Michel C. Desmarais, Collin F. Lynch, Agathe Merceron, Roger Nkambou
Proceedings of the 12th International Conference on Educational Data Mining
EDM, 2019.
Contents (133 items)
- EDM-2019-AbdiKSG #adaptation #education #multi
- A Multivariate ELO-based Learner Model for Adaptive Educational Systems (SA, HK, SWS, DG).
- EDM-2019-AguerrebereBCGK #education #feedback #how #online #question #student
- How Should Online Teachers of English as a Foreign Language (EFL) Write Feedback to Students? (CA, MB, CC, SG, GK, JW).
- EDM-2019-AiCGZWFW #concept #learning #online #recommendation
- Concept-Aware Deep Knowledge Tracing and Exercise Recommendation in an Online Learning System (FA, YC, YG, YZ, ZW, GF, GW).
- EDM-2019-AlexandronVP #detection #identification #online #towards
- Towards a General Purpose Anomaly Detection Method to Identify Cheaters in Massive Open Online Courses (GA, JARV, DEP).
- EDM-2019-AndersonBB #predict
- Assessing the Fairness of Graduation Predictions (HA, AB, RSB).
- EDM-2019-Andres-BrayOB #online
- Hello? Who is posting, who is answering, and who is succeeding in Massive Open Online Courses (JMLAB, JLO, RSB).
- EDM-2019-AngertS #multimodal #natural language
- Augmenting Transcripts with Natural Language Processing and Multimodal Data (TA, BS).
- EDM-2019-ArthursSKP #modelling #using
- Grades are not Normal: Improving Exam Score Models Using the Logit-Normal Distribution (NA, BS, SK, CP).
- EDM-2019-AskinadzeC #education #predict #student
- Predicting Student Dropout in Higher Education Based on Previous Exam Results (AA, SC0).
- EDM-2019-AulckNVBW #mining #predict
- Mining University Registrar Records to Predict First-Year Undergraduate Attrition (LSA, DN, NV, JB, JW).
- EDM-2019-AusinABC #induction #learning #policy
- Leveraging Deep Reinforcement Learning for Pedagogical Policy Induction in an Intelligent Tutoring System (MSA, HA, TB, MC).
- EDM-2019-BahargamLT #algorithm #clustering #complexity #problem
- The Guided Team-Partitioning Problem: Definition, Complexity, and Algorithm (SB, TL, ET).
- EDM-2019-BanjadeR #logic #probability #student #tutorial #using
- Assessing Student Response in Tutorial Dialogue Context using Probabilistic Soft Logic (RB, VR).
- EDM-2019-BotelhoBH #behaviour #detection #re-engineering #student
- Machine-Learned or Expert-Engineered Features? Exploring Feature Engineering Methods in Detectors of Student Behavior and Affect (AFB, RSB, NTH).
- EDM-2019-BoulangerK #automation #process
- Shedding Light on the Automated Essay Scoring Process (DB, VK).
- EDM-2019-BoumiV #markov #modelling #performance #student
- Application of Hidden Markov Models to quantify the impact of enrollment patterns on student performance (SB, AV).
- EDM-2019-BroisinH #automation #design #evaluation #learning #programming #semantics
- Design and evaluation of a semantic indicator for automatically supporting programming learning (JB, CH).
- EDM-2019-CaoPB #analysis #learning #performance
- Incorporating Prior Practice Difficulty into Performance Factor Analysis to Model Mandarin Tone Learning (MC, PIPJ, GMB).
- EDM-2019-ChenGD #multi #problem
- Parent as a Companion for Solving Challenging Math Problems: Insights from Multi-modal Observational Data (LC, EG, AD).
- EDM-2019-ChenLFG #online #predict #scalability #student #tutorial
- Predictors of Student Satisfaction: A Large-scale Study of Human-Human Online Tutorial Dialogues (GC, DL, RF, DG).
