毕业论文题目：基于关联规则和深度学习的个性化导学系统的研究与实现
注：以下论文大部分与本毕设相关
1. 数据挖掘会议
AAAI
AAAI-17 Question difficulty prediction for reading problems in standard tests.
AAAI-18 Medical Exam Question Answering with Large-Scale Reading Comprehension Xiao Zhang（清华）
AAAI-18 Proposition Entailment in Educational Applications Using Deep Neural Networks Florin Bulgarov
AAAI-18 Exercise-Enhanced Sequential Modeling for Student Performance Prediction Enhong Chen
EAAI-18 Investigating Active Learning for Concept Prerequisite Learning Chen Liang
EAAI-17 Recovering Concept Prerequisite Relations from University Course Dependencies Chen Liang
ICDE
KDD
KDD-18 Finding Similar Exercises in Online Education Systems Qi Liu
CIKM
CIKM-17 Tracking Knowledge Proficiency of Students with Educational Priors Yuying Chen Enhong Chen
VLDB
VLDB-18 Relating educational materials via extraction of their topics
SIGMOD
IJCAI
IJCAI-15 Cognitive modelling for predicting examinee performance
NIPS
NIPS-15 Deep Knowledge Tracing
2. 教育类会议
SIGCSE
ICER
L@S
L@S-16 Structured Knowledge Tracing Models for Student Assessment on Coursera Zhuo Wang（北大）
L@S-18 Addressing two problems in deep knowledge tracing via prediction-consistent regularization
L@S-17 Deep Knowledge Tracing On Programming Exercises.
L@S-17 Incorporating Rich Features into Deep Knowledge Tracing
L@S-16 Structured Knowledge Tracing Models for Student Assessment on Coursera
L@S-15 Toward the Evaluation of Educational Videos using Bayesian Knowledge Tracing and Big Data
WWW
WWW-17 Dynamic Key-Value Memory Networks for Knowledge Tracing
www-17 Knowledge or Gaming?: Cognitive Modelling Based on Multiple-Attempt Response
www-17 Dynamic Key-Value Memory Networks for Knowledge Tracing
SIGITE
AIED
AIED-18 Sequence Based Course Recommender for Personalized Curriculum Planning
AIED-18 Validating Revised Bloom’s Taxonomy Using Deep Knowledge Tracing
AIED-18 Deep Knowledge Tracing for Free-Form Student Code Progression
EDM
EDM-18 Data-Driven Approach Towards a Personalized Curriculum Michael Backenköhler
其他
IEEE-18 KnowEdu: A System to ConstructKnowledge Graph for Education
Knowledge-Based Systems-18 A three learning states Bayesian knowledge tracing model
LAK-16 Sequencing Educational Content in Classrooms using Bayesian Knowledge Tracing Yossi Ben David
WSDM-15 Concept Graph Learning from Educational Data