{"id":"W797456421","doi":"10.1016/j.iheduc.2015.06.002","title":"Analytics of communities of inquiry: Effects of learning technology use on cognitive presence in asynchronous online discussions","year":2015,"lang":"en","type":"article","venue":"The Internet and Higher Education","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":201,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Asynchronous communication; Cognition; Task (project management); Cluster analysis; Psychology; Computer science; Psychological intervention; Analytics; Community of inquiry; Mathematics education; Data science; Engineering; Artificial intelligence","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":[0.000211923,0.00004323093,0.0001153477,0.0001359546,0.00003044752,0.000007170362,0.0001132207,0.00004991271,0.00001168915],"category_scores_gemma":[0.0003092564,0.00002941162,0.00001348231,0.0002090366,0.0004442304,0.00007495349,0.00004533711,0.0001714162,4.634433e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001935349,"about_ca_system_score_gemma":0.0001656332,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003251977,"about_ca_topic_score_gemma":0.001979729,"domain_scores_codex":[0.9994071,0.0002416112,0.0001336053,0.00004719345,0.0001010467,0.00006951145],"domain_scores_gemma":[0.9991485,0.0004941988,0.0001415547,0.00007121974,0.0001252123,0.00001935186],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001555289,0.001394748,0.5984556,0.00018704,0.00006852917,6.35261e-7,0.2788579,0.0002379335,0.0002827218,0.04827417,0.0002749547,0.07181024],"study_design_scores_gemma":[0.0009624547,0.001542578,0.2415226,0.003225869,0.0001444598,0.000001038048,0.7297496,0.00042343,0.003527558,0.006198052,0.01247338,0.0002290157],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.998061,0.0002248697,0.00002202416,0.0008848225,0.0001526608,0.00009731628,0.000001330554,0.000007061714,0.000548906],"genre_scores_gemma":[0.9983481,0.0001145736,0.0001041552,0.00001054883,0.00004779541,0.000003843359,0.000008443601,0.000003297558,0.001359288],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4508917,"threshold_uncertainty_score":0.4916039,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05780889762964842,"score_gpt":0.3763445389484247,"score_spread":0.3185356413187763,"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."}}