{"id":"W3164796821","doi":"10.19173/irrodl.v22i2.5358","title":"Investigation of Emerging Trends in the E-Learning Field Using Latent Dirichlet Allocation","year":2021,"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":74,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Latent Dirichlet allocation; Computer science; Field (mathematics); Educational technology; Artificial intelligence; Adaptive learning; Topic model; Data science; Machine learning; Mathematics education; Psychology; Mathematics","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":[0.005583574,0.00006391617,0.0001672334,0.0001748752,0.000113163,0.0001470713,0.001016442,0.00002746414,0.00002547468],"category_scores_gemma":[0.002144297,0.00004327662,0.00003857143,0.001510517,0.00006099919,0.0002308311,0.0005891912,0.0006678242,9.542492e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00004477643,"about_ca_system_score_gemma":0.0001299175,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0003952882,"about_ca_topic_score_gemma":0.00002574502,"domain_scores_codex":[0.9976007,0.001094418,0.0003733951,0.0001882413,0.0005911762,0.0001520787],"domain_scores_gemma":[0.9984024,0.0008757658,0.0001739076,0.0001973914,0.0003251641,0.00002539139],"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":[0.0000512098,0.0002189134,0.5669329,0.001889265,0.0001064259,0.00009143084,0.004611569,0.04229664,0.003173726,0.1023886,0.001211726,0.2770276],"study_design_scores_gemma":[0.0009898181,0.000215367,0.0758941,0.01675557,0.00002384288,0.00006452059,0.005267669,0.8786778,0.001794557,0.007583512,0.01247515,0.0002580804],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7131155,0.02004676,0.02596294,0.2358095,0.0001774751,0.0005317676,0.000008897442,0.00002710057,0.004320041],"genre_scores_gemma":[0.9936889,0.005116879,0.0007690247,0.0002078125,0.00002288708,0.000007089084,0.00006745531,0.000003233319,0.0001167244],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8363812,"threshold_uncertainty_score":0.2901401,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1317842775619654,"score_gpt":0.454506419839996,"score_spread":0.3227221422780305,"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."}}