| Literature DB >> 33384762 |
Porché L Spence1, Ruth S Phillips1,2, Akeem R McAllister1, Sandra L White1, Gail P Hollowell1.
Abstract
We designed a 16-week scaffolded student-scientist curriculum using inquiry-based research experiences integrated with professional development activities. This curriculum was implemented to teach undergraduate students enrolled in an introduction to biology course about enzyme activity, biochemical reactions, and alcohol fermentation. While working through the curriculum, students completed the entire scientific process by planning experiments, maintaining laboratory journals, analyzing and interpreting data, peer-reviewing research proposals, and producing and presenting a poster. The overall outcome was for students to complete a multiweek, collaborative, student-scientist project using Saccharomyces cerevisiae as the model organism. Student learning outcomes were evaluated using formative assessments (post-Research on the Integrated Science Curriculum survey and peer- and self-reflection worksheets) and summative assessments (pre/post assessments and assignment grades). Results indicated that more than 50% of the students scored 70% or higher on the collaborative student-scientist project, demonstrated several self-reported learning gains in scientific concepts and skills, and reported they would recommend this laboratory course to their peers. By providing the opportunity for students to carry out the entire scientific process, this curriculum enhanced their technical, analytical, and communication skills. ©2020 Author(s). Published by the American Society for Microbiology.Entities:
Year: 2020 PMID: 33384762 PMCID: PMC7747884 DOI: 10.1128/jmbe.v21i3.2225
Source DB: PubMed Journal: J Microbiol Biol Educ ISSN: 1935-7877
FIGURE 1The big ideas reiterated during student-scientist curricula.
Student learning objective and performance assessments.
| Student Learning Objectives | Performance Assessments |
|---|---|
| 1. Use Microsoft Excel to analyze data | Short Course Tutorials: HHMI Microsoft Excel Data Analysis Assignment; Intro to Statistics and Data Analysis Worksheet; Student-Scientist Project |
| 2. Properly operate a micropipette | Lactase Activity Assay; Enzyme Inhibition and Cell Viability Assay; Student-Scientist Project |
| 3. Properly operate a compound microscope | Microscopy and Cell Viability Assignment; Student-Scientist Project |
| 4. Interpret data | Intro to Statistics and Data Analysis Worksheet; Lab Journals; Mini-Posters and Student-Scientist Project Poster |
| 5. Document inquiry-based research in a laboratory journal | Lab Journals |
| 6. Prepare research proposals for hypothesis-driven inquiry-based research experiments | Lactose Intolerance Research Proposal; Enzyme Inhibition Research Proposal; Student-Scientist Project Research Proposal |
| 7. Create poster to communicate scientific findings | Mini-Posters and Student-Scientist Project Poster |
| 8. Design and conduct inquiry-based experiments using the scientific process | Student-Scientist Project |
FIGURE 2The student scientist curriculum scaffold into three units.
Description of assignments and activities used in the study.
| Assignments and Activities | Description |
|---|---|
| Teaching statistics and math using spreadsheet tutorials and Galápagos finches | Electronic learning activity using Microsoft Excel spreadsheets to organize data; use functions to calculate the mean, standard deviation, and standard error of the mean; and create bar graphs with error bars ( |
| Introduction to statistics and data analysis worksheet | Introduces the concepts of enzyme activity, biochemical reactions and the effect of ethnicity on lactose intolerance. Uses secondary lactose intolerance data for artificial patients with different ethnic backgrounds to practice using both Microsoft Excel to organize and analyze the data and create a bar graph with error bars and Quick Cals website ( |
| Readiness assessments | Essentially pop quizzes administered at the beginning a of laboratory session to assess students’ retention of information. Each assessment contained 3 to 4 questions with an assortment of formats including open-ended questions, crossword puzzles, multiple-choice, and matching. |
| Research proposals | Microsoft Word templates containing 21 open-ended questions guided students in designing their research. Questions focused on background information regarding the research topic, hypothesis, experimental design, data collection and analysis, and anticipated outcomes. Research proposals were individual assignments during Units 1 and 2, but a group assignment during Unit 3. |
