Xiangen Hu, Tiffany Barnes, Arnon Hershkovitz, Luc Paquette
Proceedings of the 10th International Conference on Educational Data Mining
EDM, 2017.
Contents (115 items)
- EDM-2017-AdjeiOEH #clustering #personalisation #student
- Clustering Students in ASSISTments: Exploring System- and School-Level Traits to Advance Personalization (SA, KO, EE, NTH).
- EDM-2017-AgrawalNM #learning #student
- Grouping Students for Maximizing Learning from Peers (RA, SN, NMM).
- EDM-2017-Albrecht #estimation #framework #programming #student
- A Framework for the Estimation of Students' Programming Abilities (EA).
- EDM-2017-AndresBSGSC #framework #replication #scalability #using
- Studying MOOC Completion at Scale Using the MOOC Replication Framework (JMLA, RSB, GS, DG, CAS, SAC).
- EDM-2017-AnKM #behaviour #question
- Can Typical Behaviors Identified in MOOCs be Discovered in Other Courses? (TSA, CK, AM).
- EDM-2017-Askinadze0 #distance #predict #student
- Application of the Dynamic Time Warping Distance for the Student Drop-out Prediction on Time Series Data (AA, SC0).
- EDM-2017-BalyanMM #approach #comprehension #machine learning #natural language
- Combining Machine Learning and Natural Language Processing Approach to Assess Literary Text Comprehension (RB, KSM, DSM).
- EDM-2017-BaoCH #learning #multi #on the #online
- On the Prevalence of Multiple-Account Cheating in Massive Open Online Learning (YB, GC, CH).
- EDM-2017-BauerFP #analysis #behaviour #challenge #game studies #problem
- Analysis of problem-solving behavior in open-ended scientific-discovery game challenges (AB, JF, ZP).
- EDM-2017-BeckCB #data mining #education #learning #mining
- Workshop proposal: deep learning for educational data mining (JB, MC, RSB).
- EDM-2017-CaiEDPGS #analysis #chat #collaboration #learning #modelling #network #topic
- Epistemic Network Analysis and Topic Modeling for Chat Data from Collaborative Learning Environment (ZC, BRE, ND, JWP, ACG, DWS).
- EDM-2017-CaoTH #analysis #student
- An Analysis of Students' Questions in MOOCs Forums (MC, YT, XH).
- EDM-2017-ChenNSN #feedback #programming #realtime
- Real-time programming exercise feedback in MOOCs (ZC, AN, AS, JN).
- EDM-2017-ChoiWBCRF #social #student #topic
- Social work in the classroom? A tool to evaluate topical relevance in student writing (HC, ZW, CB, KCT, BGR, DF).
- EDM-2017-ChountaMAJK #approach #development #modelling
- Modeling the Zone of Proximal Development with a Computational Approach (IAC, BMM, PLA, PWJ, SK).
- EDM-2017-Cole #evolution
- The evolution of virtual tutors, clinician, and companions: A 20-year perspective on conversational agents in real-world applications (RC).
- EDM-2017-CookLHM #modelling #student
- Task and Timing: Separating Procedural and Tactical Knowledge in Student Models (JC, CL, AH, BM).
- EDM-2017-CrossleyBLM
- Linking Language to Math Success in a Blended Course (SAC, TB, CL, DSM).
- EDM-2017-Crues #education
- Untangling The Program Name Versus The Curriculum: An Investigation of Titles and Curriculum Content (RWC).
- EDM-2017-Crues17a #automation
- Automated Extraction of Results from Full Text Journal Articles (RWC).
- EDM-2017-DianaESGBB #automation #data-driven
- Automatic Peer Tutor Matching: Data-Driven Methods to Enable New Opportunities for Help (ND, ME, JCS, SG, MAB, SB).
- EDM-2017-DianaSK #education #identification #logic
- Teaching Informal Logical Fallacy Identification with a Cognitive Tutor (ND, JCS, KRK).
