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Journal Articles
- 2019
[j1]Anthony F. Botelho
, Ashvini Varatharaj, Thanaporn Patikorn, Diana Doherty, Seth Akonor Adjei, Joseph E. Beck:
Developing Early Detectors of Student Attrition and Wheel Spinning Using Deep Learning. IEEE Trans. Learn. Technol. 12(2): 158-170 (2019)
Conference and Workshop Papers
- 2024
- [c18]Abigail Jones, Manogya Aryal, Justin Selby, Seth Adjei:
Creating Instructional Elementary Programming Videos for Use in an Adaptive Testing and Remediation System. SIGCSE (2) 2024: 1882 - 2021
- [c17]Seth Akonor Adjei, Ryan S. Baker, Vedant Bahel:
Seven-Year Longitudinal Implications of Wheel Spinning and Productive Persistence. AIED (1) 2021: 16-28 - [c16]Vedant Bahel, Seth Akonor Adjei, Ryan S. Baker:
Transferring an existing gaming detection model to different system using semi-supervised approach. EDM (Workshops) 2021 - 2017
- [c15]Seth Adjei, Korinn Ostrow, Erik Erickson, Neil T. Heffernan:
Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization. EDM 2017 - [c14]Seth Akonor Adjei, Anthony F. Botelho, Neil T. Heffernan:
Sequencing content in an adaptive testing system: the role of choice. LAK 2017: 178-182 - 2016
- [c13]Anthony F. Botelho, Seth Adjei, Neil T. Heffernan:
Modeling Interactions Across Skills: A Method to Construct and Compare Models Predicting the Existence of Skill Relationships. EDM 2016: 292-297 - [c12]Seth Akonor Adjei, Anthony F. Botelho, Neil T. Heffernan:
Predicting student performance on post-requisite skills using prerequisite skill data: an alternative method for refining prerequisite skill structures. LAK 2016: 469-473 - [c11]Yan Wang, Korinn Ostrow, Seth Adjei, Neil T. Heffernan:
The Opportunity Count Model: A Flexible Approach to Modeling Student Performance. L@S 2016: 113-116 - 2015
- [c10]Seth Akonor Adjei, Neil T. Heffernan:
Improving Learning Maps Using an Adaptive Testing System: PLACEments. AIED 2015: 517-520 - [c9]Eric Van Inwegen, Seth Adjei, Yan Wang, Neil T. Heffernan:
Using Partial Credit and Response History to Model User Knowledge. EDM 2015: 313-319 - [c8]Francisco Enrique Vicente Castro, Seth Adjei, Tyler Colombo, Neil T. Heffernan:
Building Models to Predict Hint-or-Attempt Actions of Students. EDM 2015: 476-479 - [c7]Eric Van Inwegen, Yan Wang, Seth Adjei, Neil T. Heffernan:
The Effect of the Distribution of Predictions of User Models. EDM 2015: 620-621 - [c6]Anthony F. Botelho, Seth Akonor Adjei, Hao Wan, Neil T. Heffernan:
Predicting Student Aptitude Using Performance History. EDM 2015: 622-623 - [c5]Eric Van Inwegen, Seth Adjei, Yan Wang, Neil T. Heffernan:
An analysis of the impact of action order on future performance: the fine-grain action model. LAK 2015: 320-324 - [c4]Korinn Ostrow, Christopher Donnelly, Seth Adjei, Neil T. Heffernan:
Improving Student Modeling Through Partial Credit and Problem Difficulty. L@S 2015: 11-20 - 2014
- [c3]Xiaolu Xiong, Seth Adjei, Neil T. Heffernan:
Improving Retention Performance Prediction with Prerequisite Skill Features. EDM 2014: 375-376 - [c2]Seth Adjei, Douglas Selent, Neil T. Heffernan, Zachary A. Pardos, Angela Broaddus, Neal Kingston:
Refining Learning Maps with Data Fitting Techniques: Searching for Better Fitting Learning Maps. EDM 2014: 413-414 - 2013
- [c1]Seth Adjei, Seye Salehizadeh, Yutao Wang, Neil T. Heffernan:
Do students really learn an equal amount independent of whether they get an item correct or wrong? EDM 2013: 304-305
Coauthor Index
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