{"id":"W4307866648","doi":"10.5430/wjel.v12n7p18","title":"The Impact of Gamification “Kahoot App” in Teaching English for Academic Purposes","year":2022,"lang":"en","type":"article","venue":"World Journal of English Language","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":13,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Vocabulary; Test (biology); Mathematics education; Control (management); English language; English as a foreign language; Scale (ratio); Foreign language; Psychology; Significant difference; Vocabulary learning; Computer science; Motivation to learn; Academic year; Positive attitude; Linguistics; Mathematics; Artificial intelligence; Social psychology","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":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.003345085,0.00008198938,0.0002066836,0.0003539381,0.0006632409,0.000027033,0.0005830735,0.00004299253,0.00003813829],"category_scores_gemma":[0.009882959,0.00006342893,0.0001509156,0.0005581328,0.000173852,0.0002053024,0.00006806416,0.0008545865,2.507357e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005398708,"about_ca_system_score_gemma":0.0002877294,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003529197,"about_ca_topic_score_gemma":0.0006261384,"domain_scores_codex":[0.9985706,0.0002598694,0.000482664,0.0001020032,0.0003276042,0.0002572462],"domain_scores_gemma":[0.9978636,0.0008964834,0.0006413822,0.0001463815,0.000408245,0.0000439382],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0001399889,0.0001598846,0.01457456,0.00001264257,0.0001107089,0.000003569423,0.869729,0.0007122621,0.001613893,0.01567464,0.03802956,0.05923925],"study_design_scores_gemma":[0.0006269062,0.0001529596,0.01353912,0.00004614331,0.00002813349,0.000002236923,0.6913293,0.00001008951,0.0003657279,0.001870159,0.2918815,0.0001477031],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9835308,0.005991747,0.00004388457,0.0006924298,0.001378902,0.0003304826,0.00001857149,0.00008289368,0.007930348],"genre_scores_gemma":[0.9971331,0.0002454963,0.0002337459,0.00002135425,0.0008856279,0.00005016504,0.00000170195,0.00001072344,0.001418139],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.253852,"threshold_uncertainty_score":0.9984572,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01904288950456227,"score_gpt":0.3697568408554592,"score_spread":0.3507139513508969,"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."}}