{"id":"W1606344619","doi":"10.18608/jla.2014.13.21","title":"Learning Analytics for Communities of Inquiry","year":2014,"lang":"en","type":"article","venue":"Journal of Learning Analytics","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Learning analytics; Computer science; Analytics; Data science; Educational technology; Community of inquiry; Cultural analytics; Educational research; Foundation (evidence); Knowledge management; Sociology; World Wide Web; Psychology; Pedagogy; The Internet; Semantic analytics; Cognition","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":[],"consensus_categories":[],"category_scores_codex":[0.0052001,0.0001359036,0.0005200969,0.0003931761,0.0006406745,0.00008889194,0.0004117562,0.0001484015,0.00006268464],"category_scores_gemma":[0.004251333,0.0001272611,0.0003292121,0.0004308058,0.0003238372,0.0002323317,0.00004864042,0.001111484,0.00000414234],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007973854,"about_ca_system_score_gemma":0.0004099185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00008663551,"about_ca_topic_score_gemma":0.000152788,"domain_scores_codex":[0.9973565,0.0008699013,0.000738266,0.00008586919,0.0006035864,0.0003458507],"domain_scores_gemma":[0.9956363,0.001729783,0.001338849,0.0001338789,0.001015106,0.000146102],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001858224,0.000263295,0.2897611,0.0002250768,0.0005951031,0.000009189805,0.06400075,0.5284891,0.0003473437,0.01372266,0.001778025,0.1006226],"study_design_scores_gemma":[0.0009492482,0.001621537,0.001403534,0.0003069833,0.0004099802,0.00001099842,0.1947437,0.0572175,0.00009843679,0.001125271,0.741827,0.0002858132],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9336698,0.0002403029,0.05498708,0.002105528,0.0006034347,0.0001127632,0.000001388965,0.00005736738,0.008222323],"genre_scores_gemma":[0.9863909,0.0003644746,0.009324896,0.00003870672,0.00116284,4.721915e-7,0.000004228516,0.00002429539,0.002689202],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.7400489,"threshold_uncertainty_score":0.5189558,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0620614015205096,"score_gpt":0.3672880759785776,"score_spread":0.305226674458068,"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."}}