Introduction
The membership club management industry includes
golf and country clubs, city, yacht, athletic,
university, and resort clubs. The Club Managers
Association of America (CMAA), the professional
association for managers of membership clubs,
reports a membership of approximately 7000 managers
who manage over 3000 properties nationwide (CMAA,
2008). The CMAA, in addition to providing support
networks promoting successful and efficient
operations, encourages the education and advancement
of its members through their Lifetime Professional
Development Program. The Business Management
Institute (BMI)
courses, the core of the CMAA’s Lifetime
Professional Development Program, offers multiple
professional development opportunities in areas
including club management, leadership, human
resources, golf management, and food and beverage
operations. At the present time, the Club Managers
Association of America delivers professional
development training solely through the traditional
format of face to face delivery. The aim of this
study was to explore the feasibility and interest
level of enhancing the professional development
opportunities by offering
BMI classes in an online learning environment. Most
mainstream training and education institutions
intend to use online learning environments for some
level of course delivery. This pursuit is
not intended to replace face to face instruction but
to increase educational offerings for the members of
CMAA.
CMAA Professional Development
The CMAA’s Lifetime Professional Development Program
prepares members to lead, succeed, innovate, stretch
boundaries, expand expertise and create a thriving
club environment (CMAA, 2008). There are ten
academic programs offered, all presently offered in
a face to face learning environment. The core
segment consists of five levels of courses labeled
as BMI I-V. Other programs provide training in the
areas of Golf Management, International,
Certification Review Course, Food and Beverage
Management, and Wine and Food Experience. Briefly,
BMI I - Club Management provides an overview of the
industry. BMI II - Leadership Principles is
designed to enhance leadership, management, and
critical thinking skills. BMI III - General
Manager/Chief Operating Officer outlines the
responsibilities and competencies of a general
manager/chief operating officer. BMI IV - Tactical
Leadership explores tactics to enhance leadership
style and potential. BMI V - Strategic Leadership
offers strategies in the following areas; developing
mentoring programs, conducting financial analysis,
club technology, and employee retention. BMI - Golf
Management explores the history of golf, agronomy,
golf shop operations, tournament operations,
merchandising, and business planning. BMI -
International is co-sponsored by the Club Managers
of Europe, introducing facility development, people
development, professional leadership, traditions,
and culture. BMI - Certification Review is focused
on the nine competency areas tested for the
Certified Club Manager (CCM) designation. BMI -
Food and Beverage provides insight from the
management and control perspectives. And finally,
BMI - Wine and Food Experience provides basic wine
training, the pairing of food and wine, and hosting
a successful wine and food event. The question
arises as to whether online learning courses may be
introduced to expand these professional development
programs, particularly at the international level.
Literature Review
Online Learning Environments
Online learning environment research is well
documented in the literature. Benefits, challenges,
and opportunities have been explored, focusing on
participant experience and learning effectiveness.
The extent to which non-traditional classroom
alternatives are used is referred to as online
learning environment (OLE) modalities (Slate,
2001). Modalities range from
traditional courses using web enhanced features, to
reduced class time (mixed mode) methods, to fully
web-based course versions.
Convenience consistently appears as a tremendous
benefit and influence for participation in online
education for both traditional and non-traditional
learners. Convenience was a major benefit to
practicing engineers seeking improvement of
employability skills through online education (Kariya,
2003). Chang, Hung, Keh, Chang, and Shih (2005)
identified student convenience, flexibility, and
stability as key drivers for enrollment in
asynchronous online learning courses. Flowers and
Cotton (2003) documented elimination of travel to
campus for both learners and instructors as a
tremendous benefit to online learning environments.
Financial savings and convenience were identifiers
for online continuing education pursuits (Slate,
2005). Witt and Wheeless (1999) found less social
interaction as a major disadvantage, yet Harris and
Gibson (2006) found increased social interaction as
a motivator to enroll in distance education.
