{"id":"W4207009873","doi":"10.1007/s12528-021-09305-y","title":"A scoping review of computational thinking assessments in higher education","year":2022,"lang":"en","type":"review","venue":"Journal of Computing in Higher Education","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":86,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of Alberta","funders":"Killam Trusts; Canadian Network for Research and Innovation in Machining Technology, Natural Sciences and Engineering Research Council of Canada; Federation for the Humanities and Social Sciences","keywords":"Computational thinking; Likert scale; Empirical research; Critical thinking; Higher education; Psychological intervention; Computer science; Mathematics education; Class (philosophy); Domain (mathematical analysis); Medical education; Psychology; Knowledge management; Medicine; Artificial intelligence; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"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":["metaepi_narrow"],"consensus_categories":[],"category_scores_codex":[0.004073362,0.0003176921,0.001439054,0.001224294,0.0001213325,0.0001635332,0.001363952,0.0001358695,0.0001410035],"category_scores_gemma":[0.0001400167,0.0003083052,0.0003456431,0.001646349,0.00002348213,0.0004419376,0.0002725253,0.001545216,0.000002910287],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008769314,"about_ca_system_score_gemma":0.005756985,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003324644,"about_ca_topic_score_gemma":6.564438e-7,"domain_scores_codex":[0.9945859,0.001488697,0.00234986,0.0003928469,0.0008950867,0.000287603],"domain_scores_gemma":[0.9943243,0.0009582576,0.004033443,0.0003723832,0.0002301432,0.00008152747],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"systematic_review","study_design_scores_codex":[0.000001166226,0.0005010298,0.0002831954,0.06054924,0.00003089794,0.000003684568,0.0004282773,0.001015504,2.036349e-8,0.002863155,0.0002551439,0.9340687],"study_design_scores_gemma":[0.0001327375,0.00007304405,0.001709881,0.5394923,0.00007651298,0.00008641845,0.0000173712,0.00007559195,2.007148e-8,0.0003713886,0.4577225,0.0002422231],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"review","genre_gemma":"review","genre_scores_codex":[0.00004564036,0.989598,0.002572484,0.0004431547,0.006333345,0.000584019,3.307455e-7,0.00002849135,0.0003945329],"genre_scores_gemma":[0.0005331141,0.8951426,0.1028115,0.0004247631,0.0007199661,0.00003596904,0.00003602137,0.00004086979,0.0002552249],"genre_candidate":"review","genre_consensus":"review","teacher_disagreement_score":0.9338264,"threshold_uncertainty_score":0.9999369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1334610626915267,"score_gpt":0.4568294880976183,"score_spread":0.3233684254060916,"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."}}