{"id":"W1988939318","doi":"10.1109/hicss.2013.11","title":"Introduction to Learning Analytics and Networked Learning Minitrack","year":2013,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"U.S. Department of Education","keywords":"Learning analytics; Computer science; Educational technology; Learning sciences; Knowledge management; Collaborative learning; Synchronous learning; Data science; Social learning; Scope (computer science); Analytics; Social media; Networked learning; World Wide Web; Cooperative learning; Psychology; Teaching method; Mathematics education","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":[0.007516434,0.0014124,0.001901198,0.007482624,0.004642476,0.02259707,0.003677936,0.006399081,0.1390119],"category_scores_gemma":[0.02475447,0.000971864,0.001643279,0.008890683,0.003452477,0.01693514,0.009178204,0.01178349,0.07476016],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.004392877,"about_ca_system_score_gemma":0.005576193,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001718354,"about_ca_topic_score_gemma":0.002010214,"domain_scores_codex":[0.9919132,0.001399725,0.0007889753,0.001067214,0.004166151,0.0006647334],"domain_scores_gemma":[0.9625872,0.01350993,0.001475782,0.002353189,0.0138443,0.006229526],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00003744195,0.00007631961,0.0001916157,0.0006700073,0.00001111643,0.00008322101,0.0005315321,0.0001470152,0.0004114574,0.02918583,0.8395745,0.12908],"study_design_scores_gemma":[0.000004905879,0.00003020435,0.0002629043,0.0004785357,0.000002379518,0.0001240844,0.0001342912,0.00008179624,0.00004825449,0.004670097,0.9941487,0.00001383185],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"editorial","genre_gemma":"other","genre_scores_codex":[0.001698691,0.1081184,0.04823335,0.1131871,0.3726896,0.001318832,0.002734734,0.003406904,0.3486123],"genre_scores_gemma":[0.01289491,0.09613225,0.02251502,0.04459888,0.2360791,0.001865831,0.004780321,0.003217669,0.5779161],"genre_candidate":"other","genre_consensus":null,"teacher_disagreement_score":0.1390119,"threshold_uncertainty_score":0.4650411,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007717620401856614,"score_gpt":0.230997123962923,"score_spread":0.2232795035610664,"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."}}