{"id":"W2973164289","doi":"10.1080/01587919.2019.1656151","title":"Advancing open, flexible and distance learning through learning analytics","year":2019,"lang":"en","type":"article","venue":"Distance Education","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":37,"is_retracted":false,"has_abstract":true,"ca_institutions":"Dawson College","funders":"","keywords":"Distance education; Learning analytics; Mainstream; Open learning; Formal learning; Open education; Analytics; Educational technology; Formal education; Mathematics education; Learning society; Sociology; Pedagogy; Computer science; Knowledge management; Lifelong learning; Teaching method; Psychology; Data science; Political science; Cooperative learning","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003477867,0.000162803,0.0002136943,0.00006068408,0.000298253,0.0005515928,0.0006126235,0.00005157254,0.0000222674],"category_scores_gemma":[0.0001919148,0.000168361,0.00003743028,0.0005721804,0.00003610906,0.001300835,0.0002208678,0.0004137681,0.00007887524],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001047501,"about_ca_system_score_gemma":0.0002582687,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006106307,"about_ca_topic_score_gemma":0.00001813417,"domain_scores_codex":[0.998603,0.00008937496,0.0002403734,0.0005260356,0.0002208939,0.0003203329],"domain_scores_gemma":[0.9990508,0.0001069433,0.0002216834,0.0003999056,0.0001344777,0.00008617697],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00001931176,0.0002459968,0.2636014,0.0002034678,0.0000327675,0.000002659358,0.005489071,0.02995473,0.0005308865,0.6413615,0.001944087,0.05661408],"study_design_scores_gemma":[0.0006132963,0.0002391591,0.01446631,0.0004476983,0.00002980585,0.00001487043,0.005360042,0.3034112,0.0002820298,0.0351062,0.6391886,0.0008408068],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1131067,0.001743707,0.8474173,0.008386117,0.00106089,0.0003357887,0.000001374952,0.0003577629,0.02759038],"genre_scores_gemma":[0.9398027,0.0001740759,0.03159226,0.0003135568,0.0001116912,0.000009354487,0.00002324665,0.0000189519,0.02795419],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.826696,"threshold_uncertainty_score":0.686556,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0105988993813043,"score_gpt":0.3082978855413444,"score_spread":0.2976989861600401,"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."}}