- EDM-2019-ChoffinPBV #distributed #learning #modelling #named #scheduling #student
- DAS3H: Modeling Student Learning and Forgetting for Optimally Scheduling Distributed Practice of Skills (BC, FP, YB, JJV).
- EDM-2019-ChopraKMG #difference #gender #learning
- Gender Differences in Work-Integrated Learning Assessments (SC, AK, MM, LG).
- EDM-2019-ChristieJOT #scalability
- Machine-Learned School Dropout Early Warning at Scale (STC, DCJ, LAO, TTT).
- EDM-2019-ColemanBS #predict #strict #student
- A Better Cold-Start for Early Prediction of Student At-Risk Status in New School Districts (CC, RSB, SS).
- EDM-2019-DangK #game studies
- Exploring the Link Between Motivations and Gaming (SD, KK).
- EDM-2019-DavisRF #difference #learning #student
- Individual Differences in Student Learning Aid Usage (AKD, YJR, DF).
- EDM-2019-DavisWY #education #graph #n-gram #topic
- N-gram Graphs for Topic Extraction in Educational Forums (GMD, CW, CY).
- EDM-2019-DicklerLG #approach #assessment #automation #data-driven
- A Data-Driven Approach for Automated Assessment of Scientific Explanations in Science Inquiry (RD, HL, JDG).
- EDM-2019-DingL #why
- Why Deep Knowledge Tracing has less Depth than Anticipated (XD, ECL).
- EDM-2019-DoanS #performance #predict #student
- Rank-Based Tensor Factorization for Student Performance Prediction (TND, SS).
- EDM-2019-DongYP #deployment #design #keyword
- Design and Deployment of a Better University Course Search: Inferring Latent Keywords from Enrollments (MD, RY, ZAP).
- EDM-2019-EmersonSSRMWMBL #modelling #predict #programming #student
- Predicting Early and Often: Predictive Student Modeling for Block-Based Programming Environments (AE, AS, CS, FJR, WM, ENW, BWM, KEB, JCL).
- EDM-2019-EmondV #3d #learning #performance #predict #visualisation
- Visualizing Learning Performance Data and Model Predictions as Objects in a 3D Space (BE, JJV).
- EDM-2019-FlemmingSMCS #evaluation #game studies #performance
- A generalizable performance evaluation model of driving games via risk-weighted trajectories (RF, ES, DM, PCL, PS).
- EDM-2019-Furr #clustering #interactive #learning #online #visualisation
- Visualization and clustering of learner pathways in an interactive online learning environment (DF).
- EDM-2019-GagnonLBD #learning
- Filtering non-relevant short answers in peer learning applications (VG, AL, SB, MCD).
- EDM-2019-GardnerYBB #design #modelling #perspective #predict #replication
- Modeling and Experimental Design for MOOC Dropout Prediction: A Replication Perspective (JG, YY, RSB, CB).
- EDM-2019-GitinabardBHL #analysis #online #platform #sequence #student #what
- What will you do next? A sequence analysis on the student transitions between online platforms in blended courses (NG, TB, SH, CFL).
- EDM-2019-GruverMCPSP #modelling #using
- Using Latent Variable Models to Observe Academic Pathways (NG, AM, BC, CP, MLS, AP).
- EDM-2019-GuoB #analysis #collaboration #detection #using
- Collaboration Analysis Using Object Detection (ZG, RB).
- EDM-2019-GuthrieC #behaviour #learning #online #quality #student
- Adding duration-based quality labels to learning events for improved description of students' online learning behavior (MWG, ZC).
- EDM-2019-HansenHAL #education #modelling
- Modelling End-of-Session Actions in Educational Systems (CH0, CH, SA, CL).
- EDM-2019-HanWJZZ #framework #human-computer #hybrid
- A Human-Machine Hybrid Peer Grading Framework for SPOCs (YH, WW0, SJ, LZ, HZ0).
- EDM-2019-HarmonW #education #learning #online
- Measuring Item Teaching Value in an Online Learning Environment (JH, RW).
