Gregory
Allen
a,
Alberto
Guzman-Alvarez
b,
Amy
Smith
b,
Alan
Gamage
b,
Marco
Molinaro
b and
Delmar S.
Larsen
*a
aDepartment of Chemistry, University of California Davis, Davis, CA, USA. E-mail: dlarsen@ucdavis.edu
biAMSTEM/Educational Effectiveness Hub, University of California Davis, Davis, CA, USA
First published on 17th September 2015
Open educational resources (OERs) provide a potential alternative to costly textbooks and can allow content to be edited and adapted to a variety of classroom environments. At the University of California, Davis, the OER “ChemWiki” project, as part of the greater STEMWiki Hyperlibrary, was developed to supplant traditional post-secondary chemistry textbooks. The effectiveness of using this OER was assessed by comparing two general chemistry classes, one using ChemWiki and one using a traditional textbook, during the spring quarter of 2014. Student performance was measured using common midterms, final, and a pre/post content exam. We also employed surveys, the Colorado Learning Attitudes about Science Survey (CLASS) for Chemistry, and a weekly time-on-task survey to quantify students’ attitudes and study habits. The effectiveness of the ChemWiki compared to a traditional textbook was examined using multiple linear regression analysis with a standard non-inferiority testing framework. Results show that the performance of students who were assigned readings from the ChemWiki section was non-inferior to the performance of students in the section who were assigned readings from the traditional textbook, indicating that the ChemWiki does not substantially differ from the standard textbook in terms of student learning outcomes. The results from the surveys also suggest that the two classes were similar in their beliefs about chemistry and minimal overall study time. These results indicate that the ChemWiki is a viable cost-saving alternative to traditional textbooks.
The all-or-nothing aspect of modern textbooks effectively hinders faculty from evaluating and eventually adopting multiple new teaching styles. This is especially detrimental since different topics presented in classes are often better suited for differing pedagogical approaches; hence a mixed approach may be most advantageous. Unfortunately, such mixed instructional approaches require flexible class resources and do not lend well to use of a single traditional textbook. The alternative of adopting multiple textbooks is cumbersome and unreasonably adds to the growing educational expenses for students. Clearly, textbooks must be developed to provide both flexibility and reduced cost to take full advantage of evolving educational opportunities.
The adoption of Open Education Resources (OERs) as alternatives to traditional textbooks addresses both flexibility and cost, while providing instructors the opportunity to easily evaluate and implement different educational approaches in the classroom without excessive investment of time and effort. Moreover, the free nature of OER textbooks helps to reduce growing education costs. Over the past several decades the extra cost of books and supplies in higher education has risen at a rate that is higher than medical expenses and the consumer price index (Perry, 2012). The College Board estimated the cost of textbooks and supplies for the 2013–2014 academic year was $1200 (Baum and Ma, 2014). This is an increase of approximately $300 from what was reported for the 2003–2004 academic year by the US Government Accountability Office (Office, 2005). Increases in textbook costs have risen at twice the rate of inflation (Office, 2005) and can impede access to higher education for many students with limited financial resources. It has become clear that an inexpensive alternative to high textbook costs should be developed, as was highlighted in the Higher Education Opportunity Act (2008).
While clearly beneficial in reducing educational costs, the growing interest in developing and using open-access textbook resources can be an effective mechanism to guide students toward a centralized “enhanced learning environment” capable of not only providing vetted textbook materials, but also self-consistently tracking student-specific activity and performance to identify weaknesses in study habits. The proposed Hyperlibrary project, initiated by the University of California, Davis in 2007, is one such resource that upon sufficient development can provide exceptional flexibility in addressing current and future educational needs. The Hyperlibrary is designed as a collaborative platform that enables dissemination and evaluation of new educational developments and approaches, with the opportunity to implement data-driven assessment of student learning and performance. The STEMWiki Hyperlibrary consists of multiple interconnected and independently operating STEMWiki hypertext applications (ChemWiki, BioWiki, MathWiki, StatWiki, GeoWiki, PhysWiki) that will be eventually augmented with ancillary homework and simulation applications as well as formative assessment modules. The Hyperlibrary's integrated and interdisciplinary nature empowers exceptional flexibility to address current and future educational needs and provides a platform for digital evaluation of cross-disciplinary learning. The content of these STEMWikis is both horizontally (across multiple fields) and vertically (across multiple levels of complexity) integrated within a massively interconnected network that provides, not just single textbooks, but an infinitely large Hyperlibrary through which interconnected STEM textbooks can be built. The ChemWiki is the primary and most developed component of the Hyperlibrary project (Rusay et al., 2011; Allen et al., 2015).
