International Journal of Teaching and Learning in Higher Education 2009, Volume 21, Number 2, 181-186 http://www.isetl.org/ijtlhe/ ISSN 1812-9129 Readiness Assessment Tests versus Frequent Quizzes: Student Preferences Suzanne E. Weinstein Shao-Wei Wu The Pennsylvania State University York College, CUNY This study compares the effectiveness of two different assessment techniques; readiness assessment tests (RATs) and frequent quizzing. We report student perceptions of the impact of these techniques on the number of readings done prior to the class period, thorough reading of assignments, ability to follow class discussions, ability to participate in class, ability to prepare for exams and exam scores. We also examined student’s overall preferences for assessment technique as well as how preferences varied by learning styles. Readiness assessment tests were generally better than frequent quizzes at encouraging students to do the readings prior to class, follow class discussions, and participate in class. A majority of students preferred readiness assessment tests to frequent quizzes. However, whereas global and/or intuitive learners preferred the readiness assessment tests, sequential and/or sensing learners preferred the quizzes. Frequent assessment enhances student learning. shown that the JiTT technique is associated with The more opportunities students have to work actively increased number of students who do the readings with course material and receive feedback, the better (Howard, 2004), student perceptions of improvement in the chances that they will learn it. Classroom critical thinking ability (Cookman, 2004), and enhanced assessment techniques (Angelo & Cross, 1993), exam scores (Benedict & Anderton, 2004). frequent quizzing (Maki & Maki, 2001; Roediger & Frequent quizzing also helps students to keep up Karpicke, 2006), and readiness assessment tests with the material and reduces the importance of each (Carkenord, D.M., 2004; Padilla-Walker, 2006) are single test, which can mitigate students’ perceived need some of the many available assessment strategies. to cheat. Instructors can use information gathered from Given so many possible strategies, how does an quiz performance to help students prepare for exams. instructor make a choice? The most important factor in Instructors who use frequent quizzing typically employ choosing a strategy is the match between the strategy multiple choice questions (Maki & Maki, 2001; and the learning objective. Beyond that, student Marcell, 2005). Research has shown that frequent perceptions and strategy effectiveness are important quizzing, when compared to a few long tests, increases considerations. the chances that students will do the readings and is Readiness assessment tests (RATs) require students preferred to fewer tests by students who have to respond to questions about the assigned readings experienced it (Connor-Greene, 2000). prior to class discussion (Cookman, 2004; Howard, Studies of assessment effectiveness, such as those 2004; Marrs Blake & Gavrin, 2003). The RATs can be cited above, typically report an overall preference for done on paper at the beginning of class or electronically the assessment type or average increase in the before coming to class. Theoretically, any question type measured outcome (e.g. student performance). could be used to assess students’ readiness to engage in However, the efficacy of any assessment strategy for discussion, but most instructors using this technique an individual student may depend on how well it employ either open-ended questions, such as short matches the student’s learning style. According to answer or essay (Corkenord, 2004; Connor-Greene, Cassidy (2004) “there is general acceptance that the 2000; Cookman, 2004; Marrs, Blake & Gavrin, 2003), manner in which individuals choose to or are inclined or a combination of both open-ended and multiple to approach a learning situation has an impact on choice questions (Benedict & Anderson, 2004; Howard, performance and achievement of learning outcomes.” 2004). The major objectives of RATs are to encourage For example, Zywno and Waalen (2002) showed that students to come to class prepared for discussion and to engineering instruction enhanced by hypertext and keep up with the material to prevent cramming for an multimedia was more effective than traditional exam. When the instructor adapts her behavior based on instruction for Active and Global learners but less responses to readiness assessments, she is doing “Just- effective for Verbal learners. These individual in-Time” Teaching (JiTT) (Benedict & Anderson, differences impact learning through preferences for 2004; Howard, 2004; Novak et al. 1999; Watson & the type of information, the sensory channel through Temkin, 2000). This strategy allows her to spend more which information is perceived, the way information time on certain concepts if student responses indicate is organized, the way it is processed and the way that the need and to incorporate student thoughts and individuals come to understand (Felder & Silverman, examples into the class discussion. Researchers have 1988). Thus, learning styles may impact the Weinstein and Wu Readiness Assessment Tests versus Frequent Quizzes 182 effectiveness of any assessment strategy for any single Student perception surveys. On each of four student. surveys designed for this project, students