{"id":"W4297990445","doi":"10.18280/ria.360411","title":"Big Data in Academia: A Proposed Framework for Improving Students Performance","year":2022,"lang":"en","type":"article","venue":"Revue d intelligence artificielle","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Big data; Computer science; Data science; Lifelong learning; Scalability; Comprehension; Knowledge management; Learning analytics; Key (lock); Order (exchange); Psychology; Pedagogy; Data mining; Business","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.01630729,0.00202058,0.001175942,0.00850946,0.003058103,0.01237506,0.005428823,0.003625248,0.004857906],"category_scores_gemma":[0.01932016,0.0006893743,0.00160267,0.007556214,0.004794857,0.0139284,0.009505011,0.002322988,0.001689811],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003773787,"about_ca_system_score_gemma":0.01056802,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.008870148,"about_ca_topic_score_gemma":0.01035569,"domain_scores_codex":[0.9902902,0.004435724,0.0007214847,0.001687062,0.002179756,0.0006857782],"domain_scores_gemma":[0.9852585,0.004499722,0.001306562,0.002416834,0.004142121,0.002376289],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.0002513319,0.0008184616,0.02863246,0.000926855,0.0002407109,0.0003534015,0.003794962,0.02080099,0.001862742,0.5976393,0.0273694,0.3173095],"study_design_scores_gemma":[0.0000863894,0.0004783795,0.005712246,0.0009190256,0.0001669473,0.000298877,0.006170773,0.2229628,0.003367554,0.6420161,0.1176304,0.0001905271],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01201443,0.002121733,0.910022,0.03518232,0.0005905713,0.00101443,0.001483981,0.002517533,0.03505307],"genre_scores_gemma":[0.2804461,0.001885041,0.7074342,0.001412054,0.0004599048,0.001041154,0.0016528,0.0001713839,0.005497402],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01630729,"threshold_uncertainty_score":0.08624226,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08871608109901573,"score_gpt":0.3458335707636226,"score_spread":0.2571174896646068,"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."}}