| 2016 | A Comparative Analysis of Techniques for Predicting Student Performance. Hana Bydzovská |
| 2016 | A Comparison of Automatic Teaching Strategies for Heterogeneous Student Populations. Benjamin Clément, Pierre-Yves Oudeyer, Manuel Lopes |
| 2016 | A Contextual Bandits Framework for Personalized Learning Action Selection. Andrew S. Lan, Richard G. Baraniuk |
| 2016 | A Coupled User Clustering Algorithm for Web-based Learning Systems. Ke Niu, Zhendong Niu, Xiangyu Zhao, Can Wang, Kai Kang, Min Ye |
| 2016 | A Data-Driven Framework of Modeling Skill Combinations for Deeper Knowledge Tracing. Yun Huang, Julio Guerra, Peter Brusilovsky |
| 2016 | A Nonlinear State Space Model for Identifying At-Risk Students in Open Online Courses. Feng Wang, Li Chen |
| 2016 | A Platform for Integrating and Analyzing Data to Evaluate the Impacts of Educational Technologies. Daniel Stanhope, Karl Rectanus |
| 2016 | A Scalable Learning Analytics Platform for Automated Writing Feedback. Jacqueline L. Feild, Nicholas Lewkow, Neil L. Zimmerman, Mark Riedesel, Alfred Essa |
| 2016 | Acting the Same Differently: A Cross-Course Comparison of User Behavior in MOOCs. Ben U. Gelman, Matt Revelle, Carlotta Domeniconi, Kalyan Veeramachaneni, Aditya Johri |
| 2016 | Adding eye-tracking AOI data to models of representation skills does not improve prediction accuracy. Martina A. Rau, Zachary A. Pardos |
| 2016 | Aim Low: Correlation-based Feature Selection for Model-based Reinforcement Learning. Shitian Shen, Min Chi |
| 2016 | An Automated Test of Motor Skills for Job Selection and Feedback. Bhanu Pratap Singh, Varun Aggarwal |
| 2016 | An Ensemble Method to Predict Student Performance in an Online Math Learning Environment. Martin Stapel, Zhilin Zheng, Niels Pinkwart |
| 2016 | Analysing and Refining Pilot Training. Bruno Emond, Scott Buffett, Cyril Goutte, Jaff Guo |
| 2016 | Applicability of Educational Data Mining in Afghanistan: Opportunities and Challenges. Abdul Rahman Sherzad |
| 2016 | Assessing Student-Generated Design Justifications in Virtual Engineering Internships. Vasile Rus, Dipesh Gautam, Zach Swiecki, David W. Shaffer, Art Graesser |
| 2016 | Automated Feedback on the Quality of Collaborative Processes: An Experience Report. Marcela Borge, Carolyn P. Rosé |
| 2016 | Automatic Assessment of Constructed Response Data in a Chemistry Tutor. Scott A. Crossley, Kris Kyle, Jodi L. Davenport, Danielle S. McNamara |
| 2016 | Automatic Gaze-Based Detection of Mind Wandering during Film Viewing. Caitlin Mills, Robert Bixler, Xinyi Wang, Sidney K. D'Mello |
| 2016 | Back to the basics: Bayesian extensions of IRT outperform neural networks for proficiency estimation. Kevin H. Wilson, Yan Karklin, Bojian Han, Chaitanya Ekanadham |
| 2016 | Beyond Log Files: Using Multi-Modal Data Streams Towards Data-Driven KC Model Improvement. Ran Liu, Jodi L. Davenport, John C. Stamper |
| 2016 | Boosted Decision Tree for Q-matrix Refinement. Peng Xu, Michel C. Desmarais |
| 2016 | Browsing-Pattern Mining from e-Book Logs with Non-negative Matrix Factorization. Atsushi Shimada, Fumiya Okubo, Hiroaki Ogata |
| 2016 | Calibrated Self-Assessment. Igor Labutov, Christoph Studer |
| 2016 | Can Word Probabilities from LDA be Simply Added up to Represent Documents? Zhiqiang Cai, Haiying Li, Xiangen Hu, Art Graesser |
| 2016 | Choosing versus Receiving Feedback: The Impact of Feedback Valence on Learning in an Assessment Game. Maria Cutumisu, Daniel L. Schwartz |
| 2016 | Classifying behavior to elucidate elegant problem solving in an educational game. Laura J. Malkiewich, Ryan S. Baker, Valerie Shute, Shiming Kai, Luc Paquette |
