{"id":"W3109713436","doi":"10.18280/isi.250508","title":"Analysis on Course Scores of Learners of Online Teaching Platforms Based on Data Mining","year":2020,"lang":"en","type":"article","venue":"Ingénierie des systèmes d information","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Cluster analysis; Computer science; Salient; Principal component analysis; Artificial intelligence; Support vector machine; Machine learning; Maximization; Data mining; Course (navigation); Pattern recognition (psychology); Engineering; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"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":[0.001376202,0.0005373025,0.0005090092,0.003079148,0.0003422476,0.0009503578,0.0004805489,0.0003424425,0.0005452433],"category_scores_gemma":[0.0057119,0.000105981,0.0005374664,0.002070782,0.0002393299,0.0008045573,0.0005367678,0.0004897943,0.0003216131],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004386592,"about_ca_system_score_gemma":0.0005615427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002725826,"about_ca_topic_score_gemma":0.002917798,"domain_scores_codex":[0.9987214,0.0002499413,0.0001201173,0.0002506555,0.0005388156,0.000118979],"domain_scores_gemma":[0.9967539,0.001122339,0.0004856157,0.0002531699,0.001083974,0.0003009692],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0003352713,0.0007485684,0.6498354,0.0001171828,0.0001895002,0.0002954712,0.000728891,0.01094299,0.009288579,0.0009078283,0.001679069,0.3249311],"study_design_scores_gemma":[0.0000200474,0.0007887552,0.6234004,0.00004162519,0.0001517786,0.0004191942,0.001692544,0.3432262,0.02571312,0.001694371,0.002768613,0.00008336681],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9723899,0.00007410274,0.02534757,0.0001109636,0.00001705033,0.00008808087,0.0005811631,0.0002021712,0.001189036],"genre_scores_gemma":[0.9854805,0.00006722199,0.01278388,0.0000120073,0.00001399538,0.00005735158,0.0008219517,0.00001177262,0.0007512187],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003079148,"threshold_uncertainty_score":0.007278085,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0341767912219362,"score_gpt":0.289140472242811,"score_spread":0.2549636810208749,"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."}}