| 2017 | A Framework for the Estimation of Students' Programming Abilities. Ella Albrecht |
| 2017 | A Latent Factor Model For Instructor Content Preference Analysis. Jack Z. Wang, Andrew S. Lan, Phillip Grimaldi, Richard G. Baraniuk |
| 2017 | A Neural Network Approach to Estimate Student Skill Mastery in Cognitive Diagnostic Assessments. Qi Guo, Maria Cutumisu, Ying Cui |
| 2017 | A Prediction and Early Alert Model Using Learning Management System Data and Grounded in Learning Science Theory. Won-Joon Hong, Matthew L. Bernacki |
| 2017 | A Topic Model and Social Network Analysis of a School Blogging Platform. Xiaoting Kuang, Hui Soo Chae, Brian Hughes, Gary Natriello |
| 2017 | Adaptive Assessment Experiment in a HarvardX MOOC. Ilia Rushkin, Yigal Rosen, Andrew M. Ang, Colin Fredericks, Dustin Tingley, Mary Jean Blink, Glenn Lopez |
| 2017 | Adaptive Sequential Recommendation for Discussion Forums on MOOCs using Context Trees. Fei Mi, Boi Faltings |
| 2017 | Addressing Student Behavior and Affect with Empathy and Growth Mindset. Shamya Karumbaiah, Rafael Lizarralde, Danielle Allessio, Beverly P. Woolf, Ivon Arroyo |
| 2017 | An Analysis of Students' Questions in MOOCs Forums. Meng Cao, Yun Tang, Xiangen Hu |
| 2017 | An Effective Framework for Automatically Generating and Ranking Topics in MOOC Videos. Jile Zhu, Xiang Li, Zhuo Wang, Ming Zhang |
| 2017 | An Extended Learner Modeling Method to Assess Students' Learning Behaviors. Yi Dong, Gautam Biswas |
| 2017 | An Offline Evaluation Method for Individual Treatment Rules and How to Find Heterogeneous Treatment Effect. Thanaporn Patikorn, Neil T. Heffernan, Jian Zou |
| 2017 | Analysis of problem-solving behavior in open-ended scientific-discovery game challenges. Aaron Bauer, Jeff Flatten, Zoran Popovic |
| 2017 | Application of the Dynamic Time Warping Distance for the Student Drop-out Prediction on Time Series Data. Alexander Askinadze, Stefan Conrad |
| 2017 | Assessing Computer Literacy of Adults with Low Literacy Skills. Andrew Olney, Dariush Bakhtiari, Daphne Greenberg, Arthur C. Graesser |
| 2017 | Assessing the Dialogic Properties of Classroom Discourse: Proportion Models for Imbalanced Classes. Andrew Olney, Borhan Samei, Patrick J. Donnelly, Sidney D'Mello |
| 2017 | Automated Assessment for Scientific Explanations in On-line Science Inquiry. Haiying Li, Janice D. Gobert, Rachel Dickler |
| 2017 | Automated Extraction of Results from Full Text Journal Articles. R. Wes Crues |
| 2017 | Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help. Nicholas Diana, Michael Eagle, John C. Stamper, Shuchi Grover, Marie A. Bienkowski, Satabdi Basu |
| 2017 | Automatic Scoring Method for Descriptive Test Using Recurrent Neural Network. Keiji Yasuda, Izuru Nogaito, Hiroyuki Kawashima, Hiroaki Kimura, Masayuki Hashimoto |
| 2017 | Behavior-Based Latent Variable Model for Learner Engagement. Andrew S. Lan, Christopher G. Brinton, Tsung-Yen Yang, Mung Chiang |
| 2017 | Can AI help MOOCs? Jie Tang |
| 2017 | Can Typical Behaviors Identified in MOOCs be Discovered in Other Courses? Truong-Sinh An, Christopher Krauss, Agathe Merceron |
| 2017 | Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments. Biao Yin, Anthony F. Botelho, Thanaporn Patikorn, Neil T. Heffernan, Jian Zou |
