Biochemistry and Molecular Biology Education最新文献

The emergence of ChatGPT as one of the most advanced chatbots and its ability to generate diverse data has given room for numerous discussions worldwide regarding its utility, particularly in advancing medical education and research. This study seeks to assess the performance of ChatGPT in medical biochemistry to evaluate its potential as an effective self-learning tool for medical students. This evaluation was carried out using the university examination question papers of both parts 1 and 2 of medical biochemistry which comprised theory and multiple choice questions (MCQs) accounting for a total of 100 in each part. The questions were used to interact with ChatGPT, and three raters independently reviewed and scored the answers to prevent bias in scoring. We conducted the inter-item correlation matrix and the interclass correlation between raters 1, 2, and 3. For MCQs, symmetric measures in the form of kappa value (a measure of agreement) were performed between raters 1, 2, and 3. ChatGPT generated relevant and appropriate answers to all questions along with explanations for MCQs. ChatGPT has “passed” the medical biochemistry university examination with an average score of 117 out of 200 (58%) in both papers. In Paper 1, ChatGPT has secured 60 ± 2.29 and 57 ± 4.36 in Paper 2. The kappa value for all the cross-analysis of Rater 1, Rater 2, and Rater 3 scores in MCQ was 1.000. The evaluation of ChatGPT as a self-learning tool in medical biochemistry has yielded important insights. While it is encouraging that ChatGPT has demonstrated proficiency in this area, the overall score of 58% indicates that there is work to be done. To unlock its full potential as a self-learning tool, ChatGPT must focus on generating not only accurate but also comprehensive and contextually relevant content.

The Federation of Asian and Oceanian Biochemists and Molecular Biologists (FAOBMB) and the College of Biochemists of Sri Lanka (CBSL) organized a virtual education symposium in 2021 funded by the International Union of Biochemistry and Molecular Biology (IUBMB). The parallel session named “Students’ Perception” was attended by 188 participants from 11 countries. The main objectives of this session were to aggregate participants’ viewpoints on aspects of virtual education, including innovative strategies to enhance motivation and engagement of students, improving teacher–student and student–student interactions, managing stress, and virtual learning platforms. Data were collected via rapporteurs from multiple segments of the session including a mini-introductory talk, poll, role play, and discussions about outstanding student experiences, types of virtual platforms, innovative methods of teaching, student motivation and stress management. The importance of student perception and issues like technological difficulties and the reluctance of students to engage were discussed. In addition to well-established strategies such as using polls, chat box features, and discussions in breakout rooms, participants also proposed exciting learning methods to engage students such as quizzes, competitions and challenges, engagement of multiple sensory modalities, story-based learning, and so forth. This report provides anecdotal evidence on pedagogies described in textbooks and also introduces new ideas based on this existing foundation. Future research should aim to harmonize virtual education with traditional classroom methods and explore innovative virtual tools like avatar-based universities, virtual labs, and user-friendly online assessment platforms. The results apply to all disciplines, and not exclusively to biochemistry and molecular biology (BMB).

Translational medicine (TM) is an interdisciplinary branch of biomedicine that bridges the gap from bench-to-bedside to improve global health. Fundamental TM skills include interdisciplinary collaboration, communication, critical thinking, and creative problem-solving (4Cs). TM is currently limited in undergraduate biomedical education programs, with little patient contact and opportunities for collaboration between different disciplines. In this study, we developed and evaluated a novel interdisciplinary challenge-based educational concept, grounded in the theoretical framework of experimental research-based education, to implement TM in undergraduate biomedicine and medicine programs. Students were introduced to an authentic clinical problem through an interdisciplinary session with patients, medical doctors, and scientists. Next, students collaborated in groups to design unique laboratory-based research proposals addressing this problem. Stakeholders subsequently rewarded the best proposal with funding to be executed in a consecutive interdisciplinary laboratory course, in which mixed teams of biomedicine and medicine students performed the research in a fully equipped wet laboratory. Written questionnaires and focus groups revealed that students developed 4C skills and acquired a 4C mindset. Working on an authentic patient case and the interdisciplinary setting positively contributed to communication, collaboration, critical thinking, and creative problem-solving skills. Furthermore, students were intrinsically motivated by (i) the relevance of their work that made them feel taken seriously and competent, (ii) the patient involvement that highlighted the societal relevance of their work, and (iii) the acquisition of a realistic view of what doing science in a biomedical research laboratory is. In conclusion, we showcase a widely applicable interdisciplinary challenge-based undergraduate concept fostering TM.

This year marks 70 years since the discovery of DNA, and this poem “DNA” is an attempt to make the general audience aware of the basic features of this macromolecule.