- EDM-2017-DMelloMBB
- Zone out no more: Mitigating mind wandering during computerized reading (SKD, CM, RB, NB).
- EDM-2017-DongB #behaviour #learning #modelling #student
- An Extended Learner Modeling Method to Assess Students' Learning Behaviors (YD, GB).
- EDM-2017-DoroudiB #problem
- The Misidentified Identifiability Problem of Bayesian Knowledge Tracing (SD, EB).
- EDM-2017-EkambaramMDKSN #learning #physics
- Tell Me More: Digital Eyes to the Physical World for Early Childhood Learning (VE, RSM, PD, RK, AKS, SVN).
- EDM-2017-FangNPXGH #learning #online #persistent
- Online Learning Persistence and Academic Achievement (YF, BN, PIPJ, YX, ACG, XH).
- EDM-2017-Feng
- Identifiability of the Bayesian Knowledge Tracing Model (JF).
- EDM-2017-GardnerB #evaluation #predict #towards
- Toward Replicable Predictive Model Evaluation in MOOCs (JG, CB).
- EDM-2017-GargP
- Supporting the Encouragement of Forum Participation (AG, AP).
- EDM-2017-GautamSSRG #classification #modelling
- Modeling Classifiers for Virtual Internships Without Participant Data (DG, ZS, DWS, VR, ACG).
- EDM-2017-GeigleZ #behaviour #markov #modelling #student
- Modeling MOOC Student Behavior With Two-Layer Hidden Markov Models (CG, CZ).
- EDM-2017-GitinabardLHB #community #identification #student
- Identifying student communities in blended courses (NG, CL, SH, TB).
- EDM-2017-GrawemeyerWSHMP #graph #learning #modelling #student #using
- Using Graph-based Modelling to explore changes in students' affective states during exploratory learning tasks (BG, AW, SGS, WH, MM, AP).
- EDM-2017-GuoCC #approach #network #student
- A Neural Network Approach to Estimate Student Skill Mastery in Cognitive Diagnostic Assessments (QG, MC, YC).
- EDM-2017-GuoHW #education
- MyCOS Intelligent Teaching Assistant (JG, XH, BW).
- EDM-2017-HansenHHAL #education #interactive #modelling #sequence #student
- Sequence Modelling For Analysing Student Interaction with Educational Systems (CH0, CH, NH, SA, CL).
- EDM-2017-HanWZ #modelling
- Improving Models of Peer Grading in SPOC (YH, WW0, XZ).
- EDM-2017-HanYY #comparison #difference #estimation
- Discovering skill prerequisite structure through Bayesian estimation and nested model comparison (SYH, JY, YJY).
- EDM-2017-HarrakBL #behaviour #identification #student
- Identifying relationships between students' questions type and their behavior (FH, FB, VL).
- EDM-2017-HongB #learning #predict #using
- A Prediction and Early Alert Model Using Learning Management System Data and Grounded in Learning Science Theory (WJH, MLB).
- EDM-2017-HuRB #standard #why
- Why data standards are critical for EDM and AIED (XH, RR, AB).
- EDM-2017-HuttHBSRD #detection
- Gaze-based Detection of Mind Wandering during Lecture Viewing (SH, JH, RB, AS, EFR, SD).
- EDM-2017-IsholaM #predict
- Predicting Prospective Peer Helpers to Provide Just-In-Time Help to Users in Question and Answer Forums (OMI, GM).
- EDM-2017-KaiABSHH #effectiveness #modelling #persistent
- Modeling Wheel-spinning and Productive Persistence in Skill Builders (SK, MVA, RSB, NS, CH, NTH).
- EDM-2017-KaiAPBMWM #behaviour #online #predict #student
- Predicting Student Retention from Behavior in an Online Orientation Course (SK, JMLA, LP, RSB, KM, HW, MM).