rated four The aim of the present study was to compare RATs statements about the RATs or quizzes on a five-point and frequent quizzing with respect to the impact of each Likert-scale from strongly disagree to strongly agree. strategy on the number of readings completed, students’ The statements addressed the effect of the assessment thorough reading of assignments, and students’ ability strategy on thorough reading of the material, ability to to follow class discussions, participate in class, and follow class discussions, ability to participate in class, prepare for exams. We also assessed the ability of each and ability to prepare for the exam. On the fourth (final) strategy to predict exam scores. A secondary goal was survey students indicated their preference for RATs or to determine the impact of learning styles on student quizzes. They were also asked to provide any preference for assessment strategy. comments on how the assessment methods helped their learning as well as suggestions they had for improving Method the two assessment methods. The links to these surveys were sent to students within a week after each unit Participants exam. Students completed the surveys online and the results were returned electronically to the second Participants were 51 college students (29 women, author. 22 men) in the first author’s upper level psychology Index of Learning Styles. This is a 44-item forced course, “The Psychology of Fear and Stress,” during choice, Myers-Briggs Type Inventory-like questionnaire the spring semester of 2006 (final enrollment = 60). (Felder & Soloman, 1991). It combines aspects of several The class met twice per week. Thirty-six students (22 learning style models, including Kolb (1984) and Jung- women) completed all four surveys plus the learning Myers-Briggs (Felder and Silverman, 1988). The test- styles questionnaire. Fifteen students didn’t respond to retest reliability of the ILS for a four-week interval one or more of the surveys or the learning styles ranges from .73 to .87 depending on the learning style. questionnaire. These students were excluded from the The instrument is administered online and easily data analysis. understood by students (Zywno, 2003). The responses indicate where individuals fall along four learning styles Materials dimensions, active-reflective (doing something with the information vs. thinking about it), sensing-intuitive Required course assignments. The four-unit (obtaining data through senses vs. indirect perception), course included two different assessment strategies. visual-verbal (preference for pictures, graphs, charts, etc. During the first and third units students completed vs. verbal information, either written or spoken) and readiness assessment tests (RATs) online prior to sequential-global (learning in a step-by-step fashion vs. class. The RATs consisted of two to three open-ended holistically). questions asking for students to describe the major point of the article or areas that were most interesting Procedure and/or least understood. These broad questions were used to prevent students from skimming through the Participants completed the necessary course readings in search of answers to detailed questions. assignments (see above), the Index of Learning Styles, Each RAT was worth four points and students were and four brief surveys, one after each unit exam. All required to complete five of six, for a total of 20 students in the class were offered extra credit (up to 1% points. of the total grade if they completed the learning styles During the second and fourth units, students instrument plus all four surveys) to participate in the completed short online quizzes, which were completed study. In addition, an alternative extra credit assignment by midnight on Fridays. Quizzes included 10 multiple was offered for students who did not want to participate choice questions. Students were required to complete in this study. The second author, who was not an all four quizzes, each worth five points, for a total of instructor, obtained informed consent from interested 20 points. See Table 1. The quizzes were students during a class period early in the semester and administered at the end of a week and covered collected data to prevent the instructor from knowing material from two class periods, whereas the RATs which students participated until the course was were administered prior to each class period. Thus, completed. The informed consent assured students that there were fewer quizzes than RATs. their responses to the study instruments were Students took an in-class, 50-point exam at the anonymous; the instructor would not know who had or end of each unit. The exams included both multiple had not agreed to participate in the study until after the choice and essay questions. course. Weinstein and Wu Readiness Assessment Tests versus Frequent Quizzes 182 Table 1 Assessment Timeline Unit 1 Unit 2 Unit 3 Unit 4 Definitions of Stress Health Effects Stress & Depression, Anxiety and Stress Physiology of of Stress Moderators of Disorders, Cognitive Stress Response Stress, Coping Aspects of Anxiety Date 1/12 1/17 1/19 1/26 2/3 2/10 2/16 2/21 2/23 3/14 3/16 2/24 3/31 4/4 Assessment RAT1 RAT2 RAT3 Ex 1 Q1 Q2 Ex 2 RAT4 RAT5 RAT6 Ex 3 Q3 Q4 Ex 4 Points 4 pts. 4 pts. 4 pts. 50 pts. 5 pts. 5 pts. 50 pts. 4 pts. 4 pts. 4 pts. 50 pts 5 pts. 5 pts. 50 pts. Data Analysis 