[AISWorld] [IJDET] Contents of Vol. 15, No. 1 of International Journal of Distance Education Technologies (IJDET, an EI and Web of Science's ESCI journal)

Thu Dec 29 14:49:55 EST 2016

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The contents of the latest issue of:
International Journal of Distance Education Technologies (IJDET)
Volume 15, Issue 1
Indexed by: Compendex (Elsevier Engineering Index), Web of Science's ESCI, INSPEC, PsycINFO®, SCOPUS
Published: Quarterly in Print and Electronically
ISSN: 1539-3100; EISSN: 1539-3119; 
Published by IGI Global Publishing, Hershey, USA
www.igi-global.com/ijdet
Editor-in-Chief: Maiga Chang (Athabasca University, Canada)

Note: There are no submission or acceptance fees for manuscripts submitted to the International Journal of Distance Education Technologies (IJDET) if you choose traditional publication mode. All manuscripts are reviewed by three to four reviewers based on a double-blind peer review process.

ARTICLE 1

A Peer-Assessment Mobile Kung Fu Education Approach to Improving Students' Affective Performances (pages 1-14)
Fon-Chu Kuo, Jun-Ming Chen, Hui-Chun Chu, Kai-Hsiang Yang, Yi-Hsuan Chen
Peer-assessment and video comment-sharing are effective learning strategies for students to receive feedback on their learning. Researchers have emphasized the need for well-designed peer involvement in order to improve students' abilities in the cognitive and affective domains. Although student perceptions of peer-assessment have been studied extensively in higher education, few studies have focused on the effects of the peer-assessment strategy on students' performance from the affective perspective, especially in Physical Education courses. Therefore, in this study, a peer-assessment mobile physical education approach is proposed for developing a mobile learning system for a Kung Fu Tai-Chi physical education course. To evaluate the effectiveness of the proposed approach, an experiment was conducted by assigning 42 college students to participate in this learning activity. The experimental results show that the proposed approach not only promoted the students' learning interest and motivation, but also improved their learning self-efficacy and socialization.
http://www.igi-global.com/article/a-peer-assessment-mobile-kung-fu-education-approach-to-improving-students-affective-performances/169202

ARTICLE 2

Mining Learning Behavioral Patterns of Students by Sequence Analysis in Cloud Classroom (pages 15-27)
Sanya Liu, Zhenfan Hu, Xian Peng, Zhi Liu, H. N. H. Cheng, Jianwen Sun
In a MOOC environment, each student's interaction with the course content is a crucial clue for learning analytics, which offers an opportunity to record learner activity of unprecedented scale. In online learning, the educators and the administrators need to get informed with students' learning states since the performance of unsupervised learning style is difficult to control. Learning analytics considered as a key process is to provide students and educators with evidence-based, analytical and contextual outcomes in a way of making sense of their learning engagements. In this conceptual framework, this manuscript per the authors intends to adopt sequential analysis method to exploit students' learning behavior patterns in Cloud classroom (an online course platform based on MOOC). Moreover, this research also compares the behavioral patterns of four grade levels in a university, with the purpose of finding the most key behavioral patterns of each grade group.
http://www.igi-global.com/article/mining-learning-behavioral-patterns-of-students-by-sequence-analysis-in-cloud-classroom/169203

ARTICLE 3

Recognition of Learner's Personality Traits through Digital Annotations in Distance Learning (pages 28-51)
Nizar Omheni, Anis Kalboussi, Omar Mazhoud, Ahmed Hadj Kacem
Researchers in distance education are interested in observing and modelling of learner's personality profile, and adapting their learning experiences accordingly. When learners read and interact with their reading materials, they do unselfconscious activities like annotation which may be key feature of their personalities. Annotation activity requires the reader to be active, to think critically and to analyse what has been written, and to make specific annotations in the margins of the text. These traces are reflected through underlining, highlighting, scribbling comments, summarizing, asking questions, expressing confusion or ambiguity, and evaluating the content of reading. In this paper, the authors present a semi-automatic approach to build learners' personality profiles based on their annotation traces yielded during active reading sessions. The experimental results show the system's efficiency to measure, with reasonable accuracy, the scores of learner's personality traits.
http://www.igi-global.com/article/recognition-of-learners-personality-traits-through-digital-annotations-in-distance-learning/169204

ARTICLE 4

Automated Scoring of Chinese Engineering Students' English Essays (pages 52-68)
Ming Liu, Yuqi Wang, Weiwei Xu, Li Liu
The number of Chinese engineering students has increased greatly since 1999. Rating the quality of these students' English essays has thus become time-consuming and challenging. This paper presents a novel automatic essay scoring algorithm called PSO-SVR, based on a machine learning algorithm, Support Vector Machine for Regression (SVR), and a computational intelligence algorithm, Particle Swarm Optimization, which optimizes the parameters of SVR kernel functions. Three groups of essays, written by chemical, electrical and computer science engineering majors respectively, were used for evaluation. The study result shows that this PSO-SVR outperforms traditional essay scoring algorithms, such as multiple linear regression, support vector machine for regression and K Nearest Neighbor algorithm. It indicates that PSO-SVR is more robust in predicting irregular datasets, because the repeated use of simple content words may result in the low score of an essay, even though the system detects higher cohesion but no spelling error.
http://www.igi-global.com/article/automated-scoring-of-chinese-engineering-students-english-essays/169205

