Example of IEEE Transactions on Learning Technologies format
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Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format
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Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format Example of IEEE Transactions on Learning Technologies format
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open access Open Access
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IEEE Transactions on Learning Technologies — Template for authors

Publisher: IEEE
Categories Rank Trend in last 3 yrs
Education #25 of 1319 up up by 4 ranks
Engineering (all) #18 of 297 down down by 1 rank
Computer Science Applications #93 of 693 down down by 17 ranks
journal-quality-icon Journal quality:
High
calendar-icon Last 4 years overview: 189 Published Papers | 1382 Citations
indexed-in-icon Indexed in: Scopus
last-updated-icon Last updated: 02/07/2020
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Related Journals

open access Open Access

Taylor and Francis

Quality:  
Good
CiteRatio: 1.2
SJR: 0.337
SNIP: 0.702
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: 5.1
SJR: 0.919
SNIP: 1.28
open access Open Access

Taylor and Francis

Quality:  
High
CiteRatio: 4.1
SJR: 0.854
SNIP: 1.731

Journal Performance & Insights

Impact Factor

CiteRatio

Determines the importance of a journal by taking a measure of frequency with which the average article in a journal has been cited in a particular year.

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

2.714

17% from 2018

Impact factor for IEEE Transactions on Learning Technologies from 2016 - 2019
Year Value
2019 2.714
2018 2.315
2017 1.869
2016 2.267
graph view Graph view
table view Table view

7.3

22% from 2019

CiteRatio for IEEE Transactions on Learning Technologies from 2016 - 2020
Year Value
2020 7.3
2019 6.0
2018 5.3
2017 5.7
2016 5.6
graph view Graph view
table view Table view

insights Insights

  • Impact factor of this journal has increased by 17% in last year.
  • This journal’s impact factor is in the top 10 percentile category.

insights Insights

  • CiteRatio of this journal has increased by 22% in last years.
  • This journal’s CiteRatio is in the top 10 percentile category.

SCImago Journal Rank (SJR)

Source Normalized Impact per Paper (SNIP)

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.

1.376

47% from 2019

SJR for IEEE Transactions on Learning Technologies from 2016 - 2020
Year Value
2020 1.376
2019 0.935
2018 0.73
2017 0.783
2016 0.982
graph view Graph view
table view Table view

2.395

5% from 2019

SNIP for IEEE Transactions on Learning Technologies from 2016 - 2020
Year Value
2020 2.395
2019 2.29
2018 2.075
2017 2.412
2016 2.17
graph view Graph view
table view Table view

insights Insights

  • SJR of this journal has increased by 47% in last years.
  • This journal’s SJR is in the top 10 percentile category.

insights Insights

  • SNIP of this journal has increased by 5% in last years.
  • This journal’s SNIP is in the top 10 percentile category.

IEEE Transactions on Learning Technologies

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IEEE

IEEE Transactions on Learning Technologies

Approved by publishing and review experts on SciSpace, this template is built as per for IEEE Transactions on Learning Technologies formatting guidelines as mentioned in IEEE author instructions. The current version was created on 02 Jul 2020 and has been used by 289 authors to write and format their manuscripts to this journal.

Education

General Engineering

Computer Science Applications

Social Sciences

i
Last updated on
02 Jul 2020
i
ISSN
1939-1382
i
Impact Factor
Very High - 3.67
i
Open Access
No
i
Sherpa RoMEO Archiving Policy
Green faq
i
Plagiarism Check
Available via Turnitin
i
Endnote Style
Download Available
i
Bibliography Name
IEEEtran
i
Citation Type
Numbered
[25]
i
Bibliography Example
C. W. J. Beenakker, “Specular andreev reflection in graphene,” Phys. Rev. Lett., vol. 97, no. 6, p.

Top papers written in this journal

open accessOpen access Journal Article DOI: 10.1109/TLT.2012.11
Context-Aware Recommender Systems for Learning: A Survey and Future Challenges

Abstract:

Recommender systems have been researched extensively by the Technology Enhanced Learning (TEL) community during the last decade. By identifying suitable resources from a potentially overwhelming variety of choices, such systems offer a promising approach to facilitate both learning and teaching tasks. As learning is taking pl... Recommender systems have been researched extensively by the Technology Enhanced Learning (TEL) community during the last decade. By identifying suitable resources from a potentially overwhelming variety of choices, such systems offer a promising approach to facilitate both learning and teaching tasks. As learning is taking place in extremely diverse and rich environments, the incorporation of contextual information about the user in the recommendation process has attracted major interest. Such contextualization is researched as a paradigm for building intelligent systems that can better predict and anticipate the needs of users, and act more efficiently in response to their behavior. In this paper, we try to assess the degree to which current work in TEL recommender systems has achieved this, as well as outline areas in which further work is needed. First, we present a context framework that identifies relevant context dimensions for TEL applications. Then, we present an analysis of existing TEL recommender systems along these dimensions. Finally, based on our survey results, we outline topics on which further research is needed. read more read less

