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International Journal for the Scholarship ofTeaching and LearningVolume 8 Number 2Article 5July 2014Introductory biology course reform: A tale of twocoursesMichele I. Shuster PhDNew Mexico State University - Main Campus, mshuster@nmsu.eduRalph PreszlerNew Mexico State University, Main Campus, rpreszle@ad.nmsu.eduRecommended CitationShuster, Michele I. PhD and Preszler, Ralph (2014) "Introductory biology course reform: A tale of two courses," International Journalfor the Scholarship of Teaching and Learning: Vol. 8: No. 2, Article 5.Available at: https://doi.org/10.20429/ijsotl.2014.080205

Introductory biology course reform: A tale of two coursesAbstractOver the past eight years we have undertaken iterative cycles of course reform in two introductory biologycourses: Biology 111 and Biology 211. Our revisions of these formerly “traditional” lecture courses haveincluded in-class case studies with and without peer facilitators and peer-facilitated small-group workshops.Based on analyses of overall pass rates, as well as pass rates by gender and by underrepresented minority(URM) status, we have found that there are differences in the effectiveness of alternative course models in thetwo courses. In Biol 111, required peer-facilitated workshops improved overall student performance,especially for URM and female students (Preszler, 2009). Here we report that similar workshops were not assuccessful in Biol 211, but that in-class case studies facilitated by peer instructors have improved studentperformance and reduced the performance gap. Clearly, what is the “best practice” for one course is not thebest practice for the other.Keywordsundergraduate, peer instructors, introductory biology, majors, course reformCover Page FootnoteWe thank all of the Biol 211 BioCats and Biol 211 Graduate Teaching Assistants who made theimplementation of the revised course models possible. Tonia Lane, Anja Hansen and Claudia Truebloodhelped coordinate the hiring of BioCats over the course revision process. We would also like to acknowledgethe Biol 211 instructors who have taught in the various course models throughout this process, many ofwhom also contributed to the development of some of the case studies. Dr. Amy Marion helped develop theoriginal revision model. Dr. C. Brad Shuster helped prepare the digital figures. The NMSU- HHMIundergraduate science education programs, funded by the Howard Hughes Medical Institute and our Collegeof Arts and Sciences provided financial support.

IJ-SoTL, Vol. 8 [2014], No. 2, Art. 5INTRODUCTIONLarge-enrollment introductory biology courses continue to bechallenging for both students and instructors. Many of thesecourses are characterized by low pass rates, and are viewed as“gateway” or “barrier” courses (PCAST, 2012). In addition to lowoverall student performance, there is a consistent pattern ofunderrepresented minorities (URMs) having lower pass ratesthan their non-URM peers (e.g. Born, Revelle & Pinto, 2002;Haak, HillRisLamber, Pitre & Freeman, 2011; Rath, Peterfreund,Xenos, Bayliss & Carnal, 2007; Villarejo, Barlow, Kogan, Veazey& Sweeney, 2008). This performance gap contributes to thecontinued underrepresentation of URMs in STEM fields, such thatthe population of students earning STEM degrees and STEMprofessionals does not mirror that of the United States (NationalAcademies of Sciences, 2011; National Science Foundation,2013; Nelson & Brammer, 2010). A lack of diversity in STEMgraduates and STEM professionals is detrimental to creativityand continued leadership in STEM fields (Nelson & Brammer,2010).Our objective was to investigate the impact of iterativecourse-based research to guide curriculum reform. We describeseveral rounds of course reform (using several revised coursemodels) carried out in an effort to improve student success andreduce the performance gap between URMs and non-URMs. Ifstudents are able to succeed in their introductory biology classeson their first attempt, they can progress in their major andreduce their time to graduation. However, it is not enough tofocus simply on pass rates. It is important to ensure thatstudents who successfully complete our introductory courses areadequately prepared for their subsequent coursework, and thattheir experiences in introductory courses do not turn them awayfrom the sciences (e.g. Tanner & Allen, 2004).New Mexico State University is the state’s land grantinstitution, it is classified as a RU/H (Research University: highresearch activity) by the Carnegie Foundation, and is a Hispanicserving institution. In the fall of 2012, 47% of all students on themain campus were Hispanic, and 55% of the freshman class wasHispanic (New Mexico State University Factbook, Fall 2012).Entering freshman ACT scores for the period included in ourhttps://doi.org/10.20429/ijsotl.2014.0802051