- EDM-2019-HarrakBL #approach #categorisation #hybrid #student #using
- Categorizing students' questions using an ensemble hybrid approach (FH, FB, VL).
- EDM-2019-HarrakBLB #automation #identification #learning #self
- Automatic identification of questions in MOOC forums and association with self-regulated learning (FH, FB, VL, RB).
- EDM-2019-HicksCL #analysis #process #student #using
- Students' Use of Support Functions in DBAs: Analysis of NAEP Grade 8 Mathematics Process Data (JH, RC, M(L).
- EDM-2019-HowlinD #approach #behaviour #clustering #detection #fuzzy #student #using
- Detecting Outlier Behaviors in Student Progress Trajectories Using a Repeated Fuzzy Clustering Approach (CPH, CDD).
- EDM-2019-HuangBS #collaboration #identification #machine learning #using
- Identifying Collaborative Learning States Using Unsupervised Machine Learning on Eye-Tracking, Physiological and Motion Sensor Data (KH, TB, BS).
- EDM-2019-HuR #estimation #graph #network #performance
- Academic Performance Estimation with Attention-based Graph Convolutional Networks (QH, HR).
- EDM-2019-HuttGDD #modelling #predict
- Evaluating Fairness and Generalizability in Models Predicting On-Time Graduation from College Applications (SH, MG, ALD, SKD).
- EDM-2019-Ikeda #analysis #education #learning #quality #using
- Learning Feature Analysis for Quality Improvement of Web-Based Teaching Materials Using Mouse Cursor Tracking (MI).
- EDM-2019-JacobsenS #exclamation #recommendation #student
- It's a Match! Reciprocal Recommender System for Graduating Students and Jobs (AJ, GS).
- EDM-2019-JayaramanGG #identification #machine learning #student #using
- Supporting Minority Student Success by using Machine Learning to Identify At-Risk Students (JDJ, SG, JG).
- EDM-2019-JensenHD #dataset #detection #modelling #student
- Generalizability of Sensor-Free Affect Detection Models in a Longitudinal Dataset of Tens of Thousands of Students (EJ, SH, SKD).
- EDM-2019-JeonSBLR #online #process #student #using
- Time-series Insights into the Process of Passing or Failing Online University Courses using Neural-Induced Interpretable Student States (BJ, ES, LB, JL, CPR).
- EDM-2019-JiangIDLW #learning #student
- Measuring students' thermal comfort and its impact on learning (HJ, MI, SVD, SL, JW).
- EDM-2019-JiangP #learning
- Binary Q-matrix Learning with dAFM (NJ, ZAP).
- EDM-2019-JoYKL #analysis #comparative #education #effectiveness #learning #online #word
- A Comparative Analysis of Emotional Words for Learning Effectiveness in Online Education (JJ, YY, GK, HL).
- EDM-2019-JuZABC #identification #learning
- Identifying Critical Pedagogical Decisions through Adversarial Deep Reinforcement Learning (SJ, GZ, HA, TB, MC).
- EDM-2019-KangAYL #collaboration #game studies #problem #process #similarity
- Collaborative Problem-Solving Process in A Science Serious Game: Exploring Group Action Similarity Trajectory (JK, DA, LY, ML0).
- EDM-2019-KarumbaiahOB #behaviour #metric #performance #student
- The Influence of School Demographics on the Relationship Between Students' Help-Seeking Behavior and Performance and Motivational Measures (SK, JO, RSB).
- EDM-2019-KaserS #classification #interactive #modelling #network #student
- Exploring Neural Network Models for the Classification of Students in Highly Interactive Environments (TK, DLS).
- EDM-2019-KhayiR #clustering #information management #student
- Clustering Students Based on Their Prior Knowledge (NAK, VR).
- EDM-2019-KolbFP #concept
- Generalizing Expert Misconception Diagnoses Through Common Wrong Answer Embedding (JK, SF, ZAP).
- EDM-2019-KraussMA #learning #modelling #recommendation
- Smart Learning Object Recommendations based on Time-Dependent Learning Need Models (CK, AM, SA).
