{"id":"W1498982155","doi":"10.18608/jla.2014.12.4","title":"Learning Analytics for Online Discussions: Embedded and Extracted Approaches","year":2014,"lang":"en","type":"article","venue":"Journal of Learning Analytics","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":121,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Learning analytics; Analytics; Computer science; Software analytics; Educational technology; Data science; Intervention (counseling); Asynchronous communication; Mathematics education; Psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.005764314,0.0009066258,0.0004676393,0.003869737,0.001817583,0.008595959,0.002574926,0.001437951,0.007909151],"category_scores_gemma":[0.01682516,0.000515748,0.00115467,0.002550639,0.003633521,0.0113704,0.005717814,0.001752566,0.001212294],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001963523,"about_ca_system_score_gemma":0.001773696,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000508232,"about_ca_topic_score_gemma":0.0007500991,"domain_scores_codex":[0.9920681,0.004856965,0.0003687609,0.000871559,0.001607657,0.0002269595],"domain_scores_gemma":[0.9880832,0.008558341,0.0006768504,0.001503183,0.0008421122,0.0003363523],"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":[0.0002220837,0.001077743,0.007694659,0.002717083,0.0001071646,0.0005661441,0.07749058,0.00672356,0.0124764,0.3521882,0.003525571,0.5352108],"study_design_scores_gemma":[0.0001737393,0.0005143484,0.009073121,0.002712281,0.0001739079,0.001247817,0.05234418,0.1083871,0.02227263,0.5574467,0.2454692,0.0001849482],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.06000401,0.00151156,0.8941148,0.00236055,0.0001897243,0.001062565,0.0003513701,0.001284765,0.03912067],"genre_scores_gemma":[0.4386532,0.001346144,0.5476813,0.0002808962,0.0001902533,0.001101637,0.0004898002,0.0004587135,0.009798144],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.008595959,"threshold_uncertainty_score":0.03048503,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04217981932674447,"score_gpt":0.2891730724093879,"score_spread":0.2469932530826434,"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."}}