ADEPT Learning Cycles using student tutors improve performance of introductory financial accounting students.
Thomas, William S. ; Bell, Sharon L. ; Shoulders, Craig D. 等
INTRODUCTION
Low pass rates (with passing defined as C or above) in introductory
accounting courses, including principles of financial accounting courses
have plagued many business programs at both community colleges and
4-year institutions over the years. Failure to successfully navigate
these courses negatively impacts retention rates in business programs
and can add to the length of time required for students to complete
business degrees, as these courses often are the first in a series of 3
to 4 courses that must be successfully completed in sequential order.
The accounting education literature, reviewed briefly in the next
section, contains numerous studies involving various efforts to
understand and to improve pass rates in the introductory accounting
courses--some with more success than others. This study focuses on the
application to principles of financial accounting of a technique, the
Analysis of Diagnostic Exam Prompted Teaching and Learning Cycle.
(ADEPT) Learning Cycle, successfully used in an Intermediate Accounting
course (Shoulders & Hicks, 2008). This approach to teaching (and
managing) a principles of financial accounting course is designed to
help students know when they have achieved sufficient mastery of a topic
and to empower them to achieve that proficiency. The ADEPT approach
requires students to complete separate diagnostic exams that have no
direct grade impact. Each diagnostic exam typically covers one of the
major topics included on the graded unit exams. To earn the privilege of
taking each unit exam, which includes the final exam, a student must
demonstrate the required level of proficiency on all related diagnostic
exams prior to the scheduled unit exam.
This teaching and learning cycle also involves one-on-one teaching
and guidance outside of the classroom. The professor-student interaction
is focused on an individual student's misunderstandings and
misconceptions about a specific topic as determined by the diagnostic
exam. This interaction may involve a combination of (1) explanations
related to misunderstandings and (2) direction regarding areas requiring
added study. The diagnostic exam focused instruction provides students
timely feedback on their level of mastery of each major topic, without
grade penalty.
The ADEPT Learning Cycle approach makes students responsible for
learning the material in order to sit for the unit exams. A critical
aspect of the manner in which the ADEPT approach was applied in this
study is that peer tutors (upper level accounting majors) fulfilled the
professor's role in implementing the diagnostic exam cycle, vastly
reducing the professor time commitment required to implement the ADEPT
approach. (A potential added advantage is that several research studies
discussed in the next section indicate that peer tutoring enhances
student performance.)
This study reports an exploratory study that compares performance
of students taught using the ADEPT Learning Cycle--with student
surrogates for the professor--to that of students in courses taught
using traditional methods. This application of the ADEPT Learning Cycle
in introductory financial accounting produced impressive improvements in
student exam grades and C or better pass rates a
In the following section, the authors of this study discuss
selected research on the relationship between:
* Student mentors (peer tutors), and other student interactions,
and student success and
* The use of testing to enhance learning.
Then, the authors explain the manner in which the ADEPT Learning
Cycle approach was applied in this study in detail. Next, we report the
results of comparing student performance in an introductory financial
accounting course taught using the ADEPT approach with those in the same
course taught by the same professor without including the ADEPT
approach. Peer tutors were available to both groups. Finally, we present
the conclusions and contributions of this study, along with its
limitations and possible areas for related future research.
LITERATURE REVIEW
Review of the accounting education literature demonstrates the high
level of importance and interest scholars have assigned to the
introductory financial accounting course and improving student success
in the course. Over the years researchers have sought to understand the
factors that explain success or failure in introductory financial
accounting courses. Baldwin and Howe (1982) investigated the hypothesis
that success in accounting is based on the level of prior accounting
knowledge. Mitchell (1988) suggested that success in mathematics courses
predicted better academic performance in accounting courses. Auyeung and
Sands (1994) found no difference between the performance of female and
male students in this course. Koh and Koh (1999) found gender, previous
work experience, academic aptitude and age to be significant predictors
of academic performance. Other studies have focused on the impact of
high school grades and SAT scores. Bartlett, Peel, and Pendlebury (1993)
concluded that the results of many of the studies clearly indicate that
academic performance in accounting cannot be predicted on the basis of
selected data of accounting students enrolled in introductory accounting
courses. Introductory financial accounting continues to be a challenging
course for the majority of undergraduate business majors.
