{"id":"W7015803125","doi":"","title":"Towards predicting student learning outcomes from learning management system interactions using machine learning","year":2023,"lang":"en","type":"dissertation","venue":"Mspace (University of Manitoba)","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Timeline; Learning Management; Artificial neural network; Raw data; Data collection; Timestamp; Learning analytics; Supervised learning; Unsupervised learning","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001731627,0.00123505,0.0006188511,0.003272878,0.0002760465,0.001930141,0.0006041822,0.000793077,0.001219792],"category_scores_gemma":[0.01029459,0.0003257335,0.0006567298,0.001464353,0.0002210913,0.001374605,0.0006275047,0.001203814,0.001283779],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007304045,"about_ca_system_score_gemma":0.000774175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.007607234,"about_ca_topic_score_gemma":0.0101824,"domain_scores_codex":[0.9991641,0.0002283964,0.00006861713,0.0002018309,0.0002564841,0.00008062006],"domain_scores_gemma":[0.9939321,0.003464797,0.0009966352,0.0003936601,0.001011012,0.0002018174],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0003803915,0.001342053,0.4397397,0.0001988085,0.0002220504,0.000119364,0.0003683767,0.1176141,0.005575014,0.000654383,0.002555975,0.4312299],"study_design_scores_gemma":[0.00001039511,0.0002717908,0.075415,0.00004480976,0.00004401247,0.0000390212,0.0002002724,0.916387,0.00565891,0.001025279,0.0008738647,0.0000296569],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8277445,0.0002704483,0.1619079,0.0003999837,0.00004808312,0.0002900057,0.002676413,0.002773842,0.003888888],"genre_scores_gemma":[0.9337437,0.0001630888,0.06195625,0.00003918187,0.00002030675,0.0001517249,0.002493405,0.00005693376,0.001375349],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.007607234,"threshold_uncertainty_score":0.01512587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0221701000060265,"score_gpt":0.2665885020291279,"score_spread":0.2444184020231014,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}