{"id":"W3119677223","doi":"10.18162/ritpu-2020-v17n3-03","title":"Virtual Learning During a Pandemic: Using Technology to Provide and Launch Interactive and Experiential Learning Opportunities for Preservice Teachers","year":2020,"lang":"en","type":"article","venue":"Revue internationale des technologies en pédagogie universitaire","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Experiential learning; Pandemic; Coronavirus disease 2019 (COVID-19); Educational technology; Virtual learning environment; Mathematics education; Psychology; Computer science; Pedagogy; Medicine","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":[0.002677707,0.0003366946,0.0001788654,0.0004432058,0.003378233,0.00504618,0.001320004,0.002151152,0.004110806],"category_scores_gemma":[0.006429842,0.000160267,0.000339782,0.0003358228,0.002570204,0.006081795,0.007516725,0.002191056,0.001239966],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007306081,"about_ca_system_score_gemma":0.001898462,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006617639,"about_ca_topic_score_gemma":0.001505685,"domain_scores_codex":[0.9980133,0.001307787,0.00005265222,0.0001206028,0.0001867299,0.0003188833],"domain_scores_gemma":[0.9971768,0.001294372,0.0002144101,0.0002712702,0.0001154589,0.0009276576],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002692734,0.001952584,0.01530551,0.0007668678,0.00003634753,0.004392337,0.1190834,0.002298432,0.01020543,0.02723514,0.0382719,0.780183],"study_design_scores_gemma":[0.0002032622,0.003074451,0.01440346,0.001893933,0.00006894748,0.009936361,0.2813969,0.007575075,0.01170421,0.04879824,0.6206982,0.000246994],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.6957871,0.004674122,0.08578534,0.02680518,0.001791824,0.0007530116,0.000159886,0.001285408,0.1829582],"genre_scores_gemma":[0.9481931,0.002294264,0.03582259,0.001954185,0.0002180077,0.0002429882,0.00007750173,0.0001089831,0.01108831],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00504618,"threshold_uncertainty_score":0.01416123,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06490032069200598,"score_gpt":0.3444903078947217,"score_spread":0.2795899872027158,"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."}}