149, r = .48, p < .008). In addition, students rated the second RAT significantly higher than both quizzes (T = Kolmogorov-Smirnov tests revealed the student 231, r = .49, p < .008; T = 203, r = .52, p < .008) in perception data were not normally distributed. Thus, enhancing their ability to participate in class. No Friedman’s ANOVAs were performed to test significant differences were found with respect to differences in student perceptions of the effect of RATs encouraging students to read articles more thoroughly vs. frequent quizzing on reading the articles more or enhancing students' ability to prepare for exams. See thoroughly, following class discussions, participating in Figure 1. class, and preparing for exams. Friedman’s ANOVA is a non-parametric technique used to test “differences RATs vs. Frequent Quizzing – Readings between experimental conditions when there are more than two conditions and the same participants have The rankings of the percentage of readings been used in all conditions” (Field, 2005). The same completed prior to class were significantly different (χ2 statistic was used to investigate the effect of assessment (3) = 70.55, p < .05) across the four units. The method on the number of assigned readings completed Wilcoxon test suggested that the number of readings prior to the class period and exam scores. that students completed prior to class was significantly Learning styles were calculated by adding one higher during the units that required RATs (mean = point for each response that endorsed a particular 3.36) than during the units that required quizzes (mean dimension (11 questions for each dimension). Scores of = 1.65). 1 – 3 are considered fairly well-balanced; 5 - 7 indicates a moderate and 9 - 11 a strong preference (Felder & RATs vs. Frequent Quizzing - Exam scores Soloman, 1991). Because scores of 1 – 3 indicate a person without a strong preference for one learning The four exam score averages were significantly dimension over the other, only students with scores of 5 different (χ2 (3) = 11.30, p = .01). The Wilcoxon test or greater were included in these analyses. A Chi- suggested that the first exam score average was square test was performed on the learning styles significantly higher than the second exam score average dimensions to explore the relationship between learning (T =519, r = .49). See Figure 2. styles and preference for assessment method. Student Preference Results About 56% of the students reported a preference RATs vs. Frequent Quizzing – Student Perceptions for RATs and 33% reported a preference for quizzes. The remainder of students reported that their Student perceptions differed significantly with preference for one strategy over the other depends on respect to enhancing their ability to follow class the content. Students who preferred RATs indicated in discussions (χ2 (3) = 15.65, p < .001) and to participate their open-ended responses that the questions helped in class (χ2 (3) = 13.17, p < .01). The post hoc them look at the overall meaning of the articles and Wilcoxon signed-rank test with a Bonferroni correction focus on the main points. In addition, having the set at .0083 was used to further explore the differences. RATs due before class helped them prepare to This procedure is used to compare two dependent participate in the classroom discussions. Students who conditions when the data are nonparametric. The preferred frequent quizzes reported that their Wilcoxon test suggested that the students rated the first preference was due to quiz questions showing them RAT significantly higher than the first quiz in what to expect from exams and having only one enhancing their ability to follow class discussions (T = correct answer. Weinstein and Wu Readiness Assessment Tests versus Frequent Quizzes 183 Figure 1 Student Perceptions on the Effectiveness of RATs and Frequent Quizzes on their Ability to Follow Class Discussion and Participant in Class Figure 2 Exam Scores Weinstein and Wu Readiness Assessment Tests versus Frequent Quizzes 184 RATs vs. Quizzes - Student Learning Styles prepared but still need external motivation (such as a RAT) to encourage them to do so. There was a significant association between the Although students’ subjective reports revealed that Sequential-Global dimension and preference for RATs RATs and frequent quizzing had equal effects on their or frequent quizzes, χ2 (1) = 7.00, p < .05. The strength ability to prepare for exams, the actual exam scores of the relationship was significant (Cramer’s V = .73, p were different for the first unit (RAT) than for the < .01). The result suggests that individuals classified as second unit (frequent quizzing). Lower scores for the sequential are more likely to prefer quizzes over RATs, second exam is typical in this course due to the mixed while individuals classified as global are more likely to course content (“psychology” and “biology”). The prefer RATs over frequent quizzes (see Table 2). second unit covers the physiological effects of stress on The association between the Sensing-Intuitive the major body systems, material with which dimension and preference for RATs or frequent quizzes psychology majors, who make up the vast majority of was marginally significant (χ2 (1) = 4.11, p = .058). this course, typically have less experience. Thus, it The strength of the relationship was significant seems