Introductory biology course reformstudy are very stable, and averaged 20.64. In an ANOVAanalysis, there are no differences in entering freshmen ACTscores among the course models that we have investigated (ACTdata from Fall 2004 and Fall 2013 New Mexico State UniversityFactbooks). We have two introductory biology courses, each ofwhich serves a variety of majors, as well as students who havenot yet declared a major. Historically, these courses have hadlow pass rates. There was also a large disparity in pass ratesbetween URM and non-URM students. With support from theHoward Hughes Medical Institute’s (HHMI) UndergraduateScience Education Program and our College of Arts and Sciences,we have transformed each course to improve overall pass rates,and reduce the gap between URM and non-URM students. Inaddition to improving grades, we aimed to insure that ourreforms improved student learning and student interest inscience.A variety of approaches have been described to addressstudent success in introductory STEM courses. Some approachesrely on addressing the preparation of incoming students,providing a preparatory experiences for students prior to theirenrollment in the majors introductory course. Such programsinclude BIOS Boot Camp, University of Washington BiologyFellows Program, and the University of California BerkeleyBiology Scholars Program, among others (Buchwitz et al., 2012;Dirks & Cunningham, 2006; Matsui, Liu & Kane, 2003; Wichusen& Wichusen, 2007). The preparatory approach has been shownto improve participating students’ performance in subsequentintroductory biology courses. However, additional benefits canbe gained by supplementing or revising introductory coursesthemselves.Other approaches involve providing out-of-class learningand studying opportunities for students in the class. While thereare many models for these approaches, they generally rely onpeer facilitators and focus on study strategies as well as coursematerial. As examples (and not intended as a comprehensivereview), these programs include Supplemental Instruction (e.g.Rath et al., 2007), Triesman-style workshop groups (e.g. Born etal. 2002; Fullilove & Triesman, 1990), Peer-Led Team Learning(e.g. Gafney and Varma-Nelson, 2008; Hockings, DeNagelis &https://doi.org/10.20429/ijsotl.2014.0802052

IJ-SoTL, Vol. 8 [2014], No. 2, Art. 5Frey, 2008), and other forms of study groups (e.g. Otero,Finkelstein, McCray & Pollock, 2006; Stanger-Hall, Lang & Maas,2010). A common feature of these models is that the out-ofclass group work occurs as a supplement to the lecture,increasing the time that students spend working on the classmaterial. These models positively impact various studentoutcomes including overall pass rate and reducing theperformance gap between URMs and non-URMs. However,requiring additional meetings outside of regularly scheduled classtime can pose a barrier to students who may have extensivework or family commitments. These models also struggle toreach students who do not recognize the effort required tosucceed in university-level science courses until they have fallenbehind. Voluntary programs do not ensure that a sufficientproportion of students will experience the associated benefits.Strategies that reach all enrolled students include modelsof course reform focused on the class itself, typically directed atincreasing the amount of active learning and/or frequency ofassessment. Among the successful approaches that we havedrawn from are strategies to introduce more active andcollaborative learning (e.g. Armstrong, Chang & Brickman, 2007;Handelsman et al., 2004; Knight & Wood, 2005; Tanner, 2009;Walker, Cotner, Baepler & Decker, 2008), to change the natureand frequency of assessment (e.g. Casem, 2006; Freeman et al.,2007; Freeman, Haak & Wenderoth, 2011; Williams, AguilarRoca, Tsai, Wong, Beaupre & O’Dowd, 2011) and to introducecase studies and other problem-based learning to the class (e.g.Allen, Duch and Groh, 1996; Gaffney, Richards, Kutusch, Ding &Beichner, 2008; Herreid, 1994).Some in-class reforms include the use of undergraduatepeer instructors. In these cases, the peer instructors facilitaterequired course activities that take place within the coursestructure and are integral members of the instructional team(e.g. Preszler, 2009; Smith, Stewart, Shields, Hayes-Klosteridis,Robinson & Yuan, 2005). Our successful course reforms haverelied on undergraduate peer instructors facilitating integralcourse activities.One of the courses that we have successfully transformedis Biol 111, The Natural History of Life (Preszler, 2009). Thishttps://doi.org/10.20429/ijsotl.2014.0802053

