{"id":"W2883609103","doi":"10.1109/waina.2018.00086","title":"Education Analytics: Challenges and Approaches","year":2018,"lang":"en","type":"article","venue":"","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":24,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Victoria","funders":"Natural Sciences and Engineering Research Council of Canada; University of Victoria","keywords":"Computer science; Analytics; Data science; Learning analytics; Software analytics; State (computer science); Data analysis; Data mining; Software; Algorithm; Software development","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.03141136,0.001755747,0.002539288,0.008747208,0.002833921,0.02549164,0.006015242,0.005025494,0.004446273],"category_scores_gemma":[0.04117171,0.001072472,0.001271317,0.01196743,0.007094967,0.03563015,0.01297033,0.008958641,0.003360754],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003268143,"about_ca_system_score_gemma":0.00704185,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.003037548,"about_ca_topic_score_gemma":0.002174373,"domain_scores_codex":[0.9795613,0.009829562,0.001793088,0.002708513,0.005263062,0.0008445428],"domain_scores_gemma":[0.9427323,0.04089856,0.001339233,0.004234659,0.008791127,0.002004185],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00006646801,0.0002154437,0.003995613,0.004394732,0.0001103466,0.00009912578,0.001501854,0.003631056,0.0003343288,0.3403564,0.04766192,0.5976326],"study_design_scores_gemma":[0.00001919678,0.00007687818,0.001328271,0.00537391,0.00004466578,0.0002490256,0.006095902,0.02229281,0.0004488837,0.6323129,0.3316827,0.00007489204],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"review","genre_gemma":"empirical","genre_scores_codex":[0.006089048,0.4160854,0.2893629,0.2509836,0.00349231,0.0004443842,0.0009249431,0.001340031,0.03127743],"genre_scores_gemma":[0.1518911,0.4440063,0.3588209,0.02070189,0.01296783,0.001093442,0.002115643,0.0004303714,0.007972579],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03141136,"threshold_uncertainty_score":0.1661212,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.07353244635768398,"score_gpt":0.28007030016366,"score_spread":0.206537853805976,"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."}}