| 2017 | Characterizing Collaboration in the Pair Program Tracing and Debugging Eye-Tracking Experiment: A Preliminary Analysis. Maureen Villamor, Ma. Mercedes T. Rodrigo |
| 2017 | Closing the loop: Automated data-driven cognitive model discoveries lead to improved instruction and learning. Ran Liu, Kenneth R. Koedinger |
| 2017 | Cluster Analysis of Real Time Location Data - An Application of Gaussian Mixture Models. Alvaro Ortiz-Vazquez, Xiang Liu, Ching-Fu Lan, Hui Soo Chae, Gary Natriello |
| 2017 | Clustering Student Sequential Trajectories Using Dynamic Time Wrapping. Shitian Shen, Min Chi |
| 2017 | Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization. Seth Adjei, Korinn Ostrow, Erik Erickson, Neil T. Heffernan |
| 2017 | Combining Machine Learning and Natural Language Processing Approach to Assess Literary Text Comprehension. Renu Balyan, Kathryn S. McCarthy, Danielle S. McNamara |
| 2017 | Convolutional Neural Network for Automatic Detection of Sociomoral Reasoning Level. Ange Adrienne Nyamen Tato, Roger Nkambou, Aude Dufresne |
| 2017 | Data-Mining Textual Responses to Uncover Misconception Patterns. Joshua J. Michalenko, Andrew S. Lan, Andrew E. Waters, Phillip Grimaldi, Richard G. Baraniuk |
| 2017 | Developing Chinese Automated Essay Scoring Model to Assess College Students' Essay Quality. Yu-Ju Lu, Bor-Chen Kuo, Kai-Chih Pai |
| 2017 | Development of a Trajectory Model for Visualizing Teacher ICT Usage Based on Event Segmentation Data. Longwei Zheng, Rui Shi, Xiaoqing Gu, Bingcong Wu, Yuanyuan Feng |
| 2017 | Discovering skill prerequisite structure through Bayesian estimation and nested model comparison. Soo-Yun Han, Jiyoung Yoon, Yun Joo Yoo |
| 2017 | Dropout Prediction in Home Care Training. Wenjun Zeng, Si-Chi Chin, Brenda Zeimet, Rui Kuang, Chih-Lin Chi |
| 2017 | Dropout Prediction in MOOCs using Learners' Study Habits Features. Han Wan, Jun Ding, Xiaopeng Gao, David Pritchard |
| 2017 | Efficient Feature Embeddings for Student Classification with Variational Auto-encoders. Severin Klingler, Rafael Wampfler, Tanja Käser, Barbara Solenthaler, Markus H. Gross |
| 2017 | Emerging Patterns in Student's Learning Attributes through Text Mining. Kejkaew Thanasuan, Warasinee Chaisangmongkon, Chanikarn Wongviriyawong |
| 2017 | Epistemic Network Analysis and Topic Modeling for Chat Data from Collaborative Learning Environment. Zhiqiang Cai, Brendan R. Eagan, Nia Dowell, James W. Pennebaker, Arthur C. Graesser, David W. Shaffer |
| 2017 | Estimating Individual Treatment Effect from Educational Studies with Residual Counterfactual Networks. Siyuan Zhao, Neil T. Heffernan |
| 2017 | Evaluation of a Data-driven Feedback Algorithm for Open-ended Programming. Thomas W. Price, Rui Zhi, Tiffany Barnes |
| 2017 | Exploring the Relationship Between Student Pre-knowledge and Engagement in MOOC Class Using Polytomous IRT. Jingxuan Liu, Hongli Li |
| 2017 | Few hundred parameters outperform few hundred thousand? Amar Lalwani, Sweety Agrawal |
| 2017 | Gaze-based Detection of Mind Wandering during Lecture Viewing. Stephen Hutt, Jessica Hardey, Robert Bixler, Angela Stewart, Evan F. Risko, Sidney D'Mello |
| 2017 | Generalizability of Face-Based Mind Wandering Detection Across Task Contexts. Angela Stewart, Nigel Bosch, Sidney D'Mello |
