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Sabine Graf <[log in to unmask]>
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Tue, 4 Feb 2014 15:33:14 -0700
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Doctoral Consortium on Advanced Learning Technologies (DC-ALT@ICALT2014) at
the 14th IEEE International Conference on Advanced Learning Technologies -

Athens, Greece, July 7-10, 2014

*** Extended Deadline: February 10, 2014 ***

Track Program Chairs
Ignacio Aedo, Universidad Carlos III de Madrid, Spain Guang Chen, Beijing
Normal University, China Sabine Graf, Athabasca University, Canada
([log in to unmask])   [Co-ordinator] Michael J. Spector, University of
North Texas, USA Jarkko Suhonen, University of Eastern Finland, Finland  

Track Description:
The ICALT2014 Doctoral Consortium aims to support and inspire PhD students
during their ongoing research efforts on topics related to Advanced Learning
Technologies. The Doctoral Consortium will provide to the PhD students the
opportunity to present, discuss, and receive feedback on their research in
the context of a well-known and established interdisciplinary and
international conference outside of their usual university environment.
Prominent professors and researchers in the field of Advanced Learning
Technologies will reflect to the selected papers and get engaged in a
scientific dialogue with the PhD students. 

The Doctoral Consortium will consist of 3 sessions. The first session aims
at giving students the chance to present their work to others and get
familiar with the work of other PhD students in their area. Each PhD student
will give a very brief presentation (about 3 minutes) about his/her work
with focus on motivation and research problem. These presentations are
followed by a poster exhibition where individual discussion about each
student's work will take place. The third session aims at giving students
feedback from an expert in their area and let them discuss their work with
him/her as well as with few other PhD students doing research in the
respective area. After the notification of acceptance/rejection, each PhD
student with an accepted paper will be assigned to a small group consisting
of 5 PhD students and one expert in their area. Each group will start to
communicate and exchange their papers so that all members of the group are
familiar with the papers of each group member. During the third session,
each small group will meet individually. PhD students will give a short
presentation about their work (about 10 minutes; 3 slides:
Motivation/Background, what have been done already, and what will be done in
future). After each presentation, group discussion will take place where
each student can discuss his/her work with the expert and with other PhD

The 3-page submission of DC Consortium papers should: • Provide the title of
the PhD Research, the name of the PhD Student and the PhD Advisor and the
Affiliated Organisation • Provide a motivation for the research, explaining
what the problem in the respective field is and why it is a problem, •
Clearly formulate the research question, • Sketch the research methodology
that is to be applied, • Describe the expected contributions of the
applicant to the research area, and describes how the research is
innovative, novel or extends existing approaches to a problem. •
Appropriately acknowledge the possible contribution of non-student advisors
or collaborators Submissions will be judged on originality, significance,
correctness, and clarity. 

Up to 5 Ph.D. students per track will have the opportunity to participate.
Students will be required to pay the registration fees of the ICALT
Conference (at student rates). 

Topics of Interest:
• Digital Systems for Open Access to Education and Learning • Adaptive and
Personalised Technology-Enhanced Learning • Wireless, Mobile and Ubiquitous
Technologies for Learning • Digital Game and Intelligent Toy Enhanced
Learning • Computer Supported Collaborative Learning • Technology-enhanced
Assessment in Formal and Informal Education • Big Data in Education and
Learning Analytics • Technology-Enhanced Science, Technology, Engineering
and Math Education • Technology Enhanced Language Learning • Motivational
and Affective Aspects in Technology-enhanced Learning • Methods and Tools
for fostering Creativity in Learning processes • Recommender Systems for
Learning • Applications of Semantic Web technologies for E-Learning •
Technology Supported Education for People with Disabilities • Smart Learning
Environments • Virtual Worlds in Education and Training • Knowledge
Management in e-Learning • Large Scale Implementation of Technology
Supported Educational Innovations 

The Doctoral Consortium is only for PhD students in their first or second
PhD year (for full-time studies and prorated for part-time studies).
Furthermore, the topic of the PhD thesis must be in the area of Advanced
Learning Technologies.

Important Dates:
February 1, 2014: Submissions of papers (Full paper, Short paper, Poster)
March 17, 2014: Authors' Notification on the review process results April
18, 2014: Authors' Registration Deadline May 9, 2014: Final Camera-Ready
Manuscript and IEEE Copyright Form submission May 26, 2014: Early Bird
Registration July 7-10, 2014: ICALT2014 Conference

Submission and Publication of Papers
Authors are required to follow the ICALT 2014 author guidelines
( when preparing their papers
and submit their papers through the ICALT 2014 submission system
( Additionally, at
the same time as the paper is submitted via the conference system, an email
from the main supervisor must be sent to [log in to unmask] to confirm
that the student is in his/her first or second year of PhD studies.
Accepted papers will be published in the ICALT2014 conference proceedings.