Topics:

Recommender system (56%)56% related to the paper, Personalization (54%)54% related to the paper, Context awareness (53%)53% related to the paper, Educational technology (52%)52% related to the paper, Intelligent decision support system (52%)52% related to the paper
527 Citations
open accessOpen access Journal Article DOI: 10.1109/TLT.2010.27
A Virtual Reality Dance Training System Using Motion Capture Technology
Jacky C. P. Chan1, Howard Leung1, Jeff K. T. Tang1, Taku Komura2

Abstract:

In this paper, a new dance training system based on the motion capture and virtual reality (VR) technologies is proposed. Our system is inspired by the traditional way to learn new movements-imitating the teacher's movements and listening to the teacher's feedback. A prototype of our proposed system is implemented, in which a... In this paper, a new dance training system based on the motion capture and virtual reality (VR) technologies is proposed. Our system is inspired by the traditional way to learn new movements-imitating the teacher's movements and listening to the teacher's feedback. A prototype of our proposed system is implemented, in which a student can imitate the motion demonstrated by a virtual teacher projected on the wall screen. Meanwhile, the student's motions will be captured and analyzed by the system based on which feedback is given back to them. The result of user studies showed that our system can successfully guide students to improve their skills. The subjects agreed that the system is interesting and can motivate them to learn. read more read less

Topics:

Virtual reality (56%)56% related to the paper, Motion capture (53%)53% related to the paper, Dance education (53%)53% related to the paper, Training system (53%)53% related to the paper, Dance (51%)51% related to the paper
361 Citations
open accessOpen access Journal Article DOI: 10.1109/TLT.2013.37
Augmented Reality Learning Experiences: Survey of Prototype Design and Evaluation
Marc Ericson C. Santos1, Angie Chen1, Takafumi Taketomi1, Goshiro Yamamoto1, Jun Miyazaki2, Hirokazu Kato1

Abstract:

Augmented reality (AR) technology is mature for creating learning experiences for K-12 (pre-school, grade school, and high school) educational settings. We reviewed the applications intended to complement traditional curriculum materials for K-12. We found 87 research articles on augmented reality learning experiences (ARLEs)... Augmented reality (AR) technology is mature for creating learning experiences for K-12 (pre-school, grade school, and high school) educational settings. We reviewed the applications intended to complement traditional curriculum materials for K-12. We found 87 research articles on augmented reality learning experiences (ARLEs) in the IEEE Xplore Digital Library and other learning technology publications. Forty-three of these articles conducted user studies, and seven allowed the computation of an effect size to the performance of students in a test. In our meta-analysis, research show that ARLEs achieved a widely variable effect on student performance from a small negative effect to a large effect, with a mean effect size of 0.56 or moderate effect. To complement this finding, we performed a qualitative analysis on the design aspects for ARLEs: display hardware, software libraries, content authoring solutions, and evaluation techniques. We explain that AR incur three inherent advantages: real world annotation, contextual visualization, and vision-haptic visualization. We illustrate these advantages through the exemplifying prototypes, and ground these advantages to multimedia learning theory, experiential learning theory, and animate vision theory. Insights from this review are aimed to inform the design of future ARLEs. read more read less

Topics:

Educational technology (58%)58% related to the paper, Experiential learning (58%)58% related to the paper, Augmented reality (57%)57% related to the paper, Learning theory (54%)54% related to the paper
358 Citations
Journal Article DOI: 10.1109/TLT.2016.2599522
Perceiving Learning at a Glance: A Systematic Literature Review of Learning Dashboard Research

Abstract:

This paper presents a systematic literature review of the state-of-the-art of research on learning dashboards in the fields of Learning Analytics and Educational Data Mining. Research on learning dashboards aims to identify what data is meaningful to different stakeholders and how data can be presented to support sense-making... This paper presents a systematic literature review of the state-of-the-art of research on learning dashboards in the fields of Learning Analytics and Educational Data Mining. Research on learning dashboards aims to identify what data is meaningful to different stakeholders and how data can be presented to support sense-making processes. Learning dashboards are becoming popular due to the increased use of educational technologies, such as Learning Management Systems (LMS) and Massive Open Online Courses (MOOCs). The initial search of five main academic databases and GScholar resulted in 346 papers out of which 55 papers were included in the final analysis. Our review distinguishes different kinds of research studies as well as various aspects of learning dashboards and their maturity regarding evaluation. As the research field is still relatively young, most studies are exploratory and proof-of-concept. The review concludes by offering a definition for learning dashboards and by outlining open issues and future lines of work in the area of learning dashboards. There is a need for longitudinal research in authentic settings and studies that systematically compare different dashboard designs. read more read less

Topics:

