{"id":"W2102230131","doi":"10.24908/pceea.v0i0.3138","title":"Introducing Computer Programming With Lego Robotics","year":2010,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Experimental Learning in Engineering","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Queen's University","funders":"","keywords":"Robotics; Curriculum; Computer programming; Computer science; Set (abstract data type); Software engineering; Mathematics education; Artificial intelligence; Robot; Programming language; Pedagogy; Mathematics; Psychology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0002660691,0.0002109427,0.0001782514,0.0002581406,0.0001310023,0.000157926,0.0003175772,0.0001633528,0.00001520328],"category_scores_gemma":[0.000206319,0.0002041608,0.00005959076,0.0005144028,0.00002070113,0.000260372,0.00002470938,0.0006421134,0.00000848032],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00112303,"about_ca_system_score_gemma":0.000191318,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0009003987,"about_ca_topic_score_gemma":0.002414473,"domain_scores_codex":[0.9988472,0.000002393485,0.000251921,0.0001898005,0.0002976622,0.0004110603],"domain_scores_gemma":[0.9991909,0.00003457634,0.0001272822,0.0001450979,0.0002952288,0.0002068806],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000002127403,0.00005667131,0.07056947,0.0005013904,0.0002201996,3.041051e-7,0.001903523,0.8350049,0.06610548,0.01166247,0.009044707,0.004928743],"study_design_scores_gemma":[0.0009610115,0.0001255698,0.139457,0.0009075531,0.0002161653,0.00008919941,0.0006837292,0.5369114,0.06734264,0.00007880765,0.2509611,0.002265873],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9780364,0.0001383215,0.00226777,0.002213459,0.009192189,0.0009290786,0.0000114082,0.001131114,0.006080273],"genre_scores_gemma":[0.9316247,0.000002213174,0.06729522,0.00004454605,0.0005563857,0.00004804463,0.000006112477,0.00008842438,0.0003343207],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2980936,"threshold_uncertainty_score":0.8325437,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.001928381902577415,"score_gpt":0.1694796260880149,"score_spread":0.1675512441854375,"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."}}