Do students really learn an equal amount independent of whether they get an item correct or wrong? - Seth Adjei; Seye Salehizadeh; Yutao Wang; Neil T. Heffernan (EDM, 2013)

Refining Learning Maps with Data Fitting Techniques: Searching for Better Fitting Learning Maps. - Seth Adjei; Douglas Selent; Neil T. Heffernan; Zachary A. Pardos; Angela Broaddus; Neal Kingston (EDM, 2014)

Improving Retention Performance Prediction with Prerequisite Skill Features. - Xiaolu Xiong; Seth Adjei; Neil T. Heffernan (EDM, 2014)

Improving Learning Maps Using an Adaptive Testing System: PLACEments. - Seth Akonor Adjei; Neil T. Heffernan (AIED, 2015)

Predicting Student Aptitude Using Performance History. - Anthony F. Botelho; Seth Akonor Adjei; Hao Wan 002; Neil T. Heffernan (EDM, 2015)

Building Models to Predict Hint-or-Attempt Actions of Students. - Francisco Enrique Vicente Castro; Seth Adjei; Tyler Colombo; Neil T. Heffernan (EDM, 2015)

Using Partial Credit and Response History to Model User Knowledge. - Eric Van Inwegen; Seth Adjei; Yan Wang 005; Neil T. Heffernan (EDM, 2015)

The Effect of the Distribution of Predictions of User Models. - Eric Van Inwegen; Yan Wang 005; Seth Adjei; Neil T. Heffernan (EDM, 2015)

An analysis of the impact of action order on future performance: the fine-grain action model. - Eric Van Inwegen; Seth Adjei; Yan Wang 005; Neil T. Heffernan (LAK, 2015)

Improving Student Modeling Through Partial Credit and Problem Difficulty. - Korinn Ostrow; Christopher Donnelly; Seth Adjei; Neil T. Heffernan (L@S, 2015)

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 (EDM, 2016)

Predicting student performance on post-requisite skills using prerequisite skill data: an alternative method for refining prerequisite skill structures. - Seth Akonor Adjei; Anthony F. Botelho; Neil T. Heffernan (LAK, 2016)

The Opportunity Count Model: A Flexible Approach to Modeling Student Performance. - Yan Wang 005; Korinn Ostrow; Seth Adjei; Neil T. Heffernan (L@S, 2016)

Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization. - Seth Adjei; Korinn Ostrow; Erik Erickson; Neil T. Heffernan (EDM, 2017)

Sequencing content in an adaptive testing system: the role of choice. - Seth Akonor Adjei; Anthony F. Botelho; Neil T. Heffernan (LAK, 2017)

Developing Early Detectors of Student Attrition and Wheel Spinning Using Deep Learning. - Anthony F. Botelho; Ashvini Varatharaj; Thanaporn Patikorn; Diana Doherty; Seth Akonor Adjei; Joseph E. Beck (IEEE Trans. Learn. Technol., 2019)

Can Computer-Based Learning Environments Mitigate Large Class Size? - Ryan S. Baker 001; Aishah Al Yammahi; Joe el Sebaaly; Ali Nadaf; Tina Kapp; Seth Adjei (ICCE, 2020)

Seven-Year Longitudinal Implications of Wheel Spinning and Productive Persistence. - Seth Akonor Adjei; Ryan S. Baker 001; Vedant Bahel (AIED (1), 2021)

Transferring an existing gaming detection model to different system using semi-supervised approach. - Vedant Bahel; Seth Akonor Adjei; Ryan S. Baker 001 (EDM (Workshops), 2021)

Exploring Relationships Between Temporal Patterns of Affect and Student Learning. - Anthony Botelho; Seth Adjei; Vedant Bahel; Ryan Baker 001 (ICCE, 2022)

Creating Instructional Elementary Programming Videos for Use in an Adaptive Testing and Remediation System. - Abigail Jones; Manogya Aryal; Justin Selby; Seth Adjei (SIGCSE (2), 2024)

COVID Infodemic Advisor (CIA): An Online Recommender For Content Consumers & Providers. - Chase Maschinot; Ankur Chattopadhyay; Seth Adjei (ISDFS, 2025)