{"id":"W2893397320","doi":"10.5539/ies.v11n10p105","title":"The Utilization of Educational Robotics in Saudi Schools: Potentials and Barriers from the Perspective of Saudi Teachers","year":2018,"lang":"en","type":"article","venue":"International Education Studies","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Robotics; Educational robotics; Thematic analysis; Artificial intelligence; Incentive; Medical education; Government (linguistics); Psychology; Christian ministry; Qualitative research; Mathematics education; Robot; Sociology; Computer science; Political science; Social science; Medicine","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":[0.0005653717,0.00007649372,0.0001011727,0.00009818024,0.0002394789,0.00007172645,0.0004402391,0.00002463718,0.00000632958],"category_scores_gemma":[0.004137008,0.00005147446,0.00003161787,0.000250037,0.0002980718,0.0001892743,0.0001330302,0.0001311592,0.00000267027],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001102705,"about_ca_system_score_gemma":0.0003061393,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0007373834,"about_ca_topic_score_gemma":0.0001748363,"domain_scores_codex":[0.999049,0.0001559075,0.0002634536,0.0001903479,0.0002529696,0.00008832385],"domain_scores_gemma":[0.9976016,0.0007604726,0.0002527868,0.0001912403,0.001169078,0.00002483617],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"observational","study_design_scores_codex":[0.00002443573,0.0001747823,0.2173734,0.000009535011,0.0004267933,8.222092e-8,0.08605963,0.0004470112,0.0001420761,0.5402659,0.005359127,0.1497172],"study_design_scores_gemma":[0.0006524199,0.0001533985,0.6256342,0.0004985917,0.00006298666,0.000007606468,0.1685795,0.003117117,0.0005503763,0.1464497,0.05396143,0.0003327748],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6620789,0.0255065,0.05917345,0.2413313,0.009639764,0.0005356412,0.00001579508,0.00006023032,0.001658485],"genre_scores_gemma":[0.9867028,0.0002968929,0.01226826,0.0001316024,0.0002028601,0.00001896014,0.000003408151,0.000004188508,0.0003710007],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4082607,"threshold_uncertainty_score":0.4952685,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.04538078958660728,"score_gpt":0.3802927670280498,"score_spread":0.3349119774414425,"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."}}