{"id":"W1126497501","doi":"10.1007/s40595-015-0049-6","title":"PLORS: a personalized learning object recommender system","year":2015,"lang":"en","type":"article","venue":"Vietnam Journal of Computer Science","topic":"Open Education and E-Learning","field":"Computer Science","cited_by":108,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University","funders":"Natural Sciences and Engineering Research Council of Canada; Mitacs; Athabasca University","keywords":"Computer science; Personalization; Learning object; Recommender system; Learning Management; Learning styles; Personalized learning; Multimedia; Object (grammar); Synchronous learning; Quality (philosophy); Artificial intelligence; World Wide Web; Teaching method; Open learning; Cooperative learning; Mathematics education; Psychology","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["scholarly_communication"],"consensus_categories":[],"category_scores_codex":[0.004761985,0.0001759528,0.0003314297,0.000512062,0.0004518818,0.001100094,0.002516997,0.00004327817,0.00001161563],"category_scores_gemma":[0.0002279587,0.0001434571,0.0001310908,0.001561423,0.0001895888,0.002602373,0.000488159,0.000560541,0.0001021312],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003259224,"about_ca_system_score_gemma":0.001301542,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000004827711,"about_ca_topic_score_gemma":3.173643e-7,"domain_scores_codex":[0.9970684,0.0003447465,0.0005579309,0.0003637378,0.001214702,0.0004504671],"domain_scores_gemma":[0.9972562,0.0001102871,0.0006199625,0.0003264446,0.001112506,0.0005746545],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001894299,0.001044021,0.0182346,0.0002423068,0.0002713746,0.0006230891,0.1633676,0.09617437,0.002914658,0.2137977,0.04263537,0.4605055],"study_design_scores_gemma":[0.002745847,0.001944175,0.002469131,0.0006221968,0.00002687959,0.004531264,0.01523823,0.879454,0.0005697081,0.000523266,0.09109125,0.0007840968],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.03080568,0.0002529529,0.9544253,0.002640113,0.004594866,0.0001071748,9.776581e-8,0.0001358692,0.007037967],"genre_scores_gemma":[0.8411967,0.00001478329,0.1578208,0.0003540282,0.0004142377,0.000001721235,1.604599e-7,0.000009185428,0.000188446],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.8103909,"threshold_uncertainty_score":0.9999369,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03821834295717074,"score_gpt":0.2893354685229682,"score_spread":0.2511171255657974,"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."}}