{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002010456,0.0000825266,0.0001216792,0.0009924545,0.00003623004,0.000007365143,0.0002485017,0.0000822989,0.00001602117],"category_scores_gemma":[0.0000188117,0.00008582029,0.000008985902,0.0005479215,0.0002316214,0.0001689787,0.00009284054,0.0001403085,0.00000576562],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001636211,"about_ca_system_score_gemma":0.00007364184,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":9.368633e-7,"about_ca_topic_score_gemma":0.0000161769,"domain_scores_codex":[0.999189,0.00004703662,0.0002387411,0.0003149736,0.00007553683,0.0001347769],"domain_scores_gemma":[0.9995536,0.0001238361,0.00008051864,0.0001764697,0.00004344961,0.00002208151],"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":[0.000002107514,0.0001863115,0.003288527,0.00001574069,0.000004683438,9.146617e-7,0.0003566518,0.00003963318,0.000007668763,0.7077692,0.00002624779,0.2883023],"study_design_scores_gemma":[0.00004413707,0.00004744562,0.1574731,0.00003318745,0.000001937726,0.000009034054,0.001120888,0.0001515772,0.000009589043,0.837176,0.003860909,0.00007215772],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1657577,0.04730963,0.001287702,0.7676023,0.001896636,0.0002398804,0.000002563726,0.00007230586,0.01583129],"genre_scores_gemma":[0.9461423,0.04102268,0.01132726,0.0003972136,0.00007373981,0.00009856487,0.00001019193,0.000004132033,0.0009239476],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7803846,"threshold_uncertainty_score":0.349965,"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."}}