Other researchers have studied whether different teaching or study
techniques improve student learning and therefore pass rates and
retention in this course. Hostetler and Snyder (2008) determined that
study groups and peer learning had a positive effect on the overall
course grade in financial accounting. Forbes and Spence (1991) describe
improved performance in an engineering class requiring students to
submit problem sheets for peer assessment. Cooper (1994) used learning
teams of four to improve poor performance in a large accountancy class.
Jones and Fields (2001) studied the role of supplemental instruction in
the first accounting course. They concluded that, whether based on
voluntary or mandatory use, supplemental instruction can be effective in
increasing student academic performance.
Gibbs (2000) used formative and summative assessment outside of
class and incorporated the four learning functions of
assessment--capturing student time and effort; generating appropriate
learning activities; providing feedback; and helping students to
internalize standards. His essay placed a major emphasis on the
importance of prompt feedback from "Seven Principles for Good
Practice in Undergraduate Education" (Chickering & Gamson,
1987) and on the work of Forbes and Spence (1991). Forbes and Spence
also determined that feedback was an important component in student
success. They documented that students paid more attention to feedback
provided immediately by their colleagues than to feedback provided, less
promptly, by their teacher. The fact that the teachers' feedback
was more accurate mattered less than how and when it was provided.
Angelo and Cross (1993) suggested that good practices to improve
learning include providing feedback on student learning that is more
systematic, more flexible, and more effective. To improve their learning
Angelo & Cross believed that students need to receive appropriate
and focused feedback early and often.
Additional studies indicate that enhanced testing has positive
effects on student performance. In a three year study, Snooks (2005-06)
determined a direct positive relationship between the number of practice
tests taken and the students' final course grade. Leeming (2002)
used an exam-a day procedure in his psychology courses and found
students significantly improved their performance on course exams and
improved their retention. Roediger and Karpicke (2006) found that
students who studied a passage of prose and then took one (or three)
immediate free recall tests had significantly higher retention rates
than students who studied the passage and restudied the passage one (or
three) additional times but without taking the tests.
Cull (2000) found that frequent testing at distributed intervals
produced significant benefits. Murphy and Stanga (1994) found that more
frequent interim exams (six versus three) improved student performance
on interim exams in an income tax course. More recently, Shoulders and
Hicks (2008) had success implementing an ADEPT learning cycle approach
in an intermediate accounting course. The ADEPT learning cycle included
diagnostic exams and prompt feedback. This research study showed
improved exam grades and course grades as well as better performance of
ADEPT Students in the subsequent Intermediate Accounting II course and
better retention and student satisfaction in the class studied.
Another strategy for improving student performance that has
significant implications for this article is the use of peer tutors.
Gracia and Jenkins (2002) explored student failure in undergraduate
accounting. They found that students became more engaged in their
learning by establishing a relationship with a tutor. Students in this
study indicated the importance of the pivotal role that tutors play in
the students' success. Topping (2005) defines peer tutoring as a
specific role-taking as tutor or tutee, with high focus on curriculum
content and usually also on clear procedures for interaction, in which
participants receive generic and/or specific training. When peer
tutoring is implemented with consideration to the target purpose,
context, and population results, are very good. Topping and Ehly (2001)
synthesized their findings in a theoretical model of peer-assisted
learning that assigns five sub-processes or channels that influence
effectiveness. The model indicates that more elaborate and cognitively
demanding forms of peer tutoring, such as peer tutoring in thinking
skills (Topping, 2001) aim to utilize all of the channels, with both
tutor and tutee operating and benefiting in every channel.
