Ateneo Laboratory for the Learning Sciences

Only two months into 2015, and already, it has been a busy year for Dr. Rodrigo. She has been invited to give a number of talks on educational data mining, augmented reality, and the role of Computer Science in nation building.

On January 24, Dr. Rodrigo gave a talk on Educational Data Mining (EDM) before the EdukCircle International Convention on Education and Technology, which was held at the UP Theater in UP Diliman. In her talk, she discussed what EDM is, the process of EDM, and four of its application areas: 1) improvement of student models, 2) discovering or improving subject matter domain structure, 3) studying pedagogical support, and 4) refining educational theories.

On February 7, Dr. Rodrigo gave a talk on the role of Computer Science in nation building at the Computer Science Summit, which was held at the College of Engineering in UP Diliman.

She discussed the concept of Human-Computer Interaction for Development, some example games and applications, and ended by challenging the audience to better understand the Philippine culture and people so as to create more well thought-out solutions.

On February 11, Dr. Rodrigo took part in the Department of Education (DepEd) Computerization Program 2015 planning, which was held at the Development Academy of the Philippines Conference Center in Tagaytay. DepEd is in the process of rolling out computer labs in public elementary and high schools around the country, and aimed, through this workshop, to gather feedback regarding the current status of ICTs in the public educational system, and possible ways forward.

On February 20, Dr. Rodrigo, along with ALLS faculty Nicko Caluya, will be giving a talk on Augmented Reality (AR) before the Philippine Society of IT Students at the IT Congress in Western Visayas. Her talk will cover the definition of AR, how AR applications are characterized, and some of its appropriate uses.

Finally, on March 2 to 5, Dr. Rodrigo will be a plenary speaker on Educational Data Mining at the 15th Philippine Computing Science Congress, which will be held at the University of St. Louis in Tuguegarao.

ALLS Summer Workshop on Eye-tracking Research
23-27 March 2015, 9:00 AM to 4:30 PM
Venue: Faura Hall, Ateneo de Manila University

Hosted by

Ateneo Laboratory for the Learning Sciences
Department of Information Systems and Computer Science
Ateneo de Manila University, Loyola Heights, Quezon City

In cooperation with

Department of Electrical Engineering
National Taiwan Normal University
Taipei, Taiwan

Resource Speaker
Hong-Fa Ho, Ph.D.
National Taiwan Normal University

Eye tracking refers to the measurement of a person’s point of gaze or the movement of eyes relative to head movement. An eye tracker is a device for measuring eye positions and eye movement. Eye trackers are used in research on the visual system, in psychology, in cognitive linguistics, marketing, as an input device for human computer interaction, and in product design. There are a number of methods for measuring eye movement.

Dr. Hong-Fa Ho is a professor at the National Taiwan Normal University. He developed and implemented real eye tracking software and hardware. His prototype’s development accelerated the launch of a cost-efficient real eye tracker that can be used for more than 10 people at a time. His goal during the Summer Workshop is to introduce participants to eye movement and tracking and to get them interested in conducting research in the field.

The Summer School will begin with an introduction to eye tracking and the key publications on eye tracking research. The Summer School continues with an intensive five-day workshop that will familiarize participants with data collection and analysis techniques used in conducting eye tracking research. Ample time will be provided for hands-on work. Each participant will be expected to produce an analysis of eye tracking data. The workshop ends with poster presentations in which resource people will critique student work and recommend ways in which the work may be extended.

The Summer Workshop is open to current or prospective graduate students who wish to learn more about eye tracking and eye movement research and its associated methods. The tentative schedule of activities is as follows:

Date Activities
23 March 2015 – Introduction of participants, Introduction to eye tracking, Sharing key publications on eye tracking research
24 March 2015 – Eye tracking research training: data capture, Eye tracking research training: analysis methods
25 March 2015 – Brainstorming of possible collaborative projects
26 March 2015 – Hands-on exercises, Exercises on analysis of eye tracking data
27 March 2015 – Poster preparations

To apply, prospective participants must accomplish the Summer Workshop Application Form on or before 28 February 2015. The Application Form will ask for the following information, and can be accessed at http://goo.gl/EmwIu7.

1. Full name
2. Email address
3. Institution
4. Position
5. Highest degree earned or ongoing studies
6. If you are not currently enrolled in a graduate degree program, are you planning to enroll in graduate school? What is your time line? What specialization do you intend to pursue?
7. Why are you interested in attending the Eye Movement Research Summer School? How is it relevant to your current or future work? How do you see yourself applying what you learned? (The response to this question must be 500 to 600 words long.)

