AN ANALYSIS OF VARIATION IN TEACHING EFFORT
ACROSS TASKS IN ONLINE AND TRADITIONAL COURSES
Gregory W. Hislop
College of Information Science and Technology, Drexel University, 3141 Chestnut St., Philadelipia, PA, U.S.A.
Heidi J.C. Ellis
Department of Engineering and Science,Rensselaer at Hartford, 275 Windsor St. Hartford, CT, U.S.A.
Keywords: Online education, Instructor time, Asynchronous Learning Networks, Higher Education
Abstract: As the role of the internet and internet technologies continues
to grow in pace with the rapid growth of
online education, faculty activities and tasks are changing to adapt to this increase in web-based instruction.
However, little measurable evidence exists to characterize the nature of the differences in teaching effort
required for online versus traditional courses. This paper reports on the results of a quantitative study of
instructor use of time which investigates not only total time expended, but also examines differences in
types of effort. The basis of the study is a comparison of seven comparable pairs of online and traditional
course sections where instructors recorded time spent during course instruction for the seven pairs. This
paper discusses relevant related work, presents the study motivation and design, discusses how teaching
effort varies across different tasks between online and traditional courses, and presents thoughts for future
research. The results of this study indicate that instructors of online courses spend more time on direct
interaction with students when compared to instructors of traditional courses, but spend less time on other
activities such as grading and materials preparation.
1 INTRODUCTION
The use of the Internet as a distance education
medium continues to grow and many institutions
offer Internet courses using asynchronous,
computer-based instruction. This growth is
changing the faculty role and requires a shift in the
expenditure of time as faculty teach online.
Few quantitative studies exist on faculty use and
d
istribution of time when teaching online courses. A
perceived increase in level of interactivity between
faculty and students was observed by Hiltz and
Turroff (Hiltz & Turroff, 2002), Young (Young,
2002), and Salmon (Salmon, 2002). Based on
nineteen studies performed at NJIT, Hiltz and Turoff
recommend that in order to build student confidence
in an online course, faculty should be online
frequently. In addition, Hiltz and Turoff emphasize
the need for frequent interactions with students early
in the semester to establish a foundation of trust, and
also indicate that this structure of confidence should
be preserved and strengthened by maintaining a high
level of interaction throughout the semester.
Young (Young, 2002) comments on the changes
requ
ired by faculty when e-teaching in order to meet
students’ expectations of immediate response to
questions and requests for interaction. In fact, this
increased pattern of interaction is reinforced by the
structure imposed by some academic institutions that
requires instructors to respond to student email or
bulletin board postings within 24-48 hours. Indeed,
in her keynote address to the 2002 EduCAT Summit,
Dr. Gilly Salmon (Salmon, 2002) emphasized that
the use of time in online courses is more flexible
than in courses taught in a traditional mode and that
instructors of online courses should expect to adapt
their schedules to the online mode of education.
Other researchers have also noted increased
interactivity in online courses (Hislop & Atwood,
2000; Hartman, Dziuban & Moskal, 2000; Schifter,
2000a; Schifter, 2000b).
The major drawback to the studies discussed
ab
ove is the use of a survey or interview-based
approach that relies on faculty opinions and
202
W. Hislop G. and J. C. Ellis H. (2004).
AN ANALYSIS OF VARIATION IN TEACHING EFFORT ACROSS TASKS IN ONLINE AND TRADITIONAL COURSES.
In Proceedings of the Sixth International Conference on Enterprise Information Systems, pages 202-207
DOI: 10.5220/0002625002020207
Copyright
c
SciTePress
observations rather than measurable data. The most
useful research on faculty time spent on various
teaching tasks for online and traditional courses
come from studies in which faculty measured time
spent on various activities required to deliver an
online course. DiBiase (DiBiase, 2000) investigated
the time spent on various activity categories in
teaching two similar geography courses, one taught
online and the other taught using a traditional, face-
to-face format. However, while DiBiase normalized
the total time figure on a per student basis to provide
an accurate picture of the total amount of time
required to teach online and traditional courses, the
study did not present normalized figures for the task
categories, making it difficult to clearly ascertain the
difference in effort expended across tasks between
the two modes of delivery. Visser (Visser, 2002)
performed a similar study of faculty effort using a
more detailed categorization of tasks, but also did
not normalize the time figures for task categories.