Topping (2005) indicates that the area which has seen the most
growth in widespread use is peer assessment (peers evaluating the
products or outcomes of learning of others). He also indicates that peer
learning has moved from a method perceived as being only for a few
selected learners, to a method used on a class-wide equal opportunity
and inclusive basis. Benefits to helpers are now emphasized at least as
much as benefits to those helped. Arguably, there is no better
apprenticeship for being a helper than being helped (Topping, 2005).
Terrion and Leonard (2007) have further advanced the notion of the
importance of peer mentoring. They defined peer mentoring as an
effective intervention process in which qualified students provide
guidance and support to vulnerable students to enable them to navigate
through their education and ensure outcomes. Their study linked the
mentoring functions with the best type of peer to fulfill the functions.
They established a taxonomy of a list of mentor characteristics most
often associated with positive outcomes from the mentoring relationship
for both mentor and mentee.
Lidren, Meire, and Brigham (1991) concluded that both maximal and
minimal tutorial procedures were effective in enhancing academic
performance of college students. Their overall pattern of
results--positive ratings by both students and peer tutors, increased
academic performance, and high levels of satisfaction at a minimal cost
to the university--provide a strong rationale for the introducing peer
tutors into other courses. Lidren, Meire, and Brigham believe that their
results provide a strong rationale for requiring students to participate
in academic activities outside the classroom. They believe that peer
tutoring may improve the academic skills of advanced undergraduates who
assist other students. In summarizing their conclusions, they state,
"Because the results of this study and others such as McKeachie
(1986) clearly demonstrate the positive effects of peer tutoring, it
appears that peer tutoring should be an important component of the plans
for improving education in the nation's colleges and universities.
The primary need at this point appears to be a large scale systematic
experimental field test of peer tutoring in many classes and disciplines
(Lidren, et al., 1991). Shoulders and Hicks (2008) also conclude that
additional research in accounting principles courses and the use of
superior advanced undergraduate students as surrogates for the professor
in applying ADEPT learning cycles is warranted.
APPLICATION OF THE ADEPT LEARNING CYCLE APPROACH
Shoulders and Hicks (2008) describe the ADEPT Learning Cycle
approach as:
... a system under which:
* The cost of nonconformance is high and immediate--enough to cause
the vast majority of students to implement good study habits and
commitment. The student must score well on the diagnostic exams to be
allowed to take the grade-determining interim exams.
* Student deficiencies are identified by the individual topic
diagnostic exams on a timely basis and in enough detail to provide an
early alert if a student's mastery is not adequate. This
identification enables students to work to achieve an acceptable level
of knowledge and proficiency without direct grade penalty, providing a
diagnostic benefit.
* The instructor provides outside-the-classroom, one-on-one,
faculty-student guidance based on the diagnostic exam results. This
guidance includes appropriate combinations of study direction and
remedial instruction based on the identified needs of each student. The
guidance is focused on assisting the student to understand and address
the deficiencies identified by the diagnostic exam, which becomes a
teaching and learning tool.
A significant modification made in this study, which applied the
ADEPT approach to introductory financial accounting classes, is that
student (peer) tutors, not the instructor, provided the
outside-of-classroom, one-on-one guidance based on the diagnostic exam
results. The tutors used were upper level accounting majors hired by the
university to operate an accounting lab for this purpose. The literature
reviewed in the prior section suggests that there is no reason to expect
qualified peer tutors to diminish any benefits to be gained from the
ADEPT system. Substituting this peer tutor guidance for faculty-student
guidance was viewed as a low-cost approach to making the application of
the ADEPT approach feasible from a faculty workload perspective. The
primary additional demands on faculty time compared to the normal time
devoted to teaching the classes were minimal and consisted primarily of
time spent developing the diagnostic exams and solutions and a limited
amount of time involved in supervising the tutors.