| Posters | Group assignment using a pre-designed Microsoft PowerPoint template to create mini-posters (8.5″ × 11″) to communicate research results at the end of Units 1 and 2. Traditional-sized posters (36″ × 24″) were printed at the end of Unit 3. |
| Lab journals | Uses a 20-page composition notebook to log details of the research, peer and self-reflections, raw data, data analysis, data interpretations, graphs, pictures, concept maps, and any other relevant information. Lab journals were collected at the end of each unit for an individual grade. New journals were provided to each student prior to starting the Lactase Assay – Lactose Intolerance IBL activity (Unit 1) – and Alcohol Fermentation Assay and Cell Viability Assay – “Which beer is best” IBL activity (Unit 2). A 40-page composition notebook was given to each student prior to executing the SSP (Unit 3). |
| Pre-laboratory video assignments | Watching a video demonstration operating laboratory equipment, micropipettes (Unit 1) and compound microscopy (Unit 2), accompanied by an electronic assignment consisting of multiple-choice, order ranking, or matching questions, administered via Blackboard one week prior to operating the equipment in lab. |
| Student-scientist project | Designed to apply the knowledge and skills acquired during Units 1 and 2 to an experiment focusing on enzyme activity, alcohol fermentation, and cell viability. Working collaboratively as a research team of four students, each group was required to choose a substrate or inhibitor, collect data consecutively over a 3-week period, and present their findings as a final poster presentation. The SSP grade was an average of the scores received on the research proposal, laboratory journals, and final poster presentation. |
| Mock poster competition review committee | Prior to preparing their first mini-poster, students simulated serving on an undergraduate poster presentation competition committee. The purpose of becoming members of scientific organizations and attending scientific meetings was discussed. Each review committee consisted of at least three students and was given a “Mini-Poster Evaluation Form” to critique, score, and rank posters. During the follow-up class discussion, each committee justified their scores while becoming familiar with the expectations for effectively creating a poster. |
| Mock research proposal peer-review panel | Students emulated serving on a blind peer-review panel to demonstrate their proficiency in designing and critiquing research. Research proposal grading rubrics were used as the evaluation criteria. Each team was required to provide written feedback and a funding recommendation. The proposal with the highest score was “funded” with five extra credit points. |
| Poster competition | Students dressed professionally and, as a group, presented their SSP poster to their peers, instructors, and other STEM faculty in a setting mimicking a poster competition at a scientific meeting. The research team with the highest final poster presentation score won the competition. |
Demographic characteristics of the student participants in the study.
| Demographic Characteristics | % | |
|---|---|---|
| Gender | ||
| Female | 41 | 63 |
| Male | 24 | 37 |
| Academic classification | ||
| Early college high school | 2 | 3 |
| First-year freshman | 31 | 48 |
| Freshman | 7 | 11 |
| Sophomore | 19 | 29 |
| Junior | 6 | 9 |
| Ethnicity | ||
| Black or African American | 54 | 83 |
| Hispanic or Latino | 4 | 6 |
| Other | 3 | 5 |
| Prefer not to say | 4 | 6 |
| Generation status | ||
| First-generation | 12 | 23 |
| Continuing-generation | 24 | 46 |
| Professional scientist in family | 9 | 17 |
| Academic major | ||
| Biology | 35 | 54 |
| Chemistry | 7 | 11 |
| Pharmaceutical Science | 16 | 25 |
| Non-STEM major | 5 | 8 |
| Undecided | 2 | 3 |
| High school Biology courses completed | ||
| Regular Biology only | 32 | 62 |
| Honors Biology only | 3 | 6 |
| Regular Biology & AP Biology | 4 | 8 |
| Honors Biology & AP Biology | 1 | 2 |
First-year freshmen are students who enrolled in college during fall 2016.
Freshmen who attended college prior to fall 2016 but did not have enough college credits to be classified as a sophomore.
Non-STEM majors consist of criminal justice, nursing, physical education, psychology, and social work majors.
