{"id":"W7092649478","doi":"10.5281/zenodo.17391911","title":"ADAPTIVE MANAGEMENT OF STUDENT LEARNING ACTIVITIES IN FOREIGN COUNTRIES: INTERNATIONAL EXPERIENCES AND ANALYSIS","year":2025,"lang":"","type":"dataset","venue":"Zenodo (CERN European Organization for Nuclear Research)","topic":"History of Computing Technologies","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Adaptive learning; Learning Management; Student engagement; Adaptive management; Active learning (machine learning); Best practice; Adaptive system","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":[0.001447722,0.0003697033,0.0003380492,0.002857856,0.0006648068,0.001532683,0.0007364499,0.0005159584,0.002857175],"category_scores_gemma":[0.004368216,0.0001295782,0.0003782795,0.007722033,0.0003035794,0.001042777,0.001992538,0.0007197011,0.001985639],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009466647,"about_ca_system_score_gemma":0.0006913626,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.018343,"about_ca_topic_score_gemma":0.01922644,"domain_scores_codex":[0.9989349,0.0002887742,0.0001238192,0.0002198771,0.000228535,0.000204109],"domain_scores_gemma":[0.9973586,0.0008722621,0.0003276968,0.0005638446,0.0005746127,0.0003029394],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008889743,0.0009143821,0.4414036,0.001404546,0.0002322984,0.0006061157,0.01070903,0.003958119,0.001212808,0.003735465,0.3072401,0.2276945],"study_design_scores_gemma":[0.00005932997,0.0002042073,0.6523224,0.0004051997,0.0000581284,0.0004314915,0.01840959,0.002701994,0.001740695,0.0007530546,0.3228067,0.0001072549],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"dataset","genre_scores_codex":[0.6497067,0.001072985,0.001391698,0.0006680295,0.0001077159,0.0001517767,0.3267405,0.0006371574,0.01952331],"genre_scores_gemma":[0.4463736,0.001006449,0.002305265,0.0001543415,0.00004416276,0.0004379872,0.5437981,0.0001319045,0.005748127],"genre_candidate":"dataset","genre_consensus":null,"teacher_disagreement_score":0.018343,"threshold_uncertainty_score":0.03647244,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02697695211503984,"score_gpt":0.2733822488447969,"score_spread":0.2464052967297571,"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."}}