Seth Adjei

According to our database, Seth Adjei authored at least 19 papers between 2013 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of three.

2024

Creating Instructional Elementary Programming Videos for Use in an Adaptive Testing and Remediation System.

Abigail Jones, Manogya Aryal, Justin Selby, Seth Adjei

Proceedings of the 55th ACM Technical Symposium on Computer Science Education, 2024

2021

Transferring an existing gaming detection model to different system using semi-supervised approach.

Vedant Bahel, Seth Akonor Adjei, Ryan S. Baker

Proceedings of the Joint Proceedings of the Workshops at the International Conference on Educational Data Mining 2021 co-located with 14th International Conference on Educational Data Mining (EDM 2021), 2021

Seven-Year Longitudinal Implications of Wheel Spinning and Productive Persistence.

Seth Akonor Adjei, Ryan S. Baker, Vedant Bahel

Proceedings of the Artificial Intelligence in Education - 22nd International Conference, 2021

2019

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

2017

Sequencing content in an adaptive testing system: the role of choice.

Seth Akonor Adjei, Anthony F. Botelho, Neil T. Heffernan

Proceedings of the Seventh International Learning Analytics & Knowledge Conference, 2017

Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization.

Seth Adjei, Korinn Ostrow, Erik Erickson, Neil T. Heffernan

Proceedings of the 10th International Conference on Educational Data Mining, 2017

2016

The Opportunity Count Model: A Flexible Approach to Modeling Student Performance.

Yan Wang, Korinn Ostrow, Seth Adjei, Neil T. Heffernan

Proceedings of the Third ACM Conference on Learning @ Scale, 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

Proceedings of the Sixth International Conference on Learning Analytics & Knowledge, 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

Proceedings of the 9th International Conference on Educational Data Mining, 2016

2015

Improving Student Modeling Through Partial Credit and Problem Difficulty.

Korinn Ostrow, Christopher Donnelly, Seth Adjei, Neil T. Heffernan

Proceedings of the Second ACM Conference on Learning @ Scale, 2015

An analysis of the impact of action order on future performance: the fine-grain action model.

Eric Van Inwegen, Seth Adjei, Yan Wang, Neil T. Heffernan

Proceedings of the Fifth International Conference on Learning Analytics And Knowledge, 2015

The Effect of the Distribution of Predictions of User Models.

Eric Van Inwegen, Yan Wang, Seth Adjei, Neil T. Heffernan

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Using Partial Credit and Response History to Model User Knowledge.

Eric Van Inwegen, Seth Adjei, Yan Wang, Neil T. Heffernan

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Building Models to Predict Hint-or-Attempt Actions of Students.

Francisco Enrique Vicente Castro, Seth Adjei, Tyler Colombo, Neil T. Heffernan

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Predicting Student Aptitude Using Performance History.

Anthony F. Botelho, Seth Akonor Adjei, Hao Wan, Neil T. Heffernan

Proceedings of the 8th International Conference on Educational Data Mining, 2015

Improving Learning Maps Using an Adaptive Testing System: PLACEments.

Seth Akonor Adjei, Neil T. Heffernan

Proceedings of the Artificial Intelligence in Education - 17th International Conference, 2015

2014

Improving Retention Performance Prediction with Prerequisite Skill Features.

Xiaolu Xiong, Seth Adjei, Neil T. Heffernan

Proceedings of the 7th International Conference on Educational Data Mining, 2014

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

Proceedings of the 7th International Conference on Educational Data Mining, 2014

2013

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

Proceedings of the 6th International Conference on Educational Data Mining, 2013