{"id":"W6890011753","doi":"10.30191/ets.202501_28(1).rp10","title":"Relationships between presence, satisfaction, and persistence in higher education online courses: Assessing the moderating effects of gender, age, and online experience using PLS-MGA","year":2025,"lang":"en","type":"article","venue":"DOAJ (DOAJ: Directory of Open Access Journals)","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Persistence (discontinuity); Higher education; Dropout (neural networks); Coronavirus disease 2019 (COVID-19); Structural equation modeling; Pandemic; Partial least squares regression; Online learning; Computer-mediated communication","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":false,"about_ca":true,"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":[0.005690457,0.0003648695,0.0005354211,0.00131608,0.001005483,0.002371891,0.0006460278,0.0005082674,0.003934153],"category_scores_gemma":[0.01703918,0.0002238957,0.0009098445,0.001567652,0.0008515571,0.00100992,0.00141073,0.00120961,0.0003058439],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001349729,"about_ca_system_score_gemma":0.002173553,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0128799,"about_ca_topic_score_gemma":0.02085895,"domain_scores_codex":[0.9969856,0.001231675,0.0002336979,0.0003470253,0.0007978192,0.0004041559],"domain_scores_gemma":[0.973019,0.0163678,0.004392672,0.001319158,0.002565803,0.002335581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001439173,0.0006995808,0.981473,0.0000309311,0.00009490135,0.00002667247,0.003056076,0.000169784,0.0003327837,0.000167567,0.0001014896,0.01370332],"study_design_scores_gemma":[0.00000595512,0.0002643128,0.994769,0.00001233425,0.00003358944,0.00001754853,0.003280827,0.001092134,0.0001622039,0.00009721291,0.0002553748,0.000009528805],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9990847,0.00001322834,0.0002114168,0.00002999244,0.000002695772,0.00002212679,0.00006637166,0.000004577862,0.0005649402],"genre_scores_gemma":[0.9989762,0.00001674952,0.0004075754,0.00001489369,0.000004029011,0.00004696743,0.0001210413,0.000002686658,0.0004098027],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.0128799,"threshold_uncertainty_score":0.03009439,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.42183137039784,"score_gpt":0.595363138699676,"score_spread":0.1735317683018361,"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."}}