AIED-2015

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Jun 1, 2015
Category: General
Posted by: felisa
End of late on-line registration June 18, 2015
Jun 18, 2014
Category: General
Posted by: emmanuelle
The AIED conference in 2015 in Madrid will be at the UNED Computer Science School

Sponsors

Carnegie Learning

Mari

Pearson

Academic Sponsors

UNED

UCM

International Artificial Intelligence in Education Society

Student Support Sponsors

LSI

NSF

RamkumarFoundation

Follow @aied2015m
Use #aied2015


Tweets


Just discovered the future in ed tech has a 30 year history! http://t.co/JZwI5NM4BM @aied2015 #aied2015
2015-08-12 13:55:14

RT @peterpaws: So, having agent-supported chats does help in a #MOOC lovering #dropout ! http://t.co/9JHjKwVIvD #paper14 #aied2015
2015-07-22 15:37:44

SNS messages Recommendation for Learning Motivation http://t.co/PLCEfXhf8g #aied2015 #learningmotivation
2015-07-08 11:02:13

RT @carnegielearn: Proud of our research team helping to improve how math is taught! @stvritter http://t.co/fRDPpxz1kA #aied2015 #eddata
2015-07-06 18:56:05

RT @cserAdelaide: Best Paper Nomination @ #AIED2015 for Thushari's CSER work! http://t.co/QjKt3RyyeQ @ThushAtapattu @FalknerKatrina @Falkne
2015-07-06 14:43:16

AIED 2015: MIT model helps students stick with MOOCs http://t.co/XNU8BkwNQo via @techreview #AIED2015 #MOOCs
2015-07-02 19:36:00

RT @peterpaws: Slides now posted for: A Framework for Multifaceted Evaluation of Student Models http://t.co/mQ5FEJnKdZ #paper_164 #aied2015
2015-07-01 17:27:57

Slides now posted for: A Framework for Multifaceted Evaluation of Student Models http://t.co/mQ5FEJnKdZ #paper_164 #aied2015 #EDM2015Madrid
2015-07-01 12:52:01

RT @profebot: AIED2015 proceedings book, already available from Springer http://t.co/3W7glrUtW2 @aied2015m #aied2015
2015-07-01 07:14:58

RT @cserAdelaide: Best Paper Nomination @ #AIED2015 for Thushari's CSER work! http://t.co/QjKt3RyyeQ @ThushAtapattu @FalknerKatrina @Falkne
2015-07-01 07:13:06

Best Paper Nomination @ #AIED2015 for Thushari's CSER work! http://t.co/QjKt3RyyeQ @ThushAtapattu @FalknerKatrina @FalknerKatrina #ozcschat
2015-07-01 07:12:20

RT @OliFer: #aied2015 @ Gau&Cafe https://t.co/UIL296eZvW
2015-06-30 09:22:25

RT @peterpaws: Jose Gonzalez-Brenes: Leopard evaluation framework and White Metric. Cool. http://t.co/jxsYOLoRHT #paper_113 #aied2015 OR #E
2015-06-30 00:39:17

RT @stvritter: #aied2015 reception sponsored by @carnegielearn http://t.co/70zUstS8e5
2015-06-29 17:26:36

RT @peterpaws: Jose Gonzalez-Brenes: Leopard evaluation framework and White Metric. Cool. http://t.co/jxsYOLoRHT #paper_113 #aied2015 OR #E
2015-06-29 14:39:10

RT @peterpaws: Jose Gonzalez-Brenes: Leopard evaluation framework and White Metric. Cool. http://t.co/jxsYOLoRHT #paper_113 #aied2015 OR #E
2015-06-29 14:29:09

Jose Gonzalez-Brenes: Leopard evaluation framework and White Metric. Cool. http://t.co/jxsYOLoRHT #paper_113 #aied2015 OR #EDM2015Madrid
2015-06-29 13:42:54

RT @peterpaws: Jeremy Warner provides data on online #electronictextbook. A #MOOC competitor? http://t.co/NNFiWXp6qY #paper_49 #aied2015 OR…
2015-06-28 18:27:52

Jeremy Warner provides data on online #electronictextbook. A #MOOC competitor? http://t.co/NNFiWXp6qY #paper_49 #aied2015 OR #EDM2015Madrid
2015-06-28 18:14:27

RT @peterpaws: Radek Pelanek: Using MAE is wrong! http://t.co/6vd4B7cTfV #JEDM87 #aied2015 #EDM2015Madrid
2015-06-28 11:00:15