Introductory biology course reformcourse serves a variety of science and science-related majors, aswell as many students (approximately 23%) who have not yetdeclared a major. Historically the lecture course met three timesa week for 50-minute lectures. As part of our course revision, amandatory small-group workshop replaced one of the threeweekly lectures. While the workshop materials are developed bythe course instructor, the workshops themselves are facilitatedby undergraduate peer instructors (known as Biology LearningCatalysts, or BioCats). As described by Preszler (2009), thechange in course structure was associated with positive studentattitudes, as well as large increases in the proportion of A’s andB’s earned by students, and substantial decreases in theproportion of students earning F’s or withdrawing from thecourse (W’s). Even more importantly, while all studentsappeared to benefit from the course reform, URMs hadsignificantly greater benefits than non-URMs, based on increasesin final course grades in comparison to pre-reform semesters(Preszler, 2009).The focus of this study is on the process of curriculumreform in our other introductory biology course that servesscience majors and students with an academic or professionalneed for biology, Biol 211, Cellular and Organismal Biology.Students in this course are generally first and second yearstudents, representing primarily (but not exclusively) prenursing, biology, biochemistry and agriculture majors. Thiscourse also had a traditionally very low pass rate (56.5% and63.8% in two sections prior to any of the course revisionsdescribed here) and a performance gap between URMs and nonURMs.Here we describe several rounds of course reform (revisedcourse models) carried out in an effort to improve studentsuccess and reduce the performance gap between URMs andnon-URMs in Biol 211. As described below, these course modelshave included the use of in-class case studies, peer-facilitatedand integrated workshops (as described in Preszler, 2009), andpeer-facilitated in-class case studies combined with a peerfacilitated Help Desk. After several semesters of implementationof each course model, we evaluated and made changes to themodel in order to improve outcomes. Interestingly, the 4

IJ-SoTL, Vol. 8 [2014], No. 2, Art. 5of the course that worked well in Biol 111 did not achievecomparable results in Biol 211, reinforcing the importance ofempirical evaluation, even when implementing “best practices” ina course.METHODSCellular and Organismal Biology (Biol 211), is the second of twointroductory courses for biology majors at our institution, but theonly introductory biology course taken by biochemistry and prenursing students. The lecture course is a 3-credit course, and isseparate from the 1-credit Biol 211L laboratory course.Concurrent registration in the lecture and lab is not required,although the vast majority of students enrolled in the lecture doconcurrently enroll in the lab. Total enrollments range betweenapproximately 225 and 310 students per semester, and eitherone or two sections may be offered in each semester. Thus,section sizes range from approximately 125 to 310 students.Course topics include the scientific method, atoms, bonds andmolecules, cell structure, enzyme activity, cellular respirationand photosynthesis, molecular genetics (DNA replication,transcription and translation) and some physiology. The courseis taught by different instructors, who have the flexibility tospend different amounts of time on individual topics and toadjust the grading scheme for their sections. However, allinstructors followed the general course models as describedbelow during this extended course reform process, and oneinstructor taught 13 of the 25 sections included in this analysis(baseline through three distinct course models).Control (Baseline)The control, or baseline, condition was in place from Fall 2003through Fall 2005 (we are only considering academic yearsemesters and are excluding summer sessions). During thistime, 9 sections were offered by 6 instructors. The 3-creditlecture course met for three 50-minute lectures per week. Thesewere largely traditional lectures, with some activities such asthink-pair-share or small group discussion. Beginning in the Fall2005 semester, clickers were introduced into some sections,adding an element of active learning that was intended tohttps://doi.org/10.20429/ijsotl.2014.0802055

