{"id":"W3137268104","doi":"10.1016/j.caeai.2021.100016","title":"Comparison of learning analytics and educational data mining: A topic modeling approach","year":2021,"lang":"en","type":"article","venue":"Computers and Education Artificial Intelligence","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":109,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Data science; Computer science; Learning analytics; Educational data mining; Field (mathematics); Analytics; Consistency (knowledge bases); CLARITY; Big data; Data analysis; Thematic analysis; Topic model; Focus (optics); Data mining; Artificial intelligence; Qualitative research; Sociology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03731843,0.0009865477,0.00164739,0.02663041,0.001465423,0.008244886,0.0016377,0.001533107,0.002658211],"category_scores_gemma":[0.1167822,0.0006797421,0.004215342,0.02725158,0.001667713,0.009242578,0.003050628,0.002068579,0.0006708301],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003659919,"about_ca_system_score_gemma":0.003399933,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004506403,"about_ca_topic_score_gemma":0.004474011,"domain_scores_codex":[0.9734111,0.01864454,0.002223245,0.002075667,0.003071982,0.0005734158],"domain_scores_gemma":[0.7650069,0.2114887,0.00866591,0.004870634,0.008389626,0.001578172],"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":[0.001160551,0.000752952,0.302384,0.007418966,0.005774672,0.0005729549,0.02455608,0.02821953,0.002620602,0.1076766,0.009334612,0.5095285],"study_design_scores_gemma":[0.0004033104,0.001405592,0.2466805,0.004108021,0.003713132,0.001284248,0.03771974,0.3970248,0.003836765,0.2523394,0.05104542,0.0004391623],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.3265044,0.02095939,0.617078,0.008299249,0.0003838346,0.002467362,0.004275095,0.0009132606,0.01911944],"genre_scores_gemma":[0.8325467,0.005157052,0.1549647,0.0004918571,0.0004187127,0.002060233,0.003130433,0.0001901842,0.001040081],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03731843,"threshold_uncertainty_score":0.1973611,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1727703023585213,"score_gpt":0.3992104277104874,"score_spread":0.2264401253519661,"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."}}