{"id":"W4410967498","doi":"10.21083/ajote.v14i1.8013","title":"Teachers’ preparedness for implementing the Educational Coding and Robotics curriculum in South Africa","year":2025,"lang":"en","type":"article","venue":"African Journal of Teacher Education","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Preparedness; Coding (social sciences); Curriculum; Robotics; Artificial intelligence; Mathematics education; Computer science; Engineering; Pedagogy; Sociology; Political science; Psychology; Robot; Social science; Law","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001442464,0.00009970307,0.0001476084,0.0002686472,0.0002360051,0.0002674903,0.0005381916,0.00003288982,0.00001264401],"category_scores_gemma":[0.0004904407,0.00007843638,0.00005544192,0.0005308512,0.0000365716,0.0004262375,0.00009196032,0.0002649348,0.000001171315],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001948097,"about_ca_system_score_gemma":0.001280411,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00002038921,"about_ca_topic_score_gemma":0.000008294676,"domain_scores_codex":[0.9988637,0.0001688075,0.0004184915,0.0001741305,0.00015437,0.0002205159],"domain_scores_gemma":[0.9988831,0.000213086,0.0004043353,0.0001721173,0.0002609041,0.00006641851],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00001426384,0.001113512,0.2373993,0.00006157153,0.00008189587,3.105308e-7,0.3992904,0.0005493714,0.0002375947,0.2818809,0.01952893,0.05984208],"study_design_scores_gemma":[0.001119738,0.000171246,0.126021,0.0003864416,0.0001233585,0.00004500139,0.7683856,0.00757196,0.00006590503,0.01656431,0.07910818,0.0004371947],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7626989,0.002635319,0.09836088,0.0897866,0.0054994,0.001289052,0.000001852878,0.00005185073,0.03967617],"genre_scores_gemma":[0.9771835,0.000007931549,0.02070204,0.0001087999,0.0001912445,0.00003452591,0.000001725374,0.000005955453,0.001764244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3690953,"threshold_uncertainty_score":0.3198543,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02205374897845844,"score_gpt":0.3156974506034355,"score_spread":0.293643701624977,"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."}}