| 2017 | Grade Prediction with Temporal Course-wise Influence. Zhiyun Ren, Xia Ning, Huzefa Rangwala |
| 2017 | Graph-based Educational Data Mining. Collin F. Lynch, Tiffany Barnes, Linting Xue, Niki Gitinabard |
| 2017 | Grouping Students for Maximizing Learning from Peers. Rakesh Agrawal, Sharad Nandanwar, Narasimha Murty Musti |
| 2017 | Identifiability of the Bayesian Knowledge Tracing Model. Junchen Feng |
| 2017 | Identifying relationships between students' questions type and their behavior. Fatima Harrak, François Bouchet, Vanda Luengo |
| 2017 | Identifying student communities in blended courses. Niki Gitinabard, Collin F. Lynch, Sarah Heckman, Tiffany Barnes |
| 2017 | Improving Models of Peer Grading in SPOC. Yong Han, Wenjun Wu, Xuan Zhou |
| 2017 | Inferring Frequently Asked Questions from Student Question Answering Forums. Renuka Sindhgatta, Smit Marvaniya, Tejas I. Dhamecha, Bikram Sengupta |
| 2017 | Intelligent Argument Grading System forStudent-produced Argument Diagrams. Linting Xue |
| 2017 | Intelligent Composition of Test Papers based on MOOC Learning Data. Lin Ma, Yuchun Ma |
| 2017 | Learner Affect Through the Looking Glass: Characterization and Detection of Confusion in Online Courses. Ziheng Zeng, Snigdha Chaturvedi, Suma Bhat |
| 2017 | Learning to Represent Student Knowledge on Programming Exercises Using Deep Learning. Lisa Wang, Angela Sy, Larry Liu, Chris Piech |
| 2017 | Linking Language to Math Success in a Blended Course. Scott A. Crossley, Tiffany Barnes, Collin F. Lynch, Danielle S. McNamara |
| 2017 | Making the Grade: How Learner Engagement Changes After Passing a Course. David Lang, Ben Domingue, Alex Kindel, Andreas Paepcke |
| 2017 | Measuring Similarity of Educational Items Using Data on Learners' Performance. Jirí Rihák, Radek Pelánek |
| 2017 | Metacognitive Prompt Overdose: Positive and Negative Effects of Prompts in iSTART. Kathryn S. McCarthy, Amy M. Johnson, Aaron D. Likens, Zachary Martin, Danielle S. McNamara |
| 2017 | Mining Innovative Augmented Graph Grammars for Argument Diagrams through Novelty Selection. Linting Xue, Collin F. Lynch, Min Chi |
| 2017 | Modeling Classifiers for Virtual Internships Without Participant Data. Dipesh Gautam, Zachari Swiecki, David W. Shaffer, Vasile Rus, Arthur C. Graesser |
| 2017 | Modeling Dormitory Occupancy Using Markov Chains. David D. Pokrajac, Kimberley Sudler, Diana Yankovich, Teresa Hardee |
| 2017 | Modeling MOOC Student Behavior With Two-Layer Hidden Markov Models. Chase Geigle, ChengXiang Zhai |
| 2017 | Modeling Network Dynamics of MOOC Discussion Interactions at Scale. Jingjing Zhang, Maxim Skryabin |
| 2017 | Modeling Wheel-spinning and Productive Persistence in Skill Builders. Shimin Kai, Ma. Victoria Almeda, Ryan S. Baker, Nicole Shechtman, Cristina Heffernan, Neil T. Heffernan |
| 2017 | Modeling the Zone of Proximal Development with a Computational Approach. Irene-Angelica Chounta, Bruce M. McLaren, Patricia L. Albacete, Pamela W. Jordan, Sandra Katz |
| 2017 | MyCOS Intelligent Teaching Assistant. Jiao Guo, Xinhua Huang, Boqing Wang |
| 2017 | On the Influence on Learning of Student Compliance with Prompts Fostering Self-Regulated Learning. Sébastien Lallé, Cristina Conati, Roger Azevedo, Michelle Taub, Nicholas Mudrick |
