{"id":"W4317597600","doi":"10.5539/hes.v13n1p35","title":"The Virtual Interactive Learning Model using Imagineering Process via Metaverse","year":2023,"lang":"en","type":"article","venue":"Higher Education Studies","topic":"Education and Learning Interventions","field":"Computer Science","cited_by":10,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Metaverse; Instructional simulation; Computer science; Process (computing); Human–computer interaction; Instructional design; Educational technology; Active learning (machine learning); Virtual learning environment; Virtual reality; Multimedia; Artificial intelligence; Mathematics education; 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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003223904,0.0006375773,0.0002995155,0.001435563,0.001886796,0.005894016,0.001522041,0.001910908,0.007491642],"category_scores_gemma":[0.005297134,0.0002564784,0.001067634,0.0008554294,0.00409545,0.01133534,0.006582106,0.001616613,0.001404542],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001127756,"about_ca_system_score_gemma":0.00230844,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005456851,"about_ca_topic_score_gemma":0.0006465935,"domain_scores_codex":[0.997178,0.001584536,0.0001311686,0.0002835893,0.0005927732,0.0002299803],"domain_scores_gemma":[0.9973404,0.001129093,0.0002778239,0.0006416505,0.0003202211,0.0002908212],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0001925008,0.0003347736,0.004541988,0.00067671,0.00003846845,0.0007966164,0.02799969,0.0092078,0.008394293,0.7959023,0.003002201,0.1489127],"study_design_scores_gemma":[0.0002056091,0.001538618,0.007391808,0.001573012,0.0001821167,0.004482334,0.03392731,0.08381332,0.02992338,0.5235403,0.3131706,0.0002516377],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.1550539,0.0008090956,0.6320371,0.002337459,0.0002190132,0.0006117234,0.00008275501,0.0009911039,0.207858],"genre_scores_gemma":[0.8161687,0.0006505031,0.1596502,0.0002743414,0.00005080723,0.0005570759,0.0001223967,0.0001338968,0.02239216],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.007491642,"threshold_uncertainty_score":0.02506208,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07978616026395845,"score_gpt":0.4111521219926336,"score_spread":0.3313659617286751,"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."}}