{"id":"W2476708502","doi":"10.1145/2930674.2930725","title":"Studying situated learning in a constructionist programming camp","year":2016,"lang":"en","type":"article","venue":"","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"National Science Foundation","keywords":"Situated; Strict constructionism; Constructionism; Documentation; Computer science; Situated learning; Artifact (error); Coding (social sciences); Scratch; Observational study; Exploit; Data science; Artificial intelligence; Mathematics education; Psychology; Epistemology; Sociology; Programming language","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":[0.003692897,0.000471032,0.0004936226,0.001656344,0.004242473,0.005440661,0.002131899,0.001363827,0.00307398],"category_scores_gemma":[0.01051275,0.0004772084,0.0003455454,0.001070983,0.01596772,0.004016822,0.008294779,0.002986545,0.0005246206],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.002390377,"about_ca_system_score_gemma":0.002084777,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003216912,"about_ca_topic_score_gemma":0.008839264,"domain_scores_codex":[0.9969519,0.001748721,0.00008319158,0.0004944654,0.0004232114,0.0002983999],"domain_scores_gemma":[0.9909329,0.006252614,0.0008029706,0.0008899588,0.0003419114,0.0007797479],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00007792538,0.0007431357,0.04804326,0.0002500296,0.00003104112,0.00354186,0.8438547,0.004730522,0.005493046,0.05032585,0.001014498,0.04189419],"study_design_scores_gemma":[0.00003024735,0.0005109121,0.03524683,0.0003157551,0.00002099159,0.002906127,0.8459613,0.007001562,0.005005906,0.06398315,0.03892497,0.0000922176],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9695631,0.000126111,0.01530072,0.0009639233,0.00001260541,0.00007641327,0.00003936721,0.00004702247,0.01387067],"genre_scores_gemma":[0.9892501,0.0001063159,0.008439623,0.0000521877,0.000004603966,0.00006580875,0.00002481597,0.00002100275,0.002035613],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005440661,"threshold_uncertainty_score":0.01953012,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01711580143195026,"score_gpt":0.2482042891737154,"score_spread":0.2310884877417652,"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."}}