The success of substituting student tutors for the instructor in
this approach is critical to its success. Shoulders and Hicks (2008)
state,
The ADEPT Learning Cycle (a) mandates significant, regular,
professor-student interaction outside of the classroom and (b) makes the
professor, not the student, responsible for determining if the student
needs to continue studying to master the topic. Presumably, the
professor understands the proficiency representing topic mastery and can
provide students meaningful assistance in achieving that proficiency.
Therefore, if the student tutors do not effectively fulfill the
professor's role in this process, it will necessarily fail to
achieve meaningful improvement in student performance. Mandatory
diagnostic exams and the related feedback and assistance are the most
significant features of the ADEPT approach. The professor advised the
students of the topics to be tested at the beginning of coverage of each
chapter. The 19 diagnostic exams normally covered a single topic, and
there were usually one to three separate diagnostic exams for each
chapter. The diagnostic exam topics are listed in Exhibit 1.
Each student had to complete each diagnostic exam successfully at
an 80% or higher level prior to taking the related unit exam, the grades
on which were the primary determinant of the final course grade. Each
unit exam covered two to four chapters. Multiple attempts on diagnostic
exams were permitted as long as the overall requirement was met.
However, students who did not achieve the 80% performance level on each
diagnostic exam topic before time for the unit exam received a zero for
that unit exam. Grades on the diagnostic exams did not impact exam
grades or final course grades, but making their successful completion a
prerequisite for any score other than zero on the unit exams associated
a significant reward with the diagnostic exams.
Diagnostic exams
* were taken outside of class and almost exclusively during
accounting lab hours,
* covered a previously identified topic(s),
* were typically an in-depth problem on the topic(s) that was not
unlike the prerequisite homework, and
* were graded, typically by the peer tutors, as soon as
possible--usually immediately after completion.
The tutor explained any errors to the student when the diagnostic
exam was graded, and students who scored less than 80 percent returned
after additional preparation to retake a diagnostic exam on that topic.
Students could go through this "cycle" multiple times to gain
and to demonstrate the required level of proficiency on a topic. Even
though students were required to complete and submit significant
homework assignments prior to the related diagnostic exam, virtually all
students took at least some of the diagnostic exams more than once.
THE EXPERIMENT AND RESULTS
To evaluate the success of the ADEPT Learning Cycle approach using
peer tutors in the introductory financial accounting courses, we
compared the performances in introductory financial accounting courses
taught by a single professor of:
* Seventy-four students (referred to hereafter as "ADEPT
Students") taught during one academic year using the ADEPT learning
process and
* Eighty-five introductory financial accounting students (referred
to hereafter as "Control Group") taught in the academic year
immediately prior to the year the ADEPT learning cycle approach was
used.
All students in both groups completed the course. Students who
dropped the course--26 out of 100 ADEPT Students and 30 Control Group
students, i.e., approximately 26% of each group)--were excluded from the
data, (The university's Institutional Review Board approved the
study).
The same textbook was used both years. Each course was taught using
the same syllabus covering identical topics. The course grade was based
80% on exam grades for each course in the study and 20% on other
elements. Peer tutors were available to students during each year, and
most of the tutors served both years. Each graded exam was prepared by
professors not teaching the course during the testing period and was
given to all sections of the financial accounting course for the
semester at a common time. Similarly, the multiple choice portion (40%)
of each exam was machine graded, and the problems were divided among
professors teaching the course (and the professor who prepared the exam)
for grading. Except for the problem portion of each exam that he was
assigned, the researcher did not grade his students' exams either
year, virtually eliminating any probability of preparer or grader bias
affecting the results.
Unit exam grades and final course grades were used for t-tests to
examine two hypotheses, stated here in the null form:
[H.sub.1] ADEPT Students' average scores on Principles of
Financial Accounting unit exams were not higher than average scores of
students in the Control Group.
[H.sub.2] ADEPT Students earned final course grades no better than
those of the students in the Control Group.
