[Apologies if you receive multiple times, please circulate this to your colleagues who might be interested, thank you so much.] [This email includes the table of contents of Vol. 11, No. 2 of International Journal of Distance Education Technologies (IJDET, an EI journal) and the general call for papers of IJDET] ------- Annoucement of the publication of Vol. 11, No. 2 of IJDET (an EI journal)----------- http://www.igi-global.com/journal/international-journal-distance-education-t... We are glad to announce the publication of Vol. 11, No. 2 of International Journal of Distance Education Technologies (IJDET, an EI journal). In this issue, SIX papers are included: Recognizing Student Emotions using Brainwaves and Mouse Behavior Data(pages 1-15) Judith Azcarraga, and Merlin Teodosia Suarez Brainwaves (EEG signals) and mouse behavior information are shown to be useful in predicting academic emotions, such as confidence, excitement, frustration and interest. Twenty five college students were asked to use the Aplusix math learning software while their brainwaves signals and mouse behavior (number of clicks, duration of each click, distance traveled by the mouse) were automatically being captured. It is shown that by combining the extracted features from EEG signals with data representing mouse click behavior, the accuracy in predicting academic emotions substantially increases compared to using only features extracted from EEG signals or just mouse behavior alone. Furthermore, experiments were conducted to assess the prediction accuracy of the system at points during the learning session where several of the extracted features significantly deviate in value from their mean. The experiments confirm that the prediction performance increases as the number of feature values that deviate significantly from the mean increases. http://www.igi-global.com/article/recognizing-student-emotions-using-brainwa... Towards Computational Fronesis: Verifying Contextual Appropriateness of Emotions (pages 16-47) Michal Ptaszynski, Pawel Dybala, Michal Mazur, Rafal Rzepka, Kenji Araki, and Yoshio Momouchi This paper presents research in Contextual Affect Analysis (CAA) for the need of future application in intelligent agents, such as conversational agents or artificial tutors. The authors propose a new term, Computational Fronesis (CF), to embrace the tasks included in CAA applied to development of conversational agents such as artificial tutors. In tutor-student discourse it is crucial that the artificial tutor was able not only to detect user/student emotions, but also to verify toward whom they were directed and whether they were appropriate for the context of the conversation. Therefore, as the first task in CF the authors focus on verification of contextual appropriateness of emotions. They performed some of the first experiments in this task for the Japanese language and discuss future directions in development and implications of Computational Fronesis. http://www.igi-global.com/article/towards-computational-fronesis/77839 Towards a Semantic-Based Approach for Affect and Metaphor Detection (pages 48-65) Li Zhang, and John Barnden Affect detection from open-ended virtual improvisational contexts is a challenging task. To achieve this research goal, the authors developed an intelligent agent which was able to engage in virtual improvisation and perform sentence-level affect detection from user inputs. This affect detection development was efficient for the improvisational inputs with strong emotional indicators. However, it can also be fooled by the diversity of emotional expressions such as expressions with weak or no affect indicators or metaphorical affective inputs. Moreover, since the improvisation often involves multi-party conversations with several threads of discussions happening simultaneously, the previous development was unable to identify the different discussion contexts and the most intended audiences to inform affect detection. Therefore, in this paper, the authors employ latent semantic analysis to find the underlying semantic structures of the emotional expressions and identify topic themes and target audiences especially for those inputs without strong affect indicators to improve affect detection performance. They also discuss how such semantic interpretation of dialog contexts is used to identify metaphorical phenomena. Initial exploration on affect detection from gestures is also discussed to interpret users’ experience of using the system and provide an extra channel to detect affect embedded in the virtual improvisation. Their work contributes to the journal themes on affect sensing from text, semantic-based dialogue processing and emotional gesture recognition. http://www.igi-global.com/article/towards-semantic-based-approach-affect/778... Using Emotional Intelligence in Training Crisis Managers: The Pandora Approach(pages 66-95) Lachlan Mackinnon, Liz Bacon, Gabriella Cortellessa, and Amedeo Cesta Multi-agency crisis management represents one of the most complex of real-world situations, requiring rapid negotiation and decision-making under extreme pressure. However, the training offered to strategic planners, called Gold Commanders, does not place them under any such pressure. It takes the form of paper-based, table-top exercises, or expensive, real-world, limited-scope simulations. The Pandora project has developed a rich multimedia training environment for Gold Commanders, based on a crisis scenario, timeline-based, event network, with which the trainees and their trainer interact dynamically. Pandora uses the emotional intelligence of the trainees, through a behavioural modelling component, to support group dynamic and decision-making. It applies systemic emotional intelligence, based on inferred user state and rule-based affective inputs, to impact the stress levels of the trainees. Pandora can impose variable stress on trainees, to impact their decision-making, and model their behaviour and performance under stress, potentially resulting in more effective and realisable strategies. http://www.igi-global.com/article/using-emotional-intelligence-training-cris... Affective Realism of Animated Films in