The focus of the STEMWikis is to develop and disseminate viable online post-secondary textbook alternatives within a centrally-integrated OER environment. From these components, we will build a combined assessment infrastructure that tracks and correlates use of individual Wiki-based textbooks with simulations, homework activity and exam performance with a goal of identifying and tracking student strengths and weakness for their benefit across multiple STEM curricula. This is enabled by the broad scope vertical and horizontal nature of the Hyperlibrary.
While traditional textbook construction has followed a simple, yet proven, paradigm whereby an expert (or small group of experts) with advanced training and experiences apply their collective education and expertise towards constructing the required content, the recent success of the OER Wikipedia project has demonstrated that alternative approaches can be similarly powerful with “crowd-sourced” development approaches involving substituting significant effort of a few number of experts with modest effort of many students and educators (at a range of capacities). A clear benefit of such a parallelized approach is that content can be rapidly constructed and updated. The development of the STEMWiki Hyperlibrary follows such an approach and is spearheaded by a consortium of students and faculty over multiple campuses and countries. Development entails collecting, integrating, vetting, and building open-access content within an extensively hyperlinked infrastructure consisting of independent pages containing well-defined concepts (e.g. “Units”, “Chapters”, “Sections” etc.) that are typically written, edited, and vetted by multiple authors.
A well-functioning textbook (whether hyper- or conventional) is much more than just a series of reference topics found in encyclopedias or Wikipedia, but must address additional aspects: (1) an established flow between previously discussed, current and future content and (2) a complementary set of questions to aid student internalization of the text material. Key to the utility of the ChemWiki is its intrinsic flexibility necessary to suitably address these aspects. All Modules containing information are contained in the Core (Fig. 1) and “Wikitexts” are individually constructed for specific classes by creating a hyperlinked structure to the Core Modules. This provides a powerful flexibility in introducing and removing content without affecting other concurrently operating classes and provides the flexibility for instructors to construct Wikitexts that best suit their needs (e.g., ignoring non-integral topics). Each Module contains metadata that outlines the recommended Modules necessary for students to have read prior to the Module to receive a full understanding of the content contained therein.
Wikis provide a simple way to collaboratively generate, and publish reusable on-line content (O'Neill, 2005). In addition to providing up-to-date, peer reviewed, affordable and convenient content, an important pedagogical value of Wikis is how they support students' use of content to achieve learning objectives (Buffa, 2006). Grounded in social constructivism (Parker, 2007), Wikis allow learners to cooperatively construct and organize knowledge. Yang (1996) presented guidelines for incorporating constructivist theories into the design of a hypertext (or hypermedia) document and further evidence has shown that the architecture of hypertext is well-aligned with constructivist learning theories (Shorb and Moore, 2010). Because of their flexible and modular-based approach to instruction, Wikis provide an important alternative to the “one-size-fits-all” approach to instruction where content is presented in a static prepackaged manner. Next generation learning systems promote personalized, flexible, and interactive learning experiences that can take advantage of the inherent Wiki flexibility. Studies have found that students and faculty believe that OERs can be used as an effective classroom resource (Bliss et al., 2013; Allen and Seaman, 2014) and that some students respond more favorably to an OER (Lindshield and Adhikari, 2013). Furthermore, students are generally open to using free online resources and can save a significant amount of money by using them (Bliss et al., 2013; Hilton et al., 2013). Despite the positive attitudes toward OERs, higher education has been slow to adopt OERs and other online learning systems (Bacow et al., 2012; Allen and Seaman, 2014). Research suggests that this may be due to a lack of awareness slowing OER adoption (Allen and Seaman, 2014).
