{"id":"W3082883596","doi":"","title":"Connecting Learner Motivation to Learner Progress and Completion in Massive Open Online Courses.","year":2018,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":8,"is_retracted":false,"has_abstract":false,"ca_institutions":"","funders":"","keywords":"Mathematics education; Open education; Massive open online course; Psychology; Electronic learning; Pedagogy; Instructional design; Educational technology; Computer-Assisted Instruction; Technology integration; Teaching method; Computer 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0004881122,0.00009543804,0.0002228843,0.0009033554,0.000251107,0.0002037761,0.0003910827,0.0001153179,0.000008578194],"category_scores_gemma":[0.0008496681,0.00009003469,0.00001336815,0.0006860187,0.0001642497,0.0002016028,0.0001274548,0.0006203679,0.000003563388],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00005565809,"about_ca_system_score_gemma":0.0002481918,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0004862668,"about_ca_topic_score_gemma":0.004923375,"domain_scores_codex":[0.9991188,0.00008379178,0.0002432565,0.0002062267,0.00008292113,0.0002649942],"domain_scores_gemma":[0.9991295,0.00006290725,0.0002095123,0.0001016626,0.0002849405,0.0002114658],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00000987974,0.00002835766,0.6746708,0.0000114126,0.00002769737,0.0001616804,0.001673965,0.0007251812,0.0002435473,0.01357166,0.0001757204,0.3087001],"study_design_scores_gemma":[0.006542659,0.01105856,0.226112,0.00254681,0.00009402873,0.003862966,0.03054765,0.2712278,0.0009387109,0.02210331,0.4231142,0.001851332],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9572726,0.0002518153,0.004457484,0.03770632,0.0001013106,0.0000737173,7.955589e-7,0.00002672345,0.0001092226],"genre_scores_gemma":[0.9872567,0.00001421532,0.01240442,0.0000878802,0.00008749761,7.646971e-7,0.000001450843,0.000009399292,0.0001376815],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.4485588,"threshold_uncertainty_score":0.3671508,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01965836042975582,"score_gpt":0.2976394827260793,"score_spread":0.2779811222963235,"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."}}