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Generative retrieval results in positive academic emotions and long-term retention of cardiovascular anatomy using transthoracic echocardiography

机译:经胸超声心动图生成的检索结果会产生积极的学术情感并长期保留心血管解剖结构

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With increasing medical knowledge, procedural, and diagnostic skills to learn, it is vital for educators to make the limited amount of teaching time available to students effective and efficient. Generative retrieval is an effective and efficient learning tool, improving long-term retention through the practice of retrieval from memory. Forty medical students were randomized to learn normal cardiovascular anatomy using transthoracic echocardiography video clips in a generative retrieval (GR) or standard practice (SP) group. GR participants were required to verbally identify each unlabeled cardiovascular structure after viewing the video. After answering, participants viewed the correctly labeled video. SP participants viewed the same video clips labeled with the correct cardiovascular structure for the same amount of total time without verbally generating an answer. All participants were tested for intermediate (1-wk), late (1-mo), and long-term (6- to 9-mo) retention of cardiovascular anatomy. Additionally, a three-question survey was incorporated to assess perceptions of the learning method. There was no difference in pretest scores. The GR group demonstrated a trend toward improvement in recall at 1 wk [GR?=?74.3 (SD 12.3); SP?=?65.4 (SD 16.7); P = 0.10] and 1 mo [GR?=?69.9 (SD15.6); SP?=?64.3 (SD 15.4);P = 0.33]. At the 6- to 9-mo time point, there was a statistically significant difference in scores [GR?=?74.3 (SD 9.9); SP?=?65.0 (SD 14.1); P = 0.042]. At nearly every time point, learners had a statistically significantly higher perception of effectiveness, enjoyment, and satisfaction with GR. In addition to improved recall, GR is associated with increased perceptions of effectiveness, enjoyment, and satisfaction, which may lead to increased engagement, time spent studying, and improved retention.
机译:随着越来越多的医学知识,程序和诊断技能的学习,对于教育工作者而言,至关重要的是使有限的教学时间有效而有效地提供给学生。生成式检索是一种有效且高效的学习工具,可通过从内存中进行检索的实践来提高长期保留率。在生成检索(GR)或标准练习(SP)组中,通过经胸超声心动图视频剪辑将40名医学生随机分组以学习正常的心血管解剖学。观看视频后,要求GR参与者口头确定每个未标记的心血管结构。回答后,参与者观看了正确标记的视频。 SP参与者以相同的总时间观看了标有正确的心血管结构的相同视频片段,而没有口头产生答案。测试所有参与者的心血管解剖结构的中位(1-wk),晚期(1-mo)和长期(6至9mo)保留。此外,还纳入了三题调查以评估对学习方法的看法。预测分数没有差异。 GR组在1周时显示出召回率有改善的趋势[GR?=?74.3(SD 12.3); SP≥65.4(SD 16.7); P = 0.10]和1mo [GR≥69.9(SD15.6)。 SP≥64.3(SD 15.4); P = 0.33]。在6到9个月的时间点,得分存在统计学差异[GR?=?74.3(SD 9.9); SP≥65.0(SD 14.1); P = 0.042]。在几乎每个时间点,学习者对GR的有效性,享受度和满意度在统计学上都有较高的感知。除了提高召回率外,遗传资源还增加了人们对有效性,享受和满意度的认识,这可能导致参与度提高,学习时间延长和留住率提高。

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