Poster Session

Poster 1

  1. Improving Learning Maps using An Adaptive Testing System: PLACEments by Seth Adjei and Neil Heffernan
  2. Domain Module Building from Textbooks: Integrating Automatic Exercise Generation by Itziar Aldabe, Mikel Larrañaga, Montse Maritxalar, Ana Arruarte and Jon A. Elorriaga
  3. Intelligent tutoring systems and MOOCs: The beginning of a beautiful friendship? by Vincent Aleven, Jonathan Sewall, Octav Popescu, Franceska Xhakaj, Dhruv Chand, Ryan Baker, Elle Wang, George Siemens, Carolyn Rose and Dragan Gasevic
  4. Predicting Misalignment between Teachers' and Students' Essay Scores Using Natural Language Processing Tools by Laura Allen, Scott Crossley and Danielle McNamara
  5. Am I Wrong or Am I Right? Gains in Monitoring Accuracy in an Intelligent Tutoring System for Writing by Laura Allen, Scott Crossley, Erica Snow, Matthew Jacovina, Cecile Perret and Danielle McNamara
  6. Predicting students' emotions using machine learning techniques by Nabeela Altrabsheh, Mihaela Cocea and Sanaz Fallahkhair
  7. Linked Educational Online Courses to provide Personalized Learning by Heitor Barros, Jonathas Magalhães, Marlos Silva and Evandro Costa
  8. Using Artificial Neural Networks to Identify Learning Styles by Jason Bernard, Ting Wen Chang, Elvira Popescu and Sabine Graf
  9. Measuring Argumentation Skills with Game-based Assessments: Evidence for Incremental Validity and Learning by Maria Bertling, G. Tanner Jackson, Andreas Oranje and V. Elizabeth Owen
  10. Student Performance Prediction Using Collaborative Filtering Methods by Hana Bydžovská
  11. Steps Towards the Gamification of Collaborative Learning Scenarios Supported by Ontologies by Geiser Chalco Challco, Seiji Isotani, Riichiro Mizoguchi and Ig Bittencourt
  12. Developing an exploratory learning environment to support Invention by Catherine C. Chase, Jenna Marks, Deena Bernett, Melissa Bradley and Vincent Aleven
  13. Turning Down the Noise in Classrooms: Identifying Diverse and Relevant Content in Online Discussions by Mariheida Cordova-Sanchez and Pinar Yanardag
  14. Adaptive Representation of Digital Resources Search Result in Personal Learning Environment by Sawadogo Daouda, Suire Cyrille, Ronan Champagnat and Pascal Estraillier
  15. Towards Investigating Performance Differences in Clinical Reasoning in a Technology Rich Learning Environment by Tenzin Doleck, Amanda Jarrell, Eric Poitras and Susanne Lajoie
  16. Emotional, Epistemic, and Neutral Feedback in AutoTutor Trialogues to Improve Reading Comprehension by Shi Feng, Janay Stewart, Danielle Clewley and Arthur Graesser
  17. Comparison of Expert Tutors through Syntactic Analysis of Transcripts by Reva Freedman and Douglas Krieghbaum
  18. Towards Visualizing Learning Processes in Exploratory Environments Using Phase Graphs by Frédérique Frossard, Ido Roll, Inga Glogger, Katharina Loibl and Alexander Renkl
  19. Exploring through Simulation an Instructional Planner for Dynamic Open-Ended Learning Environments by Stephanie Frost and Gordon McCalla

Poster 2

 