This paper reports on a study involving the
detailed recording of instructor time in comparable
online and traditional course sections to support a
comparison of the distribution of faculty time over
tasks between the two modes of delivery. Initial
results of the study which indicate little significant
difference between the total time required to teach
online and traditional courses are reported in
(Hislop, 2001) while details on the study
environment and approach are provided in (Hislop &
Ellis, 2004). This paper provides more detailed data
on faculty time distribution across different teaching
activities, using quantitative data to clarify how
faculty time is used in teaching online courses.
2 STUDY APPROACH
In this study, participants categorized their teaching-
related activities, providing a basis for investigating
the nature and characteristics of how teaching effort
varies between online and traditional courses. We
know that when teaching an online course, the
traditional face-to-face activities such as lecture and
informal discussion with students will be replaced
by online activities. But an analysis of effort
distributed across specific activities will allow us to
compare the amount of time taken by those
replacement activities. We will also be able to look
for changes in time spent on tasks common to the
two delivery modes such as grading.
The study was conducted using seven pairs of
comparable sections of graduate courses in
information systems and software engineering taught
in a U.S. institution. The typical student taking one
of these courses was a technically savvy, full-time
working professional. All courses used in the study
were mature courses and all factors of online
sections of the course (e.g., class size maximums,
course content, etc.) were designed to be as
equivalent to the traditional sections as possible.
The online classes were completely online and
generally asynchronous, with the exception that
some courses may have required students to attend
weekly discussion at a prescribed time. The delivery
platform was a custom application built using Lotus
Notes and the courses were accessible over the Web
using either a Notes client or a Web browser.
(Hislop, 2000) contains additional information about
the online environment.
This study measured teaching for pairs of
sections of the same course, one taught online and
one taught face-to-face, both taught by the same
instructor. The sections were taught in the same or
successive terms, and with no major changes in
course materials between the two offerings. The
instructors for the course sections were all
experienced teachers and all sections were taught
without the benefit of teaching assistants or other
types of support. In order to ensure participation,
instructors were paid for completing the logging task
for a pair of course sections and time was only
logged during the 11 weeks of the term in which the
class section ran. Instructors logged their time using
the following categories: Administration,
Discussion, Email, Grading, Lecture, Materials,
Other, Phone, Preparation, Talk, and Technology.
The study results reported in this paper attempt
to provide a partial answer to the question of what
differences exist in the types of faculty effort
expended for online and traditional classes. In
particular, the results reported in this paper attempt
to address two main questions:
1. What are the differences in instructor time
spent on various teaching tasks between online and
traditional sections?
2. Within a particular mode of delivery, how
does instructor time spent on specific tasks differ
between more and less time-efficient instructors
using that particular mode of delivery?
Section 3 provides a high-level summary of the
total effort results and discusses each of these
research questions in separate subsections.
3 DATA ANALYSIS AND RESULTS
The study produced complete time logs for seven
pairs of course sections. As reported in (Hislop &
Ellis, 2004) which describes the investigation into
total effort and effort over time, the total time logged
for online sections was 737 hours, and 814 hours
AN ANALYSIS OF VARIATION IN TEACHING EFFORT ACROSS TASKS IN ONLINE AND TRADITIONAL
COURSES
203
were logged for the traditional sections. The average
size of the online classes was 19.3, while the
traditional class’ average was 26.0 and the average
for the entire set was 22.6. These figures represent
an approximately 25% difference in average class
size between traditional and online sections. The
commonly held assumption that teaching has
economy of scale was supported by the findings in
this study as when the total effort figures were
normalized on a per student basis, the average
number of hours spent per online student was 6.26,
while 6.17 hours were spent per traditional student.
3.1 Task Differences
The categorization of time enumerated above
provides a basis for a more in depth examination of
how teaching effort varies across different tasks
between online and traditional courses. An analysis
of cataloged effort allows us to see what online
activities replace the traditional face-to-face
activities such as lecture and informal discussion, as
well as allowing us to look for differences in time
spent on tasks common to the two delivery modes
such as grading.