| 2016 | Closing the Loop with Quantitative Cognitive Task Analysis. Kenneth R. Koedinger, Elizabeth A. McLaughlin |
| 2016 | Collaborative Problem Solving Skills versus Collaboration Outcomes: Findings from Statistical Analysis and Data Mining. Jiangang Hao, Lei Liu, Alina von Davier, Patrick C. Kyllonen, Christopher Kitchen |
| 2016 | Comparison of Selection Criteria for Multi-Feature Hierarchical Activity Mining in Open Ended Learning Environments. Yi Dong, John S. Kinnebrew, Gautam Biswas |
| 2016 | Course Content Analysis: An Initiative Step toward Learning Object Recommendation Systems for MOOC Learners. Yiling Dai, Yasuhito Asano, Masatoshi Yoshikawa |
| 2016 | Course Enrollment Recommender System. Hana Bydzovská |
| 2016 | Data-Driven Education: Some opportunities and Challenges. Rakesh Agrawal |
| 2016 | Data-driven Automated Induction of Prerequisite Structure Graphs. Devendra Singh Chaplot, Yiming Yang, Jaime G. Carbonell, Kenneth R. Koedinger |
| 2016 | Deep Learning + Student Modeling + Clustering: a Recipe for Effective Automatic Short Answer Grading. Yuan Zhang, Rajat Shah, Min Chi |
| 2016 | Designing Interactive and Personalized Concept Mapping Learning Environments. Shang Wang |
| 2016 | Discovering 'Tough Love' Interventions Despite Dropout. Joseph Jay Williams, Anthony Botelho, Adam Sales, Neil T. Heffernan, Charles Lang |
| 2016 | Document Segmentation for Labeling with Academic Learning Objectives. Divyanshu Bhartiya, Danish Contractor, Sovan Biswas, Bikram Sengupta, Mukesh K. Mohania |
| 2016 | Does a Peer Recommender Foster Students' Engagement in MOOCs? Hugues Labarthe, François Bouchet, Rémi Bachelet, Kalina Yacef |
| 2016 | Dynamics of Peer Grading: An Empirical Study. Luca de Alfaro, Michael Shavlovsky |
| 2016 | Educational Technology: What 49 Schools Discovered about Usage when the Data were Uncovered. Daniel Stanhope, Karl Rectanus |
| 2016 | Effect of student ability and question difficulty on duration. Yijun Ma, Lalitha Agnihotri, Ryan S. Baker, Shirin Mojarad |
| 2016 | Enabling people to harness and control EDM for lifelong, life-wide learning. Judy Kay |
| 2016 | Enabling people to harness and control EDM for lifelong, life-wide learning. Judy Kay |
| 2016 | Equity of Learning Opportunities in the Chicago City of Learning Program. David Quigley, Ogheneovo Dibie, Md. Arafat Sultan, Katie Van Horne, William R. Penuel, Tamara Sumner, Ugochi Acholonu, Nichole Pinkard |
| 2016 | Estimation of prerequisite skills model from large scale assessment data using semantic data mining. Bruno Elias Penteado |
| 2016 | Examining the necessity of problem diagrams using MOOC AB experiments. Zhongzhou Chen, Neset Demirci, David E. Pritchard |
| 2016 | Execution Traces as a Powerful Data Representation for Intelligent Tutoring Systems for Programming. Benjamin Paaßen, Joris Jensen, Barbara Hammer |
| 2016 | Expediting Support for Social Learning with Behavior Modeling. Yohan Jo, Gaurav Tomar, Oliver Ferschke, Carolyn P. Rosé, Dragan Gasevic |
| 2016 | Exploring Learning Management System Interaction Data: Combining Data-driven and Theory-driven Approaches. Hongkyu Choi, Ji Eun Lee, Won-Joon Hong, Kyumin Lee, Mimi Recker, Andy Walker |
| 2016 | Exploring Social Influence on the Usage of Resources in an Online Learning Community. Ogheneovo Dibie, Tamara Sumner, Keith E. Maull, David Quigley |
| 2016 | Exploring and Following Students' Strategies When Completing Their Weekly Tasks. Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef |
