{"id":"W4280592718","doi":"10.1007/s10639-022-11068-7","title":"Dropout prediction in Moocs using deep learning and machine learning","year":2022,"lang":"en","type":"article","venue":"Education and Information Technologies","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":63,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Artificial intelligence; Machine learning; Dropout (neural networks); Computer science; Deep learning; Big data; Learning analytics; Context (archaeology); Educational technology; Educational data mining; Predictive analytics; Active learning (machine learning); Data science; Mathematics education; Psychology; Data mining","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00168745,0.0005208108,0.0007652547,0.001105198,0.0005662927,0.001011858,0.0008445687,0.000830038,0.002596622],"category_scores_gemma":[0.006177171,0.000176347,0.0005159242,0.0006091421,0.0002954412,0.001127801,0.00110715,0.0015205,0.000664259],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001135934,"about_ca_system_score_gemma":0.00108821,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01796539,"about_ca_topic_score_gemma":0.01552726,"domain_scores_codex":[0.9995756,0.0000810894,0.00002091954,0.000102057,0.00008139404,0.0001389399],"domain_scores_gemma":[0.9971768,0.001393148,0.0002352558,0.0001754648,0.0006196173,0.0003997785],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.003433151,0.002725207,0.3404297,0.0003025003,0.000313654,0.0003387626,0.0003592112,0.2110423,0.003800365,0.005567402,0.01876319,0.4129246],"study_design_scores_gemma":[0.00003891006,0.0002015499,0.02680094,0.00003291843,0.00005816195,0.0000190562,0.0001070148,0.964895,0.00208655,0.004660079,0.001084481,0.00001533198],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8991157,0.001196238,0.09356392,0.0006747335,0.0002132057,0.00006394329,0.001066352,0.001681608,0.0024243],"genre_scores_gemma":[0.9914178,0.0001062683,0.004167081,0.0000445208,0.00004502627,0.00002830052,0.0009635577,0.0000473714,0.003180167],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01796539,"threshold_uncertainty_score":0.03572166,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008235233686771091,"score_gpt":0.2477563655477561,"score_spread":0.239521131860985,"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."}}