was positively evaluated by 20 individuals of a computer engineering undergraduate course. read more read less

Topics:

Synchronous learning (61%)61% related to the paper, Robot learning (60%)60% related to the paper, Educational technology (59%)59% related to the paper, Ubiquitous robot (58%)58% related to the paper, Ubiquitous computing (57%)57% related to the paper
49 Citations
open accessOpen access Journal Article
Authoring game-based adaptive units of learning with IMS Learning Design and e-Adventure
Daniel Burgos1, Pablo Moreno-Ger2, José Luis Sierra2, Baltasar Fernández-Manjón2, Rob Koper1

Abstract:

Electronic games and simulations (eGames) are a valuable support for adaptive learning. This adaptation can be based on different inputs, such as the user's performance, behaviour or cognitive load. Both adaptation and eGames can be modelled with IMS Learning Design (IMS LD) or integrated from an external resource. In this ar... Electronic games and simulations (eGames) are a valuable support for adaptive learning. This adaptation can be based on different inputs, such as the user's performance, behaviour or cognitive load. Both adaptation and eGames can be modelled with IMS Learning Design (IMS LD) or integrated from an external resource. In this article we show the relation between IMS LD and the Project when it comes to authoring adaptive Units of Learning (UoLs) integrated with eGames. We first describe the challenges of this objective and the several different solutions on authoring and integration. We also describe the content-centred authoring approach in , and the need for a communication service with IMS LD that makes a bidirectional influence on the user's adaptive learning experience. At the end, we describe a practical example that illustrates how an adaptive IMS LD UoL with an integrated eGame is developed. read more read less

Topics:

IMS Learning Design (75%)75% related to the paper, Adaptive learning (58%)58% related to the paper, Service (systems architecture) (51%)51% related to the paper, Adaptation (computer science) (51%)51% related to the paper
45 Citations
Journal Article DOI: 10.1504/IJLT.2010.034549
Improving assessment evidence in e-learning products: some solutions for reliability
Kathleen Scalise1, Tara Madhyastha, Jim Minstrell, Mark Wilson2

Abstract:

E-learning products such as cognitive diagnosers interact with learners and collect assessment data to build a picture of some aspect of a learner's thinking. One concern for this rapidly emerging area of e-learning is whether the diagnostic conclusions of such products are based on sound evidence, including whether or not th... E-learning products such as cognitive diagnosers interact with learners and collect assessment data to build a picture of some aspect of a learner's thinking. One concern for this rapidly emerging area of e-learning is whether the diagnostic conclusions of such products are based on sound evidence, including whether or not the diagnostics are reliable. In online settings, the information may be used for adaptive delivery of content, individualising learning materials, dynamic feedback, teacher feed-forward, cognitive mapping, score reporting and course placement. A reliability index quantifies the impact that measurement error at the individual level may have on the accuracy of the inference. This paper investigates some simple solutions that substantially improve reliability within one e-learning product. These solutions include providing questions of appropriate difficulty that help to maximise item information across the distribution. read more read less

Topics:

Reliability (statistics) (52%)52% related to the paper
25 Citations
Journal Article DOI: 10.1504/IJLT.2010.031617
Connectivism: the network metaphor of learning
Mohamed Amine Chatti1, Matthias Jarke1, Christoph Quix1

Abstract:

Connectivism is a new learning theory introduced by George Siemens in 2004 in order to cope with the increasing complexity and fast-paced change of the new knowledge era. This paper addresses the network metaphor of learning, which explains learning in terms of networks. We begin by introducing the connectivism approach to le... Connectivism is a new learning theory introduced by George Siemens in 2004 in order to cope with the increasing complexity and fast-paced change of the new knowledge era. This paper addresses the network metaphor of learning, which explains learning in terms of networks. We begin by introducing the connectivism approach to learning based on Siemens' work, and then provide an account of our view of connectivism by discussing the learning as a network (LaaN) perspective. We then present knowledge ecology as a social landscape that mirrors the complex nature and wide scope of knowledge, and continue by contrasting knowledge ecology to popular social forms that have been introduced in the CSCL and CSCW literature. These include communities of practice, knots, coalitions, intensional networks, and ad hoc transient communities. We end by comparing the connectivism/LaaN perspective with dominant learning and social theories. These theories are behaviourism, cognitivism, (social) constructivism, situated learning, activity theory, and actor-network theory. read more read less

Topics:

Connectivism (80%)80% related to the paper, Learning theory (60%)60% related to the paper, Computer-supported collaborative learning (60%)60% related to the paper, Situated learning (55%)55% related to the paper, Social theory (50%)50% related to the paper
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24 Citations
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Frequently asked questions

1. Can I write International Journal of Learning Technology in LaTeX?

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2. Do you follow the International Journal of Learning Technology guidelines?

Yes, the template is compliant with the International Journal of Learning Technology guidelines. Our experts at SciSpace ensure that. If there are any changes to the journal's guidelines, we'll change our algorithm accordingly.

3. Can I cite my article in multiple styles in International Journal of Learning Technology?

Of course! We support all the top citation styles, such as APA style, MLA style, Vancouver style, Harvard style, and Chicago style. For example, when you write your paper and hit autoformat, our system will automatically update your article as per the International Journal of Learning Technology citation style.

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Sign up for our free trial, and you'll be able to use all our features for seven days. You'll see how helpful they are and how inexpensive they are compared to other options, Especially for International Journal of Learning Technology.

5. Can I use a manuscript in International Journal of Learning Technology that I have written in MS Word?

Yes. You can choose the right template, copy-paste the contents from the word document, and click on auto-format. Once you're done, you'll have a publish-ready paper International Journal of Learning Technology that you can download at the end.

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12. Is International Journal of Learning Technology's impact factor high enough that I should try publishing my article there?

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13. What is Sherpa RoMEO Archiving Policy for International Journal of Learning Technology?

SHERPA/RoMEO Database

We extracted this data from Sherpa Romeo to help researchers understand the access level of this journal in accordance with the Sherpa Romeo Archiving Policy for International Journal of Learning Technology. The table below indicates the level of access a journal has as per Sherpa Romeo's archiving policy.

RoMEO Colour Archiving policy
Green Can archive pre-print and post-print or publisher's version/PDF
Blue Can archive post-print (ie final draft post-refereeing) or publisher's version/PDF
Yellow Can archive pre-print (ie pre-refereeing)
White Archiving not formally supported
FYI:
  1. Pre-prints as being the version of the paper before peer review and
  2. Post-prints as being the version of the paper after peer-review, with revisions having been made.

14. What are the most common citation types In International Journal of Learning Technology?

The 5 most common citation types in order of usage for International Journal of Learning Technology are:.

S. No. Citation Style Type
1. Author Year
2. Numbered
3. Numbered (Superscripted)
4. Author Year (Cited Pages)
5. Footnote

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16. Can I download International Journal of Learning Technology in Endnote format?

Yes, SciSpace provides this functionality. After signing up, you would need to import your existing references from Word or Bib file to SciSpace. Then SciSpace would allow you to download your references in International Journal of Learning Technology Endnote style according to Elsevier guidelines.

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