Additional research has focused on assessing the impact of OERs on student performance outcomes. A comprehensive multi-university study of Carnegie Mellon's Online Learning Initiative (OLI) in statistics courses showed that OLI students perform as well as students using traditional textbooks in both overall course performance and in class assessments (Lovett et al., 2008; Bowen et al., 2012). Work done by Hilton et al. in mathematics (Hilton et al., 2013) and psychology (Hilton and Laman, 2012) showed the students using OERs performed as well as those using traditional textbooks. In a study of science classes at public secondary schools, Robinson et al. found that students using OERs performed slightly better (Robinson et al., 2014).
Since the initial SQ ChemWiki experiment, the Chemwiki has been used as the primary resource for two additional classes at UC Davis: one class of Chem 2C taught during summer school 2014 and one class of Chem 2A, first quarter general chemistry, taught during the fall quarter of 2014. These two courses were not taught simultaneously with a control class, but data from these classes are presented and compared to other general chemistry courses taught at the same time. A summary of the included classes can be found in Table 1. The majority of the data presented in this paper are from the initial SQ 2014 experiment.
Class | Year | Quarter | Instructor | Primary resource | Class size | Designation |
---|---|---|---|---|---|---|
Chem 2C | 2014 | Spring | A | ChemWiki | 478 | SQ Wiki |
Chem 2C | Spring | A | Textbook | 448 | SQ Control | |
Chem 2C | Summer | A | ChemWiki | 210 | SS Wiki | |
Chem 2A | Fall | B | ChemWiki | 489 | FQ Wiki |
Students took the course-specific pre-test during the first lab for Chem 2A and in the first discussion/recitation for Chem 2C. The course-specific post-test was embedded into the two-hour final exam for both Chem 2A and 2C. After the students took the final exam, normalized learning gains (NLG) were calculated using the following equation (Hake, 1998):
NLG = (%Post − %Pre)/(100 − %Pre) |
Non-inferiority testing is a method used to test whether a new product or intervention (e.g., the ChemWiki) is a suitable substitute for an existing competitor that is a standard acceptable practice (e.g., the textbook; (Allen and Seaman, 2007)). In non-inferiority testing, an equivalence margin (−δ,δ) is selected based on the maximum difference that one would be willing to accept as a difference between the traditional treatment and the new treatment (Allen and Seaman, 2007). The 90% confidence interval associated with the difference in treatment effects is then calculated, in this case using multiple regression. If the confidence interval includes zero and the lower bound is not less than the lower non-inferiority boundary, it can be concluded that the new treatment is non-inferior. A 90% confidence interval is used because non-inferiority testing utilizes a two one-sided test (1 − 2α) × 100% (Allen and Seaman, 2007), so the confidence interval yields a 0.05 significance level for testing equivalence.
For the purposes of this study, we chose the equivalence margin to be plus or minus 2% because this is the typical grade interval in the introductory chemistry course (i.e., the span for a B is from 83–87) and therefore, a difference of 2% in either direction would not impact a student grade, assuming their grade was right in the middle of a grade span. For example, for a student who earned a score of 85%, we would accept a score of as low as 83% to be non-inferior and a score of 87% to be non-superior.
Multiple regression with a non-inferiority framework was used to estimate the effect of being in the ChemWiki section on midterm 1, midterm 2, final exam score, and total course points. In each model, the dependent variable was modeled as a function of a binary variable indicating whether or not the student was in the ChemWiki section, as well as a series of covariates to control for differences in students' prior achievement and demographic characteristics. Table 2 shows the covariates that were included in the model and the descriptive statistics for the students in the ChemWiki section and the traditional section. In the models, all continuous variables were centered. There were no statistically significant differences between the groups on any of the covariates included in the model.
ChemWiki (n = 377) | Textbook (n = 348) | |
---|---|---|
Mean pretest score | 10.57 | 10.56 |
First generation (%) | 36 | 37 |
Low income (%) | 26 | 25 |
Underrepresented minority URM (%) | 18 | 17 |
Male (%) | 38 | 36 |
Transfer (%) | 4 | 4 |
STEM major (%) | 91 | 90 |
Mean prior units completed | 36.08 | 34.54 |
Mean SAT total score | 1866.00 | 1848.00 |
Students who were missing data on one or more variables included in the model (n = 201), with the exception of SAT scores, were dropped from the analytic sample. Because SAT scores are not required for transfer students, a large proportion of students were missing this variable. Therefore, scores were imputed using multiple imputation methods for students missing this variable. Students who were excluded from the analytic sample were not significantly different from those included on any of the covariates included in the model, with the exception of number of previous units completed (analytic sample mean = 42.27, excluded sample = 35.34, t924 = 3.65, p < 0.000).
