{"id":"W4207049143","doi":"10.1007/s10649-021-10133-1","title":"Development and evolution of instrumented schemes: a case study of learning programming for mathematical investigations","year":2022,"lang":"en","type":"article","venue":"Educational Studies in Mathematics","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"Brock University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Constructive; Perspective (graphical); Computer science; Frame (networking); Scheme (mathematics); Mathematics education; Workload; Management science; Artificial intelligence; Mathematics; Programming language; Process (computing); Engineering","routes":{"ca_aff":true,"ca_fund":true,"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":[0.004399595,0.0003264071,0.0002989803,0.0008260231,0.00275025,0.002745803,0.00209455,0.002620106,0.003682258],"category_scores_gemma":[0.02034433,0.0003655156,0.0004080634,0.0009078273,0.003373108,0.003214746,0.003079233,0.002006782,0.0005229628],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001853675,"about_ca_system_score_gemma":0.001736854,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003194689,"about_ca_topic_score_gemma":0.005157152,"domain_scores_codex":[0.9967564,0.002040124,0.00009884251,0.000218297,0.000595269,0.0002910109],"domain_scores_gemma":[0.9852726,0.01008516,0.0006976823,0.002045786,0.0008964255,0.001002377],"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":[0.001046947,0.00540492,0.06414384,0.0007321744,0.00007469559,0.02455152,0.2515212,0.04418151,0.02054811,0.2638657,0.005567532,0.3183619],"study_design_scores_gemma":[0.0004389641,0.004909514,0.05410581,0.0009193842,0.0001790475,0.0209073,0.1905366,0.2425994,0.09895954,0.1283771,0.2576467,0.0004206017],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9496903,0.00009902952,0.02952463,0.0009073815,0.00001480992,0.0002185734,0.00007068976,0.000116181,0.01935828],"genre_scores_gemma":[0.9529316,0.0001187032,0.03789268,0.00005104932,0.000003066619,0.00006805879,0.00005645038,0.00005748356,0.008821033],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.004399595,"threshold_uncertainty_score":0.02326757,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09037416637368055,"score_gpt":0.3616027634885973,"score_spread":0.2712285971149168,"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."}}