{"id":"W200711901","doi":"","title":"Making Intelligent Tutoring Systems Culturally-Aware: The use of Hofstede's Cultural Dimensions","year":2005,"lang":"en","type":"article","venue":"HAL (Le Centre pour la Communication Scientifique Directe)","topic":"Cultural Differences and Values","field":"Psychology","cited_by":27,"is_retracted":false,"has_abstract":true,"ca_institutions":"Computer Research Institute of Montréal; Université de Montréal","funders":"","keywords":"Hofstede's cultural dimensions theory; Collectivism; Meaning (existential); Cultural diversity; Psychology; Session (web analytics); Dimension (graph theory); Social psychology; Cultural system; Knowledge management; Individualism; Computer science; Sociology; World Wide Web; Social science; Mathematics","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":[0.006746858,0.0004468155,0.0002917634,0.001345303,0.0009288582,0.006589188,0.0006405227,0.0007290352,0.000891788],"category_scores_gemma":[0.03911885,0.0004308094,0.000387981,0.000666837,0.00271048,0.008063277,0.00307631,0.0008771372,0.0001521328],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009655098,"about_ca_system_score_gemma":0.001863465,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002831359,"about_ca_topic_score_gemma":0.003871097,"domain_scores_codex":[0.994017,0.004176732,0.0003178231,0.0003779979,0.000874968,0.0002355001],"domain_scores_gemma":[0.9793467,0.01266804,0.002697491,0.001933416,0.002590898,0.0007634741],"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":[0.0004542585,0.0008246687,0.1930026,0.0006866926,0.000412495,0.0005326204,0.1771773,0.02147596,0.0171161,0.07585522,0.001852317,0.5106097],"study_design_scores_gemma":[0.0001795833,0.001136373,0.1906471,0.001788815,0.0012598,0.001240834,0.3024406,0.1983734,0.04240615,0.2136596,0.04620151,0.0006662513],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8592175,0.0006128518,0.09890925,0.001573895,0.0000743553,0.0001656242,0.00004935552,0.0002440917,0.03915312],"genre_scores_gemma":[0.9822217,0.0001609007,0.01721081,0.00004222017,0.000005451805,0.00002193376,0.00001540389,0.00001425701,0.0003072709],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006746858,"threshold_uncertainty_score":0.03568125,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1392743970091193,"score_gpt":0.3384410157087868,"score_spread":0.1991666186996675,"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."}}