reasonable for exam scores to be lower for this (Cramer’s V = .45, p < .05). The result suggests that unit than the other 3 units, which contain less biology. individuals categorized as sensing are more likely to Although the data indicate that, overall, the RATs prefer frequent quizzes over RATs and individuals were more helpful to students than the frequent quizzes, categorized as intuitive are more likely to prefer RATs they also suggest that student learning styles had an over frequent quizzes (see Table 3). No significant impact on the types of assessment methods students association was found between Active-Reflective or preferred. Visual-Verbal dimensions and assessment preferences. The preference for the open-ended RATs by students with a tendency for intuitive and/or global Table 2 learning aligns well with the definition of these learning Preference for Frequent Quizzes styles (see Soloman & Felder, 1991). Intuitive learners or RATs by Learning Style – Sequential or Global prefer seeing relationships over learning facts and are Learning Style more comfortable with abstract concepts than sensing learners. Global learners are able to make connections Sequential Global Total in content without the need for step-by-step RATs 2 5 07 explanations. Thus, it makes sense that individuals who Frequent Quizzes 6 0 06 prefer either of these styles would prefer questions that Totals 8 5 13 require them to comment on the readings overall by stating the main points or the areas about which they Table 3 still have questions. For example, they might be asked Preference for Frequent Quizzes to explain the main point of a chapter that addresses or RATs by Learning Style – Sensing or Intuitive why we have a stress response. In contrast, sensing Learning Style and/or sequential learners may have been more likely to Sensing Intuition Total prefer the multiple choice quizzes due to their comfort learning facts in a linear, step-by-step fashion. The RATs 05 6 11 multiple choice questions were more likely to address Frequent Quizzes 08 1 09 specific facts, such as the hormones involved in the Totals 13 7 20 stress response, and sequential events, such as the cascade of physiological events that make up a stress Discussion response. Constraints related to the practical aspects of the The results of the current investigation suggest that course, such as the timing and question-type differences both readiness assessment tests and frequent quizzing between RATs and frequent quizzing, and the small are equally effective at encouraging students to read sample size suggest caution in interpreting these data. articles thoroughly and prepare for exams. However, The RATs were due prior to a single class period and the RATs generally enhanced students’ ability to follow addressed a single reading. The quizzes, however, and participate in class discussion more than the occurred at the end of a week after two class periods frequent quizzes did. These results are most likely a and typically addressed two readings. Perhaps students result of the fact that students completed more of the prefer to do their course work during the week rather readings before class for RATs than they did for than worrying about taking a quiz by Friday night. quizzes. Student narrative responses to the open-ended Also, the RATs tended to be subjective and were scored questions in the student perception survey suggest that based on whether or not students completed the students recognize the value of coming to class assignment rather than correctness of the responses. In Weinstein and Wu Readiness Assessment Tests versus Frequent Quizzes 185 contrast, the quiz scores were more objective – answers time teaching in a history of photography course. were either right or wrong. Thus, the scoring variation Proceedings of the International Society for the may be an explanation for the students’ RAT Scholarship of Teaching and Learning: The preference. In addition, although the study design Scholarship of Teaching and Learning: attempted to balance the assessment methods across Perspectives, Intersections, and Directions. more biologically-oriented and more psychologically- Bloomington, IL. oriented topics, this could not be done perfectly. It Howard, J. R. (2004). Just-in-time teaching in sociology might be that the students preferred the topics or how I convinced my students to actually read the associated with the RATs over those associated with the assignment. Teaching Sociology, 32, 385-390. quizzes. Alternatively, material for which quizzes were Kolb, D. A. (1984). Experiential learning. Englewood used might be more difficult than that for which RATs Cliffs, NJ: Prentice Hall, Inc. were used. Future studies that address these Felder, R. M., & Silverman, L. K. (1988). Learning and methodological issues are warranted. teaching styles in engineering education. Further investigation is also important to Engineering Education, 78, 674-681. substantiate our interpretation of the learning styles Felder, R. M., & Soloman, B. A. (1991). Index of data. If the preference for RATs vs. quizzes is a result Learning Styles (ILS). Retrieved from of variation in question format rather than other aspects http://www4.ncsu.edu/unity/lockers/users/f/felder/pu of the assessment method, a simple follow-up blic/ILSpage.html investigation in which only question type is varied Field, A. (2005). Discovering