{"id":"W4415096661","doi":"10.5539/jel.v15n1p373","title":"A Needs Analysis for Developing a Blended Learning–Driven Communicative Language Teaching Instructional Model to Enhance Primary Students’ English Communication Skills","year":2025,"lang":"en","type":"article","venue":"Journal of Education and Learning","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Thematic analysis; Data collection; Needs analysis; Blended learning; Competence (human resources); Vocabulary; Communicative competence; Qualitative research; Multimethodology; Qualitative property","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":["sts"],"consensus_categories":[],"category_scores_codex":[0.001950429,0.0001032155,0.0002883645,0.0009818894,0.001516606,0.0001284308,0.0004585627,0.0000873176,0.000007989605],"category_scores_gemma":[0.004041082,0.0001094035,0.00009165094,0.001044452,0.0001330145,0.0002996607,0.0001397984,0.0008217118,7.817777e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005535715,"about_ca_system_score_gemma":0.001277595,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009234797,"about_ca_topic_score_gemma":0.0001436903,"domain_scores_codex":[0.9984934,0.0005253007,0.0004267454,0.0001322226,0.0002516347,0.0001706929],"domain_scores_gemma":[0.9976643,0.0007387931,0.0005507393,0.0001613759,0.0008209853,0.000063803],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000456141,0.0003188491,0.06848823,0.00003910013,0.0007675797,6.2281e-8,0.7536145,0.008761612,0.0006327085,0.02038008,0.001271851,0.1456798],"study_design_scores_gemma":[0.0004484665,0.00008860359,0.1088,0.0004880097,0.0003906137,0.000001712953,0.7977555,0.0005980529,0.0002223924,0.001779567,0.08912926,0.0002977634],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9423541,0.000723842,0.04603631,0.006019782,0.0002473142,0.0002356003,7.971919e-7,0.00008366562,0.004298629],"genre_scores_gemma":[0.8883701,0.0004811602,0.1037589,0.0004297668,0.00008962864,0.00005090421,0.000009541035,0.000006990398,0.006803026],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.145382,"threshold_uncertainty_score":0.9997833,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01412076760165274,"score_gpt":0.4021049552592985,"score_spread":0.3879841876576457,"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."}}