{"id":"W4408669827","doi":"10.5539/ies.v18n2p123","title":"Adaptive Micro-Learning Model Based on Dhamma Using Mixed Reality to Develop Students to Be Good Citizens","year":2025,"lang":"en","type":"article","venue":"International Education Studies","topic":"Educational Curriculum and Learning Methods","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"King Mongkut's University of Technology North Bangkok","keywords":"Mathematics education; Psychology; Multimethodology; Teaching method; Pedagogy; Computer science","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":[0.001724561,0.0001618757,0.0001980419,0.0004403442,0.0008142636,0.000129611,0.0004412392,0.00006421193,0.00005131865],"category_scores_gemma":[0.009294492,0.0001706849,0.00005675979,0.001009874,0.00008783545,0.0001045658,0.0001389648,0.0002020356,0.00003256126],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00115312,"about_ca_system_score_gemma":0.002091566,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008704113,"about_ca_topic_score_gemma":0.0003726788,"domain_scores_codex":[0.9977275,0.0005219447,0.0003229531,0.000408775,0.0007710864,0.0002477071],"domain_scores_gemma":[0.9949883,0.0007288722,0.000130293,0.0001356735,0.003880341,0.0001365275],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0003727934,0.002242466,0.2388315,0.000052646,0.000953651,0.000001922938,0.1569007,0.2691858,0.0008531712,0.1506257,0.1341628,0.04581689],"study_design_scores_gemma":[0.0008778055,0.0001880793,0.2702145,0.001137071,0.0001578036,0.000001084186,0.2479844,0.009142349,0.0007916338,0.01048463,0.4579013,0.001119312],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8287277,0.0001275678,0.05842606,0.06462091,0.00745554,0.0006145592,0.00002128236,0.0001199727,0.03988641],"genre_scores_gemma":[0.8822427,0.00002007569,0.08803211,0.007380464,0.0003773949,0.0001941274,0.0000214017,0.00001336182,0.02171834],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3237385,"threshold_uncertainty_score":0.9990506,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1861934120834431,"score_gpt":0.5281955765175866,"score_spread":0.3420021644341435,"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."}}