Mean pre/post assessment skills scores, normalized gains and effect size (n = 56).
| Pre-Assessment Score | Post-Assessment Score | Gain | Effect Size | Alpha | ||
|---|---|---|---|---|---|---|
| Laboratory assessment | 45.5 | 55.58 | 0.17 | 0.78 | <0.001 | 1.00 |
| Scientific method | 53.4 | 55.6 | −0.13 | 0.09 | 0.567 | — |
| Experimental design | 42.2 | 50 | 0.10 | 0.41 | <0.001 | 0.774 |
| Data analysis | 37.6 | 63.2 | 0.37 | 1.27 | <0.001 | 1.00 |
| Reliable scientific literature | 49.6 | 59.9 | 0.15 | 0.47 | <0.001 | 0.824 |
| Technical skills | 55.6 | 54.2 | −0.08 | 0.06 | 0.726 | 0.064 |
| Calculation skills | 26.8 | 56.9 | 0.35 | 1.01 | <0.001 | — |
Indicates the normality test (Shapiro-Wilk) failed; pre/post assessment scores represent the median value.
FIGURE 3Distribution of the pre/post laboratory total assessment percentage scores (n = 56). The assessment consisted of 36 multiple-choice questions that focused on the scientific method, experimental design, data analysis, reliable scientific resources, technical skills, and calculation skills. It was administered at the beginning and end of each semester. A score of 100% represents a perfect score.
Student-scientist laboratory curriculum performance scores.
| Mean | Median | Std. Dev. | Std. Error | Max | Min | ||
|---|---|---|---|---|---|---|---|
| Overall lab grades | 65 | 69 | 70 | 14.2 | 1.76 | 93 | 39 |
| Student-scientist project | 65 | 68 | 71 | 12.4 | 1.53 | 92 | 38 |
| SSP poster presentation score | 64 | 70 | 71 | 13.0 | 1.62 | 99 | 40 |
| Research proposals | 63 | 58 | 64 | 20.0 | 2.52 | 86 | 8 |
| Lab journals | 61 | 64 | 69 | 25.5 | 3.27 | 101 | 10 |
| Mini-posters | 64 | 58 | 60 | 20.2 | 2.53 | 89 | 14 |
Student-Scientist Project (SSP) score is the average of the group research proposal, lab journal, and SSP poster presentation.
Represents the mean score for the assignments completed during Units 1 and 2
FIGURE 4Student performance assessment percentage scores for the research proposal (RP), laboratory journals (LJ), and posters (P) during each unit (n = 65). An opportunity for extra credit points is provided for each assessment, and a score greater than 100% therefore represents a perfect score.
Self-reported learning gains from specific tasks of the student-scientist laboratory curriculum.
| % Indicating High Gain | Median | Mean | Standard Deviation | Standard Error | ||
|---|---|---|---|---|---|---|
| Presenting my science work in posters | 60 | 60% | 4.0 | 3.7 | 1.0 | 0.13 |
| Critiquing the work of other students | 59 | 56% | 4.0 | 3.7 | 1.0 | 0.13 |
| Working with students who major (or probably intend to major) in other disciplines or fields of study | 58 | 62% | 4.0 | 3.8 | 1.0 | 0.13 |
| Working on defining a problem and refining the definition while solving the problem | 59 | 61% | 4.0 | 3.6 | 1.1 | 0.14 |
| Maintaining lab notebooks | 60 | 60% | 4.0 | 3.8 | 1.0 | 0.13 |
| Attempting a complete understanding of a complex problem | 60 | 62% | 4.0 | 3.7 | 1.1 | 0.14 |
| Becoming responsible for a part of a project | 60 | 72% | 4.0 | 4.0 | 0.9 | 0.12 |
| Working together with other students as a whole class | 60 | 65% | 4.0 | 3.9 | 1.0 | 0.13 |
| Engaging in experimental learning in the course | 60 | 67% | 4.0 | 3.8 | 1.0 | 0.13 |
| Working on a lab or problem in which only the instructor knows the outcome | 56 | 61% | 4.0 | 3.7 | 1.0 | 0.13 |
| Working on at least one problem that is assigned and structured by the instructor | 60 | 67% | 4.0 | 3.8 | 1.0 | 0.13 |
| Working on a problem in which the students have some input into the research process and/or what is being studied | 61 | 74% | 4.0 | 4.0 | 1.0 | 0.12 |
| Working on a project or problem entirely of student’s own design | 59 | 73% | 4.0 | 3.9 | 0.9 | 0.11 |
| Working in small groups or teams | 60 | 70% | 4.0 | 3.8 | 1.0 | 0.13 |
| Learning that the use of disciplinary knowledge needs to be accurate and fair | 57 | 70% | 4.0 | 4.0 | 0.9 | 0.12 |
| Reading scientific journal articles | 59 | 53% | 4.0 | 3.6 | 1.1 | 0.14 |
| Collecting data | 61 | 74% | 4.0 | 4.0 | 1.0 | 0.13 |
| Analyzing data | 61 | 74% | 4.0 | 4.0 | 1.1 | 0.14 |
| Learning that disciplines may approach problems in different and sometimes conflicting ways | 59 | 66% | 4.0 | 3.8 | 1.0 | 0.14 |
“High Gain” is the aggregate of “4-Large Gain” and “5-Very Large Gain.” Likert Scale: 1 = No Gain/Very Small Gain to 5 = Very Large Gain.
