{"id":"W2539007623","doi":"10.1109/blocks.2015.7368993","title":"Measuring learning in an open-ended, constructionist-based progamming camp: Developing a set of quantitative measures from qualitative analysis","year":2015,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"","keywords":"Constructionism; Computer science; Quantitative analysis (chemistry); Strict constructionism; Qualitative analysis; Set (abstract data type); Variety (cybernetics); Exploratory analysis; Qualitative property; Qualitative research; Data science; Artificial intelligence; Machine learning; Sociology; Epistemology; Social science","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":[0.05379787,0.0006320655,0.0005590671,0.005197919,0.001885604,0.004173666,0.001551944,0.0008527482,0.001719123],"category_scores_gemma":[0.1346586,0.0004031941,0.0005456874,0.003386109,0.00523157,0.005546868,0.005030645,0.001785724,0.0004603178],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003448537,"about_ca_system_score_gemma":0.004002064,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00157239,"about_ca_topic_score_gemma":0.002204055,"domain_scores_codex":[0.9561796,0.03192463,0.002618561,0.001667463,0.00692808,0.000681604],"domain_scores_gemma":[0.7939816,0.152369,0.01324693,0.01093698,0.02752577,0.001939797],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003533092,0.001148704,0.1200643,0.003239795,0.0002182579,0.000309271,0.4430035,0.005450902,0.02592146,0.07451977,0.003127419,0.3226433],"study_design_scores_gemma":[0.0001865089,0.002054368,0.1603193,0.002826348,0.0001650402,0.000809597,0.5130811,0.03049963,0.061393,0.1728903,0.05529673,0.0004780751],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3715856,0.0002068445,0.5976391,0.001487498,0.00008225651,0.004344998,0.001123424,0.0003022066,0.02322807],"genre_scores_gemma":[0.760865,0.0001446004,0.228911,0.0003427987,0.0000143982,0.007239882,0.0004754091,0.00008186096,0.001924962],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.05379787,"threshold_uncertainty_score":0.2845137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.2318752567808564,"score_gpt":0.4019091127186281,"score_spread":0.1700338559377717,"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."}}