{"id":"W2808970715","doi":"10.1145/3231644.3231704","title":"Designing a learning analytics dashboard for twitter-facilitated teaching","year":2018,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Dashboard; Learning analytics; Computer science; Analytics; Social media; Class (philosophy); Process (computing); Knowledge management; Data science; World Wide Web; 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":[0.000917386,0.0001561056,0.0001911176,0.0001571278,0.0004849876,0.0002675667,0.0005738027,0.00006380546,0.00001507367],"category_scores_gemma":[0.0005804417,0.0001375902,0.0001032435,0.0002899678,0.00005902879,0.0002727745,0.0001577553,0.0003322555,0.0001052156],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003350857,"about_ca_system_score_gemma":0.00006066263,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001994187,"about_ca_topic_score_gemma":0.000004920472,"domain_scores_codex":[0.998594,0.0001182471,0.0002544168,0.0004153528,0.0002036413,0.0004142855],"domain_scores_gemma":[0.9989714,0.0002899659,0.00009366671,0.0003500863,0.0001857092,0.0001091931],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001401694,0.0008223521,0.04501531,0.0003402974,0.0009271201,0.00007791012,0.04007562,0.05072917,0.0563736,0.2993593,0.0722006,0.4339386],"study_design_scores_gemma":[0.0003242232,0.0004324598,0.0001179555,0.00002939927,0.00001664588,0.000006299495,0.0002861176,0.9593048,0.001263104,0.002926668,0.03505504,0.0002372778],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01767772,0.00000846127,0.9733564,0.003606556,0.000146647,0.00009076364,4.845638e-7,0.0005774144,0.004535565],"genre_scores_gemma":[0.5668426,8.375948e-7,0.4240338,0.0005642345,0.000197398,0.000003413044,0.000003390976,0.00001132115,0.008343089],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9085757,"threshold_uncertainty_score":0.5610765,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03495588275025503,"score_gpt":0.3148770848150832,"score_spread":0.2799212020648282,"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."}}