{"id":"W2522508585","doi":"","title":"Personalised-adaptive learning - an operational framework for developing competency-based curricula in computer information technology","year":2016,"lang":"en","type":"article","venue":"International Journal of Innovation and Learning","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Computer science; Adaptive learning; Curriculum; Knowledge management; Intersection (aeronautics); Conceptual framework; Adaptation (eye); Extant taxon; Artificial intelligence; Engineering; Pedagogy; Psychology","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001562329,0.00008617251,0.0001348985,0.0009603909,0.0002802861,0.0001297398,0.0001862214,0.000120656,0.00004636271],"category_scores_gemma":[0.00211663,0.00006956704,0.00002918892,0.0005492427,0.00009904762,0.001242081,0.00002245945,0.0004452595,0.000002739021],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000172816,"about_ca_system_score_gemma":0.0007873391,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001757464,"about_ca_topic_score_gemma":0.00002094776,"domain_scores_codex":[0.9986074,0.0001884278,0.0005481358,0.0001001692,0.0004049098,0.0001509723],"domain_scores_gemma":[0.9968944,0.0003748549,0.0005618489,0.00002600897,0.002112556,0.00003035871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00008876365,0.00002587893,0.04978401,0.000003715311,0.00002210546,0.000003410585,0.00177592,0.003733582,0.0001833338,0.6017923,0.00001677795,0.3425702],"study_design_scores_gemma":[0.01274132,0.002716436,0.06358159,0.004592634,0.00004900641,0.0001299557,0.05766039,0.1172758,0.001014169,0.1472899,0.591368,0.001580814],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3102044,0.00001388418,0.673193,0.01607664,0.0002939731,0.00007590954,0.000001555442,0.00002367192,0.0001169526],"genre_scores_gemma":[0.734777,0.00001675413,0.2643176,0.0004128461,0.0004244439,0.000004540079,0.00001631618,0.000005443618,0.00002503325],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.5913512,"threshold_uncertainty_score":0.2836862,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01999108619369614,"score_gpt":0.3388684498035459,"score_spread":0.3188773636098498,"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."}}