| 2016 | Exploring the Effect of Student Confusion in Massive Open Online Courses. Diyi Yang, Robert E. Kraut, Carolyn P. Rosé |
| 2016 | Exploring the Impact of Data-driven Tutoring Methods on Students' Demonstrative Knowledge in Logic Problem Solving. Behrooz Mostafavi, Tiffany Barnes |
| 2016 | Extracting Measures of Active Learning and Student Self-Regulated Learning Strategies from MOOC Data. Nicholas Diana, Michael Eagle, John C. Stamper, Kenneth R. Koedinger |
| 2016 | Gauging MOOC Learners' Adherence to the Designed Learning Path. Dan Davis, Guanliang Chen, Claudia Hauff, Geert-Jan Houben |
| 2016 | Generating Data-driven Hints for Open-ended Programming. Thomas W. Price, Yihuan Dong, Tiffany Barnes |
| 2016 | Generating Semantic Concept Map for MOOCs. Zhuoxuan Jiang, Peng Li, Yan Zhang, Xiaoming Li |
| 2016 | Going Deeper with Deep Knowledge Tracing. Xiaolu Xiong, Siyuan Zhao, Eric Van Inwegen, Joseph Beck |
| 2016 | Guiding Students Towards Frequent High-Utility Paths in an Ill-Defined Domain. Igor Jugo, Bozidar Kovacic, Vanja Slavuj |
| 2016 | Hierarchical Cluster Analysis Heatmaps and Pattern Analysis: An Approach for Visualizing Learning Management System Interaction Data. Ji Eun Lee, Mimi Recker, Alex J. Bowers, Min Yuan |
| 2016 | Hint Availability Slows Completion Times in Summer Work. Paul Salvador Inventado, Peter Scupelli, Eric Van Inwegen, Korinn Ostrow, Neil Thomas Heffernan III, Jaclyn Ocumpaugh, Ryan S. Baker, Stefan Slater, Mia Almeda |
| 2016 | How Deep is Knowledge Tracing? Mohammad Khajah, Robert V. Lindsey, Michael Mozer |
| 2016 | How Good Is Popularity? Summary Grading in Crowdsourcing. Haiying Li, Zhiqiang Cai, Arthur C. Graesser |
| 2016 | How employment constrains participation in MOOCs? Mina Shirvani Boroujeni, Lukasz Kidzinski, Pierre Dillenbourg |
| 2016 | How quickly can wheel spinning be detected? Noboru Matsuda, Sanjay Chandrasekaran, John C. Stamper |
| 2016 | How to Judge Learning on Online Learning: Minimum Learning Judgment System. Jaechoon Jo, Heuiseok Lim |
| 2016 | How to Model Implicit Knowledge? Similarity Learning Methods to Assess Perceptions of Visual Representations. Martina A. Rau, Blake Mason, Robert D. Nowak |
| 2016 | Identifying Student Behaviors Early in the Term for Improving Online Course Performance. Makoto Mori, Philip Chan |
| 2016 | Identifying relevant user behavior and predicting learning and persistence in an ITS-based afterschool program. Scotty D. Craig, Xudong Huang, Jun Xie, Ying Fang, Xiangen Hu |
| 2016 | Individualizing Bayesian Knowledge Tracing. Are Skill Parameters More Important Than Student Parameters? Michael Yudelson |
| 2016 | Investigating Difficult Topics in a Data Structures Course Using Item Response Theory and Logged Data Analysis. Eric Fouh, Mohammed F. Farghally, Sally Hamouda, Kyu Han Koh, Clifford A. Shaffer |
| 2016 | Investigating Gender Difference on Homework in Middle School Mathematics. Mingyu Feng, Jeremy Roschelle, Craig Mason, Ruchi Bhanot |
| 2016 | Investigating Swarm Intelligence for Performance Prediction. Mohammad Majid al-Rifaie, Matthew Yee-King, Mark d'Inverno |
| 2016 | Joint Discovery of Skill Prerequisite Graphs and Student Models. Yetian Chen, José P. González-Brenes, Jin Tian |
| 2016 | LIVELINET: A Multimodal Deep Recurrent Neural Network to Predict Liveliness in Educational Videos. Arjun Sharma, Arijit Biswas, Ankit Gandhi, Sonal Patil, Om Deshmukh |
| 2016 | Learning Curves for Problems with Multiple Knowledge Components. Brett van de Sande |
| 2016 | Learning curves versus problem difficulty: an analysis of the Knowledge Component picture for a given context. Brett van de Sande |
