{"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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0008289155,0.0001621382,0.0002357705,0.001624426,0.0003020873,0.0002390213,0.001397616,0.0001324209,0.0001072911],"category_scores_gemma":[0.001760712,0.0001158818,0.0001151349,0.001511601,0.0004711255,0.001041846,0.00009007299,0.0008465305,0.00008854137],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001862864,"about_ca_system_score_gemma":0.001227,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":4.862022e-7,"about_ca_topic_score_gemma":3.632915e-7,"domain_scores_codex":[0.9981845,0.00007145247,0.0004522813,0.0003122114,0.0005667332,0.0004127899],"domain_scores_gemma":[0.9979819,0.0003931148,0.0005654481,0.0003305804,0.0005505428,0.0001784134],"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":[0.00003278432,0.0007164945,0.1971953,0.00002349465,0.0001115645,0.00008668991,0.0004183789,0.04408037,0.007303816,0.5477762,0.001636501,0.2006184],"study_design_scores_gemma":[0.006838957,0.01295334,0.1257894,0.005979264,0.0002615843,0.003851486,0.008291427,0.1589898,0.02186752,0.5198507,0.1323391,0.002987418],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"commentary","genre_gemma":"empirical","genre_scores_codex":[0.2630902,0.0001194111,0.04159457,0.691331,0.002174327,0.00008497605,6.537398e-7,0.0001471334,0.001457745],"genre_scores_gemma":[0.9811664,0.0000551201,0.01526752,0.0001166932,0.0002411092,0.000001148963,5.309686e-7,0.00001126424,0.003140275],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.7180762,"threshold_uncertainty_score":0.4725523,"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."}}