| Literature DB >> 32478022 |
Sharon A Stranford1, Judith A Owen2, Frances Mercer3, Roberta R Pollock4.
Abstract
Immunology is a fascinating and extremely complex field, with natural connections to many disciplines both within STEM and beyond. Teaching an undergraduate course in immunology therefore provides both opportunities and challenges. Significant challenges to student learning include mastering the volume of new vocabulary and figuring out how to think coherently about a physiological system that is so anatomically disseminated. More importantly, teaching immunology can be complicated because it requires students to integrate knowledge derived from prior introductory courses in a range of fields, including cell biology, biochemistry, anatomy and genetics. However, this also provides an opportunity to use the study of the immune system as a platform on which students can assemble and integrate foundational STEM knowledge, while also learning about a new and exciting field. Pedagogical theory has taught us that students learn best by engaging with complicated questions and by thinking metacognitively about how to approach solutions. Building this skill set in today's students, who now hail from a broad demographic and who are accustomed to acquiring their knowledge from a variety of different media, requires a new set of teaching tools. Using perspectives from four different immunology educators, we describe a range of student-centered, active learning approaches that have been field-tested in a number of different immunology classrooms and that are geared to a variety of learning styles. In this paper, we explore the hypothesis that active learning approaches to immunology improve comprehension and retention by increasing student engagement in class and their subsequent mastery of complex topics.Entities:
Keywords: active learning; concept maps; immunology education; just-in-time teaching; student-centered learning; technology in education; undergraduate
Mesh:
Year: 2020 PMID: 32478022 PMCID: PMC7232573 DOI: 10.3389/fpubh.2020.00114
Source DB: PubMed Journal: Front Public Health ISSN: 2296-2565
Examples of pre-class questions for just-in-time-teaching.
| 1. (True/False) Primary lymphoid organs are where lymphocytes develop and become activated. Please provide a brief rationale for your choice. |
| 2. (True/False) Innate immunity involves soluble products and is a part of humoral immunity, while adaptive immunity involves the work of B and T cells, or cell-mediated immunity. Please provide a brief rationale for your choice. |
| 3. (Essay) Is adaptive immunity engaged during both a primary and a secondary immune response? What about innate immunity? In other words, what is the relationship, if any, between the innate/adaptive and primary/secondary immune response? |
| 4. (Optional) Do you have any questions from this part of the reading/viewing preparation for class? Please be as specific as possible. |
| 1. (Multiple Choice) Which of the following type/s of PRR/s are responsible for detecting foreign antigens in the cytosol of an infected cell? Please select all that apply. |
| A. TLRs |
| B. CLRs |
| C. NLRs |
| D. RLRs |
| E. ALRs |
| 2. (Multiple Choice) Based on shared vs. unique properties, which two categories of pathogen do you think might be treated most |
| A. viruses and intracellular bacteria |
| B. viruses and extracellular parasites |
| C. extracellular bacteria and extracellular parasites |
| D. fungi and extracellular parasites |
| 3. (Essay) There are only a small number of different ligands, or different “types” of ligands, for TLRs (see Table X in your textbook). What patterns or common features do these ligands share? Thinking of evolution and natural selection, why do you think these types of ligands make “good choices” in terms of recognition structures for the immune system? |
| 4. (Optional) Do you have any questions from this part of the reading/viewing preparation for class? Please be as specific as possible. |
A list of immunology video supplements.
| Crash course | ||
| HHMI biointeractive | ||
| iBiology | ||
| Khan academy | ||
| Kurzgesagt–in a nutshell | ||
| Nature | ||
| Nature immunology | ||
| Walter and Eliza Hall Institute |
Examples of immunology podcasts.
| Bite size bio ( | |
| American Society of Microbiology; | |
| Audioimmunity; informal, low key, likely | |
| Journal of Immunology; too specialized for most undergraduates | |
| Nature; a wide variety of science podcasts of general interest | |
| “Talkin Immunology with BioLegend;” a high quality production from BioLegend |
Figure 1MHC Diversity Activity. Examples of the paper cut outs used to generate a “gene bank” for the MHC diversity activity. We usually make many copies of the same gene in the same color to represent common alleles, and one or a few unique colors for each gene to demonstrate rare alleles.
Figure 2Example of a group generated concept map. An example of a student concept map of innate immunity and inflammation, using the terms listed in Table 5. At the end of each week of class, the instructor assigns a list of important terms from that week for students to concept map, working in groups. One such concept map developed by four students working outside of class is shown. Each boxed term was on the list of assigned terms. The instructor grades the map for accuracy and completion. Students generated this concept map using the Lucidchart program, which has free educational access and allows real-time collaboration between students.
Sample concept map terms for an in class exercise.
| Lymphocyte antigen receptors | Ig domain |
| B cells | Igα |
| T cells | Igβ |
| APCs | CD79α |
| MHC Class I | CD79β |
| MHC Class II | TCRα |
| BCR | TCRβ |
| TCR | CD21 |
| Antigen | CD19 |
| Antigen peptides | CD81 |
| Variable regions | CD3γ |
| Constant regions | CDδ |
| Heavy chains | CDε |
| Light chains | CDζ |
| λ light chain | ITAMs |
| κ light chain | CD28 |
| CDRs | CD80 or 86 |
Terms for the concept map shown in Figure 2.
| Pathogen | Inflammation |
| Integrins | Phagocytes |
| Selectins | Cytoskeletal extension and contraction |
| Extravasation | NETosis |
| Chemokine receptors | PRRs |
| Cytokine receptors | Macrophage |
| APR proteins | Neutrophil |
| IL-1, IL-6, and TNF | PAMPs |
| Fever | Complement |
| Endocrine | Opsonin |
| Paracrine | Opsonin receptor |
| Autocrine | Proteolytic enzyme |
| Cytokine | RNS |
| Chemokine | ROS |
| Edema | TLR |
| Heterodimer | CLR |
| LRRs | RLR |
| NFkB | NLR |
| Viral nucleic acid | LPS |
| Intracellular signaling cascade | Peptidoglycan |
| DNA | Homodimer |
| Transcription factor | IRFs |
| Efferocytosis | |
Figure 3Student-generated B cell development concept map. B cell development concept map. Working in groups of two to four, students arrange the sticky notes on a poster chart in two vertical lines, representing the chronological sequences of events or differentiation states. Next, they draw the horizontal lines that connect the stage of gene rearrangement with the stage of B cell development.
iPad apps useful in immunology classes.
| Notability | Note-taking, writing, drawing |
| Poll everywhere | Clicker questions, with multiple types of questions |
| Google drive | Shared file access |
| Dropbox | Shared file access |
| RCSB protein data bank | Visualizing proteins of the immune system |
| BioLegend | Provides useful information and tools |
| Inspiration | Concept mapping |