| 2016 | MATHia X: The Next Generation Cognitive Tutor. Steven Ritter, Stephen Fancsali |
| 2016 | MOOC Learner Behaviors by Country and Culture; an Exploratory Analysis. Zhongxiu Liu, Rebecca Brown, Collin F. Lynch, Tiffany Barnes, Ryan S. Baker, Yoav Bergner, Danielle S. McNamara |
| 2016 | Massively Scalable EDM with Spark. Tristan Nixon |
| 2016 | Measuring Gameplay Affordances of User-Generated Content in an Educational Game. Andrew Hicks, Zhongxiu Liu, Michael Eagle, Tiffany Barnes |
| 2016 | Meta-learning for predicting the best vote aggregation method: Case study in collaborative searching of LOs. Alfredo Zapata Gonzalez, Víctor H. Menéndez, Cristóbal Romero, Manuel Emilio Prieto Méndez |
| 2016 | Mining Sequences of Gameplay for Embedded Assessment in Collaborative Learning. Philip Sheridan Buffum, Megan Frankosky, Kristy Elizabeth Boyer, Eric N. Wiebe, Bradford W. Mott, James C. Lester |
| 2016 | Mining behaviors of students in autograding submission system logs. Jessica McBroom, Bryn Jeffries, Irena Koprinska, Kalina Yacef |
| 2016 | Modeling Interactions Across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships. Anthony F. Botelho, Seth Adjei, Neil T. Heffernan |
| 2016 | Modeling Visitor Behavior in a Game-Based Engineering Museum Exhibit with Hidden Markov Models. Michael Tissenbaum, Matthew Berland, Vishesh Kumar |
| 2016 | Modeling the Influence of Format and Depth during Effortful Retrieval Practice. Jaclyn K. Maass, Philip I. Pavlik Jr. |
| 2016 | Modelling the way: Using action sequence archetypes to differentiate learning pathways from learning outcomes. Kelvin H. R. Ng, Kevin Hartman, Kai Liu, Andy W. H. Khong |
| 2016 | Next-Term Student Performance Prediction: A Recommender Systems Approach. Mack Sweeney, Jaime Lester, Huzefa Rangwala, Aditya Johri |
| 2016 | Novel features for capturing cooccurrence behavior in dyadic collaborative problem solving tasks. Vikram Ramanarayanan, Saad Khan |
| 2016 | On Competition for Undergraduate Co-op Placements: A Graph Mining Approach. Yuheng Helen Jiang, Lukasz Golab |
| 2016 | On generalizability of MOOC models. Lukasz Kidzinski, Kshitij Sharma, Mina Shirvani Boroujeni, Pierre Dillenbourg |
| 2016 | Pattern mining uncovers social prompts of conceptual learning with physical and virtual representations. Martina A. Rau |
| 2016 | Perfect Scores Indicate Good Students !? The Case of One Hundred Percenters in a Math Learning System. Zhilin Zheng, Martin Stapel, Niels Pinkwart |
| 2016 | Personalization of Learning Paths in Online Communities of Creators. Mingxuan Sun, Seungwon Yang |
| 2016 | Portrait of an Indexer - Computing Pointers Into Instructional Videos. Andrew Lamb, Jose Hernandez, Jeffrey D. Ullman, Andreas Paepcke |
| 2016 | Predicting Dialogue Acts for Intelligent Virtual Agents with Multimodal Student Interaction Data. Wookhee Min, Joseph B. Wiggins, Lydia Pezzullo, Alexandria Katarina Vail, Kristy Elizabeth Boyer, Bradford W. Mott, Megan Frankosky, Eric N. Wiebe, James C. Lester |
| 2016 | Predicting Off-task Behaviors for Adaptive Vocabulary Learning System. SungJin Nam |
| 2016 | Predicting Performance on MOOC Assessments using Multi-Regression Models. Zhiyun Ren, Huzefa Rangwala, Aditya Johri |
| 2016 | Predicting Post-Test Performance from Student Behavior: A High School MOOC Case Study. Sabina Tomkins, Arti Ramesh, Lise Getoor |
| 2016 | Predicting STEM Achievement with Learning Management System Data: Prediction Modeling and a Test of an Early Warning System. Michelle Dominguez, Matthew L. Bernacki, Phillip Merlin Uesbeck |
