{"id":"W2495214259","doi":"10.4018/978-1-93177-792-6.ch012","title":"Employing Intelligent and Adaptive Methods for Online Learning","year":2004,"lang":"en","type":"book-chapter","venue":"IGI Global eBooks","topic":"Intelligent Tutoring Systems and Adaptive Learning","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Context (archaeology); Adaptive learning; Intelligent decision support system; Mainstream; Online learning; Intelligent tutoring system; Intelligent agent; Human–computer interaction; Artificial intelligence; Multimedia; Knowledge management","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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.0005773958,0.0005868984,0.0006903145,0.0001306887,0.0003230931,0.00027418,0.0006547687,0.0003850253,0.000006106754],"category_scores_gemma":[0.00009900848,0.0005755905,0.000305662,0.00002898054,0.00007866192,0.0001142281,0.0005077028,0.000674631,0.00002751667],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004942648,"about_ca_system_score_gemma":0.0002122322,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001078804,"about_ca_topic_score_gemma":0.00001469224,"domain_scores_codex":[0.9975305,0.00008402717,0.0005860029,0.0009748384,0.0002992791,0.0005253318],"domain_scores_gemma":[0.9983712,0.0002447243,0.0004431779,0.0004393094,0.0002986552,0.0002029567],"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":[0.00001413092,0.000006314759,0.000004941917,0.00004874463,0.0001091671,0.00001744495,0.000301648,0.0003370854,0.0000226856,0.8192605,0.00001733238,0.17986],"study_design_scores_gemma":[0.0003651923,0.0007200826,0.00001608586,0.001422579,0.00007923319,0.00009686433,0.00007436726,0.004104542,0.0002828994,0.5719507,0.4198602,0.001027237],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00002018908,0.001116512,0.7659997,0.0000412777,0.0007315256,0.000521669,0.00001624836,0.000275811,0.2312771],"genre_scores_gemma":[0.01337442,0.00002749607,0.6445318,0.000260817,0.0008235262,0.00004636736,0.000006289036,0.0001156225,0.3408136],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.4198429,"threshold_uncertainty_score":0.9996696,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05590225247501774,"score_gpt":0.3323159742103834,"score_spread":0.2764137217353657,"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."}}