{"id":"W3199622825","doi":"10.5430/ijhe.v10n7p96","title":"Evidence-Based Course Modification to Support Learner-Centered and Student-Driven Teaching in A Pandemic: Leveraging Digital and Physical Space for Accessible, Equitable, and Motivating Experiential Learning and Scientific Inquiry in A First-Year Biology Course","year":2021,"lang":"en","type":"article","venue":"International Journal of Higher Education","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":4,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Guelph; York University","funders":"","keywords":"Experiential learning; Pandemic; Space (punctuation); Active learning (machine learning); Course (navigation); Instructional design; Coronavirus disease 2019 (COVID-19); Teaching method; Mathematics education; Educational technology; Experiential education; Virtual learning environment; Medical education; Psychology; Computer science; Pedagogy; Medicine; Engineering; Artificial intelligence","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002154539,0.0001021865,0.0001823281,0.0003227338,0.0002773045,0.0005243671,0.0001439036,0.0000540212,0.000009121542],"category_scores_gemma":[0.001129798,0.0001051094,0.0000224294,0.0002111075,0.000204058,0.001061296,0.0001201463,0.0002992824,1.548924e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002010337,"about_ca_system_score_gemma":0.0004339236,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007091653,"about_ca_topic_score_gemma":0.00006126674,"domain_scores_codex":[0.9984913,0.0003768038,0.00033185,0.0002892489,0.0002988877,0.0002118886],"domain_scores_gemma":[0.998622,0.0005716299,0.0002951002,0.00005029091,0.0003793028,0.00008167871],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00008481706,0.0002668666,0.9156396,0.00001623138,0.00002316641,0.000002646682,0.04615051,0.0001104359,0.008153767,0.004724715,0.00005850977,0.02476879],"study_design_scores_gemma":[0.002386365,0.0003230432,0.9206245,0.001446569,0.00003780507,0.000028136,0.06482252,0.001500233,0.0004261401,0.003045742,0.004997861,0.0003610613],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9910493,0.0003761279,0.004101698,0.003405995,0.0008273721,0.0001768007,0.000004405244,0.000007957758,0.00005030195],"genre_scores_gemma":[0.9943159,0.00003579702,0.004916723,0.00006187901,0.0003829,0.00001740429,0.00001166369,0.00001006587,0.0002476348],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02440773,"threshold_uncertainty_score":0.5056485,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1528707426929418,"score_gpt":0.504956631954763,"score_spread":0.3520858892618213,"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."}}