{"id":"W1970912021","doi":"10.1145/2090116.2090131","title":"The value of learning analytics to networked learning on a personal learning environment","year":2011,"lang":"en","type":"article","venue":"","topic":"Human Mobility and Location-Based Analysis","field":"Social Sciences","cited_by":142,"is_retracted":false,"has_abstract":true,"ca_institutions":"National Research Council Canada","funders":"","keywords":"Learning analytics; Computer science; Analytics; Data science; Big data; Value (mathematics); Software analytics; Online learning; Data analysis; Open research; Knowledge management; World Wide Web; Software; Machine learning; 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":"codex-gemma-dda1882f352a","candidate_categories":["sts","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.002250938,0.00009822754,0.0001508851,0.00007163374,0.001695678,0.00004698184,0.0002220766,0.0000636172,0.002043791],"category_scores_gemma":[0.0006055015,0.00007587899,0.0001331036,0.00030305,0.0002485481,0.00004635729,0.00004179679,0.0003870087,0.0001653133],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001107887,"about_ca_system_score_gemma":0.00007766442,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.004062423,"about_ca_topic_score_gemma":0.001516495,"domain_scores_codex":[0.9979957,0.0007487508,0.0002380722,0.0002272173,0.000480583,0.0003097166],"domain_scores_gemma":[0.9990435,0.0005326782,0.0001249545,0.0001203686,0.00005095797,0.0001275246],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00009617471,0.0001721042,0.1274541,0.000009391289,0.0001825971,0.000002029434,0.1446409,0.6207043,0.00008253655,0.0331027,0.0001928367,0.07336033],"study_design_scores_gemma":[0.0004601018,0.001248206,0.04247004,0.00008905047,0.0002574321,3.003969e-7,0.2766661,0.3259536,0.0002785299,0.001012126,0.3508821,0.000682448],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.83038,0.00009548249,0.0228743,0.001416265,0.00008604384,0.0003186136,3.736631e-7,0.0001274462,0.1447014],"genre_scores_gemma":[0.9780174,0.0000851025,0.0001989854,0.00007713452,0.0001053208,0.000009598813,0.000002293936,0.000008782747,0.02149532],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.3506893,"threshold_uncertainty_score":0.999604,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03301033762088931,"score_gpt":0.2676100916788896,"score_spread":0.2345997540580002,"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."}}