Self-reported perceived learning gains from the student-scientist laboratory curriculum.
| % Indicating High Gain | Median | Mean | Standard Deviation | Standard Error | ||
|---|---|---|---|---|---|---|
| Clarification of a career path | 59 | 53% | 4.0 | 3.4 | 1.1 | 0.14 |
| Skill in the interpretation of results | 59 | 61% | 4.0 | 3.7 | 1.0 | 0.13 |
| Tolerance for obstacles faced in the research process | 59 | 66% | 4.0 | 3.7 | 0.9 | 0.12 |
| Readiness for more demanding research | 59 | 63% | 4.0 | 3.7 | 1.0 | 0.13 |
| Understanding how knowledge is constructed | 58 | 66% | 4.0 | 3.7 | 1.0 | 0.13 |
| Understanding of the research process in your field | 59 | 64% | 4.0 | 3.8 | 0.9 | 0.12 |
| Ability to integrate theory and practice | 59 | 63% | 4.0 | 3.8 | 1.0 | 0.13 |
| Understanding of how scientists work on real problems | 59 | 71% | 4.0 | 3.9 | 1.0 | 0.13 |
| Understanding that scientific assertions require supporting evidence | 59 | 63% | 4.0 | 3.8 | 1.0 | 0.13 |
| Ability to analyze data and other information | 59 | 63% | 4.0 | 3.8 | 0.9 | 0.11 |
| Understanding science | 59 | 64% | 4.0 | 3.8 | 0.9 | 0.12 |
| Learning ethical conduct in your field | 56 | 63% | 4.0 | 3.8 | 0.8 | 0.10 |
| Learning laboratory techniques | 59 | 64% | 4.0 | 3.9 | 0.9 | 0.11 |
| Ability to read and understand primary literature | 57 | 61% | 4.0 | 3.6 | 1.1 | 0.15 |
| Skill in how to give an effective oral presentation | 59 | 63% | 4.0 | 3.7 | 1.1 | 0.14 |
| Skill in science writing | 59 | 63% | 4.0 | 3.7 | 1.0 | 0.13 |
| Self-confidence | 57 | 58% | 4.0 | 3.7 | 1.1 | 0.14 |
| Understanding of how scientists think | 59 | 64% | 4.0 | 3.8 | 1.1 | 0.14 |
| Learning to work independently | 59 | 59% | 4.0 | 3.7 | 1.0 | 0.13 |
| Becoming part of a learning community | 58 | 62% | 4.0 | 3.9 | 1.0 | 0.13 |
“High Gain” is the aggregate of “4-Large Gain” and “5-Very Large Gain.” Likert Scale: 1 = No Gain/Very Small Gain to 5 = Very Large Gain.
Student expectations of the student-scientist laboratory curriculum (n = 62).
| % Agreeing | Median | Mean | Standard Deviation | Standard Error | |
|---|---|---|---|---|---|
| This course taught me what I wanted to know about the subject matter. | 68% | 4.0 | 3.9 | 0.9 | 0.11 |
| This course challenged me to think critically and in new ways about the subject matter. | 85% | 4.0 | 4.2 | 0.8 | 0.11 |
| Taking this course has motivated me to pursue a career in the sciences. | 58% | 4.0 | 3.7 | 1.0 | 0.12 |
| Taking this course has motivated me to pursue additional courses in this field. | 52% | 4.0 | 3.4 | 1.1 | 0.14 |
| This course helped motivate me to attend graduate/professional school. | 68% | 4.0 | 3.8 | 1.0 | 0.12 |
Likert Scale: 1 = No Gain/Very Small Gain to 5 = Very Large Gain