{"id":"W3168583402","doi":"10.1111/dsji.12246","title":"Assessing a novel problem‐based learning approach with game elements in a business analytics course","year":2021,"lang":"en","type":"article","venue":"Decision Sciences Journal of Innovative Education","topic":"Educational Games and Gamification","field":"Psychology","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Waterloo; Wilfrid Laurier University; Western University","funders":"","keywords":"Computer science; Pace; Student engagement; Analytics; Problem-based learning; Learning analytics; Course (navigation); Mathematics education; Teaching method; Business analytics; Perception; Data science; Business model; Psychology; Business analysis","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":[0.002679202,0.001211504,0.0007366321,0.00115344,0.0005718659,0.003055768,0.001614347,0.001465594,0.003601657],"category_scores_gemma":[0.01077225,0.0003902501,0.000557605,0.00047332,0.0006855374,0.001530684,0.001993207,0.001679045,0.000874949],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008176639,"about_ca_system_score_gemma":0.0009657324,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0005723081,"about_ca_topic_score_gemma":0.001202273,"domain_scores_codex":[0.9979509,0.0007668015,0.0001669571,0.0003314175,0.0005585019,0.0002254476],"domain_scores_gemma":[0.9936586,0.00339622,0.0005724133,0.000431663,0.0007142171,0.001226822],"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":[0.004932362,0.1459224,0.1012375,0.002443935,0.0003860636,0.001049314,0.02691274,0.04419523,0.131768,0.008296833,0.006144803,0.5267109],"study_design_scores_gemma":[0.002785043,0.1491372,0.2805075,0.001293052,0.0007257638,0.001830472,0.02350535,0.3175984,0.1481744,0.01962452,0.05369721,0.001121025],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9832488,0.00002802371,0.01287636,0.0001009164,0.00003293479,0.001007839,0.00005756675,0.0001703345,0.002477196],"genre_scores_gemma":[0.9140171,0.0001319426,0.07925381,0.0001292839,0.00002190463,0.001556714,0.000189343,0.00004207436,0.004657776],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.003601657,"threshold_uncertainty_score":0.01416916,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1008482661243481,"score_gpt":0.4461502740613654,"score_spread":0.3453020079370174,"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."}}