Accepted Posters
Accepted Posters (Tentative on Publication Acceptance) [Orderd by Paper Number in EasyChair- No "ranking" is implied in this order. )
- 'Transfer learning for predictive models in MOOCs' by Sebastien Boyer and Kalyan Veeramachaneni
- 'Using Eye Tracking to Identify Learner Differences in Example Processing' by Amir Shareghi Najar, Tanja Mitrovic and Kourosh Neshatian
- '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
- 'Using Eye Gaze Data to Explore Student Interactions with Tutorial Dialogues in a Substep-based Tutor' by Amali Weerasinghe, Myse Elmadani and Tanja Mitrovic
- 'When Is It Helpful to Restate Student Responses within a Tutorial Dialogue System?' by Pamela Jordan, Patricia Albacete and Sandra Katz
- 'Domain Model for Adaptive Blended Courses on Basic Programming' by Larranaga Mikel and Ainhoa Alvarez
- 'Learning, Moment-by-Moment and Over the Long Term' by Yang Jiang, Ryan Baker, Luc Paquette, Maria Ofelia San Pedro and Neil T. Heffernan
- 'Item Response Model with Lower Order Parameters for Peer Assessment' by Masaki Uto and Maomi Ueno
- 'Automated Generation of Self-Explanation Questions in Worked Examples in a Model-Based Tutor' by Amruth Kumar
- 'Student Performance Estimation based on Topic Models Considering a range of Lessons' by Shaymaa Sorour, Kazumasa Goda and Tsunenori Mine
- 'Quality of LOD based Semantically Generated Questions' by Corentin Jouault, Kazuhisa Seta and Yuki Hayashi
- 'A framework for automated generation of questions across formal domains' by Rahul Singhal, Martin Henz and Shubham Goyal
- 'An extensible strategy language for describing cognitive skills' by Bastiaan Heeren and Johan Jeuring
- 'Learning Bayesian Networks for Student Modeling' by Eva Millán, Guiomar Jiménez, Pérez-De-La-Cruz José-Luis and María-Victoria Belmonte
- 'Clique Algorithm to Minimize Item Exposure for Uniform Test Forms Assembly' by Takatoshi Ishii and Maomi Ueno
- 'FARMA-ALG: an Application for Error Mediation in Computer Programming Skill Acquisition' by Alexander Robert Kutzke and Alexandre Ibrahim Direne
- 'Emotional, Epistemic, and Neutral Feedback in AutoTutor Trialogues to Improve Reading Comprehension' by Shi Feng, Janay Stewart, Danielle Clewley and Arthur Graesser
- 'Student Performance Prediction Using Collaborative Filtering Methods' by Hana Bydžovská
- 'Game features and individual differences: Interactive effects on motivation and performance' by Matthew Jacovina, Erica Snow, G. Tanner Jackson and Danielle McNamara
- 'Exploring through Simulation an Instructional Planner for Dynamic Open-Ended Learning Environments' by Stephanie Frost and Gordon McCalla
- 'Supporting students' interactions over case studies' by Mayya Sharipova and Gordon McCalla
- 'Towards a Model of How Learners Process Feedback' by Michael Timms, Sacha Develle, Ursula Schwantner and Dulce Lay
- 'Support System for Discovering Lessons by Abstracting Historical Events' by Tomoko Kojiri, Yusuke Nogami and Kazuhisa Seta
- '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
- 'Challenges of Using Observational Data to Determine the Importance of Example Usage' by Yun Huang, José González-Brenes and Peter Brusilovsky.