| 2017 | On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning. Yingying Bao, Guanliang Chen, Claudia Hauff |
| 2017 | Online Learning Persistence and Academic Achievement. Ying Fang, Benjamin Nye, Philip I. Pavlik Jr., Yonghong Xu, Arthur C. Graesser, Xiangen Hu |
| 2017 | Personalized Feedback for Open-Response Mathematical Questions using Long Short-Term Memory Networks. Joshua J. Michalenko, Andrew S. Lan, Richard G. Baraniuk |
| 2017 | Predicting Performance in a Small Private Online Course. Han Wan, Jun Ding, Xiaopeng Gao, Qiaoye Yu, Kangxu Liu |
| 2017 | Predicting Prospective Peer Helpers to Provide Just-In-Time Help to Users in Question and Answer Forums. Oluwabukola Mayowa Ishola, Gordon McCalla |
| 2017 | Predicting Short- and Long-Term Vocabulary Learning via Semantic Features of Partial Word Knowledge. SungJin Nam, Gwen A. Frishkoff, Kevyn Collins-Thompson |
| 2017 | Predicting Student Retention from Behavior in an Online Orientation Course. Shimin Kai, Juan Miguel L. Andres, Luc Paquette, Ryan S. Baker, Kati Molnar, Harriet Watkins, Michael Moore |
| 2017 | Proceedings of the 10th International Conference on Educational Data Mining, EDM 2017, Wuhan, Hubei, China, June 25-28, 2017 Xiangen Hu, Tiffany Barnes, Arnon Hershkovitz, Luc Paquette |
| 2017 | Real-time programming exercise feedback in MOOCs. Zhenghao Chen, Andy Nguyen, Amory Schlender, Jiquan Ngiam |
| 2017 | RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests. Hassan Khosravi, Kendra M. L. Cooper, Kirsty Kitto |
| 2017 | Sequence Modelling For Analysing Student Interaction with Educational Systems. Christian Hansen, Casper Hansen, Niklas Hjuler, Stephen Alstrup, Christina Lioma |
| 2017 | Sharing and Reusing Data and Analytic Methods with LearnSphere. Ran Liu, Kenneth R. Koedinger, John C. Stamper, Philip I. Pavlik Jr. |
| 2017 | Short-Answer Responses to STEM Exercises: Measuring Response Validity and Its Impact on Learning. Andrew E. Waters, Phillip Grimaldi, Andrew S. Lan, Richard G. Baraniuk |
| 2017 | Social work in the classroom? A tool to evaluate topical relevance in student writing. Heeryung Choi, Zijian Wang, Christopher Brooks, Kevyn Collins-Thompson, Beth Glover Reed, Dale Fitch |
| 2017 | Student Learning Strategies to Predict Success in an Online Adaptive Mathematics Tutoring System. Jun Xie, Shirin Mojarad, Keith T. Shubeck, Alfred Essa, Ryan S. Baker, Xiangen Hu |
| 2017 | Student Use of Inquiry Simulations in Middle School Science. Elizabeth A. McBride |
| 2017 | Student Use of Scaffolded Inquiry Simulations in Middle School Science. Elizabeth A. McBride, Jonathan M. Vitale, Marcia C. Linn |
| 2017 | Studying MOOC Completion at Scale Using the MOOC Replication Framework. Juan Miguel L. Andres, Ryan S. Baker, George Siemens, Dragan Gasevic, Catherine A. Spann, Scott A. Crossley |
| 2017 | Supporting the Encouragement of Forum Participation. Aashna Garg, Andreas Paepcke |
| 2017 | Task and Timing: Separating Procedural and Tactical Knowledge in Student Models. Joshua Cook, Collin F. Lynch, Andrew Hicks, Behrooz Mostafavi |
| 2017 | Teaching Informal Logical Fallacy Identification with a Cognitive Tutor. Nicholas Diana, John C. Stamper, Kenneth R. Koedinger |
| 2017 | Tell Me More: Digital Eyes to the Physical World for Early Childhood Learning. Vijay Ekambaram, Ruhi Sharma Mittal, Prasenjit Dey, Ravindranath Kokku, Aditya K. Sinha, Satya V. Nitta |
