{"id":"W4402192099","doi":"10.1002/tl.20632","title":"Understanding the interconnection between assessment of student learning and generative artificial intelligence","year":2024,"lang":"en","type":"article","venue":"New Directions for Teaching and Learning","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Generative grammar; Interconnection; Mathematics education; Psychology; Artificial intelligence; Computer science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts"],"consensus_categories":[],"category_scores_codex":[0.001585878,0.0001104973,0.0001463875,0.000179117,0.001331183,0.0004551147,0.0001116683,0.0000447518,0.00000177714],"category_scores_gemma":[0.0002673745,0.00008582682,0.00005956282,0.0002172165,0.00005938336,0.0002064571,0.00009324567,0.001166464,5.489725e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007417072,"about_ca_system_score_gemma":0.00005065299,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007112668,"about_ca_topic_score_gemma":0.00001561938,"domain_scores_codex":[0.9988196,0.0003966556,0.0002002321,0.0002981763,0.0001356286,0.0001496987],"domain_scores_gemma":[0.9984776,0.001289676,0.00007809364,0.00007754266,0.00002504249,0.00005205523],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002375409,0.00002408343,0.009865335,0.00005515206,0.0001571709,0.000001176149,0.02021719,0.02286779,0.0005668177,0.2679338,0.00004841466,0.6782606],"study_design_scores_gemma":[0.00005657496,0.0003621189,0.001325316,0.0001995872,0.00007772033,0.00001333478,0.0136692,0.9603631,0.00008660233,0.01354841,0.01013815,0.0001598364],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05435922,0.0003326643,0.9405486,0.003786193,0.0002592939,0.00009007912,5.212329e-7,0.0001974,0.0004260515],"genre_scores_gemma":[0.9769306,0.00006444693,0.02166907,0.00001114859,0.0002833278,0.000005646775,0.000002821758,0.00001137606,0.001021566],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9374954,"threshold_uncertainty_score":0.9999689,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09075315719843909,"score_gpt":0.3936143528338806,"score_spread":0.3028611956354415,"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."}}