{"id":"W2699398694","doi":"10.1145/3085585.3085586","title":"How Can Learning Analytics Improve a Course?","year":2017,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Learning analytics; Computer science; Analytics; Data science; Suite; Curriculum; Field (mathematics); Perspective (graphical); Domain (mathematical analysis); Quality (philosophy); Data analysis; Subject-matter expert; Subject matter; Software analytics; Cultural analytics; Artificial intelligence; Software; Semantic analytics; Psychology; Data mining; Software development; Pedagogy","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":[],"consensus_categories":[],"category_scores_codex":[0.01865264,0.0008216387,0.000561372,0.003347514,0.002766099,0.01487632,0.003034363,0.003271272,0.02285943],"category_scores_gemma":[0.08582062,0.0003073763,0.0007170913,0.002220195,0.002292145,0.01903882,0.005272791,0.004266437,0.007545741],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004828072,"about_ca_system_score_gemma":0.009505792,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004406641,"about_ca_topic_score_gemma":0.008700606,"domain_scores_codex":[0.9913363,0.003925606,0.0003352294,0.0008749291,0.002436772,0.001091026],"domain_scores_gemma":[0.954266,0.01629582,0.003735895,0.004219497,0.01139523,0.01008757],"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":[0.0001168178,0.001624246,0.0300516,0.0008553349,0.00006478502,0.0001601782,0.002309118,0.001122562,0.0006340108,0.02651877,0.1486366,0.7879058],"study_design_scores_gemma":[0.0002077875,0.001409929,0.09855667,0.008237931,0.0002183571,0.0002657892,0.02990056,0.005169361,0.004410544,0.1894568,0.6618995,0.0002666449],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1123449,0.009611271,0.02795519,0.6579943,0.006155946,0.0009866798,0.001890816,0.003498472,0.1795624],"genre_scores_gemma":[0.8209529,0.01253649,0.09551588,0.03181716,0.002309724,0.0008453466,0.001782759,0.000517742,0.03372197],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.02285943,"threshold_uncertainty_score":0.09864575,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01677349465214053,"score_gpt":0.2802262359275159,"score_spread":0.2634527412753754,"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."}}