{"id":"W4386800443","doi":"10.23977/aetp.2023.070914","title":"Challenges and Opportunities of Generative Artificial Intelligence in Higher Education Student Educational Management","year":2023,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":15,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Generative grammar; Realm; Popularity; Scale (ratio); Domain (mathematical analysis); Knowledge management; Computer science; Artificial intelligence; Engineering ethics; Engineering; Political science","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":[0.01317561,0.0002977478,0.0003791258,0.0008465072,0.003149064,0.01453292,0.001642511,0.004074456,0.003508163],"category_scores_gemma":[0.01108816,0.0002864174,0.0003649734,0.001048227,0.01267254,0.01327678,0.007233281,0.004640452,0.0007702252],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002823867,"about_ca_system_score_gemma":0.006792736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009334027,"about_ca_topic_score_gemma":0.001502984,"domain_scores_codex":[0.9920481,0.005540417,0.0002468007,0.0004257973,0.001283613,0.0004552553],"domain_scores_gemma":[0.9892952,0.006992762,0.0005840602,0.001142669,0.0009206337,0.001064717],"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":[0.00001860514,0.0001164192,0.002067768,0.0001803656,0.00000970572,0.0001413033,0.008270226,0.00157003,0.00038247,0.8787581,0.003431498,0.1050535],"study_design_scores_gemma":[0.00001220259,0.00007221934,0.0009555244,0.0007451286,0.00001062525,0.0001623986,0.01780297,0.006968391,0.0009109308,0.8509252,0.1213929,0.00004151271],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.1063724,0.02084241,0.2210507,0.393042,0.001125259,0.0001473765,0.0000481583,0.0004962438,0.2568754],"genre_scores_gemma":[0.9385046,0.007413431,0.04076749,0.005275749,0.0004376234,0.0001492905,0.00002902688,0.00006912605,0.00735359],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.01453292,"threshold_uncertainty_score":0.06968009,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09821588948683878,"score_gpt":0.4308633034170294,"score_spread":0.3326474139301906,"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."}}