{"id":"W3198555274","doi":"10.1080/15391523.2021.1967817","title":"Students’ in-moment challenges and developing maker perspectives during problem-based digital making","year":2021,"lang":"en","type":"article","venue":"Journal of Research on Technology in Education","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Computational thinking; Computer science; Mathematics education; Block (permutation group theory); Moment (physics); Problem-based learning; Multimedia; Artificial intelligence; Mathematics","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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00153754,0.00006729926,0.0001259643,0.001763994,0.00009168988,0.0001914519,0.0004104884,0.00008133509,6.889204e-7],"category_scores_gemma":[0.0005179745,0.00006392772,0.00001844602,0.0007860581,0.00007291271,0.0002754666,0.0001769796,0.001014482,0.000001273316],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004707308,"about_ca_system_score_gemma":0.0005521001,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001889375,"about_ca_topic_score_gemma":0.000008728733,"domain_scores_codex":[0.998672,0.000182742,0.0002325566,0.0002296675,0.000427295,0.0002557418],"domain_scores_gemma":[0.999281,0.00014163,0.0001081633,0.0001719188,0.0002677223,0.0000296008],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.00001920811,0.0007521256,0.07016002,0.0000916819,0.00001568531,0.0001427331,0.01099508,0.0001001294,0.0001881585,0.0417078,0.000006158024,0.8758212],"study_design_scores_gemma":[0.002106319,0.00103358,0.7905422,0.006154027,0.000003822829,0.0007482148,0.1551999,0.0002106307,0.003045544,0.03021875,0.01031948,0.0004176144],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9580444,0.006334162,0.001841027,0.03348736,0.00009183298,0.00008953068,3.521844e-8,0.00002895305,0.00008269154],"genre_scores_gemma":[0.9688872,0.0005247561,0.03048955,0.00001277597,0.00002976893,0.00001459345,1.117949e-7,0.000005316737,0.00003593673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8754036,"threshold_uncertainty_score":0.4407476,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05169222031560299,"score_gpt":0.4183419806125469,"score_spread":0.3666497602969439,"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."}}