| 2016 | Predicting Student Progress from Peer-Assessment Data. Michael Mogessie Ashenafi, Marco Ronchetti, Giuseppe Riccardi |
| 2016 | Predicting student grades from online, collaborative social learning metrics using K-NN. Matthew Yee-King, Andreu Grimalt-Reynes, Mark d'Inverno |
| 2016 | Preliminary Results On Dialogue Act and Subact Classification in Chat-based Online Tutorial Dialogues. Vasile Rus, Rajendra Banjade, Nabin Maharjan, Donald M. Morrison, Steven Ritter, Michael Yudelson |
| 2016 | Proceedings of the 9th International Conference on Educational Data Mining, EDM 2016, Raleigh, North Carolina, USA, June 29 - July 2, 2016 Tiffany Barnes, Min Chi, Mingyu Feng |
| 2016 | Properties and Applications of Wrong Answers in Online Educational Systems. Radek Pelánek, Jirí Rihák |
| 2016 | Quantifying How Students Use an Online Learning System: A Focus on Transitions and Performance. Erica L. Snow, Andrew E. Krumm, Timothy E. Podkul, Mingyu Feng, Alex J. Bowers |
| 2016 | Redefining "What" in Analyses of Who Does What in MOOCs. Alok Baikadi, Carrie Demmans Epp, Yanjin Long, Christian Schunn |
| 2016 | Riding an emotional roller-coaster: A multimodal study of young child's math problem solving activities. Lujie Chen, Xin Li, Zhuyun Xia, Zhanmei Song, Louis-Philippe Morency, Artur Dubrawski |
| 2016 | Robust Predictive Models on MOOCs : Transferring Knowledge across Courses. Sebastien Boyer, Kalyan Veeramachaneni |
| 2016 | SAS Tools for Educational Data Mining. Jennifer Sabourin, Scott W. McQuiggan, André De Waal |
| 2016 | Seeking Programming-related Information from Large Scaled Discussion Forums, Help or Harm? Yihan Lu, Sharon I-Han Hsiao |
| 2016 | Semantic Features of Math Problems: Relationships to Student Learning and Engagement. Stefan Slater, Jaclyn Ocumpaugh, Ryan S. Baker, Peter Scupelli, Paul Salvador Inventado, Neil T. Heffernan |
| 2016 | Semi-Automatic Detection of Teacher Questions from Human-Transcripts of Audio in Live Classrooms. Nathaniel Blanchard, Patrick J. Donnelly, Andrew Olney, Borhan Samei, Sean Kelly, Xiaoyi Sun, Brooke Ward, Martin Nystrand, Sidney K. D'Mello |
| 2016 | Semi-Markov model for simulating MOOC students. Louis Faucon, Lukasz Kidzinski, Pierre Dillenbourg |
| 2016 | Sequence Matters, But How Exactly? A Method for Evaluating Activity Sequences from Data. Shayan Doroudi, Kenneth Holstein, Vincent Aleven, Emma Brunskill |
| 2016 | Soft Clustering of Physics Misconceptions Using a Mixed Membership Model. Guoguo Zheng, Seohyun Kim, Yanyan Tan, April Galyardt |
| 2016 | Stimulating collaborative activity in online social learning environments with Markov decision processes. Matthew Yee-King, Mark d'Inverno |
| 2016 | Student Emotion, Co-occurrence, and Dropout in a MOOC Context. John Z. Dillon, Nigel Bosch, Malolan Chetlur, Nirandika Wanigasekara, G. Alex Ambrose, Bikram Sengupta, Sidney K. D'Mello |
| 2016 | Student Usage Predicts Treatment Effect Heterogeneity in the Cognitive Tutor Algebra I Program. Adam Sales, Asa Wilks, John Pane |
| 2016 | Study on Automatic Scoring of Descriptive Type Tests using Text Similarity Calculations. Izuru Nogaito, Keiji Yasuda, Hiroaki Kimura |
| 2016 | Studying Assignment Size and Student Performance Using Propensity Score Matching. Shirin Mojarad |
| 2016 | Temporally Coherent Clustering of Student Data. Severin Klingler, Tanja Käser, Barbara Solenthaler, Markus H. Gross |
| 2016 | Tensor Factorization for Student Modeling and Performance Prediction in Unstructured Domain. Shaghayegh Sahebi, Yu-Ru Lin, Peter Brusilovsky |
