{"id":"W2883325838","doi":"10.1109/access.2018.2851790","title":"E-Learning: Challenges and Research Opportunities Using Machine Learning & Data Analytics","year":2018,"lang":"en","type":"article","venue":"IEEE Access","topic":"Data Stream Mining Techniques","field":"Computer Science","cited_by":152,"is_retracted":false,"has_abstract":true,"ca_institutions":"Western University","funders":"","keywords":"Computer science; Field (mathematics); Data science; Process (computing); Analytics; Machine learning; Learning analytics; Artificial intelligence; Data analysis; Data mining","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":[0.006654792,0.001091797,0.001409613,0.004138786,0.001062969,0.00919723,0.00304643,0.004825742,0.002617833],"category_scores_gemma":[0.01247049,0.0006228609,0.0008230574,0.01110777,0.003464355,0.02091742,0.003200148,0.004834252,0.001803374],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001307651,"about_ca_system_score_gemma":0.001879376,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000691828,"about_ca_topic_score_gemma":0.0006593672,"domain_scores_codex":[0.9952955,0.002170108,0.0003569024,0.000549194,0.001405068,0.0002233129],"domain_scores_gemma":[0.9824796,0.01381283,0.000635598,0.001145912,0.001404693,0.0005213267],"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":[0.00009051769,0.0003085161,0.004514915,0.002728557,0.00008172829,0.0003406944,0.0007898231,0.008757631,0.00125717,0.199816,0.01549708,0.7658175],"study_design_scores_gemma":[0.00002837439,0.0002073571,0.002095313,0.003397465,0.00005023175,0.001151129,0.005589733,0.1474236,0.003765379,0.5703774,0.2657882,0.0001259174],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"review","genre_scores_codex":[0.0186277,0.3155511,0.5420003,0.08481562,0.002240371,0.0002946465,0.0003588607,0.0006239321,0.0354875],"genre_scores_gemma":[0.2377979,0.3859322,0.3565125,0.005417713,0.005514461,0.0003326779,0.0006723805,0.0001503881,0.007669771],"genre_candidate":"review","genre_consensus":null,"teacher_disagreement_score":0.00919723,"threshold_uncertainty_score":0.03519428,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.699501726311832,"score_gpt":0.4858837748751497,"score_spread":0.2136179514366823,"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."}}