Introductory biology course reformengage all students, through a small percent of the final gradebeing earned by scored clicker responses (see Preszler, Dawe,Shuster & Shuster, 2007).Lecture Cases (LC)In Spring 2006, in-class case studies were introduced into thelecture. Eight class meetings (one meeting approximately everytwo weeks) were devoted to working through a case study. Inorder to ensure that students were accountable for the casestudies, case study work product (e.g. an in-class assignment orworksheet) accounted for between 30 and 35% of students’grades in this model, and exams included specific questionsrelated to the case studies. The case studies were intended toreinforce the lecture content as well allow students to applylecture content to novel, interesting and relevant scenarios.Some of the case studies were adapted from published casestudies at the National Center for Case Study Teaching inScience (http://sciencecases.lib.buffalo.edu/cs/), and some werewritten by the instructor. Students were required to completesome form of preparation for the case studies. Typically this wasa reading (from the textbook or a website) accompanied byreading questions to be completed before the in-class casestudy. Some of the questions were more specific to the case,and were essential to work through the case (e.g. cancerstatistics or nutrition information from specific foods).The instructor acted as a facilitator during each case study,ensuring that students kept on task and on time. A graduatestudent teaching assistant also helped facilitate the case studysessions, by circulating through the lecture room with theinstructor and helping student groups that had questions. Boththe instructor and teaching assistant were careful not to providedirect answers during these sessions, but did provide scaffolds tohelp students break their questions down into more manageable(and answerable) questions.In addition to the case studies, clickers continued to be acomponent of the LC model and grading scheme, accounting for15% of the final grade.https://doi.org/10.20429/ijsotl.2014.0802056

IJ-SoTL, Vol. 8 [2014], No. 2, Art. 5Workshops (WRK)We decided to capitalize on the success of the case studyapproach by having students work in small-group, peerfacilitated workshops (see Preszler, 2009 for a completedescription of the our workshop and peer instructor model). Inthis model, students met in the large lecture for two 50-minutemeetings per week. Instead of a third lecture meeting, eachstudent registered for and attended a mandatory 65-minuteworkshop. Each workshop enrolled up to 24 students and wasfacilitated by a BioCat (undergraduate peer instructor), who alsoattended every lecture in the course. The workshop activitieswere very similar to the in-class case studies in design andintent. However, the workshop format and length allowed formore student interactions. Each student group had a largewhiteboard, allowing them to present their work to other groups.The instructors prepared all the workshop materials, and spentapproximately one hour per week training the BioCats on the upcoming workshop. The BioCats suggested modifications duringeach training session and provided feedback on the previousweek’s workshop. The BioCats also graded the students’workshop assignments.The workshops contributed to between approximately 20%and 30% of the course grade, depending on the semester. Theworkshop model also included interactive lectures with clickersand a variety of forms of in-class student talk (Tanner, 2009).The workshop model was implemented for four semesters.Lecture Cases with BioCats (LCBC)Due to disappointing outcomes with the WRK model (see resultsbelow), we decided to revise the course. It was clear that the LCmodel had been more successful than the WRK model in Biol211. We thus decided to build on the prior experience,enhancing it with the addition of BioCats.In the current LCBC model, there are two 75-minutelectures each week. The lectures are interactive, with clickerquestions (students are encouraged to discuss the questionswith their neighbors), think-pair-shares and student-generatedquestions. Approximately once every two weeks, one of thehttps://doi.org/10.20429/ijsotl.2014.0802057

Introductory biology course reformlecture sessions is devoted to an in-class case study, facilitatedby the Instructor and the BioCats (eight in a single large section,or four BioCats in each of two smaller sections). As in the WRKmodel, the BioCats attend every lecture, and grade student casestudy assignments. As in the LC model, students complete apreparatory assignment before each in-class case study. A seriesof clicker questions based on the prep assignment is used in aneffort to ensure student accountability for the prep assignment.One feature of the LCBC model that extends the impact ofBioCats is a Bio Help Desk. Each BioCat schedules three hours ofBio Help desk each week, resulting in approximately 24 hours ofBiol 211 Help Desk each week. BioCats at the Help Desk areavailable to help students with questions about the coursematerial. The BioCats help the students by breaking theirquestions down into smaller steps, asking students to draw aprocess on the whiteboard available at the Help Desk, and/orasking the students to explain their answers. In a recent(typical) semester, 21% of course students signed in at HelpDesk at least once, and 6% of students signed in more than twotimes during the semester.Table 1 summarizes each of the course models describedhere. We are reporting on 16 academic year semesters from Fall2003 to Spring 2011.Table 1: Summary of the Different Course ModelsCourse ModelSemesters/Instructors* DescriptionInteractiveFall 2003-Fall 2005Traditionallectures with(5 semesters/9(CNTRL)sections, 6 instructors; clickers(1,180 students)A (2 sec), B, C (3 sec),D, E & F)Lecture Cases (LC) Spring and Fall 2006Interactive lecturewith clickers; In(432 students)(2 semesters/3sections, 2 instructors; class case studies( 8 per semester)C (2 sec.) & E)facilitated bysingle graduateteaching assistantand 2058

