{"id":"W4391567262","doi":"10.1080/08993408.2024.2313913","title":"Balancing teachers’ needs in times of crisis: investigating how computer science instructional coaches and teachers navigated remote professional development during COVID-19","year":2024,"lang":"en","type":"article","venue":"Computer Science Education","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"Learning Partnership","funders":"National Science Foundation","keywords":"Coronavirus disease 2019 (COVID-19); Professional development; Computer science; Faculty development; 2019-20 coronavirus outbreak; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); Mathematics education; Instructional design; Medical education; Psychology; Multimedia; Pedagogy; Medicine; Virology","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.003720814,0.0001313229,0.0001440407,0.0008506373,0.001477132,0.0004956091,0.0004426449,0.00006572384,0.000009765874],"category_scores_gemma":[0.0003875168,0.0001257473,0.00002217466,0.002972151,0.001535175,0.001465738,0.0002249069,0.0003665652,0.000002384364],"about_ca_system_candidate":true,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007443889,"about_ca_system_score_gemma":0.0184725,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003520328,"about_ca_topic_score_gemma":0.00006907769,"domain_scores_codex":[0.9977989,0.0001797163,0.0002812843,0.0005214227,0.000820495,0.0003981684],"domain_scores_gemma":[0.9991255,0.0001286532,0.0001284605,0.0001288877,0.0001784506,0.0003100865],"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":[0.00000265573,0.00008992637,0.06541709,0.0001420276,0.000009488846,0.000002257263,0.3929466,0.001489091,0.005948231,0.003679498,0.0003215426,0.5299516],"study_design_scores_gemma":[0.0009515394,0.0001362584,0.415253,0.003733582,0.00003387914,0.00010776,0.2608394,0.2805512,0.01086717,0.005689108,0.02038704,0.001450104],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9847251,0.0001232731,0.005609932,0.007112175,0.002072429,0.0001865723,4.974711e-7,0.00009316501,0.00007691002],"genre_scores_gemma":[0.8663554,0.000005283205,0.1329462,0.0001528654,0.0003709475,0.000004317892,0.000003923355,0.000006187798,0.0001549133],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5285015,"threshold_uncertainty_score":0.9998228,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02559571341995518,"score_gpt":0.338007615320389,"score_spread":0.3124119019004338,"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."}}