- EDM-2019-LevyHTESGCT #algorithm #education #empirical
- Teacher vs. Algorithm: Double-blind experiment of content sequencing in mathematics (BL, AH, OT, OE, AS, KG, AC, MT).
- EDM-2019-LiangYZPG #case study #concept #learning #partial order #strict
- Active Learning of Strict Partial Orders: A Case Study on Concept Prerequisite Relations (CL0, JY, HZ0, BP, CLG).
- EDM-2019-LorenzenHA #development
- Investigating Writing Style Development in High School (SL, NH, SA).
- EDM-2019-Ma #design #recommendation
- Design of an Elective Course Recommendation System for University Environment (BM).
- EDM-2019-MalekianBKBN #analysis #process #student #using
- Characterising Students' Writing Processes Using Temporal Keystroke Analysis (DM, JB0, GEK, PGdB, SN).
- EDM-2019-MandalapuG #predict #student
- Studying Factors Influencing the Prediction of Student STEM and Non-STEM Career Choice (VM, JG).
- EDM-2019-MaoZKPBC #predict #programming #student
- One minute is enough: Early Prediction of Student Success and Event-level Difficulty during Novice Programming Tasks (YM, RZ, FK, TWP, TB, MC).
- EDM-2019-MbouzaoDS #analysis #classification #interactive #student #video
- A Methodology for Student Video Interaction Patterns Analysis and Classification (BM, MCD, IS).
- EDM-2019-MooreCEZRB #approach #component #multi #student
- Skills Embeddings: A Neural Approach to Multicomponent Representations of Students and Tasks (RM, AC, ME, AHZ, AR, PB).
- EDM-2019-MorsommeA #education #recommendation
- Content-based Course Recommender System for Liberal Arts Education (RM, SVA).
- EDM-2019-MorsyK #knowledge-based #predict
- Neural Attentive Knowledge-based Model for Grade Prediction (SM, GK).
- EDM-2019-MussackFSC #behaviour #learning #problem #similarity #towards
- Towards discovering problem similarity through deep learning: combining problem features and user behavior (DM, RF, PS, PCL).
- EDM-2019-NandaD #categorisation #machine learning
- Machine Learning Based Decision Support System for Categorizing MOOC Discussion Forum Posts (GN, KAD).
- EDM-2019-NazaretskyHA #clustering #education #learning
- Kappa Learning: A New Item-Similarity Method for Clustering Educational Items from Response Data (TN, SH, GA).
- EDM-2019-NguyenSM #modelling #problem #student #towards
- Towards Modeling Students' Problem-solving Skills in Non-routine Mathematics Problems (HN, JCS, BMM).
- EDM-2019-NguyenWSM #component #comprehension #game studies #learning #modelling #using
- Using Knowledge Component Modeling to Increase Domain Understanding in a Digital Learning Game (HN, YW, JCS, BMM).
- EDM-2019-OliveiraM #bias #identification #performance #student
- Identifying bias and underlying knowledge structures in Brazilian National Exam of Students Performance (MSO, CEM).
- EDM-2019-OuHSBMM #development #modelling
- Modeling person-specific development of math skills in continuous time: New evidence for mutualism (LO, ADH, VRS, TB, GKJM, HLJvdM).
- EDM-2019-OwenRTBJKB #detection #education #effectiveness #game studies #persistent
- Detecting Wheel Spinning and Productive Persistence in Educational Games (VEO, MHR, KPT, VB, DJ, EK, RSB).
- EDM-2019-PandeyK
- A Self Attentive model for Knowledge Tracing (SP, GK).
- EDM-2019-PigeauAP #case study #predict
- Success prediction in MOOCs: A case study (AP, OA, YP).
- EDM-2019-PolyzouNK #framework #markov #recommendation
- Scholars Walk: A Markov Chain Framework for Course Recommendation (AP, ANN, GK).
- EDM-2019-PraseedaSR #validation
- Validating the Myth of Average through Evidences (P, SS, PR).