IJ-SoTL, Vol. 8 [2014], No. 2, Art. 5Workshops (WRK)(905 students)Spring 2007- Fall 2008(4 semesters/4sections; 2 instructors;C (3 sec) & E)Lecture Cases withBioCats (LCBC)(1,444 students)Spring 2009- Spring2011(5 semesters/9sections; 3 instructors;C (5 sec), G (3 sec) &H)Two interactive 50min lectures withclickers, one 65minute workshopfacilitated byBioCatsTwo 75-minutelectures per week;interactive plusfull-period in-classstudies every 2weeks, led byInstructor &facilitated byBioCats. BioCatsfacilitate HelpDesk.*Individual instructors are designated with a letter (A-H), and listed in eachmodel. For instructors that taught more than one section in each model, thenumber of sections is indicated.Assessment OverviewIn order to determine whether the course models were meetingour goals of increasing student success, we examined overallcourse grades in each course model across all course instructors.We additionally examined grades based on gender and ethnicity,to see if any course model was differentially impacting specificgroups of students in the course. We recognize that trackingcourse grades can be confounded by grading schemes,particularly the proportion of points associated with exams. Asdiscussed below, all three revised models added pointsassociated with the main intervention (relative to control/nointervention). Among all the revised models, the percent ofpoints associated with each feature (e.g. in-class case studiesand workshops) ranged from a low of 20.5% (one WRKsemester) to a high of 35% (the first LC semester), typicallyhovering around 30%.We used specific questions from student evaluations of thecourse in order to determine student opinions of each coursehttps://doi.org/10.20429/ijsotl.2014.0802059

Introductory biology course reformmodel. As many factors influence student opinions andresponses on student evaluations, we are only reporting thestudent evaluations for one instructor (“C”) who taught a largenumber of the sections in each of the revised models (two of theLC sections, three of the WRK sections, and five of the LCBCsections).We also monitored student performance on multiple-choiceexam questions on a traditionally challenging topic (cellularrespiration), to see if overall improvements in student gradeswere paralleled by improvements in performance on a specificcourse topic. Again, to reduce sources of variability in this morefine-scale analysis, we are only reporting exam performancefrom the same single instructor.Course GradesRelationships between course grades and course model, genderand ethnicity were evaluated using two-way and three-waycontingency table analyses. In all cases, if the probabilityassociated with the Pearson χ2 was 0.01, we concluded that thevariable(s) in question had a significant impact on studentgrades.We used two-way contingency tables to look at the impactof course model on course grades- specifically, whether thedistribution of grades differed in the different course models. Wealso used two-way contingency tables to determine whethergrade distributions differed between females and males, andwhether grade distributions differed between URMs and nonURMs. URMs are students who self-identified as being AfricanAmerican, Latino or Native American, and non-URMs arestudents who have self-identified as Asian American orCaucasian. Students who chose not to identify a race orethnicity, or who selected “other” during the institutionalapplication process were not included in the ethnicity analysis.The three-way contingency table analyses were used todetermine the impact of the different course models on therelationship between gender and grades (did females and malesrespond similarly to the different course models?) and 0510

IJ-SoTL, Vol. 8 [2014], No. 2, Art. 5and grades (did URM and non-URM students respond similarly tothe different course models?).In addition to evaluating grade distributions, we alsoexamined percent changes in grades, relative to the control. Inthese cases, we first calculated the percent of students earningeach letter grade in each case (e.g. the percent A’s, B’s, C’s, D’s,F’s and W’s earned by URMs in each course model). We thensubtracted the % of each grade in the control from the % ofeach grade in a given model (e.g. the % of A’s earned by URMsin the control was subtracted from the % of A’s earned by URMsin the LC model). This difference was then expressed as a % ofthe value in the control. As a hypothetical example, if the % ofA’s earned in the control was 14%, and the % of A’s earned in aparticular model was 20%, the difference is 6%, which is a42.9% improvement in A’s relative to the 14% in the control.Scores on cellular respiration exam questionsIn order to determine if observed improvement in course gradeswas accompanied by an improvement in understanding of aspecific topic, rather than an artifact of changing course gradingschemes, midterm and final exam questions pertaining to thistopic were analyzed from certain sections taught by a singleinstructor (“C”). Each question was evaluated for the percentageof students that answered it correctly within a class section. Forsome of the older semesters, either no data was available, oronly partial data was available (e.g. questions from only oneversion of the midterm, representing only a subset of students).Table 2 shows the data available for this analysis. In addition toplotting the averages for each course model, we used an ANOVAto investigate whether there were significant differences (p value 0.05) in cellular respiration exam question scores in thedifferent course models.Table 2: Cellular Respiration ExamSemester Course# tudents335411

