{"id":"W4405977982","doi":"10.33423/jhetp.v24i11.7449","title":"Understanding Professional Learning Practices of Engineering Educators: Insights From the SPARK-ENG Program","year":2024,"lang":"en","type":"article","venue":"Journal of Higher Education Theory and Practice","topic":"Engineering Education and Curriculum Development","field":"Engineering","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"SPARK (programming language); Engineering ethics; Psychology; Engineering; Medical education; Materials science; Engineering management; Mathematics education; Engineering physics; Medicine; Computer science; Programming language","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":[],"consensus_categories":[],"category_scores_codex":[0.001075491,0.0001283055,0.0001345509,0.0001388416,0.00007797674,0.000143502,0.0001225392,0.0000627628,0.000124268],"category_scores_gemma":[0.0008334035,0.00008961464,0.00004551063,0.0002923735,0.00002676628,0.0008443041,0.00001562591,0.0005935706,0.000005351598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000117249,"about_ca_system_score_gemma":0.0003081182,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000003196004,"about_ca_topic_score_gemma":3.099279e-7,"domain_scores_codex":[0.9989823,0.0002436732,0.0003586026,0.00009608645,0.0002152284,0.0001040959],"domain_scores_gemma":[0.9957876,0.003646103,0.0002831284,0.00008958299,0.0001138913,0.00007975516],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003868537,0.001554588,0.001609763,0.001888991,0.002754304,0.00003622677,0.07007679,0.0246894,0.01181521,0.7753559,0.06623731,0.04359462],"study_design_scores_gemma":[0.0001611874,0.00008373422,0.006422738,0.001190086,0.0002760324,0.0002404804,0.02229293,0.0007906464,0.0006049273,0.005510474,0.9621695,0.0002572956],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7681012,0.1408867,0.01320139,0.01348183,0.04963854,0.0007954287,0.000006383311,0.0005674246,0.01332119],"genre_scores_gemma":[0.9946043,0.0006989262,0.003188884,0.00008442171,0.000784287,0.00001751382,0.000004446815,0.0000262509,0.0005909516],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8959321,"threshold_uncertainty_score":0.3654379,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03246742011959599,"score_gpt":0.3327843075667158,"score_spread":0.3003168874471199,"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."}}