- EDM-2019-PuWJ #automation #education #framework #student
- ATC Framework: A fully Automatic Cognitive Tracing Model for Student and Educational Contents (YP, WW0, TJ).
- EDM-2019-RabornLM #automation #comparison
- A Comparison of Automated Scale Short Form Selection Strategies (AWR, WLL, KMM).
- EDM-2019-RamirezYCRS #learning #student #towards #using
- Toward Instrumenting Makerspaces: Using Motion Sensors to Capture Students' Affective States in Open-Ended Learning Environments (LR, WY, EC, IR, BS).
- EDM-2019-Reddick #algorithm #learning #using
- Using a Glicko-based Algorithm to Measure In-Course Learning (RR).
- EDM-2019-ReillyD #assessment #learning
- Exploring Stealth Assessment via Deep Learning in an Open-Ended Virtual Environment (JMR, CD).
- EDM-2019-ReillyS #analysis #collaboration #predict #problem #quality
- Predicting the Quality of Collaborative Problem Solving Through Linguistic Analysis of Discourse (JMR, BS).
- EDM-2019-RenNLR #cumulative #predict
- Grade Prediction Based on Cumulative Knowledge and Co-taken Courses (ZR, XN, ASL, HR).
- EDM-2019-ShaikhMWR #personalisation #student
- Balancing Student Success and Inferring Personalized Effects in Dynamic Experiments (HS, AM, JJW, ANR).
- EDM-2019-Sher #learning #mobile #using
- Anatomy of mobile learners: Using learning analytics to unveil learning in presence of mobile devices (VS).
- EDM-2019-SherHG #learning #mobile #power of #predict #student
- Investigating effects of considering mobile and desktop learning data on predictive power of learning management system (LMS) features on student success (VS, MH, DG).
- EDM-2019-ShilloHG #detection #geometry
- Detecting Creativity in an Open Ended Geometry Environment (RS, NH, KG).
- EDM-2019-ShimadaMTOTK #learning #optimisation #process #student
- Optimizing Assignment of Students to Courses based on Learning Activity Analytics (AS, KM, YT, HO, RiT, SK).
- EDM-2019-SinclairMLLG #corpus
- Tutorbot Corpus: Evidence of Human-Agent Verbal Alignment in Second Language Learner Dialogues (AS, KM, CGL, AL, DG).
- EDM-2019-SmeetsBB #detection #education
- Affect detection in home-based educational software for young children (RS, FLB, EB).
- EDM-2019-StoneDDCKGD #modelling
- Utterance-level Modeling of Indicators of Engaging Classroom Discourse (CS, PJD, MD, SC, SK, AG, SKD).
- EDM-2019-SunahaseBK #assessment #modelling #probability
- Probabilistic Modeling of Peer Correction and Peer Assessment (TS, YB, HK).
- EDM-2019-SyedCAAC
- Implicit and Explicit Emotions in MOOCs (MS, MC, SA, GAA, NVC).
- EDM-2019-TaniguchiSK #c #fault #process #programming
- Investigating Error Resolution Processes in C Programming Exercise Courses (YT, AS, SK).
- EDM-2019-TatoND #hybrid #network #predict #reasoning
- Hybrid Deep Neural Networks to Predict Socio-Moral Reasoning Skills (AANT, RN, AD).
- EDM-2019-TodaOSBIC #case study #gamification
- Planning Gamification Strategies based on User Characteristics and DM: A Gender-based Case Study (AMT, WO, LS0, IIB, SI, AIC).
- EDM-2019-Unal #composition #modelling #performance #student #using
- Modeling Student Performance and Disengagement Using Decomposition of Response Time Data (DSU).
- EDM-2019-UnnamTA #email #feedback #generative
- Grading emails and generating feedback (AU, RT, VA).
- EDM-2019-VainasDGRBSLS #development
- Staying in the Zone: Sequencing Content in Classrooms Based on the Zone of Proximal Development (OV, YBD, RGB, MR, OBI, RS, GL, DS).