Successful applicants will be allowed to attend the Summer Workshop free of charge. They will, however, be responsible for their own transportation, meals, and lodging. Current graduate students also have the option of taking the workshop now and then officially registering it and taking it for credit as CS 214 User Modeling come enrollment in June. Students taking the course for credit should expect to submit additional deliverables during the June/July summer term.

For questions and clarifications, please email Ma. Mercedes T. Rodrigo at mrodrigo@ateneo.edu.

Slots are limited, so please apply soon!

Special Issue on Intelligent and Affective Learning Environments: New Trends and Challenges

Overview
Technology is playing an increasingly crucial role in the delivery of education, which in turn is driving research into finding ever better technological solutions. Traditional Intelligent Tutoring Systems (ITS) are able to support and control student’s learning on several levels but doesn’t provide space for student-driven learning and knowledge acquisition. From this perspective, Intelligent Learning Environments and similar tutoring systems have emerged as a kind of intelligent educational system which combines the features of traditional ITS and learning environments. This kind of educational system can be very helpful in supporting human learning by using Artificial Intelligent (AI) techniques, transforming information into knowledge, using it for tailoring many aspects of the educational process to the particular needs of each actor, and timely providing useful suggestions and recommendations (Brusilovsky et al, 1993; Carbonell, 1970; Clancey, 1979; Anderson et al, 1990; Aleven and Koedinger, 2002; Woolf, 2009). Intelligent Learning Environments have been successfully used and  applied in different fields of knowledge like medicine (Eliot et al, 1996), Electronic (Lajoie and Lesgold, 1992), Computer Programming (Mitrovic, 1998), military training (Chatham and Braddock, 2001) to mention but a few.

In recent years, ITS have incorporated the ability to recognize the student’s affective state, in addition to traditional cognitive state identification (Calvo and D’Mello, 2010, Wolf et al, 2009, Baker et al, 2010). These tutoring systems can detect affect and engagement by using different types of data sources like dialogs, speech, physiology, and facial expressions (Zeng et al, 2009; Calvo and D’Mello, 2010; Arroyo et al, 2009; Conati and Maclaren, 2009; Burleson, 2011). Moreover, these tutoring systems seek to change in students, negative emotional states (e.g. confused) into positive states (e.g. committed) in order to facilitate an appropriate emotional state for learning. Affective Tutoring Systems identify confusion, frustration, boredom, engagement, and other emotions prominent during learning activities (D’Mello and Graesser, 2012; D’Mello et al, 2014; Graesser and D’Mello, 2012). Students’ affect recognition can be implemented by different machine learning techniques like Bayesian Networks (Conati and Maclaren, 2009), Hidden-Markov Models (D’Mello and Graesser, 2010), or Neural Networks (Moridis and Economides, 2009). Although many works and studies have considered the development of affective tutoring systems, there is no research works yet especially in Intelligent and Affective Learning Environments, where all the involved components of the environment (the learning environment, the intelligent tutoring system, and/or the adaptive system) support the learning process. Taking this into account, there is a need to propose new approaches, techniques, methods, and processes in the field of Intelligent and Affective Learning Environments, with the purpose of considering cognitive and affective aspects in the teaching-learning and decision-taking processes.

The aim of this special issue is to collect innovative theoretical work and original applications on the field of Intelligent and Affective Learning Environments that recognize and respond to student emotions combining software and hardware methods. This special issue wants to focus on original scientific contributions in the form of theoretical, experimental research and case studies applying new perspectives on affect and learning or theories that integrate cognition with affect during learning. We also want to bring research on novel technologies that monitor emotions.

For this reason and given the research area and scope, we have considered that Journal of Educational Technology & Society is the perfect scenario for the publication of this special issue. Given the increasing number of conferences, workshops or tracks dedicated to Affect and Learning Technology topics in the last 5 years as the International Conferences ICACII, UMAP, IAED, ITS, and ICALT, we believe that the edition of a special issue covering the main technological aspects of this field is necessary and would be welcome by the scientific community.

