{"id":"W3192299020","doi":"10.21432/cjlt27959","title":"Pedagogical Design: Bridging Learning Theory and Learning Analytics","year":2021,"lang":"en","type":"article","venue":"Canadian Journal of Learning and Technology","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":26,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Learning analytics; Learning sciences; Computer science; Analytics; Instructional design; Learning theory; Educational technology; Underpinning; Context (archaeology); Bridging (networking); Data science; Knowledge management; Open learning; Management science; Teaching method; Mathematics education; Cooperative learning; Psychology; Engineering; Multimedia","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"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":[0.07641539,0.001359143,0.001264855,0.004124113,0.005139728,0.0233749,0.005541365,0.005126836,0.006970872],"category_scores_gemma":[0.09837042,0.00129339,0.001394194,0.00272145,0.03465768,0.01680258,0.0118293,0.007291997,0.001880602],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01067286,"about_ca_system_score_gemma":0.01992177,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002314657,"about_ca_topic_score_gemma":0.002541081,"domain_scores_codex":[0.8760392,0.1078008,0.003106843,0.004425009,0.006969701,0.001658543],"domain_scores_gemma":[0.8834227,0.09329712,0.003426159,0.01073788,0.005710244,0.003405993],"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":[0.00005325497,0.0002366318,0.001770394,0.002636297,0.00006479105,0.0002418055,0.04584911,0.001835022,0.000845734,0.8232151,0.006994291,0.1162577],"study_design_scores_gemma":[0.0001602689,0.0001959734,0.0007731151,0.003960195,0.00007603901,0.0003382738,0.02518652,0.004686198,0.001782305,0.760317,0.2024487,0.00007547627],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":"theoretical_or_conceptual","genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.01474582,0.004120486,0.8629295,0.05919325,0.0008266534,0.002239112,0.0001313852,0.0004892886,0.05532445],"genre_scores_gemma":[0.2485279,0.00359965,0.7270358,0.008607486,0.0003664994,0.004466534,0.0002153965,0.0003410023,0.006839749],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.07641539,"threshold_uncertainty_score":0.404128,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02664583825843411,"score_gpt":0.2812406654279453,"score_spread":0.2545948271695112,"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."}}