Gregory Aist

How to Classify Tutorial Dialogue? Comparing Feature Vectors vs. Sequences.

Using Dirichlet Priors to Improve Model Parameter Plausibility.

Learning Classifiers From a Relational Database of Tutor Logs

Comparison of Methods to Trace Multiple Subskills: Is LR-DBN Best?.

Using Logistic Regression to Trace Multiple Sub-skills in a Dynamic Bayes Net.

Desperately Seeking Subscripts: Towards automated model parameterization

Natural Language Processing and User Modeling: Synergies and Limitations

Educational data mining and learning analytics for 21st century higher education: A review and synthesis

Data mining in course management systems: Moodle case study and tutorial

International Handbook of Information Technology in Primary and Secondary Education

A Study of web-based oral activities enhanced by Automatic Speech Recognition for EFL college learning

Recent Developments in Technology and Language Learning

Review of Studies on Technology-Enhanced Language Learning and Teaching

Adaptive Hypermedia

Drawing to Learn in Science

Some useful tactics to modify, map and mine data from intelligent tutors

Educational data mining: A survey and a data mining-based analysis of recent works

Educational Data Mining: A Review of the State of the Art

Advances in Intelligent Tutoring Systems

Data mining in education

Technologies for foreign language learning: a review of technology types and their effectiveness

Evolutionary Trajectories, Internet-mediated Expression, and Language Education

Using Linguistic Cues for the Automatic Recognition of Personality in Conversation and Text

Evaluation of an Automated Reading Tutor That Listens: Comparison to Human Tutoring and Classroom Instruction

Evaluating tutors that listen: an overview of project LISTEN

Authoring new material in a reading tutor that listens

Helping Children Learn Vocabulary during Computer-Assisted Oral Reading

The sounds of silence: towards automated evaluation of student learning in a reading tutor that listens

Giving Help and Praise in a Reading Tutor with Imperfect Listening—Because Automated Speech Recognition Means Never Being Able to Say You're Certain