{"id":"W1540464788","doi":"","title":"The Learner as Teacher: Using Student Authored Comics to “Teach” Mathematics Concepts","year":2009,"lang":"en","type":"article","venue":"EdMedia: World Conference on Educational Media and Technology","topic":"Comics and Graphic Narratives","field":"Arts and Humanities","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"","keywords":"Comics; Constructive; Literacy; Mathematics education; Representation (politics); Pedagogy; Computer science; Multimedia; Sociology; Process (computing); Psychology; Political science; 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":[0.00240663,0.0007604604,0.0002746701,0.0008439305,0.001442115,0.003832032,0.001130307,0.001522796,0.009986563],"category_scores_gemma":[0.0118178,0.0003462244,0.000381499,0.0003427115,0.001889978,0.005150347,0.003504161,0.001368728,0.004579186],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005510886,"about_ca_system_score_gemma":0.0007973562,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0002208082,"about_ca_topic_score_gemma":0.0006056028,"domain_scores_codex":[0.9979671,0.00140612,0.00005229892,0.0001964099,0.0002917284,0.00008638232],"domain_scores_gemma":[0.9941971,0.003540425,0.0004058229,0.0008124407,0.000513992,0.0005301809],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0005330885,0.003035803,0.01571417,0.001219356,0.0000503978,0.003966148,0.3498227,0.001081321,0.0570826,0.03605164,0.04186656,0.4895763],"study_design_scores_gemma":[0.0004058899,0.003458039,0.006925936,0.001014057,0.0001859901,0.01398076,0.1456464,0.01871003,0.09416858,0.01894567,0.6963556,0.0002030631],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.4860413,0.0007046952,0.3247229,0.008238143,0.0006320164,0.0006278786,0.0002306472,0.007197419,0.171605],"genre_scores_gemma":[0.7692528,0.001066454,0.1337409,0.001303266,0.000143769,0.000429921,0.0003244093,0.001194609,0.09254384],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009986563,"threshold_uncertainty_score":0.03340834,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05435421177306886,"score_gpt":0.3293495868789836,"score_spread":0.2749953751059148,"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."}}