{"id":"W4389739015","doi":"10.4236/ce.2023.1412155","title":"Exploring Online Learning: Student Feedback on Factors for Effective Online Learning Post COVID-19","year":2023,"lang":"en","type":"article","venue":"Creative Education","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"","keywords":"Coronavirus disease 2019 (COVID-19); Online learning; Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2); 2019-20 coronavirus outbreak; Computer science; Psychology; Multimedia; Medicine; Virology; Infectious disease (medical specialty); Internal medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":true,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch","sts"],"consensus_categories":[],"category_scores_codex":[0.0008671427,0.0002265675,0.0002638365,0.0003802385,0.001573734,0.0001152575,0.0002173979,0.0001023653,0.000155235],"category_scores_gemma":[0.00980489,0.0002175937,0.0001342226,0.0008884027,0.0001326785,0.0004072356,0.00005147516,0.0005597867,0.0001061655],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007624644,"about_ca_system_score_gemma":0.001132754,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001072159,"about_ca_topic_score_gemma":0.000631158,"domain_scores_codex":[0.9976331,0.0007298136,0.0002509764,0.0004860727,0.0004340668,0.0004659713],"domain_scores_gemma":[0.9966434,0.002297192,0.0002340317,0.0001288372,0.0003937524,0.0003027741],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002819531,0.002264896,0.2210785,0.0001697372,0.0002098544,0.000003816179,0.3595863,0.01379624,0.0008884315,0.006540847,0.002443846,0.3927356],"study_design_scores_gemma":[0.0003659465,0.0005726864,0.2182931,0.00008326509,0.00003807355,1.696756e-7,0.4961474,0.0001018679,0.0001274445,0.0001365067,0.283905,0.0002285745],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9905282,0.00004156451,0.0001649991,0.004711906,0.0009015166,0.001013948,0.0000308864,0.0004396886,0.002167334],"genre_scores_gemma":[0.977838,0.0002704182,0.0004104771,0.0002052145,0.001723738,0.0003049411,0.001666317,0.00004786698,0.01753299],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.392507,"threshold_uncertainty_score":0.9997261,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1289208589681375,"score_gpt":0.441528212453297,"score_spread":0.3126073534851595,"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."}}