{"id":"W2411878531","doi":"10.5430/wje.v6n3p56","title":"Assessing Students’ Attainment in Learning Outcomes: A Comparison of Course-End Evaluation and Entry-Exit Surveys","year":2016,"lang":"en","type":"article","venue":"World Journal of Education","topic":"Evaluation of Teaching Practices","field":"Social Sciences","cited_by":9,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"Chinese University of Hong Kong","keywords":"Course (navigation); Perception; Psychology; Mathematics education; Course evaluation; Set (abstract data type); Educational attainment; General education; Medical education; Pedagogy; Higher education; Computer science; Engineering","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":[0.037135,0.0005820087,0.00099374,0.002566866,0.0004217321,0.001562704,0.0006413293,0.0007623481,0.0009278764],"category_scores_gemma":[0.07415938,0.0003335385,0.001098568,0.001606049,0.0006307846,0.001868507,0.001926696,0.0008273023,0.0003725983],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008708415,"about_ca_system_score_gemma":0.0009593972,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00210973,"about_ca_topic_score_gemma":0.003934069,"domain_scores_codex":[0.9735042,0.01693823,0.002566535,0.001196863,0.004636133,0.001158035],"domain_scores_gemma":[0.9326447,0.03706009,0.009274832,0.003713788,0.01458748,0.002719184],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"observational","study_design_scores_codex":[0.005628075,0.001758541,0.8931497,0.0002648973,0.0004528993,0.00009122257,0.008173767,0.0005590032,0.002153942,0.0002952912,0.0005057658,0.08696689],"study_design_scores_gemma":[0.00008399723,0.003644424,0.9886851,0.000041926,0.00008928166,0.0000527697,0.003201814,0.001522301,0.001740883,0.0000934885,0.0008059705,0.00003799402],"study_design_candidate":"observational","study_design_consensus":"observational","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9959483,0.0001072515,0.002169633,0.00003509047,0.00002259647,0.0002405823,0.0001286598,0.00003005423,0.001317928],"genre_scores_gemma":[0.9966246,0.00008017058,0.0017479,0.00005160823,0.0000119597,0.0003498331,0.0003769113,0.00001646046,0.0007405683],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.037135,"threshold_uncertainty_score":0.196391,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1839573861926704,"score_gpt":0.5639785717752466,"score_spread":0.3800211855825761,"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."}}