- EDM-2019-VaratharajBLH #assessment #automation #tool support
- Hao Fa Yin: Developing Automated Audio Assessment Tools for a Chinese Language Course (AV, AFB, XL, NTH).
- EDM-2019-Venantd #complexity #concept #graph #predict #semantics #towards
- Towards the Prediction of Semantic Complexity Based on Concept Graphs (RV, Md).
- EDM-2019-WampflerKSSG #mobile #predict #smarttech #using
- Affective State Prediction in a Mobile Setting using Wearable Biometric Sensors and Stylus (RW, SK, BS, VRS, MG0).
- EDM-2019-Wang #automation
- Techniques for Automatically Evaluating Machine-Generated Questions (ZW0).
- EDM-2019-WangLGJT #assessment
- Improving Peer Assessment Accuracy by Incorporating Relative Peer Grades (TW, QL0, JG0, XJ, JT0).
- EDM-2019-WangLWGB #automation #bidirectional
- A Meta-Learning Augmented Bidirectional Transformer Model for Automatic Short Answer Grading (ZW0, ASL, AEW, PG, RGB).
- EDM-2019-WangMG
- Deep Hierarchical Knowledge Tracing (TW, FM, JG0).
- EDM-2019-WeitekampHMRK #learning #predict #student #towards #using
- Toward Near Zero-Parameter Prediction Using a Computational Model of Student Learning (DWI, EH, CJM, NR, KRK).
- EDM-2019-WhitehillAH #crowdsourcing #learning #predict #what
- Do Learners Know What's Good for Them? Crowdsourcing Subjective Ratings of OERs to Predict Learning Gains (JW, CA, BH).
- EDM-2019-WileyBPL #concept
- Beyond Autoscoring: Extracting Conceptual Connections from Essays for Classroom Instruction (KJW, AB, ZAP, MCL).
- EDM-2019-WileyBPL19a #concept
- Beyond Autoscoring: Extracting Conceptual Connections from Essays for Classroom Instruction (KJW, AB, ZAP, MCL).
- EDM-2019-Woodruff #architecture #education #interactive #machine learning #predict #student
- Predicting student academic outcomes in UK secondary phase education: an architecture for machine learning and user interaction (MW).
- EDM-2019-XuGLB #how #social #what
- What You Say is Relevant to How You Make Friends: Measuring the Effect of Content on Social Connection (YX, NG, CFL, TB).
- EDM-2019-YahyaMO #data mining #education #effectiveness #mining #novel #source code #using
- A Novel Use of Educational Data Mining to Inform Effective Management of Academic Programs (AAY, FAM, AO).
- EDM-2019-YangBSHL #detection #learning #student
- Active Learning for Student Affect Detection (TYY, RSB, CS, NTH, ASL).
- EDM-2019-Yeung #learning #named #using
- Deep-IRT: Make Deep Learning Based Knowledge Tracing Explainable Using Item Response Theory (CKY).
- EDM-2019-ZaidiCDMBR #learning #modelling #student #using
- Accurate Modelling of Language Learning Tasks and Students Using Representations of Grammatical Proficiency (AHZ, AC, CD, RM, PB, AR).
- EDM-2019-ZhangDYS #learning #student
- Student Knowledge Diagnosis on Response Data via the Model of Sparse Factor Learning (YZ, HD, YY, XS).
- EDM-2019-ZhangHWLFSFHA #comparison #detection #modelling
- Early Detection of Wheel Spinning: Comparison across Tutors, Models, Features, and Operationalizations (CZ, YH, JW, DL, WF, JCS, SF, KH, VA).
- EDM-2019-ZhiMDLPB #data-driven #feedback #programming #towards
- Toward Data-Driven Example Feedback for Novice Programming (RZ, SM, YD, NL, TWP, TB).
- EDM-2019-ZingleRXGXPKA #detection
- Detecting Suggestions in Peer Assessments (GZ, BR, YX, EFG, ZX, FP, GK, AA).