| 2016 | Text Classification of Student Self-Explanations in College Physics Questions. Sameer Bhatnagar, Michel C. Desmarais, Nathaniel Lasry, Elizabeth S. Charles |
| 2016 | The Affective Impact of Tutor Questions: Predicting Frustration and Engagement. Alexandria Katarina Vail, Joseph B. Wiggins, Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Eric N. Wiebe, James C. Lester |
| 2016 | The Apprentice Learner architecture: Closing the loop between learning theory and educational data. Christopher J. MacLellan, Erik Harpstead, Rony Patel, Kenneth R. Koedinger |
| 2016 | The Eyes Have It: Gaze-based Detection of Mind Wandering during Learning with an Intelligent Tutoring System. Stephen Hutt, Caitlin Mills, Shelby White, Patrick J. Donnelly, Sidney K. D'Mello |
| 2016 | Time Series Analysis of VLE Activity Data. Ewa Mlynarska, Pádraig Cunningham, Derek Greene |
| 2016 | Time Series Cross Section method for monitoring students' page views of course materials and improving classroom teaching. Konomu Dobashi |
| 2016 | Topic-wise Classification of MOOC Discussions: A Visual Analytics Approach. Thushari Atapattu, Katrina Falkner, Hamid Tarmazdi |
| 2016 | Toward Automated Support for Teacher-Facilitated Formative Feedback on Student Writing. Jennifer Sabourin, Lucy Kosturko, Kristin Hoffmann, Scott W. McQuiggan |
| 2016 | Toward Data-Driven Design of Educational Courses: A Feasibility Study. Rakesh Agrawal, Behzad Golshan, Evangelos E. Papalexakis |
| 2016 | Toward Revision-Sensitive Feedback in Automated Writing Evaluation. Rod D. Roscoe, Matthew E. Jacovina, Laura K. Allen, Adam C. Johnson, Danielle S. McNamara |
| 2016 | Towards Integrating Human and Automated Tutoring Systems. Steven Ritter, Michael Yudelson, Stephen Fancsali, Susan R. Berman |
| 2016 | Towards Modeling Chunks in a Knowledge Tracing Framework for Students' Deep Learning. Yun Huang, Peter Brusilovsky |
| 2016 | Towards the Understanding of Gestures and Vocalization Coordination in Teaching Context. Roghayeh Barmaki, Charles E. Hughes |
| 2016 | Transactivity as a Predictor of Future Collaborative Knowledge Integration in Team-Based Learning in Online Courses. Miaomiao Wen, Keith Maki, Xu Wang, Steven Dow, James D. Herbsleb, Carolyn P. Rosé |
| 2016 | TutorSpace: Content-centric Platform for Enabling Blended Learning in Developing Countries. Kuldeep Yadav, Kundan Shrivastava, Ranjeet Kumar, Saurabh Srivastava, Om Deshmukh |
| 2016 | Understanding Engagement in MOOCs. Qiujie Li, Rachel B. Baker |
| 2016 | Unnatural Feature Engineering: Evolving Augmented Graph Grammars for Argument Diagrams. Linting Xue, Collin F. Lynch, Min Chi |
| 2016 | Using Case-Based Reasoning to Automatically Generate High-Quality Feedback for Programming Exercises. Angelo Kyrilov |
| 2016 | Using Inverse Planning for Personalized Feedback. Anna N. Rafferty, Rachel Jansen, Thomas L. Griffiths |
| 2016 | Validating Automated Triggers and Notifications @ Scale in Blackboard Learn. John Whitmer, Aleksander Dietrichson, Bryan O'Haver |
| 2016 | Validating Game-based Measures of Implicit Science Learning. Elizabeth Rowe, Jodi Asbell-Clarke, Michael Eagle, Andrew Hicks, Tiffany Barnes, Rebecca Brown, Teon Edwards |
| 2016 | WISE Ways to Strengthen Inquiry Science Learning. Marcia C. Linn |
| 2016 | Web as a textbook: Curating Targeted Learning Paths through the Heterogeneous Learning Resources on the Web. Igor Labutov, Hod Lipson |
| 2016 | {ENTER}ing the Time Series {SPACE}: Uncovering the Writing Process through Keystroke Analyses. Laura K. Allen, Matthew E. Jacovina, Mihai Dascalu, Rod D. Roscoe, Kevin Kent, Aaron D. Likens, Danielle S. McNamara |