  1. Affect Detection Across Age Groups: A Comparison of Facial Expression Tracking for Middle School and College Students by Joseph Grafsgaard, Seung Lee, Bradford Mott, Kristy Elizabeth Boyer and James Lester
  2. Adapting Feedback Types According to Students' Affective States by Beate Grawemeyer, Wayne Holmes, Manolis Mavrikis and Sergio Gutiérrez-Santos
  3.  Can Young People with Autism Spectrum Disorder Benefit From an Open Learner Model? by Beate Grawemeyer, Hilary Johnson and Mark Brosnan
  4.  Affect Matters: Exploring the Impact of Feedback during Mathematical Tasks in an Exploratory Environment by Beate Grawemeyer, Manolis Mavrikis, Wayne Holmes, Alice Hansen, Katharina Loibl and Sergio Gutiérrez-Santos
  5.  How Do Learners Behave in Help-Seeking When Having a Choice? by Sebastian Gross and Niels Pinkwart
  6. Modelling Children’s Pedestrian Safety Skills in an Intelligent Virtual Reality Learning by Yecheng Gu, Sergey Sosnovsky and Carsten Ullrich
  7.  Measuring Misconceptions Through Item Response Theory by Eduardo Guzmán and Ricardo Conejo
  8. No child behind nor singled out? – Adaptive instruction combined with inclusive pedagogy in early math software by Magnus Haake, Layla Husain, Erik Anderberg and Agneta Gulz
  9.  An Integrated Emotion-aware Framework for Intelligent Tutoring Systems by Jason Harley, Susanne Lajoie, Claude Frasson and Nathan Hall
  10.  An extensible strategy language for describing cognitive skills by Bastiaan Heeren and Johan Jeuring
  11.  Purpose and Level of Feedback in an Exploratory Learning Environment for Fractions by Wayne Holmes, Manolis Mavrikis, Beate Grawemeyer and Alice Hansen
  12. What Should I Do Next? Adaptive Sequencing in the Context of Open Social Student Modeling by Roya Hosseini, Sharon Hsiao, Julio Guerra and Peter Brusilovsky
  13.  Expectancy Value Theory of Help Seeking Applied to Features in MOOCs by Iris Howley, Gaurav Tomar, Diyi Yang, Oliver Ferschke and Carolyn Penstein Rosé
  14. Challenges of Using Observational Data to Determine the Importance of Example Usage by Yun Huang, José González-Brenes and Peter Brusilovsky
  15. Clique Algorithm to Minimize Item Exposure for Uniform Test Forms Assembly by Takatoshi Ishii and Maomi Ueno
  16. Game features and individual differences: Interactive effects on motivation and performance by Matthew Jacovina, Erica Snow, G. Tanner Jackson and Danielle McNamara
  17.  Gamification of online learning by Jincheul Jang, Jason J.Y. Park and Mun Yi
  18. Examining the Relationship between Performance Feedback and Emotions in Diagnostic Reasoning: Toward a Predictive Framework for Emotional Support by Amanda Jarrell, Jason Harley, Susanne Lajoie and Laura Naismith
  19. Learning, Moment-by-Moment and Over the Long Term by Yang Jiang, Ryan Baker, Luc Paquette, Maria Ofelia San Pedro and Neil T. Heffernan

Poster 3

  1. When Is It Helpful to Restate Student Responses within a Tutorial Dialogue System? by Pamela Jordan, Patricia Albacete and Sandra Katz
  2.  Quality of LOD based Semantically Generated Questions by Corentin Jouault, Kazuhisa Seta and Yuki Hayashi
  3.  New Opportunities with Open Learner Models and Visual Learning Analytics by Judy Kay and Susan Bull
  4. The relationship between working memory capacity and students’ behaviour in a teachable agent-based software by Camilla Kirkegaard, Lisa Palmqvist, Annika Silvervarg and Agneta Gulz
  5. Support System for Discovering Lessons by Abstracting Historical Events by Tomoko Kojiri, Yusuke Nogami and Kazuhisa Seta
  6.  Predicting student performance from multiple data sources by Irena Koprinska, Joshua Stretton, Kalina Yacef and Mitchell Della Marta
  7.  Automated Generation of Self-Explanation Questions in Worked Examples in a Model-Based Tutor by Amruth Kumar
  8.  First Evaluation of the Physics instantiation of a Problem-Solving based Online Learning Platform by Rohit Kumar, Gregory K.W.K. Chung, Ayesha Madni and Bruce Roberts
  9. FARMA-ALG: an Application for Error Mediation in Computer Programming Skill Acquisition by Alexander Robert Kutzke and Alexandre Ibrahim Direne
  10. The Role of Peer Agent’s Learning Competency in Trialogue-based Reading Intelligent Systems by Haiying Li, Qinyu Cheng, Qiong Yu and Arthur Graesser
  11. Teaching Complex Problem Solving Processes by Chun Wai Liew and Franceska Xhakaj
  12. Learner-Adaptive Pedagogical Model in SIAL, an Open-Ended Intelligent Tutoring System for First Order Logic by Jose A. Maestro-Prieto and Arancha Simon-Hurtado
  13.  A Flexible Architecture to Predict Learning Gain in Heterogeneous Inquiry Learning Scenarios by Sven Manske, Tobias Hecking and Ulrich Hoppe
  14.  Worked Examples are more Efficient for Learning than High-Assistance Instructional Software by Bruce McLaren, Tamara Van Gog, Craig Ganoe, David Yaron and Karabinos Michael
  15.  Domain Model for Adaptive Blended Courses on Basic Programming by Larranaga Mikel and Ainhoa Alvarez
  16.  Learning Bayesian Networks for Student Modeling by Eva Millán, Guiomar Jiménez, Pérez-De-La-Cruz José-Luis and María-Victoria Belmonte
  17. A New Look at Tutorial Dialogue Modes by Donald Morrison, Benjamin Nye and Vasile Rus
  18. Data-driven Worked Examples Improve Retention and Completion in a Logic Tutor by Behrooz Mostafavi, Guojing Zhou, Collin Lynch, Min Chi and Tiffany Barnes
  19.  Improving Engagement in an E-Learning Environment by Kevin Mulqueeny, Leigh Mingle, Victor Kostyuk, Ryan Baker and Jaclyn Ocumpaugh
  20. Using Eye Tracking to Identify Learner Differences in Example Processing by Amir Shareghi Najar, Tanja Mitrovic and Kourosh Neshatian