Possible topics for research papers include, but are not limited to:

• Modeling, Enactment and Intelligent Use of Emotion and Affect
• Affect Detection ,Response, and Generation on learning
• Affect Models and Theory
• Affective Computing in Education
• Affective Tutoring Systems
• Affective learning Companions (Emotive Agents)
• Student and Domain Models with Affect
• Sentiment Analysis on Education Applications
• Software Architectures for Affective Learning Systems
• Intelligent Learning Management Systems
• Affect in Game-Based Learning Environments
• Mobile and Emotional Learning Applications
• Affect Methodologies
• Affect-Aware Learning Technologies
• Authoring tools and Affect
• Interaction Based-Affect Detection in Educational Software

Submission Guidelines and Other Considerations
This special issue will only publish regular research papers (up to 7000 words). Papers submitted must not have been published previously or under consideration for publication, though they may represent significant extensions of prior work. All submitted papers will go through a rigorous double-blind peer-review process (with at least three reviewers). The acceptance process will focus on those papers that address original scientific contributions in the form of theoretical and experimental research and case studies applying new perspectives on Intelligent and Affective Learning Environments.
An abstract submission is mandatory to allow editors a better assignment of reviewers. For this reason, authors which intent to submit a paper to this special issue should send an email with title and abstract to the Lead Guest Editor.

Before submission authors should carefully read over the journal’s Author Guidelines, which are located at http://www.ifets.info/guide.php. Prospective authors should submit an electronic copy of their complete manuscript using EasyChair system at: https://easychair.org/conferences/?conf=etsiale2016 according to the following timeline:

Timeline
Abstract submission: April 6, 2015
Manuscript submission deadline: May 1, 2015
First Review to be completed (includes author notification): July 10, 2015
Deadline for receipt of revisions: August 15, 2015
Second review to be completed (includes author notification): September 20, 2015
Final version:  October 10, 2015
Publication: April, 2016

Committee
Alejandro Rodriguez-Gonzalez, Polytechnic University of Madrid, Spain
Carlos A. Reyes-García, INAOE, Mexico
Claude Frasson, University of Montreal, Canada
Cristina Casado Lumbreras, Universidad Internacional de La Rioja, Spain
Giner Alor-Hernández, Instituto Tecnológico de Orizaba, Mexico
Harald Holone, Østfold University College, Norway
Jaime Alberto Guzman-Luna, National University of Colombia, Colombia
Jose-Maria Alvarez-Rodriguez, Universidad Carlos III de Madrid, Spain
Juan Miguel Gomez Berbis, Universidad Carlos III de Madrid, Spain
María Lucía Barrón-Estrada, Instituto Tecnológico de Culiacán, Mexico
María Mercedes T. Rodrigo, Ateneo de Manila University, Philippines
Miguel Ángel Conde, Universidad de León, Spain
Mihai Dasc?lu, University “Politehnica” of Bucharest, Romania
Miroslav Minovi?, University of Belgrade, Serbia
Patricia Ordoñez de Pablos, Oviedo University, Spain
Rados?aw Michalski,Wroc?aw University of Technology,  Poland
Rafael Valencia-Garcia, Murcia University, Spain
Ramón Zatarain-Cabada, Instituto Tecnológico de Culiacán, Mexico
Ricardo Colomo-Palacios, Østfold University College, Norway
Rodney D. Nielsen, University of North Texas, USA
Roger Azevedo, North Carolina State University, USA
Roger Nkambou, University of Quebec at Montreal, Canada
Sanjay Misra, Atilim University, Turkey
Vladimir Stantchev, SRH University Berlin, Germany
Yasmín Hernández-Pérez, Instituto de Investigaciones Eléctricas, Mexico

