{"id":"W4232313242","doi":"10.4018/9781931777926.ch012","title":"Employing Intelligent and Adaptive Methods for Online Learning","year":2011,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Context (archaeology); Mainstream; Online learning; Adaptive learning; Intelligent decision support system; World Wide Web; Intelligent tutoring system; Multimedia; Intelligent agent; Human–computer interaction; Knowledge management; 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":[0.0007175974,0.000673583,0.0003212895,0.0009792042,0.0004758087,0.003179626,0.001074763,0.001146971,0.0129832],"category_scores_gemma":[0.00157748,0.0002288663,0.0004195261,0.001127394,0.001551345,0.004015699,0.001275685,0.001745257,0.00486872],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006419164,"about_ca_system_score_gemma":0.0005804448,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004245789,"about_ca_topic_score_gemma":0.0007653729,"domain_scores_codex":[0.9994929,0.000157955,0.00002543594,0.00007736506,0.000221252,0.00002514674],"domain_scores_gemma":[0.9993559,0.0004608998,0.00001955396,0.00009708217,0.00004536142,0.00002119112],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00001420154,0.00008736773,0.0002488526,0.0008389618,0.00002201744,0.0001154806,0.001006233,0.004243289,0.002162363,0.4626075,0.02019119,0.5084625],"study_design_scores_gemma":[0.000009472611,0.00004748816,0.0004205162,0.0005166716,0.00001830413,0.000434858,0.0002348281,0.01007577,0.001752943,0.2348766,0.7515859,0.00002665369],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.005398637,0.06784494,0.4972571,0.002826032,0.001039575,0.0002392032,0.00009432591,0.001199541,0.4241006],"genre_scores_gemma":[0.1090549,0.09594933,0.4648018,0.002284192,0.001227068,0.0005399392,0.0003170248,0.0005312003,0.3252945],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.0129832,"threshold_uncertainty_score":0.04343313,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07825271299881505,"score_gpt":0.3301026142159402,"score_spread":0.2518499012171251,"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."}}