{"id":"W2015603874","doi":"10.2190/ryw7-eg6h-qu6v-8rec","title":"Dragon Play: Microworld Design in a Whole-Class Context","year":2002,"lang":"en","type":"article","venue":"Journal of Educational Computing Research","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Class (philosophy); Context (archaeology); Computer science; Mathematics education; Instructional design; Educational technology; Affect (linguistics); Context effect; Human–computer interaction; Sociology; Psychology; Multimedia; Artificial intelligence","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":[0.001802757,0.001485679,0.0005253159,0.0009379793,0.00221404,0.006621384,0.002841335,0.001245143,0.01420797],"category_scores_gemma":[0.002666798,0.0006364699,0.0005647434,0.0004715462,0.005355929,0.004069229,0.004447989,0.001469654,0.001118228],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001700591,"about_ca_system_score_gemma":0.001169908,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002033225,"about_ca_topic_score_gemma":0.00539697,"domain_scores_codex":[0.9979656,0.001332907,0.00004278399,0.0002645774,0.0001936031,0.0002005378],"domain_scores_gemma":[0.9985682,0.0005653513,0.00008481253,0.0003198698,0.0001028908,0.0003589909],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.0005755354,0.0009354,0.006182251,0.000897445,0.00008873671,0.001619547,0.06460289,0.02451879,0.02820309,0.6870757,0.01545004,0.1698506],"study_design_scores_gemma":[0.0003502945,0.001317363,0.004658496,0.0003917272,0.0001370348,0.001867703,0.04039882,0.06801178,0.01703302,0.2118094,0.6538135,0.0002109099],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1214305,0.0004125997,0.7864669,0.00200828,0.0003180134,0.001111303,0.0001752499,0.001513326,0.08656392],"genre_scores_gemma":[0.5366293,0.0002860857,0.4314982,0.0003085214,0.00003792087,0.001596442,0.0001843582,0.0004439198,0.02901528],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01420797,"threshold_uncertainty_score":0.04753035,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1375878738093202,"score_gpt":0.3900594099539973,"score_spread":0.2524715361446771,"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."}}