{"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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.002832366,0.0004222535,0.0009002955,0.0004004657,0.0006082248,0.000681508,0.001028584,0.0002049386,0.00006178138],"category_scores_gemma":[0.004917338,0.0003903945,0.0003589452,0.001461646,0.0001275245,0.0006900996,0.0003688033,0.004523753,0.00004634467],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008409371,"about_ca_system_score_gemma":0.0003140297,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000005688963,"about_ca_topic_score_gemma":4.570446e-7,"domain_scores_codex":[0.9954934,0.001188224,0.001150194,0.0005507662,0.000983556,0.0006338333],"domain_scores_gemma":[0.9958235,0.001095296,0.001475379,0.0002514669,0.0006291451,0.0007252168],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00005122263,0.00005244319,0.0244642,0.00005953786,0.0002911259,0.0004172096,0.002903883,0.9573256,0.0006207562,0.0004785733,0.001210596,0.01212489],"study_design_scores_gemma":[0.0007792504,0.002221574,0.0007654226,0.0001333934,0.0002313358,0.0003017581,0.001492947,0.9668232,0.000119564,0.000306522,0.0263818,0.0004432418],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.06162164,0.001104769,0.9173576,0.01859844,0.0002313065,0.0001031209,3.973681e-7,0.0002348527,0.000747898],"genre_scores_gemma":[0.9116003,0.0008765889,0.08504102,0.0004684963,0.0007669718,5.306188e-7,0.00000429341,0.00005347548,0.001188301],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8499787,"threshold_uncertainty_score":0.9998548,"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."}}