{"id":"W2258611338","doi":"10.29173/mruer310","title":"Technology and English language learners: Can digital technology enhance the English language learning experience?","year":2015,"lang":"en","type":"article","venue":"Mount Royal Undergraduate Education Review","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":1,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Computer science; Mathematics education; Field (mathematics); English language; Educational technology; Digital native; Technology integration; Pedagogy; Psychology; Multimedia; World Wide Web; Mathematics","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":[0.002454814,0.0002306637,0.0004696789,0.001871991,0.0004638669,0.002179215,0.0004340912,0.00178437,0.002842279],"category_scores_gemma":[0.008030327,0.000130592,0.0004051238,0.001269426,0.001169163,0.003651839,0.001243959,0.001311718,0.0006737967],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001034803,"about_ca_system_score_gemma":0.002870177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002579471,"about_ca_topic_score_gemma":0.005217286,"domain_scores_codex":[0.9983826,0.0008367584,0.0001628633,0.00009768103,0.0003733049,0.0001468707],"domain_scores_gemma":[0.9956584,0.003369958,0.0002874753,0.00005290812,0.0004669523,0.0001643709],"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":[0.00006895621,0.0001081333,0.002040643,0.01849655,0.00009118972,0.0002802125,0.002200379,0.0001197958,0.0004088762,0.01423061,0.015791,0.9461637],"study_design_scores_gemma":[0.00003322968,0.000434653,0.01128976,0.04709484,0.0002487356,0.00187483,0.006652626,0.00007839393,0.0005601229,0.003929917,0.9277693,0.00003349017],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.002263,0.9831452,0.0001723092,0.005790825,0.0005812566,0.00001278838,0.000007157517,0.000002962805,0.008024456],"genre_scores_gemma":[0.02088712,0.9753309,0.0002702947,0.001531823,0.0003452839,0.000019713,0.000008883812,0.000002459661,0.001603438],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.002842279,"threshold_uncertainty_score":0.01298249,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008462633946284782,"score_gpt":0.2755832418949389,"score_spread":0.2671206079486542,"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."}}