{"id":"W2097668694","doi":"10.14742/ajet.1152","title":"A strategic assessment of audience response systems used in higher education","year":2009,"lang":"en","type":"article","venue":"Australasian Journal of Educational Technology","topic":"Innovative Teaching Methods","field":"Social Sciences","cited_by":113,"is_retracted":false,"has_abstract":true,"ca_institutions":"Ontario Tech University","funders":"","keywords":"Formative assessment; Audience response; Computer science; Class (philosophy); Peer assessment; Chart; Target audience; Control (management); Higher education; Mathematics education; Multimedia; Psychology; Artificial intelligence","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.02183519,0.0005960487,0.0003377839,0.003977735,0.0009604531,0.002181692,0.0007277501,0.0007362138,0.003060189],"category_scores_gemma":[0.03389645,0.0002095168,0.0004444731,0.002386231,0.0006453303,0.001828932,0.001473892,0.0004818628,0.001452318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001657581,"about_ca_system_score_gemma":0.002811512,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001135891,"about_ca_topic_score_gemma":0.002454801,"domain_scores_codex":[0.9694221,0.01998536,0.001887312,0.0008273516,0.007364431,0.0005134314],"domain_scores_gemma":[0.9552523,0.02610004,0.002991802,0.001784946,0.01279983,0.001071119],"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":[0.0003219463,0.0005494004,0.04967384,0.002250128,0.0000758201,0.0001998748,0.01139544,0.001146444,0.01092576,0.005765664,0.003126998,0.9145687],"study_design_scores_gemma":[0.0002655709,0.02513481,0.5183335,0.004766522,0.0007025465,0.004354652,0.08226901,0.01701493,0.04991096,0.01326968,0.2835075,0.0004703275],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.7351285,0.006790557,0.1120113,0.002044671,0.0002273421,0.003343238,0.0003304507,0.001122196,0.1390019],"genre_scores_gemma":[0.8981643,0.003143914,0.07929884,0.0004704049,0.00005935704,0.0009106791,0.0004013369,0.0001251586,0.01742607],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.02183519,"threshold_uncertainty_score":0.1154769,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09686514531548265,"score_gpt":0.4626211033970487,"score_spread":0.365755958081566,"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."}}