{"id":"W3111641542","doi":"10.22329/jtl.v14i1.6300","title":"The Development and Use of a Multiple-Choice Question (MCQ) Assessment to Foster Deeper Learning: An Exploratory Web-Based Qualitative Investigation","year":2020,"lang":"en","type":"article","venue":"Journal of Teaching and Learning","topic":"Education and Critical Thinking Development","field":"Social Sciences","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"","funders":"","keywords":"Psychology; Multiple choice; Qualitative research; Mathematics education; Reading (process); Exploratory research; Qualitative property; Medical education; Computer science; Medicine; Sociology","routes":{"ca_aff":false,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":true},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaresearch"],"consensus_categories":[],"category_scores_codex":[0.006453489,0.00007753359,0.0001337324,0.00006462172,0.001192388,0.0002050262,0.00007654216,0.00004260286,0.000004060349],"category_scores_gemma":[0.01296968,0.00005896929,0.00002268501,0.000087692,0.0001005855,0.0003561973,0.00002604943,0.0008031199,6.697682e-7],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00008129075,"about_ca_system_score_gemma":0.0004246932,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00004484031,"about_ca_topic_score_gemma":0.0001130954,"domain_scores_codex":[0.9954063,0.003609994,0.0003572209,0.0001128319,0.0003852407,0.0001284223],"domain_scores_gemma":[0.9964852,0.002754882,0.0002580837,0.00003064286,0.0002059905,0.0002652227],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.00003760163,0.00003526436,0.1024355,0.00002463452,0.00002552719,9.099145e-7,0.8571172,0.0008081733,0.00114007,0.002117155,0.000105271,0.03615262],"study_design_scores_gemma":[0.0008387443,0.0006412163,0.07302242,0.0004998214,0.00003951416,0.000001812857,0.6293747,0.002790239,0.0002626324,0.0005098491,0.2917298,0.0002892092],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9779815,0.00005243458,0.0065573,0.01515168,0.0000824982,0.00007622132,1.068788e-7,0.00001855899,0.00007969695],"genre_scores_gemma":[0.9524763,0.00001072078,0.04623216,0.001095059,0.00008945045,0.000003926715,0.000001217356,0.0000071532,0.00008399216],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.2916246,"threshold_uncertainty_score":0.9953445,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.117090757827639,"score_gpt":0.4080374168917612,"score_spread":0.2909466590641221,"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."}}