{"id":"W3116666118","doi":"10.23977/aetp.2020.41025","title":"The Empirical Research on Multimedia Teaching Based on Autonomous Learning Ability","year":2020,"lang":"en","type":"article","venue":"Advances in Educational Technology and Psychology","topic":"Educational Technology and Pedagogy","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Autonomous learning; Teaching and learning center; Autonomy; Computer science; Synchronous learning; Active learning (machine learning); Learner autonomy; College English; Diversification (marketing strategy); Open learning; Experiential learning; Cooperative learning; China; Multimedia; Teaching method; Mathematics education; Psychology; Artificial intelligence; Political science; Language education","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":[0.001646664,0.0002097503,0.0002689145,0.001824059,0.000740021,0.001984854,0.0007471852,0.0004603553,0.01321326],"category_scores_gemma":[0.01760637,0.0001598109,0.0004018929,0.001814622,0.001035509,0.002689634,0.0008567167,0.0008447092,0.0007193742],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.000974845,"about_ca_system_score_gemma":0.001453923,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002278591,"about_ca_topic_score_gemma":0.00338622,"domain_scores_codex":[0.9985451,0.0003669686,0.0001132562,0.0001820478,0.0006066248,0.0001861012],"domain_scores_gemma":[0.9753003,0.01745709,0.003014949,0.0005938451,0.00222499,0.001408901],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.0001496813,0.001020856,0.8648331,0.0007938738,0.0001485417,0.0005711431,0.01736905,0.0005793144,0.001106866,0.01342102,0.001624999,0.09838164],"study_design_scores_gemma":[0.00002197078,0.0002100196,0.9495015,0.0004708486,0.0001439223,0.0003395664,0.03204403,0.002255365,0.0009986199,0.005310221,0.0086743,0.00002967803],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9752309,0.0006880821,0.001018045,0.0005349251,0.0000191286,0.00007467605,0.0001517004,0.000009646354,0.02227277],"genre_scores_gemma":[0.9974052,0.000369703,0.0004525922,0.00006241226,0.00001435137,0.0000442782,0.00009411998,0.000004937167,0.001552334],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01321326,"threshold_uncertainty_score":0.04420269,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1369821429072424,"score_gpt":0.5038005219933863,"score_spread":0.3668183790861439,"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."}}