{"id":"W4391472898","doi":"10.1007/s10639-024-12500-w","title":"A machine learning based model for student’s dropout prediction in online training","year":2024,"lang":"en","type":"article","venue":"Education and Information Technologies","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université TÉLUQ; Université de Sherbrooke","funders":"Université de Sherbrooke","keywords":"Dropout (neural networks); Educational technology; Computer science; Training (meteorology); Machine learning; Artificial intelligence; Mathematics education; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.000208568,0.00007226118,0.00007347123,0.0005178633,0.00007922002,0.000240871,0.0001641191,0.00006992518,0.000001285679],"category_scores_gemma":[0.0001970134,0.0000653238,0.00002190993,0.000358103,0.00002154485,0.001484777,0.00004154617,0.0002031053,0.0000045168],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004329312,"about_ca_system_score_gemma":0.0001988966,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004340921,"about_ca_topic_score_gemma":0.000005311359,"domain_scores_codex":[0.9994637,0.000008792729,0.000219647,0.0001099249,0.00009326843,0.0001046551],"domain_scores_gemma":[0.9997307,0.00004505981,0.00005193159,0.0001053803,0.00005246199,0.00001446151],"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":[0.000001972297,0.00006430218,0.001379507,0.0001033857,0.00000570973,9.496627e-8,0.006077013,0.0360736,0.00001224263,0.06785645,0.0003581903,0.8880675],"study_design_scores_gemma":[0.0001245522,0.00004723251,0.0002817549,0.00007329335,0.000002948468,0.000001898972,0.004526681,0.9741718,0.00001994117,0.004966244,0.01571699,0.00006666661],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01782789,0.0004993191,0.959677,0.01927687,0.0003044665,0.0002031641,0.00001594591,0.001828167,0.0003671467],"genre_scores_gemma":[0.9616592,0.0001090104,0.03746108,0.0001783314,0.00001704235,0.00004130375,0.0001109526,0.000003495097,0.0004195678],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9438313,"threshold_uncertainty_score":0.2663827,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02020716009763379,"score_gpt":0.3056663972665565,"score_spread":0.2854592371689227,"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."}}