{"id":"W3205371606","doi":"10.5539/ass.v17n11p122","title":"Exploring Teachers’ Practices in Teaching Robotics Programming in Primary School","year":2021,"lang":"en","type":"article","venue":"Asian Social Science","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robotics; Artificial intelligence; Educational robotics; Curriculum; Computer science; Robot; Mathematics education; Sociology; Psychology; Pedagogy","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":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004459462,0.00016547,0.0002240612,0.0003168723,0.0007793205,0.00110489,0.001278,0.00006886903,0.000002023321],"category_scores_gemma":[0.002604699,0.0001832146,0.00005775348,0.002384778,0.0001938517,0.003913701,0.0005759433,0.001415134,0.00001587631],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005828428,"about_ca_system_score_gemma":0.0007880098,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003116591,"about_ca_topic_score_gemma":0.0001196201,"domain_scores_codex":[0.9968227,0.0004677184,0.0003402421,0.0008008558,0.0007234149,0.000845102],"domain_scores_gemma":[0.9990024,0.0001349465,0.0002806161,0.0003585214,0.00005735033,0.0001661417],"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":[0.000001214352,0.0001186254,0.02388369,0.00001065212,0.000002048308,0.000111495,0.03279324,0.00004702111,0.0004649308,0.01149532,0.000005254914,0.9310665],"study_design_scores_gemma":[0.0008177852,0.00008570067,0.9315757,0.0003046337,0.000008444275,0.00006757516,0.02450358,0.0009961863,0.0001942941,0.0006950943,0.03989276,0.000858208],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6162037,0.0007006709,0.1637508,0.02699406,0.002529304,0.0009591997,5.709941e-7,0.001626384,0.1872353],"genre_scores_gemma":[0.7916206,0.000005587369,0.2079741,0.0001365936,0.0001242244,0.00002841856,7.769295e-7,0.00001007731,0.00009963925],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9302083,"threshold_uncertainty_score":0.9999321,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08361732292549058,"score_gpt":0.3282205452867925,"score_spread":0.2446032223613019,"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."}}