SungJin Nam

According to our database, SungJin Nam authored at least 11 papers between 2014 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

"Why My Essay Received a 4?": A Natural Language Processing Based Argumentative Essay Structure Analysis.

Bokai Yang, Sungjin Nam, Yuchi Huang

Proceedings of the Artificial Intelligence in Education - 24th International Conference, 2023

2022

An Attention-Based Model for Predicting Contextual Informativeness and Curriculum Learning Applications.

SungJin Nam, David Jurgens, Kevyn Collins-Thompson

CoRR, 2022

2020

Using Behavioral Interactions from a Mobile Device to Classify the Reader's Prior Familiarity and Goal Conditions.

SungJin Nam, Zoya Bylinskii, Christopher Tensmeyer, Curtis Wigington, Rajiv Jain, Tong Sun

CoRR, 2020

2019

Integrating Students' Behavioral Signals and Academic Profiles in Early Warning System.

SungJin Nam, Perry Samson

Proceedings of the Artificial Intelligence in Education - 20th International Conference, 2019

2018

Predicting Students' Disengaged Behaviors in an Online Meaning-Generation Task.

SungJin Nam, Gwen A. Frishkoff, Kevyn Collins-Thompson

IEEE Trans. Learn. Technol., 2018

2017

Predicting Short- and Long-Term Vocabulary Learning via Semantic Features of Partial Word Knowledge.

SungJin Nam, Gwen A. Frishkoff, Kevyn Collins-Thompson

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

2016

Improving Early Warning Systems with Categorized Course Resource Usage.

Richard Joseph Waddington, SungJin Nam, Steven Lonn, Stephanie D. Teasley

J. Learn. Anal., December, 2016

Predicting Off-task Behaviors for Adaptive Vocabulary Learning System.

SungJin Nam

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

2014

Practice exams make perfect: incorporating course resource use into an early warning system.

Richard Joseph Waddington, SungJin Nam

Proceedings of the Learning Analytics and Knowledge Conference 2014, 2014

Customized course advising: investigating engineering student success with incoming profiles and patterns of concurrent course enrollment.

SungJin Nam, Steven Lonn, Thomas Brown, Cinda-Sue Davis, Darryl Koch

Proceedings of the Learning Analytics and Knowledge Conference 2014, 2014

Generating highlights automatically from text-reading behaviors on mobile devices.

JongHwan Oh, SungJin Nam, Joonhwan Lee

Proceedings of the CHI Conference on Human Factors in Computing Systems, 2014