{"id":"W4308496240","doi":"10.19173/irrodl.v23i4.6475","title":"Using Low-immersive Virtual Reality in Online Learning: Field Notes from Environmental Management Education","year":2022,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Virtual Reality Applications and Impacts","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Summative assessment; Virtual reality; Thematic analysis; Computer science; Audit; Instructional simulation; Multimedia; Psychology; Qualitative research; Formative assessment; Mathematics education; Human–computer interaction","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":[0.006958554,0.0006979479,0.0005739007,0.001934122,0.0048206,0.001974598,0.001626724,0.001547988,0.003198033],"category_scores_gemma":[0.0119492,0.0003756743,0.0004079175,0.001610028,0.003668489,0.002285283,0.002467557,0.002240795,0.0007496918],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001514342,"about_ca_system_score_gemma":0.002104015,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004357001,"about_ca_topic_score_gemma":0.01127971,"domain_scores_codex":[0.9950309,0.003031415,0.0002381082,0.000361309,0.0008491357,0.0004891621],"domain_scores_gemma":[0.9778839,0.01700176,0.0006192282,0.0007607197,0.002390853,0.001343462],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0004919404,0.005104499,0.01308404,0.001859637,0.00002456626,0.008942137,0.7462173,0.0007762602,0.01124812,0.002643409,0.01032796,0.1992802],"study_design_scores_gemma":[0.00007244054,0.003703675,0.03064224,0.0009525536,0.00003344112,0.003343007,0.8515209,0.0005086508,0.01221443,0.001341042,0.09553739,0.0001303329],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9796468,0.0006454735,0.003611548,0.001983172,0.0000871728,0.0006121487,0.0002005606,0.00003736808,0.01317569],"genre_scores_gemma":[0.9759359,0.002261332,0.006677147,0.0009859601,0.00009442229,0.0004568652,0.0001811537,0.00005131376,0.01335595],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006958554,"threshold_uncertainty_score":0.0368008,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1073872767018948,"score_gpt":0.4407043994853974,"score_spread":0.3333171227835027,"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."}}