Using neurocognitive profiles and common personality traits to predict academic success in written examination and growth trajectory in undergraduate medical education.

IF 4 2区 教育学 Q1 EDUCATION, SCIENTIFIC DISCIPLINES
Medical Teacher Pub Date : 2026-09-01 Epub Date: 2026-02-14 DOI:10.1080/0142159X.2026.2628960
Ryan R Landoll, Madison F Clark, Layne D Bennion, Kade Thornton, Richard Iwuagwu, Dario Torre, Steven J Durning
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引用次数: 0

Abstract

Introduction: A central challenge in academic remediation is identifying struggling learners prior to a major academic failure. Standardized assessments may fail to capture contributions to score more aligned with humanistic theories of learning such as motivation, psychological needs, and response to prior failure. Thus, the current study sought to understand how neurocognitive and social/personality data predict academic success and academic trajectory during the pre-clerkship period of medical school. Specifically, this study utilized non-academic individual data along with cognitive assessments to help identify or predict at risk learners.

Method: Sixty learners at an allopathic medical school were recruited during pre-clerkship and completed an abbreviated neurocognitive battery (problem solving, memory, attention, and processing speed) and measures of normative personality traits, grit, and test anxiety. Scores were analyzed in comparison to both their exam performance as well as their exam performance trajectory over time.

Results: A stepwise multiple linear regression model was found to be significant, F (13, 46) = 1.98, p < .05 with cognitive, personality, and social measures as predictors of exam average. Working memory was the only significant individual predictor in the model, β = 0.30, p = .03. Learners whose trajectory of academic performance on written exams declined compared to those with improving trajectories had higher openness to experience as measured by the NEO-FFI-3™, t(58) = 2.06, p = .02.

Discussion: Results suggest that identification of at-risk learners can be enhanced by including additional non-academic data, e.g. lower openness to experience. However, at-risk learner performance is difficult to identify solely on individual factors; thus, interventions should be sensitive to situational variation and systemic in nature.

运用神经认知特征和共同人格特征预测医学本科学生笔试成绩和成长轨迹。
导读:学业补救的一个核心挑战是在重大学业失败之前识别出苦苦挣扎的学习者。标准化的评估可能无法捕捉到更符合人文主义学习理论(如动机、心理需求和对先前失败的反应)的贡献。因此,本研究试图了解神经认知和社会/人格数据如何预测医学院实习前的学业成功和学业轨迹。具体来说,这项研究利用非学术的个人数据和认知评估来帮助识别或预测有风险的学习者。方法:在一所对抗疗法医学院招募了60名学习者,在实习前完成了简短的神经认知测试(解决问题、记忆、注意力和处理速度)和标准人格特质、毅力和考试焦虑的测量。研究人员将分数与他们的考试成绩以及考试成绩随时间的变化轨迹进行了比较。结果:逐步多元线性回归模型显著,F (13,46) = 1.98, p < 0.05,认知、人格和社会测量作为考试平均的预测因子。工作记忆是模型中唯一显著的个体预测因子,β = 0.30, p = 0.03。通过NEO-FFI-3™测量,笔试学业成绩轨迹下降的学习者与轨迹改善的学习者相比,对经验的开放性更高,t(58) = 2.06, p = 0.02。讨论:结果表明,通过加入额外的非学术数据,例如对经验的开放性较低,可以增强对风险学习者的识别。然而,有风险的学习者的表现很难单独由个人因素来确定;因此,干预措施应该对情境变化和系统性敏感。
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来源期刊
Medical Teacher
Medical Teacher 医学-卫生保健
CiteScore
7.80
自引率
8.50%
发文量
396
审稿时长
3-6 weeks
期刊介绍: Medical Teacher provides accounts of new teaching methods, guidance on structuring courses and assessing achievement, and serves as a forum for communication between medical teachers and those involved in general education. In particular, the journal recognizes the problems teachers have in keeping up-to-date with the developments in educational methods that lead to more effective teaching and learning at a time when the content of the curriculum—from medical procedures to policy changes in health care provision—is also changing. The journal features reports of innovation and research in medical education, case studies, survey articles, practical guidelines, reviews of current literature and book reviews. All articles are peer reviewed.
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