Introductory biology course udent EvaluationsAs one instructor taught a substantial number of the sections ineach revised format, we examined course evaluation data forthat instructor. Focusing on a single instructor who taught in allfour versions of the course allowed us to compare studentevaluations of the four course models without confounding thecomparisons with instructor effects. Specifically, we focused onhow students responded to three questions about the courseformat: whether the specific format (LC, WRK, LCBC) madethem more interested in the course content, whether the specificformat (LC, WRK, LCBC) helped them understand the content,and whether the specific format (LC, WRK) was a positiveaddition to the course. Students were also asked about theircurrent interest in biology. These questions were embedded onthe anonymous end-of-semester student evaluations of thecourse. Students responded on a 5-point Likert scale (stronglyagree, agree, neutral/no opinion, disagree and stronglydisagree). The percent of students selecting each response wascalculated for each section/semester. These percentages wereaveraged for each course model, to obtain an overall studentevaluation of each course model.This research was reviewed and approved by theinstitutional IRB (protocol # 354).RESULTSGrades and Course ModelThe distributions of grades differed significantly between the fourdifferent course models (Pearson chi-squared p 0.001). Thedistributions of the percentages of each letter grade are shownin Table 3. The percent change of each letter grade relative tohttps://doi.org/10.20429/ijsotl.2014.08020512

IJ-SoTL, Vol. 8 [2014], No. 2, Art. 5the control is shown in Figure 1. The significance of thedifferences appear to be driven by large increases in B’s relativeto the control, and a decrease in F’s and W’s relative to thecontrol (Figure 1). These trends are generally consistent for eachof the three revised course models.Table 3: Distribution of the Percentages of Letter GradesCourse 11.08in Each“W”11.956.948.298.10Figure 1: Changes in Grades with Each Course ModelGrades and GenderThere were no significant differences in the grade distributions ofmales and females, when pooled from Fall 2003 through Spring2011 (i.e. across all the course models) (Pearson Chi-squaredp 0.75; Table 4).https://doi.org/10.20429/ijsotl.2014.08020513

Introductory biology course reformTable 4: Overall Course Grades (Fall 2003- Spring 2011)Males and 9124.3524.0312.3413.88Females 14.8424.3723.2713.4915.02for“W”9.509.01While males and females did not have differentdistributions of grades when averaged across all four coursemodels, males and females did respond differently to changes incourse models (3 way contingency table, Pearson chi-squaredp 0.001). The percent changes (relative to control) are shown inFigure 2. In comparison to the control semester, female’spercent increase in A’s and B’s was highest in the LC model, andthe LC model resulted in the largest reduction of W’s (coursewithdrawals) for females. In contrast, males showed no increasein A’s with the LC model, large increases in A’s and B’s with theLCBC model and concurrent reductions in D, F, and W’s with theLCBC model. In general, females performed best with the LCmodel, while males’ performance was highest with the LCBCmodel.Figure 2: Changes in Grades for Females and Males in DifferentCourse Models a. Female grades b. Male gradesGrades and URM StatusWhen looking at the overall distribution of grades pooled fromFall 2003 through Spring 2011 (i.e. across all the 4

IJ-SoTL, Vol. 8 [2014], No. 2, Art. 5models), URMs and non-URMS performed significantly differentlyfrom one another (Pearson Chi-squared p 0.001) (Table 5). Inthi

Michele I. Shuster PhD New Mexico State University - Main Campus, mshuster@nmsu.edu Ralph Preszler New Mexico State University, Main Campus, rpreszle@ad.nmsu.edu Recommended Citation Shuster, Michele I. PhD and Preszler, Ralph (2014) "Introductory biology course reform: A tale of two courses,"International Journal