{"id":"W4413802123","doi":"10.70716/jess.v2i1.180","title":"Exploring the Impact of Technology-Enhanced Learning on Student Engagement and Academic Performance in Indonesian Primary Schools","year":2025,"lang":"en","type":"article","venue":"Journal of Education and Social Science","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"Education and Early Childhood Development","funders":"","keywords":"Indonesian; Context (archaeology); Educational technology; Personalized learning; Student engagement; Mathematics education; Psychology; Knowledge management; Pedagogy; Medical education; Computer science; Teaching method; Cooperative learning; Open learning; Medicine","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002106962,0.0002755475,0.0005025431,0.0005981794,0.0009500522,0.002697319,0.0004300243,0.0004729721,0.002308917],"category_scores_gemma":[0.005027066,0.0001525664,0.0004680761,0.0006720108,0.0007023792,0.001163695,0.002712048,0.0009370843,0.000361598],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001423061,"about_ca_system_score_gemma":0.002077758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003036816,"about_ca_topic_score_gemma":0.00688395,"domain_scores_codex":[0.9976946,0.0009359488,0.0001548437,0.0002466018,0.0005196263,0.0004483709],"domain_scores_gemma":[0.9962918,0.001695678,0.0007364933,0.0001307848,0.0003514529,0.0007939198],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0005215702,0.006453789,0.7044383,0.0009227811,0.0001822597,0.0006931641,0.05539259,0.001108854,0.002878899,0.001309929,0.0008835158,0.2252144],"study_design_scores_gemma":[0.00002608009,0.001806302,0.9568696,0.0002827682,0.0001108908,0.0001201946,0.03446551,0.0009290293,0.001284772,0.0005733649,0.003504141,0.00002733295],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9965276,0.0001284929,0.000146291,0.000138128,0.000005252139,0.00002088715,0.00002863522,0.00000403833,0.003000674],"genre_scores_gemma":[0.9992242,0.00008945623,0.0001964839,0.00002950412,0.000003325059,0.00002562226,0.00002041607,0.000001493297,0.0004094673],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003036816,"threshold_uncertainty_score":0.01114285,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.06560683350636722,"score_gpt":0.4212936380796293,"score_spread":0.3556868045732621,"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."}}