{"id":"W2589115658","doi":"10.5539/elt.v10n3p136","title":"An Empirical Analysis of Chinese College Learners’ Obstacles to MOOC Learning in an English Context","year":2017,"lang":"en","type":"article","venue":"English Language Teaching","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":12,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"MOE Research Center for Online Education; Ministry of Education, India","keywords":"Psychology; Context (archaeology); Obstacle; Mathematics education; Exploratory research; Exploratory factor analysis; Independent study; College English; The Internet; Pedagogy; Teaching method; Computer science; Developmental psychology; Psychometrics","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":[],"consensus_categories":[],"category_scores_codex":[0.001733164,0.000250862,0.00061032,0.0007218603,0.0004592288,0.0005260969,0.001908226,0.0001108909,0.00001867809],"category_scores_gemma":[0.004846571,0.0002320366,0.0001804638,0.0006726524,0.00005971555,0.001317183,0.0003504581,0.001047209,0.000003859326],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006463222,"about_ca_system_score_gemma":0.00006313736,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0006678599,"about_ca_topic_score_gemma":0.001923452,"domain_scores_codex":[0.9974338,0.0006395094,0.0004308334,0.000655225,0.0004094922,0.000431106],"domain_scores_gemma":[0.9975645,0.0002653432,0.0002912295,0.001471741,0.0001319445,0.0002752221],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001171395,0.000215299,0.5520667,0.00000908436,0.00009155644,0.00008193062,0.3973669,0.03054373,0.0004455828,0.001043601,0.00001577086,0.01810821],"study_design_scores_gemma":[0.0008077107,0.0003936892,0.2049647,0.00006617111,0.0001110318,0.000001284409,0.09702586,0.6952506,0.00007536203,0.00008117144,0.0006295037,0.0005928433],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9923261,0.00006166355,0.005344902,0.0003177293,0.0002232319,0.00009481116,0.00001248164,0.0003351011,0.001283973],"genre_scores_gemma":[0.9902604,0.000001694973,0.008830498,0.000208395,0.0003675353,0.000004329479,0.00003089718,0.00002579472,0.0002704701],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.6647069,"threshold_uncertainty_score":0.9462176,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01427261732610894,"score_gpt":0.3405849380735761,"score_spread":0.3263123207474671,"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."}}