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使用主动学习方法教授序列分析和分子系统发育。

Using active learning methodologies to teach sequence analysis and molecular phylogeny.

作者信息

Ortiz Martín Inmaculada, Del Espino Pérez Ángel, García Luque Estefanía, Viguera Mínguez Enrique

机构信息

Department of Cellular Biology, Genetics and Physiology, Faculty of Science, University of Malaga, Malaga, Spain.

出版信息

Biochem Mol Biol Educ. 2025 Jan-Feb;53(1):21-32. doi: 10.1002/bmb.21861. Epub 2024 Oct 14.

DOI:10.1002/bmb.21861
PMID:39400490
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11752413/
Abstract

The great development of high-throughput molecular biology techniques and the consequent generation of massive data have made Bioinformatics essential for undergraduate Bioscience students. The importance of this scientific discipline is evidenced by the huge number of specialized publications, tools, and databases available. Training in Bioinformatics equips undergraduates with transferable skills that can be applied in all fields of Biology, such as programming abilities, data analysis, database management, biological knowledge, statistics, problem solving, and interdisciplinary collaboration. Over the past decade, there has been a notable increase in the number of higher education institutions worldwide that have adopted a competency-based curricula. This approach places a significant emphasis on the actions and skills that students are expected to develop, rather than merely focusing on the information, they are required to memorize. In this educational context, the use of active learning strategies has been demonstrated to enhance student comprehension and competency development. This paper describes the implementation of an active learning approach in a hands-on lesson performed by undergraduate students of Biology at the University of Malaga (Spain). Its main objective is to introduce students to molecular databases and information search systems on genes, proteins, and phylogeny. This is achieved within the framework of a smart campus, which integrates technological and sustainable resources to promote a positive and productive learning environment for the university community. This work presents the content and procedure of this practical activity, as well as the evaluation method and the results of a student survey to assess their opinions.

摘要

高通量分子生物学技术的巨大发展以及随之产生的海量数据,使得生物信息学对于本科生物科学专业的学生来说至关重要。大量专业出版物、工具和数据库的存在证明了这门学科的重要性。生物信息学培训使本科生具备可转移技能,这些技能可应用于生物学的所有领域,如编程能力、数据分析、数据库管理、生物学知识、统计学、问题解决以及跨学科合作。在过去十年中,全球采用基于能力的课程的高等教育机构数量显著增加。这种方法非常强调学生预期要培养的行动和技能,而不仅仅关注他们需要记忆的信息。在这种教育背景下,已证明使用主动学习策略可提高学生的理解能力和能力发展。本文描述了西班牙马拉加大学的生物学本科生在一堂实践课中实施的主动学习方法。其主要目标是向学生介绍分子数据库以及有关基因、蛋白质和系统发育的信息搜索系统。这是在智能校园的框架内实现的,智能校园整合了技术和可持续资源,为大学社区营造积极且富有成效的学习环境。这项工作展示了该实践活动的内容和过程,以及评估方法和学生调查结果,以评估他们的意见。

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