Since a commonly held opinion is that e-teaching
requires an increased level of interactivity between
instructor and student, we generally grouped the
activity categories based on their interactivity
requirements. The activity by category (normalized
per student) is presented in Tables 1 and 2, where
Table 1 contains all the activities that involve
interaction between the instructor and students, and
Table 2 contains all the activities that do not involve
student interaction. We can begin with a general
observation that several of the categories across the
two tables do not account for much time. In
particular, Phone, Talk, Technology, and Other
taken together account for only about 5 % of the
total time logged. The remaining categories
(Discussion, Email, Lecture, Grading, Materials, and
Preparation) account for 95% of the activity.
Based on the data presented in Table 2, we make
the following observations. First, the subtotals
indicate that in the online class, the instructor spends
more time on activities that involve interaction with
students than the instructor does in a traditional
section. This increased interactivity for online
sections fits the intention that online classes in this
study will emphasize transfer of ideas among
participants. The observed enhanced communication
also provides further support for prior survey work
that indicates that faculty and students both feel that
they interact more in online classes than they would
in a traditional class (Turroff, Hiltz & Turroff, 2002;
Young, 2002; Salmon, 2002; Hartman, Dziuban &
Moskal, 2000; Schifter, 2000a; Schifter, 2000b).
Table 1: Hours per Student per Section - Student
Interaction Activities
Online Traditional
Discussion 2.34 0.00
Email 0.40 0.51
Lecture 0.00 1.59
Phone 0.06 0.04
Talk 0.00 0.27
Subtotal 2.79 2.42
Table 2: Hours per Student per Section - Other Activities
Online Traditional
Administration 0.03 0.06
Grading 1.77 1.82
Materials 1.17 0.78
Preparation 0.37 1.02
Technology 0.12 0.00
Other 0.03 0.02
Subtotal 3.48 3.75
An examination of the columns of Table 1 shows
the expected substitution of Discussion activity in
online sections for Lecture and Talk activities in the
traditional sections. Perhaps more interesting are the
results for the two categories of Email and Phone.
For the Email category, it is noteworthy that both
delivery modes show about the same time expended
per student, with the traditional mode of delivery
even being a bit higher than the online mode. This
apparent equivalency in time spent on email for both
modes of delivery provides an interesting example
of the ways in which the online and traditional
delivery formats are likely to increasingly merge
over time. The time logged for the Phone category
is also approximately equivalent for both modes, and
is not very large. It is interesting to note that Phone
time is smaller than Email, perhaps reflecting the
value of asynchronous communication in a graduate
class environment.
Inspecting the non-interactive categories shown
in Table 2, the classes of Administration,
Technology, and Other represent only small amounts
of time. The Technology time is important since it
shows that technical problems were not a significant
factor for the instructors in these online classes.
ICEIS 2004 - SOFTWARE AGENTS AND INTERNET COMPUTING
204
As shown in Table 2, instructor time spent
grading is roughly comparable for both delivery
modes. This uniformity of effort across the two
modes is actually somewhat surprising since
instructors often talk about the increased number of
steps required to deal with assignments that are
submitted and returned online rather than on paper
in a traditional setting.
Finally, Table 2 shows some variation by mode
in time spent on Materials and Preparation. The
higher time figure for the Materials category for the
online sections probably reflects the fact that the
online versions of the courses in this study are much
newer than the traditional versions.
The Materials time difference may also reflect a
slower process for creating work items like handouts
online due to the relative immaturity of the
productivity tools in online environments. We
would naturally expect the Preparation time online
to be lower since there are no formal class meetings.
Overall, the investigation into the specific types
of effort expended by instructors of online and
traditional courses revealed a higher degree of
interactivity in online courses, and the data results
demonstrated an expected trade-off between a higher
Materials time figure for traditional courses and a
higher Preparation time figure for online sections.
One somewhat surprising observation about the type
of effort expended by instructors of online and
traditional courses is that instructors appear to spend
a nearly equivalent amount of time in email and
grading activities for both online and traditional
courses.
3.1 Efficiency Differences by Mode
In order to get a clearer picture of faculty behavior
in both online and traditional courses, we grouped
the seven section pairs based on efficiency of mode
of delivery. (Note that we use the term efficiency
here to mean time usage.) In other words, we
grouped together the four section pairs in which
faculty expended less time on the online sections
(online-efficient) and we grouped together the three
section pairs in which faculty expended less time on
the traditional sections (traditional-efficient). We
then normalized the data on a per student basis to
investigate the differences in time expended by the
two sets of instructors to try to answer the question
“what are the differences in tasks between more and
less time-efficient instructors using a particular
mode of delivery?”
