{"id":"W2523284206","doi":"10.24059/olj.v20i2.783","title":"Developing Learning Analytics Design Knowledge in the “Middle Space”: The Student Tuning Model and Align Design Framework for Learning Analytics Use","year":2016,"lang":"en","type":"article","venue":"Online Learning","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":70,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Learning analytics; Analytics; Computer science; Data science; Cultural analytics; Process (computing); Reflection (computer programming); Software analytics; Visual analytics; Knowledge management; Semantic analytics; Artificial intelligence; Visualization; Software","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":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","sts"],"consensus_categories":[],"category_scores_codex":[0.005579983,0.000583044,0.0006310373,0.000449126,0.001491005,0.001030941,0.001664805,0.0002866333,0.000003204849],"category_scores_gemma":[0.00528801,0.00035299,0.0002010305,0.001461869,0.0002003744,0.0006998986,0.0006445267,0.002210776,0.00001605289],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002287479,"about_ca_system_score_gemma":0.0004115112,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00001825583,"about_ca_topic_score_gemma":0.00002854694,"domain_scores_codex":[0.9942701,0.002094902,0.000819232,0.000994419,0.0006807272,0.001140635],"domain_scores_gemma":[0.9878628,0.01031383,0.0005788125,0.0007074404,0.0003645302,0.0001726386],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00002942913,0.0001145761,0.01352659,0.00003781195,0.0001002811,0.00002024784,0.008798043,0.9165701,0.000198499,0.04043027,0.00005298631,0.02012113],"study_design_scores_gemma":[0.0007336981,0.0003654184,0.001881596,0.0007027102,0.0001016749,0.00002481559,0.004348548,0.979288,0.00003770652,0.008168431,0.003752123,0.0005952211],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04174798,0.0004123992,0.9477299,0.00916076,0.0001105092,0.000511422,0.0000017225,0.0002844807,0.0000408097],"genre_scores_gemma":[0.5692506,0.0004462119,0.427689,0.0002800219,0.000241641,0.0000319275,0.000007256695,0.00007152144,0.00198182],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.5275026,"threshold_uncertainty_score":0.9998922,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1498443790950186,"score_gpt":0.3512129962980289,"score_spread":0.2013686172030103,"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."}}