the Development of Simulation-Based Tutoring Systems (pages 96-109) Hiran B. Ekanayake, Uno Fors, Robert Ramberg, Tom Ziemke, Per Backlund, and Kamalanath P. Hewagamage This paper presents a study focused on comparing real actors based scenarios and animated characters based scenarios with respect to their similarity in evoking psychophysiological activity for certain events by measuring galvanic skin response (GSR). In the experiment, one group (n=11) watched the real actors’ film whereas another group (n=7) watched the animated film, which had the same story and dialogue as the real actors’ film. The results have shown that there is no significant difference in the skin conductance response (SCR) scores between the two groups; however, responses significantly differ when SCR amplitudes are taken into account. Moreover, Pearson’s correlation reported as high as over 80% correlation between the two groups’ SCRs for certain time intervals. The authors believe that this finding is of general importance for the domain of simulation-based tutoring systems in development of and decisions regarding use of animated characters based scenarios. http://www.igi-global.com/article/affective-realism-animated-films-developme... Words that Fascinate the Listener: Predicting Affective Ratings of On-Line Lectures(pages 110-123) Felix Weninger, Pascal Staudt, and Bjorn Schuller In a large scale study on 843 transcripts of Technology, Entertainment and Design (TED) talks, the authors address the relation between word usage and categorical affective ratings of lectures by a large group of internet users. Users rated the lectures by assigning one or more predefined tags which relate to the affective state evoked in the audience (e. g., ‘fascinating’, ‘funny’, ‘courageous’, ‘unconvincing’ or ‘long-winded’). By automatic classification experiments, they demonstrate the usefulness of linguistic features for predicting these subjective ratings. Extensive test runs are conducted to assess the influence of the classifier and feature selection, and individual linguistic features are evaluated with respect to their discriminative power. In the result, classification whether the frequency of a given tag is higher than on average can be performed most robustly for tags associated with positive valence, reaching up to 80.7% accuracy on unseen test data. http://www.igi-global.com/article/words-fascinate-listener/77843 ------- General Call for Papers for IJDET (an EI journal)----------- 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-t...) The International Journal of Distance Education Technologies (IJDET) is a forum for researchers and practitioners to disseminate practical solutions to the automation of open and distance learning. Targeted to academic researchers and engineers who work with distance learning programs and software systems, as well as general users of distance education technologies and methods, IJDET discusses computational methods, algorithms, implemented prototype systems, and applications of open and distance learning. 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. Fuhua Lin (fuhua.o.lin@gmail.com) Executive Editor: Dr. Maiga Chang (maiga.chang@gmail.com) Indices: Compendex (Elsevier EI), DBLP, EBSCOhost, ERIC, Google Scholar, INSPEC, PsycINFOR, SCOPUS, and many others Suggested topics: IJDET is an EI journal and 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 Manuscript guidelines: All submissions have to follow IJDET manuscript guidelines at http://www.igi-global.com/publish/resources/journal-organization-and-formatt... http://www.igi-global.com/journals/guidelines-for-submission.aspx should be submitted online at http://www.ijdet.com/ after registering an account. 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 submit your special issue proposal online as a manuscript and choose "[Special Issue Proposal]" as its Section The special issue proposal sample can be downloaded at http://vip.is-very-good.org/editing/IJDET-Special_Issue_Proposal_Sample.doc For queries, please contact Dr. Maiga Chang (maiga.chang@gmail.com) ------------------------------------ Sincerely, Maiga Chang maiga.chang@gmail.com http://maiga.athabascau.ca 06, 23 '13 PM 01:37 in Edmonton --------------------------------- Editor-in-Chief, Journal of Technology for Education and Learning Executive Editor, International Journal of Distance Education Technologies (EI) Associate Editor, International Journal of Online Pedagogy and Course Design Learning Culture and Language through ICTs: Methods for Enhanced Instruction http://www.igi-global.com/reference/details.asp?ID=33419 ----------- Co-Chair of ICCE sub-conference on Digital Game and Digital Toy Enhanced Learning and Society (GTEL&S) http://icce2013bali.org/ Co-Chair of GCCCE sub-conference on Joyful Learning and Society http://www.gse.pku.edu.cn/gccce2013/gccceen.asp ----------- Guest Editor, Research and Practice in Technology Enhanced Learning Special Issue on Practical Applications of Mobile and Internet Educational Games http://www.apsce.net/Download/RPTEL-2012-SI5_PracticalEducationalGames_CFP.p... Guest Editor, International Review of Research in Open and Distance Learning (SSCI) Special Issue on Technology Enhanced Information Retrieval and Processing for Online Learning (Vol. 13, No. 5) http://www.irrodl.org/index.php/irrodl/issue/view/54 Guest Associate Editor, IEEE Technology and Engineering Education Special Issue on Cloud Computing Technology and Applications (Vol. 7, No. 2) http://www.ewh.ieee.org/soc/e/sac/itee/index.php/meem/article/viewFile/252/2... http://www.ewh.ieee.org/soc/e/sac/itee/index.php/meem/issue/view/30 --------- School of Computing and Information Systems (http://scis.athabascau.ca/) Athabasca University 1200, 10011-109 Street Edmonton, T5J-3S8 AB, Canada --------------- Phone: +1-866-916-8646 Website: http://maiga.dnsalias.org and http://maiga.athabascau.ca CV: http://scis.athabascau.ca/scis/staff/faculty.jsp?id=maigac Leave me an Audio/Video message with JoinNet (required to install in Microsoft Windows OS first) http://meeting.athabascau.ca/gotomeeting.php?u=5&c=visit JoinNet software: http://www.homemeeting.com/en_US/download_joinnet.html