{"id":"W2776042168","doi":"10.18438/b8pq1k","title":"Motivational Design and Problem-Based Learning May Increase Student Engagement in Information Literacy Instruction Sessions","year":2017,"lang":"en","type":"article","venue":"Evidence Based Library and Information Practice","topic":"Technology-Enhanced Education Studies","field":"Social Sciences","cited_by":7,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Session (web analytics); Test (biology); Information literacy; Relevance (law); Psychology; Perception; Library instruction; Mathematics education; Medical education; Literacy; Computer science; Pedagogy; World Wide Web; Medicine","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["sts","scholarly_communication"],"consensus_categories":["scholarly_communication"],"category_scores_codex":[0.001989221,0.0001212714,0.0001168503,0.000384731,0.002089417,0.001337968,0.0002156558,0.0001027786,0.00009211973],"category_scores_gemma":[0.007655458,0.0001209795,0.00001616033,0.0002894739,0.0002338173,0.2340174,0.0001360628,0.0003738983,0.00002004545],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00007198645,"about_ca_system_score_gemma":0.0005801317,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001237149,"about_ca_topic_score_gemma":6.720205e-7,"domain_scores_codex":[0.9982811,0.0005767008,0.0004541645,0.0001305129,0.0003720413,0.0001855131],"domain_scores_gemma":[0.9971033,0.001683558,0.000771493,0.0001909082,0.0001622767,0.00008848363],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0008430318,0.0002200531,0.2187761,0.0003483748,0.00004923785,0.000003012155,0.0508538,0.009738505,0.00005782541,0.3109663,0.003384945,0.4047588],"study_design_scores_gemma":[0.0009444386,0.0001096995,0.4257159,0.0005094837,0.00002166778,0.000002348166,0.01375287,0.003566127,0.0002720652,0.0004996898,0.554376,0.0002296784],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5941739,0.0005043537,0.08096419,0.3020897,0.0009116876,0.003466653,0.00001522018,0.001204886,0.01666936],"genre_scores_gemma":[0.9491608,0.001121437,0.04389749,0.005399025,0.00004530787,0.0001958816,0.00003457739,0.000004471788,0.0001410483],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5509911,"threshold_uncertainty_score":0.9996988,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03095906864396684,"score_gpt":0.3559552660654088,"score_spread":0.324996197421442,"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."}}