References
Aleven, V., and Koedinger, K. (2002). An effective metacognitive strategy: learning by doing and explaining with a computer-based cognitive tutor. Cognitive Science, 26(2), 147-179.
Anderson, . R., Boyle, C. F., Corbett, A. T., & Lewis, M. W. (1990). Cognitive modeling and intelligent tutoring. Artificial Intelligence, 42, 17-49. Doi: 10.1016/0004-3702(90)90093-F.
Arroyo, I., Woolf, B., Cooper, D., Burleson, W., Muldner, K., Christopherson, R. (2009). Emotions sensors go to school. In: Proceedings of the 14th international conference on artificial intelligence in education, pp. 17-24. IOS press, Amsterdam.
Baker, R.S., D’Mello, S.K., Rodrigo, M.T., & Graesser, A.C. (2010). Better to be frustrated than  bored: The incidence, persistence, and impact of learners’ cognitive-affective states during interactions with three different computer-based learning environments. International Journal of Human-Computer Studies, 68, 223-241.
Brusilovsky, P., Pesin, L. and Zyryanov, M. (1993). Towards an adaptive hypermedia
component for an intelligent learning environment. In: L. J. Bass, J. Gornostaev and
C. Unger (eds.): Proceedings of 3rd International Conference on Human-Computer
Interaction, EWHCI’93. Lecture Notes in Computer Science, Vol. 753, Berlin:
Springer-Verlag, pp. 348-358.
Burleson, W. (2011). Advancing a Multi-Modal Real-Time Affective Sensing Research Platform. New Perspectives on Affect and Learning Technologies, Calvo, R. A. and D’Mello, S. (Ed.), Springer, New York.
Calvo, R., and D’Mello, S. (2010). Affect detection: An interdisciplinary review of models, methods, and their applications. IEEE Transactions on Affective Computing 1(1), 18–37.
Carbonell, J. R. (1970). AI in CAI: An artificial intelligence approach to computer-aided-instruction. IEEE Transactions on Man-Machine System, MMS, 11(4), 190-202.
Chatham, R. and Braddock, J. (2001). Training Superiority & Training Surprise. Final Report , Defense Science Board Task Force.
Clancey, W. J. (1979). Transfer of rule-based expertise through a tutorial dialogue. Computer Science Stanford, CA, Stanford University. PhD.
Conati C. and Maclaren H. (2009). Empirically Building and Evaluating a Probabilistic Model of User Affect. User Modeling and User-Adapted Interaction, 19, 267-303.
D’Mello, S., and Graesser, A., (2010). Modeling cognitive-affective dynamics with Hidden Markov Models. In: Catrambone, R., Ohlsson, S. (Eds.), Proceedings of the 32nd Annual Cognitive Science Society. Cognitive Science Society, Austin, TX, pp. 2721–2726.
D’Mello, S. K., and Graesser, A. C. (2012). Emotions during learning with AutoTutor. Adaptive technologies for training and education, Durlach, P. J. and Lesgold, A.  (Ed.),  Cambridge, U.K. Cambridge University Press.
D’Mello, S. K., Lehman, B. Pekrun, R., & Graesser, A. C. (2014). Confusion Can be Beneficial For Learning, Learning and Instruction, 29(1), 153-170.
Eliot, C., Williams, K. and Woolf, B. (1996). An Intelligent Learning Environment for Advanced Cardiac Life Support. 1996 AMIA Annual Fall Sympsosium . J. J. Cimino. Washington, DC, Hanley & Belfus : 7–11.
Graesser, A. C., and D’Mello, S. K. (2012). Moment-to-moment emotions during reading. The Reading Teacher, 66, 238-242.
Lajoie, S. and Lesgold, A. (1992). A pprenticeship training in the workplace: Computer-coached practice environment as a new form of apprenticeship . Intelligent instruction by computer: Theory and practice, J.L. Farr and J. Psotka (Eds), Washington D.C., Taylor and Francis: pp. 15– 36.
Mitrovic, A. (1998). Experience in Implementing Constraint-Based Modeling in SQL-Tutor. F ourth International Conference on Intelligence Tutoring Systems. B. P. Goettl, Halff, H. M., Redfi eld, C. L. and V. Shute : 414–423.
Moridis, C. N., and Economides, A. A. (2009). Prediction of student’s mood during an online test using formula-based and neural network-based method. Computers & Education, 53(3), 644–652.
Woolf, B. P. (2009). Building intelligent interactive tutors. Morgan Kaufmann.
Woolf, B. P., Burleson, W., Arroyo, I., Dragon, T., Cooper, D. G., & Picard, R. W. (2009). Affect-aware tutors: recognizing and responding to student affect. International Journal of Learning Technology, 4(3/4), 129–164.
Zeng, Z., Pantic, M., Roisman, G.I., Huang, T.S. (2009). A survey of affect recognition methods: audio, visual, and spontaneous expressions. IEEE Transactions on pattern analysis and machine intelligence, 31, 39-58.

Lead Guest Editor
Ramón Zatarain Cabada Ph.D., Division of Research and Postgraduate Studies, Instituto Tecnológico de Culiacán, Juan de Dios Bátiz, 310 Pte. CP 80220, Culiacán, Sinaloa, México. Email:rzatarain@itculiacan.edu.mx