Unit Exam Scores
The results of the t-test performed to examine H1 are reported in
Panel A of Exhibit 2. The average exam score for ADEPT Students was
76.47 compared to an average of 63.20 for the Control Group.
Levene's test for equality of variances provided no basis to reject
a null hypothesis of equal variances. The t-test results for this H1
indicate that the average exam scores of the ADEPT Students were
significantly higher than those of the Control Group (one-tailed
p-value<.0001).
The Control Group for these tests consists of students who took and
completed the professor's introductory financial accounting courses
(4 sections) in the year prior to his implementing the ADEPT Learning
Cycles approach. Diagnostic exams were not given. 30 other students
dropped the course. The ADEPT Students consist of students who took and
completed his introductory financial accounting courses (4 sections
total) in the year he adopt the ADEPT approach. 26 other students
dropped the course. Successful completion of a series of diagnostic
exams at an 80% or higher level prior to each exam date was required.
Final Course Grades
Test 2 examines the effect of the ADEPT learning process on final
course grades for introductory financial accounting, which ultimately
determine the pass rate given a C or better requirement. Panel B of
Exhibit 2 compares introductory financial accounting final course grades
for ADEPT Students with those of the Control Group. The average course
grade for ADEPT Students (on a four-point scale) was 2.58. That for the
Control Group was 1.60. Again, Levene's test for equality of
variances provided no basis to reject a null hypothesis of equal
variances. H2 is rejected (one-tailed p-value<.001). This result
indicates that there is a statistically significant improvement in the
mean final course grades for ADEPT Students compared to the mean final
course grades of the Control Group.
Also note that 85.1% of the ADEPT students who completed the exams
earned a C or better in the course, which is the level required to meet
the prerequisite for the second required accounting course at the
university. (This is 63% of all students who began the course in the
sections using the ADEPT system). Only 54.1% of Control Group students
who completed the exams earned a C or better. (This represents 40% of
all students who began in these sections). Over 50% more students
achieved the minimum required grade in the course using the ADEPT
system.
Other Possible Causes for Improved Performance
We considered possible causes other than the use of the ADEPT
system for the improved performance in the ADEPT classes. The
possibility of instructor bias was virtually eliminated by the manner in
which the tests were prepared and graded. As noted before, for both the
ADEPT Students and the Control Group the exams were prepared by another
professor, and the instructor whose class results are reported in this
study did not see the exams until shortly before they were administered.
Likewise, he graded only a small portion of each exam. In the year
before using the ADEPT approach, he had no expectation of using that
approach or conducting this study in the following year.
Although tutors were available in the accounting lab each of the
two years in the study, they were rarely used by the Control Group.
Tutors did not see the exams prior to the exam being administered,
therefore could not have provided any insider information to the
students in either year about exam content. No unfair advantage could
have been provided by the tutors. The effect of peer tutoring cannot be
separated from the effect of the ADEPT system in this study. However,
the requirement to take diagnostic exams increased use of the peer
tutors by the ADEPT Students compared to the Control Group.
The relative academic ability of the students in the ADEPT Students
and the Control Group was examined using grade point averages earned at
the university prior to the semester each student enrolled in the
financial accounting class and using SAT scores. Based on information
provided by the university's institutional effectiveness staff, the
overall grade point average (GPA) of the students in the Control Group
at the beginning of the semester in which they were included in the
study was slightly higher than that of the ADEPT Students (2.69 vs.
