{"id":"W3160586265","doi":"10.5539/ijel.v11n3p96","title":"Learning in Higher Education Under the Covid-19 Pandemic: Were Students More Engaged or Less?","year":2021,"lang":"en","type":"article","venue":"International Journal of English Linguistics","topic":"COVID-19 and Mental Health","field":"Psychology","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Blended learning; Attendance; Experiential learning; Higher education; Learning styles; Active learning (machine learning); Pandemic; Educational technology; Medical education; Pedagogy; Mathematics education; Coronavirus disease 2019 (COVID-19); Medicine; Political science","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":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00140178,0.0001189,0.0001817307,0.000157017,0.0001343946,0.00008488299,0.0005099284,0.0001009035,0.001323936],"category_scores_gemma":[0.03720539,0.00008919655,0.00008324595,0.0001464833,0.00005324827,0.00003730428,0.00009824328,0.001336369,0.000009645442],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0009571706,"about_ca_system_score_gemma":0.002087983,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001812878,"about_ca_topic_score_gemma":0.0002685413,"domain_scores_codex":[0.997875,0.0005937057,0.0005793673,0.0001683529,0.0006033645,0.0001802168],"domain_scores_gemma":[0.9935189,0.001905206,0.0003932274,0.0001418979,0.003878131,0.000162562],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.001152508,0.001673161,0.892049,0.00007587872,0.0004993578,0.0008154747,0.02856178,0.002672386,0.0000212582,0.03046254,0.03428572,0.00773091],"study_design_scores_gemma":[0.001719108,0.00008981776,0.08532283,0.00007765799,0.00003471846,0.00004404614,0.02997285,0.000005396682,0.000006793563,0.001178304,0.8814393,0.0001092022],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8381799,0.002141895,0.0004167032,0.004945389,0.1193089,0.0002852461,0.00003668037,0.00006929462,0.034616],"genre_scores_gemma":[0.9707006,0.0002095075,0.0001466458,0.009682059,0.009935719,0.000006328615,0.0000233291,0.00001935359,0.009276467],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8471535,"threshold_uncertainty_score":0.999589,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1770447594764127,"score_gpt":0.4917854491935237,"score_spread":0.314740689717111,"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."}}