{"id":"W4404173560","doi":"10.1145/3687038","title":"Guiding Students in Using LLMs in Supported Learning Environments: Effects on Interaction Dynamics, Learner Performance, Confidence, and Trust","year":2024,"lang":"en","type":"article","venue":"Proceedings of the ACM on Human-Computer Interaction","topic":"Online Learning and Analytics","field":"Computer Science","cited_by":21,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"Universitas Brawijaya","keywords":"Dynamics (music); Psychology; Cognitive psychology; Mathematics education; Computer science; Social psychology; Knowledge management; Pedagogy","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":[0.0005600367,0.0002275721,0.0002553318,0.0006942932,0.0001358316,0.0004414309,0.0009464506,0.00008870709,0.000004314775],"category_scores_gemma":[0.0001382467,0.0001901658,0.00007425572,0.0004422275,0.00003862411,0.001140267,0.0006961217,0.000783818,0.0000117091],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004045158,"about_ca_system_score_gemma":0.00001254838,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00005482972,"about_ca_topic_score_gemma":0.000005834613,"domain_scores_codex":[0.9983044,0.00004504343,0.000445912,0.0005387828,0.0004086923,0.0002571611],"domain_scores_gemma":[0.9992597,0.0001754131,0.0002471304,0.0002432666,0.00003501789,0.00003953311],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"observational","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000273003,0.001419841,0.616879,0.001711273,0.0003068343,0.00005630909,0.01116461,0.07243473,0.06275007,0.0142474,0.0005132726,0.2182436],"study_design_scores_gemma":[0.0004043583,0.0004509714,0.04914152,0.00288428,0.00001701248,0.00003007008,0.0002427651,0.938877,0.006853924,0.0006104267,0.0002800201,0.0002076649],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9973425,0.00001421247,0.0007562543,0.0005212691,0.0008295338,0.0001956486,2.66847e-7,0.00007021174,0.0002700556],"genre_scores_gemma":[0.9983592,0.00003241745,0.001006017,0.00009076569,0.0001472061,0.000007293026,0.000002372089,0.00002230681,0.0003323912],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.8664423,"threshold_uncertainty_score":0.7754737,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03248017981393873,"score_gpt":0.3281297274061279,"score_spread":0.2956495475921891,"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."}}