Poster 4

  1. The Design Rationale of Logic-Muse, an Intelligent Tutoring System for Logical Reasoning in Multiple Contexts by Roger Nkambou, Clauvice Kenfack, Serge Robert and Janie Brisson
  2. Evaluating the Effectiveness of Integrating Natural Language Tutoring into an Existing Adaptive Learning System by Benjamin Nye, Philip Pavlik, Alistair Windsor, Andrew Olney, Mustafa Hajeer, Arthur Graesser and Xiangen Hu

  3. Adapting Collaboration Dialogue in Response to Intelligent Tutoring System Feedback by Jennifer Olsen, Vincent Aleven and Nikol Rummel

  4. The Role of Student Choice within Adaptive Tutoring by Korinn Ostrow and Neil Heffernan
  5.  Identifying affective trajectories in relation to learning gains during the interaction with a tutoring system by Gustavo Padrón-Rivera and Genaro Rebolledo-Méndez

  6.  A Predictive Model of Learning Gains for a Video and Exercise Intensive Learning Environment by José A. Ruipérez Valiente, Pedro J. Muñoz Merino and Carlos Delgado Kloos

  7. The Role of Learning Progressions In Unsupervised Online Intelligent Tutoring by Vasile Rus, Art Graesser, Nobal B. Niraula and Rajendra Banjade

  8.  When More Intelligent Tutoring in the Form of Buggy Messages Do Not Help by Douglas Selent and Neil Heffernan

  9.  Supporting students' interactions over case studies by Mayya Sharipova and Gordon McCalla

  10.  A framework for automated generation of questions across formal domains by Rahul Singhal, Martin Henz and Shubham Goyal

  11.  Impact of Influence and Convergence Processes on Student Learning and Rapport Building by Tanmay Sinha and Justine Cassell

  12.  Promoting Metacognitive Awareness within a Game-Based Intelligent Tutoring System by Erica Snow, Danielle McNamara, Matthew Jacovina, Laura Allen, Amy Johnson, Cecile Perret, Jianmin Dai, G. Tanner Jackson, Aaron Likens, Devin Russell and Jennifer Weston

  13.  Student Performance Estimation based on Topic Models Considering a range of Lessons by Shaymaa Sorour, Kazumasa Goda and Tsunenori Mine

  14. Towards a Model of How Learners Process Feedback by Michael Timms, Sacha Develle, Ursula Schwantner and Dulce Lay

  15. Item Response Model with Lower Order Parameters for Peer Assessment by Masaki Uto and Maomi Ueno

  16.  Selection Task and Adaptive Feedback to Improve the Searching Process in Task-Oriented Reading Situations by Maria-Ángeles Serrano, Eduardo Vidal-Abarca, Ignacio Máñez, and Carmen Candel

  17. Personalized Expert Skeleton Scaffolding in Concept Map Construction by Shang Wang, Erin Walker, Rishabh Chaudhry and Ruth Wylie

  18. Using Eye Gaze Data to Explore Student Interactions with Tutorial Dialogues in a Substep-based Tutor by Amali Weerasinghe, Myse Elmadani and Tanja Mitrovic

  19. UML-IT: An ITS to teach multiple modeling tasks by Amali Weerasinghe and Bernard Evans

  20.  Virtual Teams in Massive Open Online Courses by Miaomiao Wen, Diyi Yang and Carolyn Rose