Upon analyzing the total time expended by
instructors when teaching traditional sections, we
observed that there was little difference between the
amount of time expended by instructors in the
online-efficient group, with an average of 6.12 hours
spent per student per section, and the effort used by
instructors in the traditional-efficient group who
expended an average of 6.23 hours per student per
section. These results indicate very little variation in
instructor time expenditure across the range of
sections taught using a traditional mode of delivery,
regardless of instructor efficiency with respect to
mode of delivery. One logical conclusion that could
be made about these consistent results is that
instructors are more familiar with the traditional
mode of delivery and have already achieved similar
levels of efficiency in teaching face-to-face course
sections.
A more substantial difference in time expended
on online courses was observed when the data from
the online-efficient and traditional-efficient groups
of instructors were compared for online and
traditional sections. Table 3 shows the time
expended on both online and traditional courses by
the online-efficient and traditional-efficient groups.
The online-efficient instructors took 4.66 hours per
student to teach the online sections, while the
traditional-efficient instructors took 8.4 hours per
student to teach the online sections. As previously
noted, all sections had negligible activity in the
Administration and Other categories so these
categories were omitted from Table 3.
One major difference between the two groups
that can be observed from Table 3 is the disparity in
Table 3 - Hours per Student per Section for Online and Traditional Sections
Discuss Email Grading Lecture Materials Phone Prep Talk Tech
Grand
Total
Online Courses
Online-Efficient 1.70 0.44 1.10
0.00 1.02 0.06 0.25
0.00 0.05 4.66
Traditional-
Efficient
3.19
0.33
2.66
0.00
1.36 0.06 0.51
0.00
0.21 8.40
Traditional
Courses
Online-Efficient 0.00 0.59 1.69 1.55 0.82 0.08 0.90 0.39 0.00 6.12
Traditional-
Efficient
0.00 0.42 1.99
1.65
0.72 0.00 1.29
0.10
0.00 6.23
AN ANALYSIS OF VARIATION IN TEACHING EFFORT ACROSS TASKS IN ONLINE AND TRADITIONAL
COURSES
205
the Discussion figures for the online sections. The
instructors in the online-efficient group spent less
time than their traditional-efficient counterparts.
While the online-efficient group did spend 1/3 more
time on email than the traditional-efficient group,
this difference is not large enough to account for the
53% increase in Discussion time spent by the
traditional-efficient group.
Another major dissimilarity in effort can be
observed in the Grading category for the online
sections where instructors in the traditional-efficient
group spent more than twice the time grading as did
the online-efficient instructors. Several reasons may
give rise to this difference. First, the traditional-
efficient instructors may be taking extra steps when
grading online (e.g., detaching email attachments,
printing assignments, returning hard copy to
students, etc.) as opposed to simply grading directly
online. Second, the difference could be the result of
instructors struggling to learn how to grade online.
The efficiency effect might also be a result of the
fact that some instructors are learning how to grade
online more efficiently than grading using a
traditional approach.
Table 3 also shows increases in instructor time
for the Materials category in the traditional-efficient
group when teaching online sections. In addition, the
traditional-efficient group also shows significant
increases in the Preparation category when teaching
both online and traditional sections. Possible
reasons for these differences include that the
instructors in the traditional-efficient group may be
less experienced in teaching online or struggling
more with the online environment. Another
possibility is that the instructors in the traditional-
efficient group may be struggling with how to
represent the course online.
The difference in the Technology category for
online courses is a small number but represents a
substantial difference in percentage of effort. As
shown in Table 3, the traditional-efficient group of
instructors spent four times the amount of effort
when teaching online as the online-efficient group.
This small difference may be an indicator that the
instructors who are less efficient teaching using the
online mode of delivery are also less technically
capable overall.
One interesting difference occurred in the Talk
category for traditional courses where the online-
efficient instructors appear to spend almost four
times the amount of time talking with students on a
per student basis than the traditional-efficient
instructors. In addition, the online-efficient
instructors also logged more time in the Phone
category than their traditional-efficient counterparts
when teaching using a traditional mode of delivery.
