{"id":"W3030361007","doi":"10.1145/3334480.3382789","title":"Towards Progress Assessment for Adaptive Hints in Educational Virtual Reality Games","year":2020,"lang":"en","type":"article","venue":"","topic":"Educational Games and Gamification","field":"Psychology","cited_by":28,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Saskatchewan","funders":"","keywords":"Computer science; Leverage (statistics); Educational game; Virtual reality; Immersion (mathematics); Multimedia; Human–computer interaction; Embodied cognition; Adaptive learning; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.0002151358,0.0000962551,0.0001240989,0.00003986073,0.00003031362,0.00002084282,0.0001418397,0.00006427871,0.001713916],"category_scores_gemma":[0.00005947565,0.00008859479,0.00005008319,0.0001500461,0.00005706443,0.00007144995,0.00001924374,0.00009634147,0.00007271712],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00009435042,"about_ca_system_score_gemma":0.0002726356,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001280596,"about_ca_topic_score_gemma":0.0000315094,"domain_scores_codex":[0.9990195,0.00007383816,0.0002529099,0.0003388275,0.0001469708,0.0001679251],"domain_scores_gemma":[0.9994083,0.0001394471,0.00008288515,0.0001460271,0.0001300442,0.00009327179],"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":[0.0001184082,0.0005874883,0.01346712,0.00001108321,0.00003951376,2.844096e-7,0.004927453,0.00001212259,0.00002707969,0.8857767,0.03969679,0.05533597],"study_design_scores_gemma":[0.0006234711,0.0002981912,0.9501668,0.000009227208,0.000010673,0.000001369665,0.005429041,0.0009810984,0.0000367608,0.009563799,0.03271993,0.0001595897],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.1972145,0.0004355226,0.06646904,0.5661755,0.002457107,0.003155299,0.0002894634,0.0001622169,0.1636414],"genre_scores_gemma":[0.9847502,0.000002859178,0.008943493,0.001729961,0.0004025303,0.0007791497,0.0001859636,0.00001187597,0.003194036],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.9366997,"threshold_uncertainty_score":0.9991987,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09093409151940242,"score_gpt":0.4253738115550726,"score_spread":0.3344397200356702,"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."}}