| Improving Early Warning Systems with Categorized Course Resource Usage RJ Waddington, SJ Nam, S Lonn, SD Teasley Journal of Learning Analytics 3 (3), 263-290, 2016 | 43 | 2016 |
| Customized course advising: investigating engineering student success with incoming profiles and patterns of concurrent course enrollment SJ Nam, S Lonn, T Brown, CS Davis, D Koch Proceedings of the Fourth International Conference on Learning Analytics And …, 2014 | 30 | 2014 |
| Predicting students disengaged behaviors in an online meaning-generation task SJ Nam, G Frishkoff, K Collins-Thompson IEEE Transactions on Learning Technologies 11 (3), 362-375, 2018 | 26 | 2018 |
| Practice exams make perfect: incorporating course resource use into an early warning system RJ Waddington, SJ Nam Proceedings of the Fourth International Conference on Learning Analytics And …, 2014 | 21 | 2014 |
| Integrating students’ behavioral signals and academic profiles in early warning system SJ Nam, P Samson Artificial Intelligence in Education: 20th International Conference, AIED …, 2019 | 14 | 2019 |
| Dynamic Support of Contextual Vocabulary Acquisition for Reading (DSCoVAR): An Intelligent Tutor for Contextual Word Learning GA Frishkoff, K Collins-Thompson, SJ Nam, L Hodges, SA Crossley Adaptive Educational Technologies for Literacy Instruction, 91-103, 2016 | 12 | 2016 |
| Generating highlights automatically from text-reading behaviors on mobile devices JH Oh, SJ Nam, J Lee CHI'14 Extended Abstracts on Human Factors in Computing Systems, 2317-2322, 2014 | 9 | 2014 |
| Predicting Short-and Long-Term Vocabulary Learning via Semantic Features of Partial Word Knowledge SJ Nam, G Frishkoff, K Collins-Thompson Educational Data Mining, 2017 | 8 | 2017 |
| “Why My Essay Received a 4?”: A Natural Language Processing Based Argumentative Essay Structure Analysis B Yang, S Nam, Y Huang International Conference on Artificial Intelligence in Education, 279-290, 2023 | 4 | 2023 |
| Using Behavioral Interactions from a Mobile Device to Classify the Reader's Prior Familiarity and Goal Conditions S Nam, Z Bylinskii, C Tensmeyer, C Wigington, R Jain, T Sun arXiv preprint arXiv:2004.12016, 2020 | 3 | 2020 |
| Understanding and Supporting Vocabulary Learners via Machine Learning on Behavioral and Linguistic Data S Nam | 3 | 2020 |
| Predicting Off-task Behaviors in an Adaptive Vocabulary Learning System SJ Nam Educational Data Mining, 672-674, 2016 | 2 | 2016 |
| An attention-based model for predicting contextual informativeness and curriculum learning applications S Nam, D Jurgens, G Frishkoff, K Collins-Thompson arXiv preprint arXiv:2204.09885, 2022 | 1 | 2022 |
| Modeling off-task behaviors in a meaning generation task SJ Nam, K Collins-Thompson, G Frishkoff Measurement in Digital Environments White Paper Series, 2017 | 1 | 2017 |
| Rhetor: Providing LLM-Based Feedback for Students’ Argumentative Essays KB Yang, S Nam, Y Huang, S Wood European Conference on Technology Enhanced Learning, 201-205, 2024 | | 2024 |
| Finding Educationally Supportive Contexts for Vocabulary Learning with Attention-Based Models S Nam, K Collins-Thompson, D Jurgens, X Tong Proceedings of the 2024 Joint International Conference on Computational …, 2024 | | 2024 |
| Why are you reading this? Predicting reading goal and familiarity from people’s mobile interaction behaviors S Nam, Z Bylinskii, C Tensmeyer, R Jain, C Wigington, T Sun Journal of Vision 20 (11), 951-951, 2020 | | 2020 |
