{"id":"W4323536388","doi":"10.53761/1.20.3.07","title":"“We learn things to solve real-life problems”: Understanding how nature of engineering beliefs situate developing pedagogical content knowledge in a modular engineering education professional development program","year":2023,"lang":"en","type":"article","venue":"Journal of University Teaching and Learning Practice","topic":"Evaluation of Teaching Practices","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"University of Alberta","keywords":"Engineering education; Discipline; Professional development; Scholarship; Scholarship of Teaching and Learning; Pedagogy; Thematic analysis; Mathematics education; Teaching method; Qualitative research; Psychology; Engineering ethics; Sociology; Engineering; Teaching and learning center","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":["metaresearch","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.01377737,0.0001528682,0.0002747792,0.0007825624,0.0009097815,0.0001411033,0.0002511912,0.0001880348,0.000002763411],"category_scores_gemma":[0.01911367,0.0001590055,0.00005858026,0.0005670346,0.0000340853,0.001929685,0.0001451482,0.002932873,0.000002305457],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008549761,"about_ca_system_score_gemma":0.001369306,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003124933,"about_ca_topic_score_gemma":0.00006614337,"domain_scores_codex":[0.9970807,0.001386936,0.0003453692,0.0002196292,0.0006642245,0.0003031355],"domain_scores_gemma":[0.9960068,0.002677441,0.000715612,0.00006691505,0.0003276897,0.0002055816],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0003172395,0.0006832012,0.003774815,0.0005798862,0.0002910826,0.00005776738,0.8518731,0.04958445,0.002142517,0.06179371,0.000373681,0.02852854],"study_design_scores_gemma":[0.000752997,0.0002503998,0.01304362,0.002787554,0.00009434744,0.00002814874,0.5463947,0.006395115,0.00001913387,0.00003686474,0.4298213,0.0003757883],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9403881,0.0003039644,0.01592845,0.04119331,0.0006922162,0.0004150105,2.705563e-7,0.0001609936,0.0009177072],"genre_scores_gemma":[0.9244135,0.0003913002,0.0726284,0.0000593874,0.000128957,0.000001890198,0.00000273719,0.00001875584,0.002355076],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4294477,"threshold_uncertainty_score":0.9993674,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1665210292604182,"score_gpt":0.4060577471623326,"score_spread":0.2395367179019143,"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."}}