- EDM-2017-KarumbaiahLAWA #behaviour #student
- Addressing Student Behavior and Affect with Empathy and Growth Mindset (SK, RL, DA, BPW, IA).
- EDM-2017-KhosraviCK #named #recommendation
- RiPLE: Recommendation in Peer-Learning Environments Based on Knowledge Gaps and Interests (HK, KMLC, KK).
- EDM-2017-KlinglerWKSG #classification #performance #student
- Efficient Feature Embeddings for Student Classification with Variational Auto-encoders (SK, RW, TK, BS, MHG).
- EDM-2017-KuangCHN #analysis #framework #network #platform #social #topic
- A Topic Model and Social Network Analysis of a School Blogging Platform (XK, HSC, BH, GN).
- EDM-2017-LalleCATM #learning #on the #self #student
- On the Influence on Learning of Student Compliance with Prompts Fostering Self-Regulated Learning (SL, CC, RA, MT, NM).
- EDM-2017-LalwaniA #parametricity #question
- Few hundred parameters outperform few hundred thousand? (AL, SA).
- EDM-2017-LanBYC #behaviour
- Behavior-Based Latent Variable Model for Learner Engagement (ASL, CGB, TYY, MC).
- EDM-2017-LangDKP #how
- Making the Grade: How Learner Engagement Changes After Passing a Course (DL, BD, AK, AP).
- EDM-2017-LiFZ
- When and who at risk? Call back at these critical points (YL, CF, YZ).
- EDM-2017-LiGD #assessment #automation #online
- Automated Assessment for Scientific Explanations in On-line Science Inquiry (HL, JDG, RD).
- EDM-2017-LiTSH #analysis
- Text analysis with LIWC and Coh-Metrix: Portraying MOOCs Instructors (JL, YT, LS, XH).
- EDM-2017-LiuCBLR #education #game studies #question
- The Antecedents of and Associations with Elective Replay in An Educational Game: Is Replay Worth It? (ZL, CC, TB, CL, TR).
- EDM-2017-LiuK #automation #data-driven #learning
- Closing the loop: Automated data-driven cognitive model discoveries lead to improved instruction and learning (RL0, KRK).
- EDM-2017-LiuK17a #metric #parametricity #reliability #student #towards
- Towards reliable and valid measurement of individualized student parameters (RL0, KRK).
- EDM-2017-LiuKSP #reuse
- Sharing and Reusing Data and Analytic Methods with LearnSphere (RL0, KRK, JCS, PIPJ).
- EDM-2017-LiuL #student #using
- Exploring the Relationship Between Student Pre-knowledge and Engagement in MOOC Class Using Polytomous IRT (JL, HL).
- EDM-2017-LuKP #automation #quality #student
- Developing Chinese Automated Essay Scoring Model to Assess College Students' Essay Quality (YJL, BCK, KCP).
- EDM-2017-LynchBXG #data mining #education #graph #mining
- Graph-based Educational Data Mining (CL, TB, LX, NG).
- EDM-2017-MadaioLCO #mining #predict #using
- Using Temporal Association Rule Mining to Predict Dyadic Rapport in Peer Tutoring (MAM, RL, JC, AO).
- EDM-2017-MaM #composition #learning
- Intelligent Composition of Test Papers based on MOOC Learning Data (LM, YM).
- EDM-2017-McBride #simulation #student #using
- Student Use of Inquiry Simulations in Middle School Science (EM).
- EDM-2017-McBrideVL #simulation #student #using
- Student Use of Scaffolded Inquiry Simulations in Middle School Science (EM, JMV, MCL).
- EDM-2017-McCarthyJLMM
- Metacognitive Prompt Overdose: Positive and Negative Effects of Prompts in iSTART (KSM, AMJ, ADL, ZM, DSM).
- EDM-2017-MichalenkoLB #feedback #memory management #network #personalisation #using
- Personalized Feedback for Open-Response Mathematical Questions using Long Short-Term Memory Networks (JJM, ASL, RGB).
