{"id":"W2794186166","doi":"10.19173/irrodl.v19i4.3489","title":"Motivation and Knowledge: Pre-Assessment and Post-Assessment of MOOC Participants From an Energy and Sustainability Project","year":2018,"lang":"en","type":"article","venue":"The International Review of Research in Open and Distributed Learning","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":25,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Consejo Nacional de Ciencia y Tecnología","keywords":"Massive open online course; Psychology; Attrition; Set (abstract data type); Applied psychology; Test (biology); Exploratory factor analysis; Medical education; Knowledge management; Psychometrics; Computer science; Mathematics education; Clinical psychology; Medicine","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":[0.003940828,0.00008032459,0.0002150148,0.0001029352,0.000140908,0.0001911732,0.000498728,0.00002789519,0.00000700692],"category_scores_gemma":[0.001271982,0.00005682073,0.00001330768,0.0003160035,0.0002914304,0.0003413588,0.001150538,0.0002386451,6.860458e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007050046,"about_ca_system_score_gemma":0.0004371963,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001967077,"about_ca_topic_score_gemma":0.0001026247,"domain_scores_codex":[0.9980913,0.0007837419,0.0003043096,0.0002944551,0.0003533336,0.0001728276],"domain_scores_gemma":[0.9980445,0.0007522564,0.000143289,0.0002040645,0.0007886863,0.00006718912],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.00007119212,0.0003958319,0.711462,0.001294099,0.0000810452,0.000004439501,0.001357157,0.00005883755,0.000268764,0.07311516,0.0001247687,0.2117667],"study_design_scores_gemma":[0.0005504837,0.0005831731,0.7108285,0.002123096,0.00001220639,0.000004112341,0.001449661,0.2741154,0.00004981491,0.008069279,0.002119408,0.00009485718],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9801716,0.003257039,0.00729042,0.008472783,0.00002463728,0.0003777954,0.00002612762,0.000008739369,0.000370808],"genre_scores_gemma":[0.9927081,0.005906267,0.001194587,0.00004035851,0.00002502614,0.0000203481,0.00004770448,0.000003489173,0.00005410801],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2740565,"threshold_uncertainty_score":0.2973645,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.08904427367579622,"score_gpt":0.5165517668999303,"score_spread":0.4275074932241341,"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."}}