Distance education gained popularity, due in part,
to its academic effectiveness. Markel (1999)
claimed pedagogy should not have to be compromised
based upon instruction mode. Numerous studies in
varying industries have researched learning
effectiveness of online education, a potential
concern for the argument of future online education
offerings for the Club Managers Association of
America. Dellana, Collins, and West (2000)
compared the effectiveness of a virtual
undergraduate management science classroom and its
face to face counterpart, resulting in no
differences in academic performance between the two
modalities. Buzhardt and Semb (2005) found higher
satisfaction rates and no academic performance
difference when comparing the use of online and
paper-based study guides. Stacey (1999)
highlighted the effectiveness potential from
asynchronous online discussions when compared to
traditional environments while Meyer (2003)
contended asynchronous learning environments may
provide a better fit regarding students’ preferred
learning modes.
Compromising effective learning outcomes,
unfortunately, has been a concern for learners
choosing online education (Farris, Haskins, and
Yemen, 2003). The distance learner may encounter
challenges apart from traditional face to face
classroom learners. Diligent study, hard work, and
motivation are commonly documented influences when
choosing convenience of online education (Kariya,
2003). Accessibility issues and lack of familiarity
or experience may also be questioned with the
potential initial offering of online education for
CMAA. Electronic formats have become a mainstream
practice within many universities and training
programs for both traditional and non-traditional
learners.
Discussion in a traditional face to face environment
allows for knowledge sharing between and among
instructors and students. Similar discussions take
place in an online environment; however, such
communication is through threaded discussions.
Certainly, arguments can be made for benefits and
challenges of both environments. Threaded
discussions afford students the flexibility of their
engagement, time for thorough reflection and thought
prior to engagement, and eliminate the often
uncomfortable public speaking that reduces and
sometimes all together prevents students from active
participation in class discussion. Students also
have the ability to respond to every question/issue
raised in the online learning environment (Robles &
Braathen, 2002). Knowledge building results when
learners interact with their peers, collaborate,
discuss, form arguments, and negotiate meaning (Harasim,
1996). Fullan (2000) contended there is a ceiling
effect as to how much we can learn if we keep to
ourselves. Online discussions have been noted to
provide higher level conversations and learning
resulting from such listed benefits. Sweeney and
Ingram (2001) documented effectiveness of online
threaded discussions resulting in direct, critical
thinking style responses. Ellis, Calvo, Levey, and
Tan (2004) concurred, with online education allowing
for deep reflection on addressed topics.
Early adopters contended online offerings would be
restricted to outreach programs for those learners
who encountered barriers to attend traditional
education and training programs (Lytinen
and Rose, 2003). Likewise, a major
barrier for members of the Club Managers Association
of America is their widespread dispersion throughout
the country, making in person attendance at seminars
challenging. Online educational environments can
close the distance gap, offer a social space where a
community of learners congregate and participate in
a shared learning environment, and decrease
financial expenditures related to travel. Online
education typically offers learners more control
over their study level, involvement, and time on
task. Such benefits allow for professional and
career development while juggling responsibilities
between family and work. The absence of scheduling
conflicts affords learners an opportunity to partake
in learning opportunities for degree completion
goals where traditional face to face environments
may otherwise prevent participants from attending
classes, completing degrees, and achieving advanced
certifications.
Learning Theories
There are four relatively modern theories in
existence that can offer pedagogical advancement to
distance learning methods. This poses particular
relevance to coursework in applied professions, such
as education, nursing, business management and
others. A brief description of Cognitive Flexibility
Theory, Dual-Coding Theory, Elaboration Theory, and
Transactional Distance Theory follow.
The objective of Cognitive Flexibility Theory is for
learners to understand the interconnection of
content knowledge areas within ‘complex’ areas of
intended learning. Learning outcomes associated with
the theory would encourage ‘open thinking’ and avoid
‘oversimplification of subject knowledge’ (Spiro,
Vispoel, Schmitz, Samarapungavan, and Boerger,
1987).
Dual Coding Theory is also referred to as dual
processing for learning. It suggests that two
systems (e.g., verbal and nonverbal) comprise
working memory of learned knowledge (Mayer, 1999).