Educational data mining (62%)62% related to the paper, Learning analytics (61%)61% related to the paper, Educational technology (61%)61% related to the paper, Learning Management (58%)58% related to the paper, Educational research (53%)53% related to the paper
320 Citations
open accessOpen access Journal Article DOI: 10.1109/TLT.2014.2329293
Gamification for Engaging Computer Science Students in Learning Activities: A Case Study
María Blanca Ibáñez1, Angela Di-Serio2, Carlos Delgado-Kloos1

Abstract:

Gamification is the use of game design elements in non-game settings to engage participants and encourage desired behaviors. It has been identified as a promising technique to improve students' engagement which could have a positive impact on learning. This study evaluated the learning effectiveness and engagement appeal of a... Gamification is the use of game design elements in non-game settings to engage participants and encourage desired behaviors. It has been identified as a promising technique to improve students' engagement which could have a positive impact on learning. This study evaluated the learning effectiveness and engagement appeal of a gamified learning activity targeted at the learning of C-programming language. Furthermore, the study inquired into which gamified learning activities were more appealing to students. The study was conducted using the mixed-method sequential explanatory protocol. The data collected and analysed included logs, questionnaires, and pre- and post-tests. The results of the evaluation show positive effects on the engagement of students toward the gamified learning activities and a moderate improvement in learning outcomes. Students reported different motivations for continuing and stopping activities once they completed the mandatory assignment. The preferences for different gamified activities were also conditioned by academic milestones. read more read less

Topics:

Cooperative learning (63%)63% related to the paper, Experiential learning (62%)62% related to the paper, Learning sciences (60%)60% related to the paper, Educational technology (59%)59% related to the paper
295 Citations
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IEEE Transactions on Learning Technologies format uses IEEEtran citation style.

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Frequently asked questions

1. Can I write IEEE Transactions on Learning Technologies in LaTeX?

Absolutely not! Our tool has been designed to help you focus on writing. You can write your entire paper as per the IEEE Transactions on Learning Technologies guidelines and auto format it.

2. Do you follow the IEEE Transactions on Learning Technologies guidelines?

Yes, the template is compliant with the IEEE Transactions on Learning Technologies 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 IEEE Transactions on Learning Technologies?

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 IEEE Transactions on Learning Technologies citation style.

4. Can I use the IEEE Transactions on Learning Technologies templates for free?

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 IEEE Transactions on Learning Technologies.

5. Can I use a manuscript in IEEE Transactions on Learning Technologies 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 IEEE Transactions on Learning Technologies that you can download at the end.

6. How long does it usually take you to format my papers in IEEE Transactions on Learning Technologies?

It only takes a matter of seconds to edit your manuscript. Besides that, our intuitive editor saves you from writing and formatting it in IEEE Transactions on Learning Technologies.

7. Where can I find the template for the IEEE Transactions on Learning Technologies?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Transactions on Learning Technologies's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

8. Can I reformat my paper to fit the IEEE Transactions on Learning Technologies's guidelines?

Of course! You can do this using our intuitive editor. It's very easy. If you need help, our support team is always ready to assist you.

9. IEEE Transactions on Learning Technologies an online tool or is there a desktop version?

SciSpace's IEEE Transactions on Learning Technologies is currently available as an online tool. We're developing a desktop version, too. You can request (or upvote) any features that you think would be helpful for you and other researchers in the "feature request" section of your account once you've signed up with us.

10. I cannot find my template in your gallery. Can you create it for me like IEEE Transactions on Learning Technologies?

Sure. You can request any template and we'll have it setup within a few days. You can find the request box in Journal Gallery on the right side bar under the heading, "Couldn't find the format you were looking for like IEEE Transactions on Learning Technologies?”

11. What is the output that I would get after using IEEE Transactions on Learning Technologies?

After writing your paper autoformatting in IEEE Transactions on Learning Technologies, you can download it in multiple formats, viz., PDF, Docx, and LaTeX.

12. Is IEEE Transactions on Learning Technologies's impact factor high enough that I should try publishing my article there?

To be honest, the answer is no. The impact factor is one of the many elements that determine the quality of a journal. Few of these factors include review board, rejection rates, frequency of inclusion in indexes, and Eigenfactor. You need to assess all these factors before you make your final call.

13. What is Sherpa RoMEO Archiving Policy for IEEE Transactions on Learning Technologies?

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 IEEE Transactions on Learning Technologies. 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 IEEE Transactions on Learning Technologies?

The 5 most common citation types in order of usage for IEEE Transactions on Learning Technologies are:.

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

15. How do I submit my article to the IEEE Transactions on Learning Technologies?

It is possible to find the Word template for any journal on Google. However, why use a template when you can write your entire manuscript on SciSpace , auto format it as per IEEE Transactions on Learning Technologies's guidelines and download the same in Word, PDF and LaTeX formats? Give us a try!.

16. Can I download IEEE Transactions on Learning Technologies 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 IEEE Transactions on Learning Technologies Endnote style according to Elsevier guidelines.

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