2.61). [Not all students in either group had a prior institutional GPA
and not all had SAT scores.] The same was true for average Verbal SAT
scores (458 for the Control Group vs. 456 for the ADEPT Students). The
average Math SAT scores for the ADEPT Students (468) were 12 points
above those of the Control Group (456). However, when only the students
who received C or higher in the course are considered, the average Math
SAT score of 480 for the Control Group is higher than that of the ADEPT
Students (474). Another interesting observation is that when only the
students who received C or better are considered, the Control Group
average GPA jumps to 2.98 from 2.68 while that of the ADEPT Students
remains approximately the same, rising from 2.61 to 2.67; and the
average Verbal SAT score of the Control Group increases from 458 to 476
while that of the ADEPT Students falls from 457 to 454. In summary,
these comparisons provide no logical basis for arguing that the superior
results of the ADEPT Students was because the ADEPT Students were
academically superior to those in the Control Group.
Another potential explanation for the significant difference in the
final course grades was the performance on the non-exam component of the
final course grade. However, the average grade earned by the Control
Group on that grade component was higher than that of the ADEPT
Students.
LIMITATIONS
Although the results of the study indicated that applying the ADEPT
Learning Cycle approach using peer tutors improved student performance
in terms of both exam averages and final course grades, the study has
limitations. The results can not be generalized to the broader
population of students in introductory financial accounting classes
because there is no assurance that the students in the study are
representative of the population as a whole. Indeed, there is reason to
presume that they are not. Similarly, it is possible that the difference
resulted from the efforts of exceptionally well qualified peer tutors.
While they were excellent tutors, we have no reason to think that they
were exceptional relative to those who have served this role at other
times--and indeed the majority of the tutors were the same students both
years. The fact that these tutors had a year of tutoring experience
(when tutoring the ADEPT Students) likely was not important because they
were so under-utilized in the year that the ADEPT system was not used.
Further, it is possible that the improved performance of the ADEPT
Students resulted more from the fact that they were forced to invest
more time and energy in the learning process in the course, not from the
technique itself. Finally, we have no way to be sure that this technique
will improve results for every professor. It is possible that it is more
effective for some teaching styles and philosophies than others.
CONCLUSIONS
This study is a follow-up to the Shoulders and Hicks (2008) study
of the use of ADEPT Learning Cycles in Intermediate Accounting I
courses. Like the Shoulders and Hicks study, the results indicate that
applying the ADEPT system improved student exam grades and final course
grades.
Because one of the practical criticisms of the ADEPT approach as
applied in the Shoulders and Hicks study is the significant demand on
faculty time to implement, it is important that this study found similar
results using accounting majors as surrogates for the professor in
applying the labor-intensive steps in the ADEPT system. The accounting
majors were hired as tutors in a lab for a total of about $2,600 per
semester providing a cost effective means of implementing the ADEPT
system. An important side benefit for which anecdotal evidence was
gained is that the peer tutors' understanding of the material was
reinforced and improved in the year that the ADEPT system was used. Too,
some peer tutors have expressed a serious interest in becoming
accounting professors as a result of their experience as tutors.
Another important contribution of this study is the success of the
ADEPT system in introductory financial accounting courses instead of
intermediate accounting courses. Introductory financial accounting
courses generally have the highest level of student demand of all
accounting courses and normally serve as a prerequisite to at least one
other course or require a minimum grade for entry into the various
business majors. Therefore, this course represents an important venue in
which to test the effectiveness of the method. Further, because these
courses are populated predominantly by non-accounting majors instead of
predominantly by accounting majors, the study presumably gives some
indication of whether the technique provides positive outcomes for a
broader range of students and learning styles.
The first two accounting courses typically are required of all
business majors. In many cases a minimum score of a C or C- is required
in the first course before taking the second. The improved performance
demonstrated in this study can potentially lead to better retention
rates for business majors as the accounting courses are often a business
major's most difficult hurdle in the business common body of
knowledge courses. Also, better performance in the introductory
financial accounting may make the accounting major more attractive to a
broader range of students and result in prospective accounting majors
being better prepared for the junior level accounting courses.
RECOMMENDATIONS FOR FUTURE RESEARCH
Several future research questions seem interesting:
1. Will the method improve results in introductory financial
accounting classes at universities with a different student profile than
the one in the study?
