{"id":"W2562737314","doi":"10.14742/ajet.3058","title":"What if learning analytics were based on learning science?","year":2016,"lang":"en","type":"article","venue":"Australasian Journal of Educational Technology","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":87,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Learning analytics; Learning sciences; Competence (human resources); Computer science; Experiential learning; Analytics; Educational technology; Autonomy; Synchronous learning; Data science; Instructional design; Mathematics education; Knowledge management; Psychology; Cooperative learning; Teaching method; Multimedia; Social psychology","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":[0.02104576,0.000581349,0.0008339401,0.002168854,0.001780467,0.01197197,0.001149417,0.004417663,0.005986303],"category_scores_gemma":[0.09251443,0.0006283709,0.0009998755,0.001475219,0.01543083,0.02376483,0.003378164,0.004087581,0.001542729],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.003903612,"about_ca_system_score_gemma":0.003991048,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001365617,"about_ca_topic_score_gemma":0.0006889136,"domain_scores_codex":[0.9822937,0.01065341,0.0008646388,0.002705907,0.002418212,0.001064211],"domain_scores_gemma":[0.9583712,0.02540996,0.003353945,0.004719736,0.00561777,0.002527425],"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":[0.0002961225,0.0003214766,0.02242873,0.001839614,0.00008002341,0.0003172447,0.02117845,0.001105872,0.001527815,0.7961208,0.01050834,0.1442756],"study_design_scores_gemma":[0.000135071,0.0004408399,0.007516187,0.002886252,0.00007329659,0.0004558211,0.01297052,0.003249121,0.002865927,0.7436465,0.2256445,0.000115896],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"commentary","genre_scores_codex":[0.2174663,0.009136457,0.260801,0.2825708,0.006309692,0.001390713,0.0009595113,0.0009704889,0.2203951],"genre_scores_gemma":[0.9135423,0.003314859,0.05332221,0.01440283,0.001118421,0.001078444,0.0002356958,0.0002263142,0.0127588],"genre_candidate":"commentary","genre_consensus":"commentary","teacher_disagreement_score":0.02104576,"threshold_uncertainty_score":0.111302,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.01327263502450036,"score_gpt":0.3022553505595324,"score_spread":0.288982715535032,"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."}}