Normalized learning gains were compared using independent samples t-tests, with a non-inferiority framework. A two-way repeated measures analysis of variance (ANOVA) was used to examine whether the changes in student's responses to the CLASS Chem differed by the type resource used. Finally, responses to the time on task survey were analyzed using independent samples t-tests to determine whether self-reported time on task differed between students in the ChemWiki and textbook section.
Variable | Post-test | Midterm 1 | Midterm 2 | Final | Total exam points | Course grade |
---|---|---|---|---|---|---|
*p < 0.05, **p < 0.01, ***p < 0.001. Note: All dependent variables are in percentage points; the equivalency margin for non-inferiority is ±2%.a SAT total was imputed using multiple imputation methods. | ||||||
Constant | 70.37*** | 63.89*** | 75.84*** | 38.39*** | 69.80*** | 75.05*** |
ChemWiki (90% CI) | 0.09 (−1.22, 1.39) | −1.45 (−3.12, 0.22) | 0.34 (−1.05, 1.73) | −0.01 (−0.72, 0.71) | −0.33 (−1.53, 0.87) | −0.48 (−1.66, 0.69) |
Pre assessment | 0.43*** | 0.53*** | 0.35*** | 0.25*** | 0.45*** | 0.42*** |
First generation | −1.75 | −1.97 | −2.04 | −0.43 | −1.47 | −1.61 |
Low income | 1.40 | −0.16 | 0.88 | −0.09 | 0.13 | 0.41 |
URM | −0.65 | −1.83 | −0.39 | −0.66 | −1.16 | −0.63 |
Male | 2.59** | −1.24 | 1.67 | 1.11* | 0.98 | 0.53 |
Previous units | −0.05** | −0.12*** | −0.03 | −0.05*** | −0.08*** | −0.09*** |
SAT totala | 0.01*** | 0.01 | 0.01* | 0.01** | 0.01** | 0.01** |
STEM major | 0.92 | 2.56 | 0.55 | 1.00 | 1.68 | 1.52 |
Transfer | −0.90 | −6.54* | −4.29 | −2.47* | −5.03* | −4.20* |
R 2 | 0.26 | 0.24 | 0.16 | 0.30 | 0.30 | 0.28 |
Fig. 2 90% confidence interval of the estimated effect of the ChemWiki on measures of student achievement displayed with the non-inferiority margin. |
The only outcome for which we failed to establish non-inferiority was midterm 1. After controlling for all covariates, the average score on midterm 1 in the textbook was 63.89 and the average in the ChemWiki was 62.45, a difference of −1.45 percentage points. The 90% confidence interval for the difference in midterm 1 was (−3.12, 0.22) which falls outside the (−2, 2) equivalency margin, therefore, we fail to establish non-inferiority for this outcome. Fig. 2 shows the confidence intervals for each outcome variable displayed on the equivalency margin. In this figure, it is apparent that the only confidence interval that goes beyond the equivalency margin is the confidence interval associated with the effect on midterm 1. Because the confidence interval for midterm 1 extends beyond the lower bounds of the equivalency margin, we fail to establish non-inferiority. However, none of the other confidence intervals extend beyond the equivalency margin indicating that the ChemWiki is non-inferior for all other measures of students' achievement.
After applying our non-inferiority criteria, ±2% equivalency margin on the estimates from the multiple linear regression models, we found that the ChemWiki class was non-inferior in all but one performance measure used throughout the study (Fig. 2). Only the first midterm failed to establish non-inferiority but the difference in performance across the two classes was not statistically significant. Midterm 1 was given during the fourth week of the week of the class and it was the first time students had taken the instructors exam. Therefore, it is possible that the students were not acclimated to the ChemWiki, which led to a slight, although not statistically significant, variation in student performance on midterm 1. This may explain why midterm 1 did not meet our non-inferiority criteria. Although the ChemWiki class did not pass our non-inferior testing criteria for midterm 1, the ChemWiki class was found to be non-inferior in areas of overall course and test performance. These results show that the ChemWiki is not inferior to the use of a traditional textbook, providing compelling evidence that the ChemWiki is a viable alternative to the costly traditional textbook.
