{"id":"W4414862395","doi":"10.1007/978-981-96-5265-5_33","title":"AISCliteracy: Assessing AI and Cybersecurity Literacy Levels and Learning Needs of Students","year":2025,"lang":"en","type":"book-chapter","venue":"Algorithms for intelligent systems","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":false,"ca_institutions":"Sault College","funders":"","keywords":"Literacy; Perspective (graphical); Survey data collection; Computer literacy; Applications of artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0005640488,0.0004902116,0.0003537322,0.001400566,0.0004697668,0.00208165,0.0006033056,0.0005325952,0.008399745],"category_scores_gemma":[0.003087604,0.0002556966,0.0003345155,0.0008664899,0.000335641,0.001625173,0.001066995,0.0009287264,0.003483956],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006190139,"about_ca_system_score_gemma":0.001190213,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003197666,"about_ca_topic_score_gemma":0.007785032,"domain_scores_codex":[0.9996125,0.00005729057,0.00002693573,0.00004998502,0.0002007898,0.0000525613],"domain_scores_gemma":[0.9981766,0.0006391177,0.0002888537,0.00005202022,0.0004736244,0.0003698265],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0002369446,0.002355034,0.4478825,0.0002586043,0.00005633749,0.0002988241,0.00670492,0.0007054262,0.002624943,0.003260355,0.03800356,0.4976126],"study_design_scores_gemma":[0.00006051673,0.001242444,0.9180503,0.0005164311,0.0001037748,0.0009342222,0.00917375,0.004452861,0.009310247,0.007246504,0.04883181,0.00007704467],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8858469,0.0009444523,0.002885547,0.001175746,0.0001450762,0.0002556132,0.001216367,0.0003298445,0.1072006],"genre_scores_gemma":[0.8827735,0.001462225,0.01239705,0.0003381596,0.00006911491,0.000617828,0.002659334,0.00008528629,0.09959745],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.008399745,"threshold_uncertainty_score":0.02809995,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02947377620475927,"score_gpt":0.3458804943609078,"score_spread":0.3164067181561486,"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."}}