{"id":"W3209929967","doi":"10.5539/ies.v14n11p94","title":"A Common Framework for Artificial Intelligence in Higher Education (AAI-HE Model)","year":2021,"lang":"en","type":"article","venue":"International Education Studies","topic":"Edcuational Technology Systems","field":"Computer Science","cited_by":33,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Artificial intelligence; Nonprobability sampling; Sample (material); Higher education; Process (computing); Sampling (signal processing); Computer science; Machine learning; Psychology","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":[0.0002681768,0.0001380676,0.0001892685,0.000289527,0.0001023208,0.0001114362,0.0006540618,0.0001094393,0.00003388745],"category_scores_gemma":[0.0009453045,0.0001475328,0.00006457015,0.000497076,0.00006639697,0.0004065617,0.0002022835,0.0001685777,0.00004782215],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003460948,"about_ca_system_score_gemma":0.0008667139,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002053543,"about_ca_topic_score_gemma":0.00007031942,"domain_scores_codex":[0.9985529,0.00004923922,0.0004839796,0.0004401574,0.0003080358,0.0001657443],"domain_scores_gemma":[0.9970183,0.0004469521,0.0001814551,0.0003786054,0.001939311,0.00003531258],"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":[0.000004583611,0.0003528974,0.0008871563,0.00001631734,0.000056125,5.202927e-7,0.0007121732,0.0006655907,0.00008047349,0.9469659,0.003349717,0.04690855],"study_design_scores_gemma":[0.00003563148,0.00001320821,0.001122045,0.0001501823,0.00000680343,0.000009167015,0.001311405,0.0218833,0.00122837,0.9634901,0.01059241,0.00015736],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.01841894,0.003879263,0.8349761,0.1181435,0.02054216,0.000441385,0.00001237414,0.0001876023,0.003398637],"genre_scores_gemma":[0.7425066,0.0001057674,0.2494841,0.00198271,0.0004730831,0.0007798544,0.00003191412,0.00001116949,0.004624849],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.7240877,"threshold_uncertainty_score":0.6016213,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1947165423624631,"score_gpt":0.4492977748515288,"score_spread":0.2545812324890657,"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."}}