ARTICLE 5

A Comparative Study on Various Vocabulary Knowledge Scales for Predicting Vocabulary Pre-Knowledge (pages 69-81)
Di Zou, Haoran Xie, Yanghui Rao, Tak-Lam Wong, Fu Lee Wang, Qingyuan Wu
The world has encountered and witnessed the great popularity of various emerging e-learning resources such as massive open online courses (MOOCs), textbooks and videos with the development of the big data era. It is critical to understand the characteristics of users to assist them to find desired and relevant learning resources in such a large volume of resources. For example, understanding the pre-knowledge on vocabulary of learners is very prominent and useful for language learning systems. The language learning effectiveness can be significantly improved if the pre-knowledge levels of learners on vocabulary can be accurately predicted. In this research, the authors model the vocabulary of learners by extracting their history of learning documents and identify the suitable vocabulary knowledge scales (VKS) for pre-knowledge prediction. The experimental results on real participants verify that the optimal VKS and the proposed predicting model are powerful and effective.
http://www.igi-global.com/article/a-comparative-study-on-various-vocabulary-knowledge-scales-for-predicting-vocabulary-pre-knowledge/169206

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For full copies of the above articles, check for this issue of the International Journal of Distance Education Technologies (IJDET) in your institution's library. This journal is also included in the IGI Global aggregated "InfoSci-Journals" database: www.igi-global.com/isj.

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CALL FOR PAPERS

The electronic version of this cfp can be seen at
http://maiga.athabascau.ca/editors/IJDET-Call_for_Papers-General.pdf

International Journal of Distance Education Technologies (IJDET)
(http://www.igi-global.com/journal/international-journal-distance-education-technologies/1078)

Mission of IJDET:
The International Journal of Distance Education Technologies (IJDET) publishes original research articles of 
distance education four issues per year. IJDET is a primary forum for researchers and practitioners 
to disseminate practical solutions to the automation of open and distance learning. This journal is targeted 
to academic researchers and engineers who work with distance learning programs and software systems, 
as well as general participants of distance education. All manuscripts submitted to the journal are peer-
reviewed according to the procedure consisting of initial review, peer review, and recommendation.

Editor in Chief:
Dr. Maiga Chang (maiga.chang at gmail.com)

Indices:
ACM Digital Library, Australian Education Index, Compendex (Elsevier EI), 
DBLP, EBSCOhost, ERIC, Google Scholar, INSPEC, PsycINFOR, SCOPUS, Web of Science's ESCI, and many others 

Suggested topics:
IJDET is an EI and Web of Science's ESCI journal. The scope of the journal includes, but is not limited to:
- Assessment
- Distance Learning for Culture and Arts
- Intelligent and Adaptive Learning
- Intelligent Agents and Multi-Agent Systems
- Mobile Learning
- Nurse Medical Healthcare
- Pedagogical Issues
- Social Learning
- Serious Games for Distance Education
- Science, Technology, Engineering, and Math (STEM) Education
- Technology Enhanced Learning
- Ubiquitous Learning
- Virtual Worlds for Distance Education

Interested authors should consult the journal's manuscript submission guidelines
http://www.igi-global.com/calls-for-papers/international-journal-distance-education-technologies/1078

Interested in serving IJDET as a reviewer?
Please note that as a reviewer of IJDET, you are expected to review
FOUR manuscripts a year within FOUR weeks and you will be removed
from the reviewer list if you couldn't finish assigned reviews in a
timely manner or you can not review four manuscripts a year for IJDET.

There are two boards in IJDET - international review board and 
editorial review board. All members in these two boards are reviewers 
and required to review maximum FOUR manuscripts a year and finish 
the review within FOUR weeks. All reviewers are inviting and starting 
from being a member of international review board first.

The only difference is the publisher only lists editorial review board 
members on the website and the journal due to there are more than 
150 reviewers from both boards.

You can quit for being a reviewer at any time you want, just send
an email to the editor-in-chief and he or she will help you remove
your name from the reviewer list.

You would be invited to become a reviewer of editorial board from
international review board if you could maintain high quality 
reviews in a timely manner for at least two years.

Please BE AWARE that every year, IJDET evaluates reviewers' last 
2-year performance in terms of review quality, timing, and 
review tasks done to decide whether a member should be PROMOTE to
the editorial review board or DEMOTE to the international review board. 
On the otherhand, if there is vacancy for associate editor area,
an editorial board member later may be promoted to be 
an associate editor if he or she can always provide high quality 
reviews on time. 

If you are interested in serving IJDET as a reviewer, You are welcome 
to apply to be the reviewer for IJDET with complete profile and 
research areas entered, via 
http://www.igi-global.com/journals/become-a-reviewer/?tid=1078

Special Issue proposals:
We also encourage potential research in any fields related to the journal
to form a high quality guest editorial team to submit special issue proposal
online, for any emerging, important, and hot topics. Please send editor-in-chief
Dr. Maiga Chang (maiga.chang at gmail.com) an email with a well-completed 
special issue proposal based on the sample which can be downloaded at
http://maiga.athabascau.ca/editors/IJDET-Special_Issue_Proposal_Sample.doc

For queries, please contact Dr. Maiga Chang (maiga.chang at gmail.com)
------------------------------------ 

Sincerely,

Maiga Chang
maiga.chang at gmail.com
http://maiga.athabascau.ca
12, 29 '16