{"id":"W2756493786","doi":"10.5539/jel.v7n1p88","title":"Differentiated Instruction in a Calculus Curriculum for College Students in Taiwan","year":2017,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Educational Research and Pedagogy","field":"Computer Science","cited_by":29,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Ministry of Science and Technology, Taiwan","keywords":"Curriculum; Mathematics education; Calculus (dental); Differentiated instruction; Sample (material); Significant difference; Control (management); Diversity (politics); Teaching method; Psychology; Computer science; Mathematics; Pedagogy; Medicine; Chemistry; Sociology; Artificial intelligence","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0007036012,0.000286551,0.0003202937,0.0006590799,0.000798521,0.0006770091,0.0006047174,0.0003868301,0.001396473],"category_scores_gemma":[0.001606433,0.0002009909,0.0003320945,0.0004855484,0.000285854,0.0004567694,0.001237929,0.0006135742,0.0001584867],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008624935,"about_ca_system_score_gemma":0.002962947,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002522046,"about_ca_topic_score_gemma":0.006917055,"domain_scores_codex":[0.9996071,0.00005204551,0.00004404157,0.0001015141,0.00008912888,0.0001061501],"domain_scores_gemma":[0.9991748,0.0001166635,0.0001126166,0.00004456822,0.00008995543,0.0004614381],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.001735572,0.03097595,0.3279394,0.001507957,0.0001171539,0.001428093,0.01443008,0.001659705,0.08902843,0.001709719,0.002093185,0.5273749],"study_design_scores_gemma":[0.000912726,0.01605524,0.9392443,0.0004417779,0.0002476859,0.0006242343,0.008082048,0.00328781,0.02039807,0.001518077,0.009101483,0.00008647014],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9989327,0.000181501,0.000300374,0.0001088544,0.00001040706,0.00008737473,0.00001026312,0.000009237642,0.0003592965],"genre_scores_gemma":[0.9944431,0.0003154425,0.00377227,0.0001262234,0.00001092809,0.0001086118,0.00006687029,0.000002613303,0.001153933],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.002522046,"threshold_uncertainty_score":0.006257892,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03029053101966474,"score_gpt":0.4034455229310965,"score_spread":0.3731549919114318,"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."}}