| 2017 | Text analysis with LIWC and Coh-Metrix: Portraying MOOCs Instructors. Junyi Li, Yun Tang, Lijun Sun, Xiangen Hu |
| 2017 | The Antecedents of and Associations with Elective Replay in An Educational Game: Is Replay Worth It? Zhongxiu Liu, Christa Cody, Tiffany Barnes, Collin F. Lynch, Teomara Rutherford |
| 2017 | The Misidentified Identifiability Problem of Bayesian Knowledge Tracing. Shayan Doroudi, Emma Brunskill |
| 2017 | The Reading Ability of College Freshmen. Andrew Olney, Breya Walker, Raven Davis, Arthur C. Graesser |
| 2017 | The evolution of virtual tutors, clinician, and companions: A 20-year perspective on conversational agents in real-world applications. Ronald Cole |
| 2017 | Toward Replicable Predictive Model Evaluation in MOOCs. Josh Gardner, Christopher Brooks |
| 2017 | Toward the Automatic Labeling of Course Questions for Ensuring their Alignment with Learning Outcomes. S. Supraja, Kevin Hartman, Sivanagaraja Tatinati, Andy W. H. Khong |
| 2017 | Towards Automatic Classification of Learning Objects: Reducing the Number of Used Features. Cristóbal Romero, Pedro G. Espejo, Eva Gibaja, Alfredo Zapata Gonzalez, Víctor H. Menéndez |
| 2017 | Towards Closing the Loop: Bridging Machine-induced Pedagogical Policies to Learning Theories. Guojing Zhou, Jianxun Wang, Collin F. Lynch, Min Chi |
| 2017 | Towards reliable and valid measurement of individualized student parameters. Ran Liu, Kenneth R. Koedinger |
| 2017 | Tracking Online Reading of College Students. Andrew Olney, Eric Hosman, Arthur C. Graesser, Sidney D'Mello |
| 2017 | Tutorial: Principal Stratification for EDM Experiments. Adam Sales |
| 2017 | Understanding Student's Reviewing and Reflection Behaviors Using Web-based Programming Grading Assistant. Yancy Vance M. Paredes, Po-Kai Huang, Sharon I-Han Hsiao |
| 2017 | Untangling The Program Name Versus The Curriculum: An Investigation of Titles and Curriculum Content. R. Wes Crues |
| 2017 | Using Graph-based Modelling to explore changes in students' affective states during exploratory learning tasks. Beate Grawemeyer, Alex Wollenschlaeger, Sergio Gutiérrez Santos, Wayne Holmes, Manolis Mavrikis, Alexandra Poulovassilis |
| 2017 | Using Temporal Association Rule Mining to Predict Dyadic Rapport in Peer Tutoring. Michael A. Madaio, Rae Lasko, Justine Cassell, Amy Ogan |
| 2017 | Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects. Thanaporn Patikorn, Douglas Selent, Neil T. Heffernan, Joseph Beck, Jian Zou |
| 2017 | Using an Additive Factor Model and Performance Factor Analysis to Assess Learning Gains in a Tutoring System to Help Adults with Reading Difficulties. Genghu Shi, Philip I. Pavlik Jr., Arthur C. Graesser |
| 2017 | When and who at risk? Call back at these critical points. Yuntao Li, Chengzhen Fu, Yan Zhang |
| 2017 | Whitebox: A Device To Assist Group Work Evaluation. Daisuke Yukita |
| 2017 | Why data standards are critical for EDM and AIED. Xiangen Hu, Robby Robson, Avron Barr |
| 2017 | Workshop proposal: deep learning for educational data mining. Joseph Beck, Min Chi, Ryan S. Baker |
| 2017 | Zone out no more: Mitigating mind wandering during computerized reading. Sidney K. D'Mello, Caitlin Mills, Robert Bixler, Nigel Bosch |