以下论文大部分与个性化导学相关
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(评分)
AAAI-18 Exercise-Enhanced Sequential Modeling for Student Performance Prediction Enhong Chen
AAAI-19 Knowledge Tracing Machines Factorization Machines for Knowledge Tracing
AAAI-19 Zero Shot Learning for Code Education Rubric Sampling
ICDE-17 Ontology-based Approach for Academic Evaluation System
ICDE-17 Automated Personalized Feedback in Introductory Java Programming MOOCs
KDD-16 Unbounded Human Learning: Optimal Scheduling for Spaced Repetition
KDD-17 Constructivism Learning: A Learning Paradigm for Transparent Predictive Analytics
KDD-18 Unlearn What You Have Learned: Adaptive Crowd Teaching with Exponentially Decayed Memory Learners
KDD-18 Finding Similar Exercises in Online Education Systems Qi Liu
KDD-18 Exploring Student Check-In Behavior for Improved Point-of-Interest Prediction
KDD-19 Exploiting Cognitive Structure for Adaptive Learning
KDD-19 MCNE: An End-to-End Framework for Learning Multiple Conditional Network Representations of Social Network
KDD-19 QuesNet: A Unified Representation for Heterogeneous Test Questions
KDD-19 Predicting Dynamic Embedding Trajectory in Temporal Interaction Networks
CIKM-17 Tracking Knowledge Proficiency of Students with Educational Priors Yuying Chen Enhong Chen
CIKM-18 Creating Scoring Rubric from Representative Student Answers for Improved Short Answer Grading
CIKM-18 Contrasting Search as a Learning Activity with Instructor-designed Learning
VLDB-18 Relating educational materials via extraction of their topics
IJCAI-15 Cognitive modelling for predicting examinee performance
IJCAI-18 Master-Slave Curriculum Design for Reinforcement Learning
IJCAI-18 Modeling Attributes Affecting Argument Persuasiveness in Student Essays with Deep Learning Inference
IJCAI-18 Attributed Description Logics Reasoning on Knowledge Graphs
NIPS-15 Deep Knowledge Tracing
ICDM-18 Prerequisite-Driven Deep Knowledge Tracing
EAAI-18 Investigating Active Learning for Concept Prerequisite Learning Chen Liang
EAAI-17 Recovering Concept Prerequisite Relations from University Course Dependencies Chen Liang
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-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
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
AIED-18 Classifying Educational Questions Based on the Expected Characteristics of Answers
AIED-17 Minimal Meaningful Propositions Alignment in Student Response Comparisons
EDM-16 How Deep is Knowledge Tracing
EDM-18 Data-Driven Approach Towards a Personalized Curriculum Michael Backenköhler
EDM-16 How Deep is Knowledge Tracing?
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
DASFAA-18 MT-MCD: A Multi-task Cognitive Diagnosis Framework for Student Assessment
国际教学研究会议与期刊目录