{"id":"W3111242942","doi":"10.18608/jla.2020.73.2","title":"Learning Design and Learning Analytics: Snapshot 2020","year":2020,"lang":"en","type":"article","venue":"Journal of Learning Analytics","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":51,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Learning analytics; Analytics; Learning sciences; Learning design; Instructional design; Educational technology; Computer science; Collaborative learning; Open learning; Data science; Mathematics education; Psychology; Knowledge management; Cooperative learning; Teaching method","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":[0.002974489,0.001100819,0.0004890558,0.007159442,0.001016106,0.008606446,0.0009349493,0.00186008,0.07148972],"category_scores_gemma":[0.007406589,0.0006553424,0.0008073063,0.009766654,0.0006368977,0.005369768,0.004103427,0.002588081,0.02912025],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003671274,"about_ca_system_score_gemma":0.005412912,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0136007,"about_ca_topic_score_gemma":0.02981255,"domain_scores_codex":[0.9982722,0.000424878,0.0001178646,0.0001296457,0.0008011051,0.0002543204],"domain_scores_gemma":[0.9944888,0.001655752,0.0003027882,0.0005207951,0.001877465,0.001154247],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"observational","study_design_scores_codex":[0.00007905057,0.00008434309,0.001780638,0.001308173,0.00002482399,0.00007520304,0.000503408,0.0006292636,0.0003785031,0.02392768,0.7775469,0.193662],"study_design_scores_gemma":[0.00000855786,0.000018836,0.00135726,0.000573609,0.000008025194,0.00006272674,0.0002567907,0.0003010777,0.0001914628,0.005174337,0.9920352,0.00001220749],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"other","genre_gemma":"empirical","genre_scores_codex":[0.01002065,0.0511428,0.03698264,0.04292867,0.009890539,0.0005541442,0.1754518,0.03664925,0.6363795],"genre_scores_gemma":[0.08950049,0.07281236,0.1498516,0.01338108,0.003844574,0.001254841,0.3221486,0.0121701,0.3350363],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.07148972,"threshold_uncertainty_score":0.239157,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02899101790209747,"score_gpt":0.2691178814336822,"score_spread":0.2401268635315847,"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."}}