{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":["open_science"],"consensus_categories":[],"category_scores_codex":[0.003301545,0.0003689853,0.0002111029,0.0008055469,0.001427585,0.008552914,0.001203142,0.001537192,0.01176477],"category_scores_gemma":[0.008774852,0.0001501717,0.0002977486,0.0007131453,0.003342816,0.010211,0.01025934,0.003062588,0.005691833],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001181459,"about_ca_system_score_gemma":0.004095638,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001168873,"about_ca_topic_score_gemma":0.001708417,"domain_scores_codex":[0.9975325,0.0007069776,0.00006554097,0.0001883301,0.001174333,0.0003324286],"domain_scores_gemma":[0.9925246,0.003002598,0.000526622,0.00113521,0.0009256839,0.001885345],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00005026111,0.0002566608,0.003788933,0.0005963651,0.00001733342,0.0001361613,0.005944556,0.001158132,0.005598817,0.4265497,0.04127109,0.5146319],"study_design_scores_gemma":[0.00001729704,0.0001441898,0.002731739,0.0005575741,0.000007196772,0.000217837,0.004866983,0.002468904,0.003396467,0.4684214,0.5171251,0.00004526358],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.0900333,0.006357137,0.2501355,0.1031751,0.002187958,0.0002981483,0.000350192,0.003833692,0.5436288],"genre_scores_gemma":[0.7571337,0.008666645,0.1431478,0.009337491,0.001945239,0.0001861422,0.0004385839,0.0005952573,0.07854916],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9987969,"threshold_uncertainty_score":0.03935707,"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."}}