{"id":"W2886066641","doi":"10.24908/pceea.v0i0.10509","title":"Re-engaging Students by Teaching from the Middle and Back of a 500-seat Lecture Hall","year":2018,"lang":"en","type":"article","venue":"Proceedings of the Canadian Engineering Education Association (CEEA)","topic":"Mobile Learning in Education","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"York University","funders":"York University","keywords":"Whiteboard; Interactive whiteboard; Lecture hall; Computer science; Multimedia; Front (military); Variety (cybernetics); Tablet pc; Mathematics education; Engineering; Psychology; Artificial intelligence; Acoustics","routes":{"ca_aff":true,"ca_fund":true,"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":[0.001046243,0.0006493955,0.0005625648,0.0002975948,0.001322927,0.003260408,0.001350595,0.0008287095,0.03233122],"category_scores_gemma":[0.003485004,0.0002455282,0.0006013649,0.0002644304,0.0006365812,0.002089294,0.002793266,0.001669832,0.01106481],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0004730941,"about_ca_system_score_gemma":0.0007930864,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0008039855,"about_ca_topic_score_gemma":0.002461727,"domain_scores_codex":[0.9989867,0.0003476973,0.00004466594,0.0001970532,0.0001761192,0.0002478297],"domain_scores_gemma":[0.9979724,0.0005355538,0.0001488211,0.0004468875,0.0002717695,0.0006245618],"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":[0.00203029,0.01570081,0.02287706,0.0007238225,0.00007587103,0.001239842,0.04462584,0.002084153,0.1430729,0.003238526,0.02303684,0.741294],"study_design_scores_gemma":[0.001116031,0.0265584,0.1448747,0.001371236,0.0007210519,0.004483073,0.1566074,0.01582453,0.2136737,0.01483211,0.4192572,0.0006805036],"study_design_candidate":"not_applicable","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9194908,0.0001891237,0.03253242,0.001631666,0.0002911514,0.0004456996,0.0001844921,0.001421454,0.04381328],"genre_scores_gemma":[0.9238228,0.0002017092,0.04281444,0.0006030138,0.00006005623,0.0001996353,0.0001880684,0.0002181161,0.03189225],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.03233122,"threshold_uncertainty_score":0.1081587,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007395134226205914,"score_gpt":0.2174897144404662,"score_spread":0.2100945802142603,"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."}}