The results from the time-on-task survey (Table 4) show that the students in the ChemWiki group reported spending more time interacting with their primary resource, spent less time using secondary/non-assigned reading, and overall spent more time on task than the control group. Although the ChemWiki group spent approximately 25 min more per week studying than the control group, we did not observe an increase in performance. In a study done by Bliss et al. the number of students using an OER daily increased but there was not a significant overall change in student performance (Bliss et al., 2013). It is possible that an increase of half an hour in study time is not sufficient to significantly impact student learning. It could also be that the students are spending slightly more time using the ChemWiki because they are following links to non-course related material. The integrated nature of the ChemWiki with other STEMWikis allows for students to explore subjects that are linked to the course specific pages but not covered by the class. A student could spend more time investigating these different subjects and therefore more time on the ChemWiki than if they were to use the traditional textbook. We currently cannot determine when and how often a student goes to non-course specific pages but it is something we plan to do in the future.
ChemWiki (n = 377) | Textbook (n = 348) | |
---|---|---|
*p < 0.05, **p < 0.01, ***p < 0.001.a Time on task is a composite variable created by summing the average amount of hours a student spend reading recommended material, practicing homework problems, and “non-assigned reading materials. | ||
Hours spent reading course materials | 2.03*** | 1.64*** |
Hours spent on practice problems | 1.53 | 1.52 |
Percent of time spent working with friends | 13.85 | 14.56 |
Average number of weekly lectures attended | 2.42** | 2.56** |
Average number of weekly lectures attended NOT registered | 0.20 | 0.15 |
Hours of private tutoring a week | 0.17 | 0.20 |
Hours spent using non-assigned reading | 0.74* | 0.92* |
Time on raska | 3.73* | 3.36* |
Somewhat alarming is the total time (about 3.5 h per week) students reported studying in both classes. On average students are studying about 1.2 hours per lecture hour outside of class where incoming students at UC Davis are expected to study approximately 2 to 3 hours per lecture hour outside of class. When we looked at high ChemWiki users versus low ChemWiki users we found that high ChemWiki users had course grade that were approximately 7.8% higher than low ChemWiki users (Table 5). Although these estimates are corrected for incoming performance characteristics, it is important to note that these findings are still correlational and we cannot say that the high ChemWiki use caused higher course grades.
Low Wiki users (n = 133) | High Wiki users (n = 132) | |
---|---|---|
*p < 0.05, **p < 0.01, ***p < 0.001.a SAT total was imputed using multiple imputation methods. | ||
Wiki page views | 77.43*** | 414.64*** |
First generation (%) | 36 | 33 |
Low income (%) | 26 | 17 |
URM (%) | 20 | 20 |
Male (%) | 45* | 32* |
Transfer (%) | 2 | 4 |
STEM major (%) | 90 | 89 |
Final course score | 71.43*** | 79.76*** |
SAT totala | 1871 | 1848 |
Students in both groups reported spending less than one hour a week on non-assigned (secondary) resources. The time spent on secondary resources accounted for about 20% of the ChemWiki class and 27% of the Control class' overall time on task. The survey was also used to account for students in the ChemWiki class that may have used the textbook as a secondary resource. Using the time on task survey we also found that 14.6% of the students in the ChemWiki section reported using the textbook at least once, while 26.6% of the students in the Textbook section reported using the ChemWiki at least once. Further, we compared students in the ChemWiki section to students in the Textbook section who reported using their primary resources >70% and >80% to determine if there was an effect of using multiple resources. Table 6 shows the average course grade and post exam performance for these two groups of students. In both instances for students who used the primary resource >70% and >80% of the time there wasn't a statistically significant difference in the average performance. The ChemiWiki class' performance also meets our non-inferiority testing model when comparing the course grade and post exam performance of the two primary resource groups. Therefore we believe that the overall comparison of the two classes is valid because of the small percentage of students in the ChemiWiki class using the textbook and the similarity in performance of the two groups who reported using their primary resource >70% and >80% of the time.