We developed an advanced, year-long course sequence in eukaryotic cell and molecular biology in order to increase conceptual understanding. Three years of historical data from a one semester, traditional-lecture, senior cell and molecular biology course (n = 237) were compared with 3 years of data collected from the year-long course sequence (n = 176). There were significant content gains for the students who enrolled in the course sequence when pre- and post-assessments were compared (p < 0.0001). There was an association between earning a C or better in the course sequence and 70% or higher in the post-assessment instrument (p < 0.05). Final course grades for Bio 135A were calculated from three open ended exams and the percentage of correct answers on the clicker questions. For Bio135B, final grades were calculated from three open ended exams, clicker responses, a seven-page literature review on an environmental carcinogen and its effects on signal transduction pathways, and a formal presentation of one of the research articles they used in the literature review. The students who took the second semester of the course passed at higher rates than the students who enrolled in the traditional-lecture course (p < 0.05). Clicker answers to the research problem sets and the final course grades correlated significantly for both semesters of the course sequence (p < 0.01). We conclude that conceptually-connected learning gains can be obtained when the content is taught in a format that includes short lectures and group work to solve research questions.

Process oriented guided inquiry learning (POGIL), is a group-learning method that contributes to the active participation of learners in learning/teaching environments. However, a standard process for using the POGIL in classes is not available. In addition, no systematic reviews using bibliometric analysis in the literature examine the studies concerning POGIL in terms of content and research trends. From this viewpoint, this study aimed to examine the documents related to POGIL with the bibliometric analysis method to contribute to the development of POGIL. It analyses the publications made about POGIL in the period between 1999 and 2023. A total of 179 publications available on the Web of Science were included in the study. It was found following the analyses that the publications were made in various research areas and were published in several journals. They were mostly published in the USA and the researcher with the greatest number of publications was Clifton L. Kussmaul.

Dimensionality reduction techniques are essential in analyzing large ‘omics’ datasets in biochemistry and molecular biology. Principal component analysis, t-distributed stochastic neighbor embedding, and uniform manifold approximation and projection are commonly used for data visualization. However, these methods can be challenging for students without a strong mathematical background. In this study, intuitive examples were created using COVID-19 data to help students understand the core concepts behind these techniques. In a 4-h practical session, we used these examples to demonstrate dimensionality reduction techniques to 15 postgraduate students from biomedical backgrounds. Using Python and Jupyter notebooks, our goal was to demystify these methods, typically treated as “black boxes”, and empower students to generate and interpret their own results. To assess the impact of our approach, we conducted an anonymous survey. The majority of the students agreed that using computers enriched their learning experience (67%) and that Jupyter notebooks were a valuable part of the class (66%). Additionally, 60% of the students reported increased interest in Python, and 40% gained both interest and a better understanding of dimensionality reduction methods. Despite the short duration of the course, 40% of the students reported acquiring research skills necessary in the field. While further analysis of the learning impacts of this approach is needed, we believe that sharing the examples we generated can provide valuable resources for others to use in interactive teaching environments. These examples highlight advantages and limitations of the major dimensionality reduction methods used in modern bioinformatics analysis in an easy-to-understand way.

Retrieval practice is an evidence-based approach to teaching; here, we evaluate the use of PeerWise for embedding retrieval practice into summative assessment. PeerWise allows anonymous authoring, sharing, answering, rating, and feedback on peer-authored multiple choice questions. PeerWise was embedded as a summative assessment in a large first-year introductory biochemistry module. Engagement with five aspects of the tool was evaluated against student performance in coursework, exam, and overall module outcome. Results indicated a weak-to-moderate positive but significant correlation between engagement with PeerWise and assessment performance. Student feedback showed PeerWise had a polarizing effect; the majority recognized the benefits as a learning and revision tool, but a minority strongly disliked it, complaining of a lack of academic moderation and irrelevant questions unrelated to the module. PeerWise can be considered a helpful learning tool for some students and a means of embedding retrieval practice into summative assessment.

In the last decade, video games became a common vehicle for citizen science initiatives in life science, allowing participants to contribute to real scientific data analysis while learning about it. Since 2010, our scientific discovery game (SDG) Phylo enlists participants in comparative genomic data analysis. It is frequently used as a learning tool, but the activities were difficult to aggregate to build a coherent teaching activity. Here, we describe a strategy and series of recipes to facilitate the integration of SDGs in courses and implement this approach in Phylo. We developed new roles and functionalities enabling instructors to create assignments and monitor the progress of students. A story mode progressively introduces comparative genomics concepts, allowing users to learn and contribute to the analysis of real genomic sequences. Preliminary results from a user study suggest this framework may help to boost user motivation and clarify pedagogical objectives.