2. Can similar results be achieved in the second principles of
accounting course or in other accounting courses?
3. Can similar results be achieved in other disciplines?
4. Can the method be used successfully when a professor teaches a
large lecture and graduate teaching assistants work with small groups of
students using the ADEPT system along with homework?
REFERENCES
Angelo, T. A., & Cross, K. P. (1993). Classroom Assessment
Techniques, A Handbook for College Teachers. 2nd edition. San Francisco,
CA: Jossey-Bass.
Auyeung, P. K., & Sands, D. F. (1994). Predicting success in
first-year university accounting using gender-based learning analysis.
Accounting Education: An International Journal, 3 (3), 259-272.
Baldwin, B. A., & Howe, K. R. (1982). Secondary-level study of
accounting and subsequent performance in the first college course. The
Accounting Review, 57 (3), 619-626.
Bartlett, S. P., Peel, M. J., & Pendlebury, M. (1993). From
fresher to finalist: a three year analysis of student performance on an
accounting degree programme. Accounting Education, 2 (2), 111-122.
Chickering, A. W., & Gamson, Z. F. (1987). Seven principles for
good practice in undergraduate education. American Association for
Higher Education Bulletin, 39 (7), 3-7.
Cooper, K. (1994). Group assessment using closed book exams.
Educational Developments 1 (1): London: London Guildhall University.
Cull, W. L. (2000). Untangling the benefits of multiple study
opportunities and repeated testing for cued recall. Applied Cognitive
Psychology, 14, 215-235.
Forbes, D. A., & Spence, J. (1991). An experiment in assessment
for a large class. In R. Smith (Ed.), Innovations in engineering
education. London: Ellis Horwood.
Gibbs, G. (1999-2000). Changing student learning behavior outside
of class. Essays on Teaching Excellence 11 (1). Available at
http://www.podnetwork.org/publications/teachingexcellence/99-00/V11, N1
Gibbs.pdf
Gracia, L. A., & Jenkins, E. (2002). An exploration of student
failure on an undergraduate accounting programme of study. Accounting
Education, 11 (1), 93-107.
Hostetler, K. M., & Snyder, D. (2008). Accounting for success:
analyzing the effects of study group participation on overall course
grade in financial accounting. Business Education Forum, 63 (1), 19-21.
Jones, J. P., & K. Fields., T. (2001). The role of supplemental
instruction in the first accounting course. Issues in Accounting
Education, 16 (4), 531-547.
Koh, M. Y., & Koh, H. C. (1999). The determinants of
performance in an accountancy degree programme. Accounting Education, 8
(1), 13-29.
Leeming, F. C. (2002). The exam-a-day procedure improves
performance in psychology classes. Teaching of Psychology, 210-212.
Lidren, D. M., Meire, S. E., & T. A. Brigham. 1991. The effects
of minimal and maximal peer tutoring systems on the academic performance
of college students. Psychological Record, 41 (1) 69-77.
McKeachie, W. J. (1986.) Teaching Tips: A Guidebook for the
Beginning College Teacher. 8th edition. Lexington, MA: D. C. Heath Co.
Mitchell, F. (1988). High school accounting and student performance
in the first level university accounting course: a UK study. Journal of
Accounting Education, 6 (2), 279-291.
Roediger, H. L., & Karpicke, J. D. 2006. Test-enhanced
learning. Psychological Science, 17 (3), 240-255.
Shoulders, C. D., & Hicks, S. A. (2008). ADEPT learning cycles
enhance intermediate accounting student learning success. Issues in
Accounting Education, 23 (2), 161-182.
Snooks, M. (2005-2006). Practice tests: a practical teaching
method. Essays on Teaching Excellence 17 (7). Available at
http://www.podnetwork.org/publications/teachingexcellence/05-06/V17, N7
Snooks.pdf
Terrion, J. A., & Leonard., D. (2007). A taxonomy of the
characteristics of student peer mentors in higher education: findings
from a literature review. Mentoring & Tutoring 15 (2) 149164.
