{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004639635,0.0002810409,0.0006239393,0.002089191,0.003525208,0.003376629,0.001299846,0.001449816,0.00244808],"category_scores_gemma":[0.01650833,0.0008595429,0.0005178096,0.001068495,0.003245118,0.002240338,0.002677768,0.001872446,0.0008532957],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003068884,"about_ca_system_score_gemma":0.005562266,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.009126051,"about_ca_topic_score_gemma":0.01708721,"domain_scores_codex":[0.9952291,0.001677677,0.000267881,0.000654279,0.001322665,0.0008483408],"domain_scores_gemma":[0.9853221,0.005962662,0.002476734,0.0004381809,0.002571605,0.00322866],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0000480022,0.0005192501,0.07664102,0.0006167676,0.00001140067,0.002435697,0.8755172,0.0001883063,0.004879494,0.0007862988,0.00143245,0.03692403],"study_design_scores_gemma":[0.00001567462,0.0004271987,0.06033844,0.0009717364,0.00002499335,0.001638038,0.8946019,0.0003870479,0.001756772,0.0004479844,0.03932909,0.0000611664],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923565,0.0006892701,0.001329933,0.001314039,0.0000341775,0.00006976827,0.00003407616,0.00003639579,0.004135781],"genre_scores_gemma":[0.9926772,0.001220834,0.001685151,0.0004894826,0.00000869637,0.00008415771,0.00003366615,0.00001872748,0.003782159],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.009126051,"threshold_uncertainty_score":0.02453709,"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."}}