- EDM-2017-MichalenkoLWGB #concept
- Data-Mining Textual Responses to Uncover Misconception Patterns (JJM, ASL, AEW, PG, RGB).
- EDM-2017-MiF #adaptation #recommendation #using
- Adaptive Sequential Recommendation for Discussion Forums on MOOCs using Context Trees (FM, BF).
- EDM-2017-NamFC #learning #predict #semantics #word
- Predicting Short- and Long-Term Vocabulary Learning via Semantic Features of Partial Word Knowledge (SN, GAF, KCT).
- EDM-2017-OlneyBGG
- Assessing Computer Literacy of Adults with Low Literacy Skills (AO, DB, DG, ACG).
- EDM-2017-OlneyHGD #online #student
- Tracking Online Reading of College Students (AO, EH, ACG, SD).
- EDM-2017-OlneySDD #modelling
- Assessing the Dialogic Properties of Classroom Discourse: Proportion Models for Imbalanced Classes (AO, BS, PJD, SD).
- EDM-2017-OlneyWDG
- The Reading Ability of College Freshmen (AO, BW, RD, ACG).
- EDM-2017-Ortiz-VazquezLL #analysis #clustering #modelling #realtime
- Cluster Analysis of Real Time Location Data - An Application of Gaussian Mixture Models (AOV, XL, CFL, HSC, GN).
- EDM-2017-ParedesHH #behaviour #comprehension #programming #student #using
- Understanding Student's Reviewing and Reflection Behaviors Using Web-based Programming Grading Assistant (YVMP, PKH, SIHH).
- EDM-2017-PatikornHZ #evaluation #how
- An Offline Evaluation Method for Individual Treatment Rules and How to Find Heterogeneous Treatment Effect (TP, NTH, JZ).
- EDM-2017-PatikornSHBZ #detection #multi #using
- Using a Single Model Trained across Multiple Experiments to Improve the Detection of Treatment Effects (TP, DS, NTH, JB, JZ).
- EDM-2017-PokrajacSYH #markov #modelling #using
- Modeling Dormitory Occupancy Using Markov Chains (DDP, KS, DY, TH).
- EDM-2017-PriceZB #algorithm #data-driven #evaluation #feedback #programming
- Evaluation of a Data-driven Feedback Algorithm for Open-ended Programming (TWP, RZ, TB).
- EDM-2017-RenNR #predict
- Grade Prediction with Temporal Course-wise Influence (ZR, XN, HR).
- EDM-2017-RihakP #education #performance #similarity #using
- Measuring Similarity of Educational Items Using Data on Learners' Performance (JR, RP).
- EDM-2017-RomeroEGGM #automation #classification #learning #towards
- Towards Automatic Classification of Learning Objects: Reducing the Number of Used Features (CR, PGE, EG, AZG, VHM).
- EDM-2017-RushkinRAFTBL #adaptation #assessment #empirical
- Adaptive Assessment Experiment in a HarvardX MOOC (IR, YR, AMA, CF, DT, MJB, GL).
- EDM-2017-Sales #named #tutorial
- Tutorial: Principal Stratification for EDM Experiments (AS).
- EDM-2017-ShenC #clustering #student #using
- Clustering Student Sequential Trajectories Using Dynamic Time Wrapping (SS, MC).
- EDM-2017-ShiPG #analysis #learning #performance #using
- Using an Additive Factor Model and Performance Factor Analysis to Assess Learning Gains in a Tutoring System to Help Adults with Reading Difficulties (GS, PIPJ, ACG).
- EDM-2017-SindhgattaMDS #student
- Inferring Frequently Asked Questions from Student Question Answering Forums (RS, SM, TID, BS).
- EDM-2017-StewartBD #detection
- Generalizability of Face-Based Mind Wandering Detection Across Task Contexts (AS, NB, SD).
- EDM-2017-SuprajaHTK #automation #learning #towards
- Toward the Automatic Labeling of Course Questions for Ensuring their Alignment with Learning Outcomes (SS, KH, ST, AWHK).
