activity
20212023
most citedpyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models

30 citations · 58 across the 7 of their papers we have counts for

collaborators

7 papers

cs.LG2023★ 2 cited

Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations

Jiahao Chen, Zitao Liu, Shuyan Huang +2

Knowledge tracing (KT) is a crucial technique to predict students' future performance by observing their historical learning processes. Due to the powerful representation ability o…

cs.LG2023★ 26 cited

simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing

Zitao Liu, Qiongqiong Liu, Jiahao Chen +2

Knowledge tracing (KT) is the problem of predicting students' future performance based on their historical interactions with intelligent tutoring systems. Recently, many works pres…

cs.CY2023

Enhancing Deep Knowledge Tracing with Auxiliary Tasks

Zitao Liu, Qiongqiong Liu, Jiahao Chen +4

Knowledge tracing (KT) is the problem of predicting students' future performance based on their historical interactions with intelligent tutoring systems. Recent studies have appli…

cs.IR2022

A Design of A Simple Yet Effective Exercise Recommendation System in K-12 Online Learning

Shuyan Huang, Qiongqiong Liu, Jiahao Chen +3

We propose a simple but effective method to recommend exercises with high quality and diversity for students. Our method is made up of three key components: (1) candidate generatio…

cs.CL2022

SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners

Qiongqiong Liu, Yaying Huang, Zitao Liu +6

Sentence completion (SC) questions present a sentence with one or more blanks that need to be filled in, three to five possible words or phrases as options. SC questions are widely…

cs.LG2022★ 30 cited

pyKT: A Python Library to Benchmark Deep Learning based Knowledge Tracing Models

Zitao Liu, Qiongqiong Liu, Jiahao Chen +3

Knowledge tracing (KT) is the task of using students' historical learning interaction data to model their knowledge mastery over time so as to make predictions on their future inte…

cs.CL2021

Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models

Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao +6

Sentence completion (SC) questions present a sentence with one or more blanks that need to be filled in, three to five possible words or phrases as options. SC questions are widely…