Course grade | Post% | |
---|---|---|
Mean C.I. 90% | Mean C.I. 90% | |
70% Wiki (n = 107) | 75.37 ± 4.76 | 71.08 ± 4.37 |
70% Book (n = 97) | 76.37 ± 4.52 | 73.13 ± 4.48 |
80% Wiki (n = 64) | 75.16 ± 6.42 | 71.47 ± 5.52 |
80% Book (n = 53) | 75.84 ± 6.52 | 70.81 ± 6.01 |
One way to potentially improve the amount of time students interact with the material is to increase the amount of collaborations between students. Although this was not explicitly investigated in this study, OERs, wikis specifically, offer an excellent platform for students to collaborate and contribute to group projects (Rasmussen et al., 2013). The ChemWiki itself is a large collaboration between students, faculty, and other contributing authors. Approximately one third of the content has been generated by students and pages have been developed as class projects in undergraduate and graduate classes at UC Davis and other locations. Work done at other institutions and on other wiki platforms has shown that collaborations on wikis can improve student engagement, learning, and writing proficiency (Tsai et al., 2011; Rasmussen et al., 2013; Pence and Pence, 2015). We did not use the Chemwiki as a collaborative platform in this study because group activities are not typically incorporated into the typical UC Davis general chemistry class and we were investigating the ChemWiki's ability to act as a standalone resource. However we plan to use the ChemWiki in the future to incorporate group projects and collaborations because of its ability to easily facilitate collaborative projects.
We used the CLASS Chem survey to investigate how the ChemWiki may impact student perceptions of chemistry. The comparison of the two classes showed that there were no statistically significant differences. Unfortunately, the way the survey was given reduced the overall pre and post response rate of the two classes to about 27% of the total students. However, the students that did take the survey are statistically representative of each class. The overall change in attitudes was similar between the two groups indicating that the two resources change a student's beliefs about chemistry in a similar way. The survey itself does not have questions targeted specifically to the resource that the student is interacting with, therefore we believe that the main effect on a student's opinions about chemistry is the expectations of the instructor and overall classroom experience. It is possible that the resource has the ability to change how a student connects chemistry to the real world, but we did not see any differences in this category of the CLASS Chem survey. However, it is possible for us to easily bring in more real world connections by adapting the ChemWiki content to try and improve the student's beliefs in this area, something that would take a new edition and printing of a traditional textbook.
Work done by Bliss and colleagues has found that students have an overall positive attitude towards OERs and enjoy using the resources online (Bliss et al., 2013). We did not specifically measure the student's attitudes towards the ChemWiki or textbook, but the end of the quarter course evaluations added some insights into the student's attitudes towards the ChemWiki. A couple representative quotes from student's comments show that the ChemWiki was valuable to the students and easy to navigate: “ChemWiki was incredibly well organized and valuable to me” and “I enjoyed the chemwiki textbook and resources and feel that it helped me in the course”. Some students in the textbook class commented that they wish they had more access to a ChemWiki testbank. There was some indication of errors in the ChemWiki and some frustrations with the practice problems used for the class, however because the ChemWiki is a dynamic text we easily addressed these errors the subsequent quarter. Moreover, we plan to build and integrate a more comprehensive homework/practice problem system into the project.
The application of the ChemWiki in a fall quarter Chem 2A class resulted in no significant difference on the common final (β = 0.008, p = 0.298), between one section that taught using the ChemWiki as the primary teaching resource and the other sections that used a traditional textbook, the ChemWiki was also used as the primary teaching resource during Chem 2C 2014 summer session. Because we did not have a control class in these quarters, these finding have low internal validity. However, we believe that because the students in these courses performed on par with students in other sections, both during the same quarters and previous quarters, this provides further evidence that the ChemWiki can be used as the main resource for the entire general chemistry sequence at UC Davis. Overall, the ChemWiki has demonstrated its utility to different courses, instructors and teaching styles. Each quarter new material and functions are being added on to the ChemWiki that allow the OER to replace traditional textbooks and adapt to new and innovative teaching strategies.
Further, the ChemWiki provides a unique opportunity to study student study habits. Using the traffic on the ChemWiki and the Time on Task survey, we can begin to investigate the type of activity and study habits associated with student performance. We are also developing and integrating other Wikitexts in the STEM Hyperlibrary (including more advanced classes than general chemistry) to provide students a broader picture of how chemistry relates to other core subjects.
This journal is © The Royal Society of Chemistry 2015 |