- 'The Role of Peer Agent’s Learning Competency in Trialogue-based Reading Intelligent Systems' by Haiying Li, Qinyu Cheng, Qiong Yu and Arthur Graesser
- 'Measuring Misconceptions Through Item Response Theory' by Eduardo Guzmán and Ricardo Conejo
- 'Can Young People with Autism Spectrum Disorder Benefit From an Open Learner Model?' by Beate Grawemeyer, Hilary Johnson and Mark Brosnan
- 'Predicting students' emotions using machine learning techniques' by Nabeela Altrabsheh, Mihaela Cocea and Sanaz Fallahkhair
- '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
- '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
- 'Domain Module Building from Textbooks: Integrating Automatic Exercise Generation' by Itziar Aldabe, Mikel Larrañaga, Montse Maritxalar, Ana Arruarte and Jon A. Elorriaga
- 'Steps Towards the Gamification of Collaborative Learning Scenarios Supported by Ontologies' by Geiser Chalco Challco, Seiji Isotani, Riichiro Mizoguchi and Ig Bittencourt
- 'A Flexible Architecture to Predict Learning Gain in Heterogeneous Inquiry Learning Scenarios' by Sven Manske, Tobias Hecking and Ulrich Hoppe
- '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
- '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
- 'Improving Learning Maps using An Adaptive Testing System: PLACEments' by Seth Adjei and Neil Heffernan
- 'Alleviating the Negative Effect of Up and Downvoting on Help Seeking in MOOC Discussion Forums' by Iris Howley, Gaurav Tomar, Diyi Yang, Oliver Ferschke and Carolyn Penstein Rosé
- '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
- '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
- 'Using Artificial Neural Networks to Identify Learning Styles' by Jason Bernard, Ting Wen Chang, Elvira Popescu and Sabine Graf
- 'The Role of Learning Progressions In Unsupervised Online Intelligent Tutoring' by Vasile Rus, Art Graesser, Nobal B. Niraula and Rajendra Banjade
- 'A New Look at Tutorial Dialogue Modes' by Donald Morrison, Benjamin Nye and Vasile Rus
- '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
- 'Predicting Misalignment between Teachers’ and Students’ Essay Scores Using Natural Language Processing Tools' by Laura Allen, Scott Crossley and Danielle McNamara
- 'Modelling Children’s Pedestrian Safety Skills in an Intelligent Virtual Reality Learning' by Yecheng Gu, Sergey Sosnovsky and Carsten Ullrich
- 'Teaching Complex Problem Solving Processes' by Chun Wai Liew and Franceska Xhakaj
- 'Towards the development of the Invention Coach: A naturalistic study of teacher guidance for an exploratory learning task'(title changed) by Catherine C. Chase, Jenna Marks, Deena Bernett, Melissa Bradley and Vincent Aleven
- 'An Integrated Emotion-aware Framework for Intelligent Tutoring Systems' by Jason Harley, Susanne Lajoie, Claude Frasson and Nathan Hall
- '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
- 'The Role of Student Choice within Adaptive Tutoring' by Korinn Ostrow and Neil Heffernan
- 'Data-driven Worked Examples Improve Retention and Completion in a Logic Tutor' by Behrooz Mostafavi, Guojing Zhou, Collin Lynch, Min Chi and Tiffany Barnes
- 'When More Intelligent Tutoring in the Form of Buggy Messages Do Not Help' by Douglas Selent and Neil Heffernan
- 'Adaptive Representation of Digital Resources Search Result in Personal Learning Environment' by Sawadogo Daouda, Suire Cyrille, Ronan Champagnat and Pascal Estraillier
- 'Improving Engagement in an E-Learning Environment' by Kevin Mulqueeny, Leigh Mingle, Victor Kostyuk, Ryan Baker and Jaclyn Ocumpaugh
- '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
- 'Impact of Influence and Convergence Processes on Student Learning and Rapport Building' by Tanmay Sinha and Justine Cassell
- '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
- 'Adapting Collaboration Dialogue in Response to Intelligent Tutoring System Feedback' by Jennifer Olsen, Vincent Aleven and Nikol Rummel
- 'Comparison of Expert Tutors through Syntactic Analysis of Transcripts' by Reva Freedman and Douglas Krieghbaum
- 'Identifying affective trajectories in relation to learning gains during the interaction with a tutoring system' by Gustavo Padrón-Rivera and Genaro Rebolledo-Méndez
- '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
- 'Predicting student performance from multiple data sources' by Irena Koprinska, Joshua Stretton, Kalina Yacef and Mitchell Della Marta
- 'Adapting Feedback Types According to Students' Affective States' by Beate Grawemeyer, Wayne Holmes, Manolis Mavrikis and Sergio Gutiérrez-Santos
- '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.
- 'Towards Investigating Performance Differences in Clinical Reasoning in a Technology Rich Learning Environment' by Tenzin Doleck, Amanda Jarrell, Eric Poitras and Susanne Lajoie
- 'UML-IT: An ITS to teach multiple modeling tasks' by Amali Weerasinghe and Bernard Evans
- 'Personalized Expert Skeleton Scaffolding in Concept Map Construction' by Shang Wang, Erin Walker, Rishabh Chaudhry and Ruth Wylie
- 'How Do Learners Behave in Help-Seeking When Having a Choice?' by Sebastian Gross and Niels Pinkwart
- 'Purpose and Level of Feedback in an Exploratory Learning Environment for Fractions' by Wayne Holmes, Manolis Mavrikis, Beate Grawemeyer and Alice Hansen
- 'Gamification of online learning' by Jincheul Jang, Jason J.Y. Park and Mun Yi
- 'Virtual Teams in Massive Open Online Courses' by Miaomiao Wen, Diyi Yang and Carolyn Rose
- '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
- '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
- '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
- 'New Opportunities with Open Learner Models and Visual Learning Analytics' by Judy Kay and Susan Bull