Topping, K. J., & Ehly, S. W. (2001). Peer assisted learning: a
framework for consultation. Journal of Educational and Psychological
Consultation, 12 (2), 113-132.
Topping, K. J. (2001). Thinking reading writing: A practical guide
to paired learning with peers, parents, and volunteers. New York:
Continuum International.
Topping, K. J. (2005). Trends in peer learning. Educational
Psychology, 25 (6): 631-645.
William S. Thomas
Sharon L. Bell
University of North Carolina at Pembroke
Craig D. Shoulders
Western Carolina University
William Stewart Thomas is an assistant professor of Accounting and
Information Technology Management at the University of North Carolina at
Pembroke.
Sharon Bell is an associate professor in the Accounting and
Information Technology Department at the University of North Carolina at
Pembroke.
Craig D. Shoulders is an associate professor of accounting at
Western Carolina University.
Exhibit 1
Diagnostic Exams
No. Topic(s) Covered on Diagnostic Exam *
1. Unclassified balance sheet
2. Transaction analysis and journal entries (balance sheet only
transactions)
3. Classified balance sheet and statement of retained earnings
4. Journal entries (balance sheet and income statement
transactions)
5. Adjusting journal entries
6. Closing entries
7. Multi-step income statement
8. Sales (Including discounts, returns, and credit card sales)
9. Accounts receivable, allowance for doubtful accounts, and
bad debt expense (various estimation methods)
10. Bank reconciliation and related journal entries
11. Ending inventory and cost of goods sold computations under
various cost flow assumptions
12. Depreciation methods
13. Journal entries for fixed asset acquisition, depreciation,
and retirement
14. Liabilities--including current vs. long term, contingent
liabilities, payroll and payroll tax transactions--and
working capital and current ratio
15. Present value computations and noninterest bearing note
with entries
16. Bonds Payable--Entries (including issuance, interest, and
retirement) for bonds issued at par and calculation of bond
price and recording of issuance when stated rate and market
rate differ at issuance
17. Bonds payable--Computing and recording interest when bonds
issued at a premium (both straight-line and effective
interest amortization); bond retirement at call price on
call date; balance sheet presentation
18. Sale and issuance of common stock in various circumstances,
cash dividends, and treasury stock transactions
19. Issuance of common and preferred stock, stock dividends
and stock splits, and allocation of cash dividends
between common and preferred stockholders
* This set of diagnostic exams is not necessarily optimal.
Although some of the diagnostic exams used in the study
covered multiple topics, we believe that it is better to
cover only a limited topic on each exam. For example, it is
better for Diagnostic Exam No. 17 to be converted to two
diagnostic exams--one on journal entries for bonds issued
at par and a second on calculating the issue price.
Exhibit 2
Principles of Financial Accounting Results
With and Without Diagnostic Exams
Panel A: Comparison of Student Performance on Exams
Null hypothesis 1: ADEPT Students' average scores on
Principles of Financial Accounting unit exams were not
higher than average scores of students in the Control
Group. (The dependent variable is the exam average for
the semester. Each student took 4 exams.)
ADEPT Control
Students Group
Mean 76.47 63.20
Standard deviation 18.53 19.098
Observations 74 85
Levene's Test for Equality
of Variances (sig) 0.685 --
t statistic 5.66 --
One-tail p value 0.000 --
Panel B: Comparison of Final Course Grades
Null hypothesis 2: ADEPT Students earned final
course grades no better than those of the students
in the Control Group. (The dependent variable is
course grades earned on a 4-point scale, where
A = 4.0.)
ADEPT Control
Students Group
Mean 2.58 1.60
Standard deviation 1.14 1.09
Observations 74 85
Percent C or higher 85.1 54.1
Levene's Test for Equality
of Variances (sig) 0.929
T statistic 5.49
One-tail p value 0.000