{"id":"W4390203274","doi":"10.23977/aetp.2023.071718","title":"Holistic Language Learning: Implementing Authentic Assessment to Cultivate 4C Skills in Chinese University English Course","year":2023,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Second Language Learning and Teaching","field":"Arts and Humanities","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Authentic assessment; Creativity; Curriculum; Critical thinking; Psychology; Workforce; Pedagogy; Authentic learning; Medical education; Intervention (counseling); Set (abstract data type); Mathematics education; Computer science; Medicine; Political science","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":[0.003262012,0.0004700847,0.0003294538,0.0004146858,0.0009106593,0.0008657397,0.0006896122,0.0003613447,0.001171142],"category_scores_gemma":[0.004699057,0.0001552292,0.0002821139,0.0002604473,0.0007565478,0.001011871,0.002132277,0.0004695661,0.0001380899],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007243634,"about_ca_system_score_gemma":0.004267734,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001693728,"about_ca_topic_score_gemma":0.002718689,"domain_scores_codex":[0.998514,0.0006634241,0.00008879035,0.0002272322,0.0003076548,0.0001988461],"domain_scores_gemma":[0.9986657,0.0004263362,0.0001633362,0.0001426792,0.0002102453,0.0003917613],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.0004608714,0.01487193,0.04186533,0.0008029809,0.00003879178,0.0005006238,0.0300524,0.002511378,0.03445258,0.002486453,0.001304627,0.870652],"study_design_scores_gemma":[0.001619469,0.08265523,0.6364363,0.001244015,0.0007332992,0.001345398,0.07237457,0.04364813,0.09325475,0.01826128,0.04781834,0.0006091428],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9912224,0.00005605818,0.005361922,0.0001293864,0.00001388937,0.0004141914,0.000005700114,0.00004137802,0.002755003],"genre_scores_gemma":[0.9783854,0.0000872444,0.02038985,0.00007147036,0.000008339026,0.0002862342,0.0000149147,0.000003692433,0.0007529166],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003262012,"threshold_uncertainty_score":0.01725137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01192627899123283,"score_gpt":0.3667686010644345,"score_spread":0.3548423220732017,"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."}}