{"id":"W4211121197","doi":"10.5539/hes.v12n1p105","title":"Big Data in Higher Education for Student Behavior Analytics (Big Data-HE-SBA System Architecture)","year":2022,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Data Mining and Machine Learning Applications","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"American Educational Research Association","keywords":"Big data; Data science; Analytics; Computer science; Architecture; Business intelligence; Data analysis; Learning analytics; Data collection; Business analytics; Nonprobability sampling; Knowledge management; Data mining; Statistics; Marketing; Sociology; Business; Mathematics","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008757698,0.0002315817,0.0003018584,0.0003548781,0.0006079383,0.0001846775,0.003485897,0.00003620779,0.00002222813],"category_scores_gemma":[0.00003782579,0.000228165,0.00003693408,0.000899775,0.00005623521,0.0002858276,0.003307151,0.0002953749,0.00002526331],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000324985,"about_ca_system_score_gemma":0.0006991948,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002785866,"about_ca_topic_score_gemma":0.00005784826,"domain_scores_codex":[0.9974275,0.0001944283,0.0004991698,0.001109303,0.0004623753,0.0003071956],"domain_scores_gemma":[0.9954361,0.0002725238,0.0003054495,0.003683645,0.0002174478,0.00008486871],"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":[0.00002021687,0.003878421,0.02551982,0.0004242337,0.0003685356,0.000002579539,0.003538075,0.0005696347,0.00007440907,0.08171933,0.5337983,0.3500864],"study_design_scores_gemma":[0.0002904726,0.00005846291,0.0977651,0.00004207245,0.0001771883,0.000009950599,0.002796096,0.0003509834,0.000003003775,0.000309724,0.8978973,0.0002996321],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.2794673,0.07224927,0.1450629,0.2109671,0.247036,0.01521457,0.009283939,0.004311126,0.01640779],"genre_scores_gemma":[0.9303774,0.00006417992,0.02409093,0.001193559,0.00212679,0.004240121,0.003739489,0.00004596902,0.03412154],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6509101,"threshold_uncertainty_score":0.93043,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2327382594396288,"score_gpt":0.4188529535437773,"score_spread":0.1861146941041485,"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."}}