{"id":"W4392000460","doi":"10.5539/jel.v13n2p149","title":"E-Learning After the Pandemic from the Perspective of Digital Skills Teachers","year":2024,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":3,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Pandemic; Perspective (graphical); Psychology; Mathematics education; Electronic learning; Teaching method; Pedagogy; Coronavirus disease 2019 (COVID-19); Educational technology; Computer science; 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":[0.00482855,0.0003354465,0.0002260886,0.0007016165,0.008041958,0.00870463,0.0009202605,0.003007991,0.00387629],"category_scores_gemma":[0.006926708,0.0001584602,0.0002751424,0.0005556758,0.00598344,0.006865049,0.004965243,0.003572391,0.0006167402],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0033946,"about_ca_system_score_gemma":0.005018075,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004071479,"about_ca_topic_score_gemma":0.007117262,"domain_scores_codex":[0.9957853,0.002863834,0.0001054161,0.0001532691,0.0002221171,0.0008700443],"domain_scores_gemma":[0.9949055,0.002349755,0.0005447392,0.0001513129,0.000509657,0.001539167],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.00003237279,0.0003942102,0.009823207,0.0002441384,0.000006361341,0.002226781,0.9219126,0.0001328477,0.0005664908,0.01505628,0.005919729,0.04368504],"study_design_scores_gemma":[0.000004653495,0.00007907611,0.002273397,0.0003064515,0.000004794428,0.0004067705,0.9516305,0.0000774112,0.0002152843,0.001589353,0.04340243,0.000009757685],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8587771,0.003365812,0.001828156,0.07574789,0.0004829692,0.00008489078,0.00004946916,0.00003057561,0.05963307],"genre_scores_gemma":[0.9824944,0.002452233,0.000787312,0.004327688,0.00007683423,0.00003348447,0.00001757116,0.00001390322,0.009796641],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.00870463,"threshold_uncertainty_score":0.02553618,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01200040508578312,"score_gpt":0.3457120842731567,"score_spread":0.3337116791873735,"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."}}