Statistics Using SPSS, could substantiate the conclusion. In addition, future Thousand Oaks, CA: SAGE Publications. studies might also explore how self-regulated learning, Maki, W. S. & Maki, R. (2001). Mastery quizzes on the which is a person factor, is related to preference for web: Results from a web-based introductory assessment method (see Pintrich, 2004; Zimmerman, psychology course. Behavior Research Methods, 1998). Instruments & Computers, 33, 212-216. Nevertheless, the present data do suggest some Marrs, K. A., Blake, R. E., & Gavrin, A. D. (2003). reasonable conclusions. Firstly, if an instructor’s Web-based warm-up exercises in just-in-time objective is for students to do the readings prior to class teaching: Determining students’ prior knowledge and be prepared to participate fully in class discussions, and misconception in biology, chemistry, and she should consider using RATs to provide some physics. Journal of College Science Teaching, 33, external motivation. However, if an instructor’s 42-47. objective is for students to learn the material in any way Marcell, M. (August, 2005). Effectiveness of online possible and/or there isn’t enough time to score student quizzing in increasing class preparation and responses every class period, he might consider weekly participation. Poster presented at the annual meeting quizzes as an alternative. In either case, a good strategy of the American Psychological Association, for addressing the variation in learning styles is to Washington, D.C. include open-ended, subjective questions and objective, McKeachie, W. J., & Svinicki, M. (2006). McKeachie’s multiple choice questions in a course assessment teaching tips: Strategies, research and theory for strategy. college and university teachers. New York; Houghton Mifflin Company. References Novak, G. M., Patterson, E. T., Gavrin, A.D., & Christian, W. (1999). Just-in-time teaching: Benedict, J. O., & Anderton, J.B. (2004). Applying the Blending active learning with web technology. just-in-time teaching approach to teaching Upper Saddle River, NJ: Prentice Hall. statistics. Teaching of Psychology, 31, 197-199. Padilla-Walker, L. M. (2006). The impact of daily extra Carkenord, D. M. (1994). Motivating students to read credit quizzes on exam performance. Teaching of journal articles. Teaching of Psychology, 21, 162- Psychology, 33, 236-239. 164. Pintrich, P. R. (2004). A conceptual framework for Cassidy, S. (2004). Learning styles: An overview of assessing motivation and self-regulated learning in theories, models, and measures. Educational college students. Educational Psychology Review, Psychology, 24, 419-444. 16, 385-407. Connor-Greene, P. A. (2000). Assessing and promoting Roediger, H. L., & Karpicke, J. D. (2006). The power of student learning: Blurring the link between testing memory: basic research and implications for teaching and testing. Teaching of Psychology, 27, educational practice. Perspectives on Psychological 84-88. Science, 1, 181-210. Cookman, C. (2004). Improving students’ critical Watson, C., & Temkin, S. (2000). Just-in-time thinking skills through Internet technology: Just in teaching: balancing the competing demands of Weinstein and Wu Readiness Assessment Tests versus Frequent Quizzes 186 corporate America and academe in the delivery of has taught courses in introductory psychology, management education. Journal of Management physiological psychology, health psychology, and fear Education, 24, 763-778. and stress. She has worked in faculty development, with Zimmerman, B. J. (1998). Academic studying and the a focus on assessment, since 2002. She is interested in development of personal skill: A self-regulatory how individual differences influence student perspective. Educational Psychology, 33, 73-86. perceptions and performance in both face-to-face, Zywno, M. S., & Waalen, J. K. (2002). The effect of online and hybrid learning environments. She is individual learning styles on student outcomes in currently providing support for the university-wide technology-enabled education. Global Journal of efforts to improve program assessment processes in all Engineering Education, 6, 35-44. departments across the multi-campus university. Zywno, M. S. (2003). A contribution to validation of score meaning for Felder-Soloman’s Index of SHAO-WEI WU, Ph.D., is the Coordinator of Learning Styles. Proceedings of the American Assessment at York College, CUNY. She is also co- Society for Engineering Education Annual chair of the college-wide Outcomes Assessment Conference & Exposition: Staying In Tune With Committee. She received her Ph.D. in Instructional Engineering Education. Nashville, TN. Systems from Penn State University. Her research interests are in the area of instructional design and ____________________________ individual differences. She is also involved in several institutional research and assessment projects. SUZANNE WEISTEIN, Ph.D., is the Director of Instructional Consulting, Assessment and Research at Acknowledgements the Schreyer Institute for Teaching Excellence at the Pennsylvania State University. She received her Ph.D. We would like to thank the reviewers for their in psychology in 1999 from Penn State and holds a thoughtful comments, which helped us to strengthen the courtesy appointment in that department. Her area of manuscript. expertise involves the mind/body connection and she