{"id":"W2576129078","doi":"10.1007/s10734-016-0097-6","title":"Insights on supporting learning during computing science and engineering students’ transition to university: a design-oriented, mixed methods exploration of instructor and student perspectives","year":2017,"lang":"en","type":"article","venue":"Higher Education","topic":"Innovative Teaching and Learning Methods","field":"Psychology","cited_by":15,"is_retracted":false,"has_abstract":false,"ca_institutions":"Simon Fraser University","funders":"","keywords":"Coursework; Discipline; Mathematics education; Learning sciences; Psychology; Active learning (machine learning); Experiential learning; Cooperative learning; Learning styles; Engineering education; Higher education; Educational technology; Teaching method; Computer science; Engineering; Sociology; 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":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001768518,0.0001131386,0.0001541348,0.0004141934,0.0008001613,0.0001043625,0.0001571305,0.00004430706,0.000008311906],"category_scores_gemma":[0.0002956623,0.0001226459,0.00001370124,0.0002526843,0.0001177302,0.0003838145,0.0000743807,0.0002271795,0.000001167017],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001517879,"about_ca_system_score_gemma":0.00005527875,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00006446232,"about_ca_topic_score_gemma":5.258358e-7,"domain_scores_codex":[0.9985994,0.00049011,0.0001679786,0.0003616105,0.0002243507,0.0001565634],"domain_scores_gemma":[0.9991386,0.0001216037,0.0002422531,0.000185461,0.0002471974,0.00006486581],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"observational","study_design_scores_codex":[0.0002146137,0.0003316454,0.02180357,0.0000696456,0.00008052529,0.000003451464,0.7426907,0.001277867,0.1582263,0.03543705,0.000006855306,0.03985776],"study_design_scores_gemma":[0.0003818045,0.0001568131,0.9253524,0.0001095058,0.00001883244,0.000002794395,0.07110675,0.0001253314,0.002423413,0.00003123585,0.0001639953,0.0001271499],"study_design_candidate":"observational","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9373617,0.00003681385,0.0611227,0.0001528646,0.000722773,0.0002003911,2.026226e-7,0.00004075631,0.0003617799],"genre_scores_gemma":[0.9513867,0.000001969246,0.0482283,0.00001240292,0.00009573033,0.000004124782,0.00000109815,0.0000123674,0.0002572704],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.9035488,"threshold_uncertainty_score":0.6154275,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05014337701998396,"score_gpt":0.4316733999123361,"score_spread":0.3815300228923522,"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."}}