{"id":"W2079372207","doi":"10.1109/mitp.2014.78","title":"The Next Step for Learning Analytics","year":2014,"lang":"en","type":"article","venue":"IT Professional","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":38,"is_retracted":false,"has_abstract":true,"ca_institutions":"Lakehead University","funders":"","keywords":"Learning analytics; Analytics; Computer science; Data science; Software analytics; Data analysis; Cultural analytics; Big data; Business intelligence; Business analytics; Semantic analytics; Web analytics; World Wide Web; Knowledge management; Data mining; Web intelligence; The Internet; Software; Management; Software development","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":[0.01833368,0.001554955,0.001300366,0.002319269,0.003475657,0.02000224,0.004127889,0.007930049,0.03347396],"category_scores_gemma":[0.03062564,0.0005265416,0.001331984,0.00203858,0.009938365,0.04432379,0.01337151,0.01774802,0.0196915],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003424765,"about_ca_system_score_gemma":0.009562158,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002937955,"about_ca_topic_score_gemma":0.001639629,"domain_scores_codex":[0.9887679,0.004438396,0.0004866714,0.001367689,0.004063006,0.0008763887],"domain_scores_gemma":[0.9645039,0.01394815,0.0009653923,0.006225117,0.008719476,0.005637964],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"theoretical_or_conceptual","study_design_scores_codex":[0.00007779773,0.0001938604,0.0008897952,0.0008240083,0.00005846217,0.00008558288,0.001023506,0.0006004474,0.0009925162,0.5647478,0.2618838,0.1686224],"study_design_scores_gemma":[0.0000123888,0.00005388479,0.0003201274,0.0005564732,0.00001393182,0.00006846787,0.001427411,0.001168411,0.0004350808,0.3408692,0.6550339,0.00004076198],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.002861583,0.02523392,0.1608276,0.6783455,0.01245934,0.0003593871,0.001013668,0.003402397,0.1154965],"genre_scores_gemma":[0.1257944,0.03963105,0.5287051,0.1573368,0.02067917,0.001051296,0.003572208,0.002139952,0.12109],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.03347396,"threshold_uncertainty_score":0.1119816,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03226958673053724,"score_gpt":0.3272596038051167,"score_spread":0.2949900170745794,"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."}}