- EDM-2017-Tang #question
- Can AI help MOOCs? (JT).
- EDM-2017-TatoND #automation #detection #network #reasoning
- Convolutional Neural Network for Automatic Detection of Sociomoral Reasoning Level (AANT, RN, AD).
- EDM-2017-ThanasuanCW #learning #mining #student
- Emerging Patterns in Student's Learning Attributes through Text Mining (KT, WC, CW).
- EDM-2017-VillamorR #analysis #collaboration #debugging #empirical
- Characterizing Collaboration in the Pair Program Tracing and Debugging Eye-Tracking Experiment: A Preliminary Analysis (MV, MMTR).
- EDM-2017-WanDGP #predict #using
- Dropout Prediction in MOOCs using Learners' Study Habits Features (HW, JD, XG, DP).
- EDM-2017-WanDGYL #online #performance #predict
- Predicting Performance in a Small Private Online Course (HW, JD, XG, QY, KL).
- EDM-2017-WangLGB #analysis
- A Latent Factor Model For Instructor Content Preference Analysis (JZW, ASL, PG, RGB).
- EDM-2017-WangSLP #learning #programming #student #using
- Learning to Represent Student Knowledge on Programming Exercises Using Deep Learning (LW, AS, LL, CP).
- EDM-2017-WatersGLB #learning
- Short-Answer Responses to STEM Exercises: Measuring Response Validity and Its Impact on Learning (AEW, PG, ASL, RGB).
- EDM-2017-XieMSEBH #adaptation #learning #online #predict #student
- Student Learning Strategies to Predict Success in an Online Adaptive Mathematics Tutoring System (JX, SM, KTS, AE, RSB, XH).
- EDM-2017-Xue #diagrams #student
- Intelligent Argument Grading System forStudent-produced Argument Diagrams (LX).
- EDM-2017-XueLC #diagrams #graph grammar #mining
- Mining Innovative Augmented Graph Grammars for Argument Diagrams through Novelty Selection (LX, CL, MC).
- EDM-2017-YasudaNKKH #automation #network #using
- Automatic Scoring Method for Descriptive Test Using Recurrent Neural Network (KY, IN, HK, HK, MH).
- EDM-2017-YinBPHZ #detection #empirical #personalisation
- Causal Forest vs. Naive Causal Forest in Detecting Personalization: An Empirical Study in ASSISTments (BY, AFB, TP, NTH, JZ).
- EDM-2017-Yukita #evaluation #named
- Whitebox: A Device To Assist Group Work Evaluation (DY).
- EDM-2017-ZengCB #detection #online
- Learner Affect Through the Looking Glass: Characterization and Detection of Confusion in Online Courses (ZZ, SC, SB).
- EDM-2017-ZengCZKC #predict
- Dropout Prediction in Home Care Training (WZ, SCC, BZ, RK, CLC).
- EDM-2017-ZhangS #interactive #modelling #network #scalability
- Modeling Network Dynamics of MOOC Discussion Interactions at Scale (JZ, MS).
- EDM-2017-ZhaoH #education #network
- Estimating Individual Treatment Effect from Educational Studies with Residual Counterfactual Networks (SZ, NTH).
- EDM-2017-ZhengSGWF #development #education #segmentation #visualisation
- Development of a Trajectory Model for Visualizing Teacher ICT Usage Based on Event Segmentation Data (LZ, RS, XG, BW, YF).
- EDM-2017-ZhouWLC #learning #policy #towards
- Towards Closing the Loop: Bridging Machine-induced Pedagogical Policies to Learning Theories (GZ, JW, CL, MC).
- EDM-2017-ZhuLW0 #automation #effectiveness #framework #generative #ranking #topic
- An Effective Framework for Automatically Generating and Ranking Topics in MOOC Videos (JZ, XL, ZW, MZ0).