Guest Editors
Giner Alor Hernández Ph.D., Division of Research and Postgraduate Studies, Instituto Tecnológico de Orizaba, Oriente 9 #82 Emiliano Zapata, CP. 94320, Orizaba, Veracruz, México. Email:galor@itorizaba.edu.mx
María Lucía Barrón Estrada Ph.D., Division of Research and Postgraduate Studies, Instituto Tecnológico de Culiacán, Juan de Dios Bátiz, 310 Pte. CP 80220, Culiacán, Sinaloa, México. Email:lbarron@itculiacan.edu.mx
Ricardo Colomo-Palacios Ph.D., Full Professor at the Computer Science Department of the Østfold University College, Norway. Email: ricardo.colomo-palacios@hiof.no
Hao-Chiang Koong Lin Ph.D., Dean, College of Innovative and Management, National Taipei University of Business, Dept. of Information and Learning Technologe, National University of Tainan. Email:koonglin@gmail.com

Biography
Ramón Zatarain Cabada is a Professor and Researcher of the Master of Computer Science at the Instituto Tecnológico de Culiacán (ITC). He received the Master of Science and PhD degrees in Computer Science from Florida Institute of Technology. He is National Researcher recognized by the National Council of Science & Technology of Mexico (CONACYT), level II. His main research interests include artificial intelligence in Education, m and e-learning, and affective computing applied to education. He has authored and co-authored more than 60 scientific article and chapters in international journals and conference proceedings, and has been the director of 10 research projects granted by DGEST and CONACYT. He is founder and leader of the research body in software engineering at the ITC and has been organizing (chair) for 7 years the International Workshop of Intelligent Learning Environment (WILE 2012, WILE 2013, WILE 2014). He also has been a member of Program Committees for International Conferences ITS, MICAI, and WILE. Last, he has coached and advised 6 different national and international-winning projects in the field of computer software and contest programming (ACM-ICPC).

Giner Alor Hernández is a full-time researcher of the Division of Research and Postgraduate Studies of the Orizaba Technology Institute. He received a MSc and a PhD in Computer Science of the Center for Research and Advanced Studies of the National Polytechnic Institute (CINVESTAV), Mexico. He has headed 10 mexican research projects granted by CONACYT, DGEST and PROMEP. He is author/coauthor around 100 journal and conference papers in computer science. He has been a committee program member of around 30 international conferences sponsored by IEEE, ACM and Springer and editorial board member of 5 indexed journals. He has been guest editor of 3 JCR-indexed journals (CMMM, JMS). His research interests Web development, E-learning, M-learning. He is an IEEE and ACM Member. He is National Researcher recognized by the National Council of Science & Technology of Mexico (CONACYT).

María Lucía Barrón Estrada is a Professor and Researcher of the Master of Computer Science at the Instituto Tecnológico de Culiacán. She holds a degree in Computer Science from the Instituto Tecnológico de Culiacán, a M.Sc. in Computer Science from the Instituto Tecnológico de Toluca and a PhD in Computer Science from the Florida Institute of Technology. She is a National Researcher recognized by the National Council of Science & Technology of Mexico (CONACYT), Level II. She has authored and co-authored more than 50 scientific papers and chapters in international journals and conference proceedings, has been the director and co-director of 6 research projects granted by DGEST and CONACYT, and has been the coach of different project and student teams winning national and international software and programming competitions. For 7 years, she has organized as co-chair the MICAI Workshop on Intelligent Learning Environment (WILE 2012, WILE 2013, WILE 2014). Her main research interests are mobile, web based and hybrid learning. She also works on the implementation of authoring tools for intelligent tutoring systems and programming languages.? She is a member of the ACM association.

Dr. Ricardo Colomo-Palacios is a Full Professor at the Computer Science Department of the Østfold University College, Norway. Formerly he worked at Universidad Carlos III de Madrid, Spain. His research interests include applied research in Information Systems, software project management, people in software projects and social and Semantic Web. He received his PhD in Computer Science from the Universidad Politécnica of Madrid (2005). He also holds a MBA from the Instituto de Empresa (2002). He has been working as Software Engineer, Project Manager and Software Engineering Consultant in several companies including Spanish IT leader INDRA. He is also an Editorial Board Member and Associate Editor for several international journals and conferences and Editor in Chief of International Journal of Human Capital and Information Technology Professionals.

Dr. Hao-Chiang Koong Lin works as Dean of College of Innovative and Management, National Taipei University of Business, Taiwan. He is also a Professor in the Department of Information and Learning Technology, National University of Tainan. He also worked as a CIO and department chair in MingHsin University. He received his Ph.D. degree in Computer Science from National Tsing-Hua University, 1997. He has published more than 300 internationally refereed research papers focused on affective computing, learning and education technology, digital arts, interaction design, e-commerce, and artificial intelligence. He serves as a member of editorial review board for several international journals and many international conferences.