{"id":"W4392681778","doi":"10.22318/icls2023.632371","title":"Harnessing Student-Generated Questions as a Learning Strategy","year":2023,"lang":"en","type":"article","venue":"Proceedings.","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Athabasca University; McMaster University; University of Toronto","funders":"McMaster University","keywords":"Reading (process); Computer science; Recall; Test (biology); Mathematics education; Multimedia; Artificial intelligence; Psychology; Cognitive psychology","routes":{"ca_aff":true,"ca_fund":true,"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":[0.006060624,0.0006912645,0.0006502715,0.0007257133,0.0001892336,0.001088291,0.0009959267,0.0006329215,0.002403712],"category_scores_gemma":[0.02370436,0.0002319251,0.0003336571,0.0004127851,0.0006539605,0.001089355,0.001201658,0.0005610987,0.0006198841],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0002960864,"about_ca_system_score_gemma":0.0005021758,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001688623,"about_ca_topic_score_gemma":0.0003137606,"domain_scores_codex":[0.9941639,0.003606035,0.000349567,0.0008042063,0.0009255285,0.0001507478],"domain_scores_gemma":[0.970912,0.02337539,0.002044522,0.002259949,0.0009369869,0.0004711165],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"observational","study_design_scores_codex":[0.003348917,0.01142354,0.03722217,0.001834206,0.0002501755,0.0003478793,0.008714434,0.004786946,0.187249,0.005177895,0.001410397,0.7382344],"study_design_scores_gemma":[0.004473962,0.1211429,0.2371752,0.0008055128,0.001054601,0.00403919,0.006495338,0.0521245,0.4639491,0.03961913,0.06850671,0.0006138351],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.8998418,0.0002133596,0.09264354,0.0001835813,0.00004922081,0.001921227,0.0001806166,0.0005565092,0.004410042],"genre_scores_gemma":[0.8954859,0.0002348013,0.09935069,0.0001432451,0.00003863716,0.00196358,0.0002720371,0.00006594842,0.002445213],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006060624,"threshold_uncertainty_score":0.03205204,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09122857794920854,"score_gpt":0.445170392748053,"score_spread":0.3539418147988445,"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."}}