{"id":"W2939559876","doi":"10.20343/teachlearninqu.8.1.11","title":"Jigsaw learning versus traditional lectures: Impact on student grades and learning experience","year":2020,"lang":"en","type":"article","venue":"Teaching & Learning Inquiry The ISSOTL Journal","topic":"Online and Blended Learning","field":"Social Sciences","cited_by":32,"is_retracted":false,"has_abstract":true,"ca_institutions":"MacEwan University","funders":"","keywords":"Jigsaw; Mathematics education; Likert scale; Cooperative learning; Active learning (machine learning); Descriptive statistics; Teaching method; Psychology; Experiential learning; Computer science; Mathematics","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":["metaepi_narrow","sts","scholarly_communication","research_integrity"],"consensus_categories":[],"category_scores_codex":[0.004286412,0.000403071,0.0004132763,0.0001695531,0.009507851,0.001151349,0.0007177536,0.000179489,0.0004546276],"category_scores_gemma":[0.006174078,0.000265014,0.0002839726,0.0003407581,0.0005815132,0.0006379837,0.0001437955,0.009670039,0.00005486594],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0003121094,"about_ca_system_score_gemma":0.0004066427,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001450743,"about_ca_topic_score_gemma":0.00001307921,"domain_scores_codex":[0.9917497,0.004958459,0.000490838,0.0005047359,0.001408351,0.0008878914],"domain_scores_gemma":[0.9962638,0.002412131,0.0005319795,0.0001305916,0.0000971676,0.000564333],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"not_applicable","study_design_scores_codex":[0.000671859,0.0001613347,0.04564951,0.00001382086,0.0002955621,0.0001377023,0.6506615,0.183505,0.0007797001,0.003213369,0.001153463,0.1137571],"study_design_scores_gemma":[0.002610676,0.004246029,0.03356161,0.0003271675,0.000161486,0.0001885136,0.4323588,0.004446886,0.0000392318,0.0003303346,0.5207227,0.001006544],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9822456,0.0004197989,0.0008935962,0.01180771,0.0007259437,0.0001604091,6.973908e-7,0.0003440148,0.003402214],"genre_scores_gemma":[0.9932005,0.000311581,0.00057195,0.0004435171,0.004718422,0.000006880125,0.000008574313,0.0000617122,0.0006768153],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.5195693,"threshold_uncertainty_score":0.9999802,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.100420389352775,"score_gpt":0.4031760936967491,"score_spread":0.302755704343974,"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."}}