{"id":"W2216258533","doi":"","title":"Development of an Intelligent Tutorial System to Enhance Students’ Mathematical Competence in Problem Solving","year":2005,"lang":"en","type":"article","venue":"E-Learn: World Conference on E-Learning in Corporate, Government, Healthcare, and Higher Education","topic":"Mathematics Education and Pedagogy","field":"Mathematics","cited_by":10,"is_retracted":false,"has_abstract":false,"ca_institutions":"Université de Montréal","funders":"","keywords":"Competence (human resources); Computer science; Problem-based learning; Mathematics education; Human–computer interaction; Management science; Artificial intelligence; Engineering; Psychology; Social 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0006025456,0.0005498616,0.0003906378,0.0005222826,0.0002174886,0.0005263384,0.001195354,0.0007332094,0.005736096],"category_scores_gemma":[0.002414563,0.0002864245,0.0002669643,0.0001494668,0.00009634025,0.0009460809,0.0004662781,0.0005085643,0.001502135],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001877423,"about_ca_system_score_gemma":0.0005414957,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008802526,"about_ca_topic_score_gemma":0.0008796637,"domain_scores_codex":[0.9998234,0.00003507434,0.00001880229,0.00005963002,0.00004672555,0.00001639],"domain_scores_gemma":[0.9991586,0.0003594846,0.00004078681,0.00006800983,0.0002809493,0.00009216643],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.0007090948,0.002515955,0.006122721,0.0003840504,0.0001027067,0.0005257914,0.0006045802,0.0063482,0.1857634,0.001463245,0.01172352,0.7837368],"study_design_scores_gemma":[0.0008531476,0.003663702,0.01909894,0.0001402828,0.0005260265,0.001580036,0.0002597845,0.552994,0.3659245,0.00133582,0.05347675,0.0001469935],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.2881119,0.0002704232,0.6528964,0.0003416829,0.0002801302,0.00127526,0.0004278421,0.04801035,0.008386017],"genre_scores_gemma":[0.334204,0.0001989639,0.6502244,0.0002111119,0.00004387344,0.000918313,0.001027607,0.0006213072,0.01255055],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.005736096,"threshold_uncertainty_score":0.01918912,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1136888263366982,"score_gpt":0.387536390925537,"score_spread":0.2738475645888389,"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."}}