Members of Track Program Committee
Digital Systems for Open Access to Education and Learning • Tore Hoel, Oslo
University College, Norway • Rory McGreal, Athabasca University, Canada •
Demetrios G Sampson, University of Piraeus & CERTH, Greece • Jan M.
Pawlowski, University of Jyvaskyla, Finland • Christian M. Stracke,
University of Duisburg-Essen, Germany 

Adaptive and Personalised Technology-Enhanced Learning • Arif Altun,
Hacettepe University, Turkey • Gautam Biswas, Vanderbilt University, USA •
George Magoulas, Birkbeck College, University of London • Kyparisia
Papanikolaou, School of Pedagogical & Technological Education, Greece •
Elvira Popescu, University of Craiova, Romania • Beverly Woolf, University
of Massachusetts Amherst, USA 

Wireless, Mobile and Ubiquitous Technologies for Learning • Yacine Atif,
United Arab Emirates University, UAE • Phillip Benachour, Lancaster
University, United Kingdom • Gwo-Jen Hwang, National Taiwan University of
Science and Technology, Taiwan • Marcelo Milrad, Linnaeus University, Sweden
• Hiroaki Ogata, Kyushu University, Japan • Elliot Soloway, University of
Michigan, USA • Marcus Specht, Open University, The Netherlands  

Digital Game and Intelligent Toy Enhanced Learning • Maiga Chang, Athabasca
University, Canada • Baltasar Fernandez-Manjon, Complutense University of
Madrid, Spain • Jimmy Ho Man Lee, The Chinese University of Hong Kong, Hong

Computer Supported Collaborative Learning • Yiannis Dimitriadis, University
of Valladolid, Spain • Stavros Demetriadis, Aristotle University of
Thessaloniki, Greece • Andreas Harrer, TU Clausthal, Germany • Andreas
Lingnau, Catholic University Eichstaett-Ingolstadt, Germany • Chiu-Pin Lin,
National Hsinchu University of Education, Taiwan  

Technology-enhanced Assessment in Formal and Informal Education • Dirk
Ifenthaler, Open Universities Australia, Australia • Deniz Eseryel,
University of Oklahoma, USA, • Gerald Knezek, University of North Texas, USA
• Cher Ping Lim, The Hong Kong Institute of Education, Hong Kong • Lin Lin,
University of North Texas, USA  

Big Data in Education and Learning Analytics • Jelena Jovanovic, University
of Belgrade, Serbia • Vive Kumar, Athabasca University, Canada • Riccardo
Mazza, University of Lugano, Switzerland • Abelardo Pardo, University of
Sydney, Australia • Miguel-Angel Sicilia, University of Alcala, Spain  

Technology-Enhanced Science, Technology, Engineering and Math Education •
Ton de Jong, University of Twente, Netherlands • Adrian Holzer, EPFL,
Switzerland • Denis Gillet, EPFL, Switzerland  

Technology Enhanced Language Learning
• Jiyou Jia, Peking University, China
• Vincent Tam, University of Hong Kong, Hong Kong • Jie-Chi Yang, National
Central University, Taiwan • Yuping Wang, Griffith University, Australia  

Motivational and Emotional Aspects in Technology-enhanced Learning • Chuck
Hodges, Georgia Southern University, USA • Hao-Chiang Koong Lin, National
University of Tainan, Taiwan • ChanMin Kim, The University of Georgia, USA  

Methods and Tools for fostering Creativity in Learning processes •
Ching-Sing Chai, National Institute of Education, Singapore • Yueh-Min
Huang, National Cheng Kung University, Taiwan • Pythagoras Karampiperis,
NCSR “Demokritos”, Greece  

Recommender Systems for Learning
• Hendrik Drachsler, Open University of Netherlands, The Netherlands •
Yanyan Li, Beijing Normal University, China • Olga Santos, Spanish National
University for Distance Education, Spain 

Applications of Semantic Web technologies for E-Learning • Luis Anido-Rifon,
Universidade de Vigo, Spain • Darina Dicheva, Winston-Salem State
University, USA • Hend Suliman Al-Khalifa, King Saud University , Kingdom of
Saudi Arabia • Dave Millard, University of Southampton, UK  

Technology Supported Education for People with Disabilities • Silvia
Baldiris, University of Girona, Spain • Mohamed Jemni, University of Tunis,
Tunisia • Charalambos Karagiannidis, University of Thessaly, Greece • Jutta
Treviranus, OCAD University, Canada  

Smart Learning Environments
• Nian-Shing Chen, National Sun Yat-sen University, Taiwan • Ronghuai Huang,
Beijing Normal University, China • Carlo Giovannella, Universita' di Roma
Tor Vergata, Italy • Kinshuk, Athabasca University, Canada  

Virtual Worlds in Education and Training • Yu-Ju Lan, National Taiwan Normal
University, Taiwan • Tassos Mikropoulos, University of Ioannina, Greece •
Anders Morch, University of Oslo, Norway • Alke Martens, University of
Rostock, Germany  

Knowledge Management in e-Learning
• Michael J. Jacobson, The University of Sydney, Australia • Fanny Klett,
German Workforce ADL Partnership Laboratory, Germany • Maggie M. Wang, The
University of Hong Kong, Hong Kong  

Large Scale Implementation of Technology Supported Educational Innovations •
Stefanos Yialamas, American Community Schools, Athens, Greece • Chee-Kit
Looi, Nanyang Technological University, Singapore • Jon K. Price, Intel, USA
• Sofoklis Sotiriou, Ellinogermaniki Agogi, Greece • Lampros Stergioulas,
Brunel University, UK • Imran A. Zualkernan, American University of Sharjah
United Arab Emirates • Wu Yonghe, East China Normal University, China 

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