{"id":"W4389096684","doi":"10.14742/apubs.2023.465","title":"The “IKEA Model” for pragmatic development of a custom learning analytics dashboard","year":2023,"lang":"en","type":"article","venue":"ASCILITE Publications","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Dashboard; Learning analytics; Analytics; Vendor; Computer science; Data science; Simple (philosophy); Literacy; Knowledge management; World Wide Web; Pedagogy; Psychology; Business","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":[0.016508,0.001673013,0.00057982,0.002023186,0.001580875,0.009263841,0.003593543,0.002491888,0.01651147],"category_scores_gemma":[0.03391046,0.001270541,0.001391353,0.001196915,0.003465463,0.01174256,0.00984233,0.006216124,0.01341891],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001214278,"about_ca_system_score_gemma":0.003965311,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002061677,"about_ca_topic_score_gemma":0.003016518,"domain_scores_codex":[0.9886823,0.004597542,0.00105325,0.001786211,0.003037037,0.0008438338],"domain_scores_gemma":[0.9831315,0.004653931,0.0007492987,0.006620539,0.003431248,0.00141349],"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":[0.0006679976,0.001408751,0.007273444,0.002226159,0.0001932897,0.001341966,0.02304681,0.01688959,0.05605562,0.4473533,0.06826542,0.3752776],"study_design_scores_gemma":[0.0001589211,0.0004668218,0.001301423,0.00146202,0.00009440948,0.0006151074,0.004063122,0.06372503,0.02582508,0.08877645,0.8132617,0.0002498425],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.006937556,0.0000934455,0.9310732,0.001495483,0.000253444,0.0009726683,0.0004166032,0.02367491,0.03508269],"genre_scores_gemma":[0.05882673,0.0001582797,0.9084389,0.0007466765,0.00005726905,0.001804483,0.001454484,0.007129448,0.0213838],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.01651147,"threshold_uncertainty_score":0.0873037,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03731575930141008,"score_gpt":0.3116383377708533,"score_spread":0.2743225784694432,"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."}}