{"id":"W4401798622","doi":"10.1007/s40751-024-00152-x","title":"Exploring AR and VR Tools in Mathematics Education Through Culturally Responsive Pedagogies","year":2024,"lang":"en","type":"article","venue":"Digital Experiences in Mathematics Education","topic":"Teaching and Learning Programming","field":"Computer Science","cited_by":16,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"Social Sciences and Humanities Research Council of Canada","keywords":"Mathematics education; Augmented reality; Documentation; Context (archaeology); Coding (social sciences); Design-based research; Computer science; Storytelling; Visualization; Computational thinking; Multimedia; Pedagogy; Psychology; Human–computer interaction; Narrative; Mathematics","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.004662612,0.0005592273,0.0002450006,0.001133159,0.001261165,0.005149832,0.0008750682,0.001013603,0.00346937],"category_scores_gemma":[0.006762717,0.0003407854,0.0006525817,0.0006492918,0.004724978,0.003183014,0.004482517,0.001122263,0.0004871341],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0006806789,"about_ca_system_score_gemma":0.001294466,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004849942,"about_ca_topic_score_gemma":0.001087764,"domain_scores_codex":[0.9932702,0.005249427,0.0001921368,0.0003038711,0.0006192186,0.0003650158],"domain_scores_gemma":[0.9965448,0.002596916,0.0002503567,0.0002682339,0.0001454049,0.0001943603],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001215774,0.001076561,0.01641445,0.001374366,0.00007895696,0.003075765,0.511488,0.002759574,0.02092172,0.1089186,0.002446873,0.3313236],"study_design_scores_gemma":[0.0001914433,0.00212531,0.02400712,0.002178139,0.0002003107,0.008099356,0.4817602,0.004060094,0.02319207,0.05443647,0.3995416,0.0002079421],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7995263,0.00274703,0.08104064,0.003278321,0.0001505517,0.0003830705,0.00004525062,0.0002168737,0.112612],"genre_scores_gemma":[0.9602261,0.001552027,0.03164138,0.0003589391,0.00002653524,0.0001465251,0.00001793125,0.00003455373,0.005996092],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.005149832,"threshold_uncertainty_score":0.02465856,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1222985707601347,"score_gpt":0.3639609273468766,"score_spread":0.241662356586742,"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."}}