Overall, when comparing online sections where
instructors were more efficient to online sections
where instructors were less efficient, there is a wider
variance in the time expended than when comparing
the efficiency of the groups of instructors when
teaching traditional course sections. Indeed, the
traditional-efficient group of instructors spent almost
double the amount of time on various tasks
associated with teaching online as compared to their
online-efficient counterparts. Possible reasons for
this difference range from changes in course
representation, grading, and interaction approaches
used in online courses to the technical abilities of the
instructor. An examination of instructor evaluations
and learning outcomes might provide additional
reasons for this difference.
The total time figures for the online-efficient and
traditional-efficient groups of instructors teaching
using a traditional mode of delivery are much closer
than when using an online mode of delivery.
However, it should be noted that the online-efficient
group still uses slightly less time per student when
teaching a traditional course.
4 CONCLUSION AND FUTURE
WORK
The results of this quantitative investigation into the
differences in instructor time spent on teaching tasks
have highlighted several significant differences
between time expenditures by instructors of online
and traditional courses. Overall, the results reinforce
the perception that online instructors engage in more
interactive endeavors with their students than do
instructors of traditional courses. Also of interest
was the finding that instructors spend approximately
the same amount of effort on email, regardless of
mode of course delivery. The amount of time spent
by instructors grading was roughly comparable for
both the online and traditional delivery modes.
A finer grained examination of the data
scrutinized instructor behavior patterns by grouping
instructors into groups based on the mode of
instruction in which they were efficient (i.e., spent
less time). When efficiency mode of the instructor
was factored in, the widest variation of effort was
seen in online sections with instructors efficient in
online teaching spending significantly less time on
grading, materials, preparation, and discussion
activities than instructors who were more efficient
using the traditional mode of teaching. As could be
expected, the online-efficient and the traditional-
efficient groups of instructors spent approximately
the same amount of time teaching a traditional
course.
ICEIS 2004 - SOFTWARE AGENTS AND INTERNET COMPUTING
206
The results of this study suggest several areas for
future research. The obvious future step would be to
expand the study to include additional pairs of
course sections. This additional data would provide
a broader base of support for conclusions drawn by
this research. In addition, the inclusion of data from
instructor evaluations and learning outcomes would
help identify root causes of the differences in time
expenditure between online and traditional
instructors. A third area of investigation is the
impact of instructor attitude on pattern of effort as an
instructor’s mindset may have a significant influence
on how they deliver a course. Lastly, given that
teaching an online course requires a certain level of
technical knowledge, an investigation of the effect
of instructor technical expertise on pattern of effort
might also provide insight into the differences in
time expended by instructors of online and
traditional courses.
REFERENCES
DiBiase, D., 2000. Is distance teaching more work or less?
The American Journal of Distance Education, Vol. 14,
No. 3.
Hartman, J., Dziuban, C., & Moskal, P., 2000. Faculty
satisfaction in ALNs: A dependent or independent
variable? Journal of ALN, Vol. 4 Iss. 3.
Hiltz, S. R., & Turoff, M., 2002. What makes learning
networks effective? CACM, Vol. 45, No. 4.
Hislop, G. W. & Atwood, M. E., 2000. ALN teaching as
routine faculty workload. Journal of ALN, (4)3.
Hislop, G. W., 2000. Working professionals as part-time
online learners. Journal of ALN, (4)2.
Hislop, G. W., 2001. Does teaching online take more
time? Proc. of 31st ASEE/IEEE Frontiers in
Education Conf. Reno, NV.
Hislop, G. W. & Ellis H. J. C., 2004. A study of faculty
effort in online teaching, to be published in: The
Journal of Higher Education, (7)1.
Salmon, G., 2002. Hearts, minds and screens: Taming the
future. [Keynote speech] EduCAT Summit, Innovation
in e-Education, Hamilton, New Zealand,
Schifter, C.C., 2000a. Faculty participation in
asynchronous learning networks: a case study of
motivating and inhibiting factors. Journal of the ALN,
(4)1.
Schifter, C. C., 2000b. Compensation models in distance
education. The Online Journal of Distance Learning
Administration, (III)1.
Visser, J. A., 2000. Faculty work in developing and
teaching web-based distance courses: A case study of
time and effort. The American Journal of Distance
Education, (14)3.
Young, J. R., 2002. The 24-hour professor: Online
teaching redefines faculty members’ schedules, duties,
and relationships with students. The Chronicle of
Higher Education, (48)38.
AN ANALYSIS OF VARIATION IN TEACHING EFFORT ACROSS TASKS IN ONLINE AND TRADITIONAL
COURSES
207