The two systems are connected and when both are used
in parallel fashion information processing may be
maximized by the learner (Paivio, 1990). This
theory supports the use of combined visual, auditory
and kinesthetic modes of instruction to appeal to
all learning styles and to expose the learning to
variations in material in order to enhance
understanding.
Elaboration Theory is focused on course design and
somewhat overlaps the tenets contained within
Cognitive Flexibility Theory in that it advocates a
simple-to-complex approach in developing instruction
modules (Chou, 1999). Elaboration Theory also
touches upon the content of Dual Coding theory by
advocating a double learning process consisting of
knowledge expansion and then condensation (Reigeluth
and Stein, 1983) implying that first exposure to the
knowledge and then exposure to more difficult
examples is better. Also, the theory suggests that
combining the two in a teaching environment produced
the optimal outcomes.
The Transactional Distance Theory poses direct
implications for OLE course designers. It
articulates the concepts of interaction
(transactional) and autonomy (distance). The theory
suggests that increased levels of learner autonomy
will result in improved learning abilities (Stein,
Wanstreet, Calvin, Overtoom, & Wheaton, 2005).
Advocates of the theory focus on course structure,
dialogue and autonomy. They suggest that a balance
should be created among the variables to facilitate
learning within a course (Kanuka, Collett, and
Caswell, 2002).
The common thread espoused by the four theories
embrace the concept of OLE course design that
appeals to visual, auditory and kinesthetic learning
style preferences. The theories also pose
implications for tutorial use in OLE platforms. It
must be recognized that certain members of the
professional association may not be familiar with
the use of computer platforms. Therefore, tutorials
must be developed to engage all of the senses
through the use of visual, auditory and kinesthetic
oriented tools such as video, audio, and hands-on
practice modules.
Online Training in Organizations
The business literature is replete with examples of
organizations using online delivery methods to
provide training and certification program
preparation. The American Society for Training and
Development (ASTD) defines e-learning as the
delivery and administration of learning
opportunities and support via computers and networks
to improve performance and development (Anonymous,
2001). An increasing number of organizations in
China have introduced distance learning programs to
certify marketing professionals in electronic
commerce and E-business systems preparing trainees
to pass a national-level comprehensive certification
examination (Zhang, Li, & Lin, 2005). Many
professional trainers with years of experience in
both classroom and OLE training methods have been
hired to provide online task support programs for
learning reinforcement (Mao and Brown, 2005). A
number of organizations and universities currently
collaborate to provide Six-Sigma training and
certification through a broad array of websites
(Shafer, 2005).
While many studies in the literature report on
initiatives and benefits associated with e-learning
systems, a smaller number address the pedagogical
nature of the delivery methods. One source cautions
trainers to consider various modalities such as
web-based delivery, mix-mode (blended learning)
classes and self-paced tutorials to develop
effective combinations of delivery modes based on
maximizing competencies (Newman, 2005). Other
researchers have focused on corporate universities
to find that issues of pedagogy and learner
responses have been inhibited by other
organizational factors such as return on investment
(ROI) expectations associated with such programs
(Homan and Macpherson, 2005). Another report
suggests techniques for balancing business and
learning concerns for administrators of OLE programs
in organizations (Taher, 2003). Still another study
provides focus on the transition from traditional to
technology-based learning methods as a strategic
initiative that should consist of clearly
articulated objectives and tactics (Rooney and
Scott, 2003). It has been further suggested that
some organizations hold e-learning programs to
higher levels of evaluative metrics; consistent with
expectations associated with other business systems,
such as e-commerce (Massie, 2003).
It is apparent from the literature that positive and
negative experiences surround e-learning initiatives
within various organizations. There are reports of
certain sophisticated and holistic programs within
some advanced organizations, in which OLE learning
projects are incorporated into broad learning
management systems (LMS) driven by top management
support (Nisar, 2002). Other researchers contend
that the LMS approach is providing competitive
advantages for certain organizations, when it
incorporates OLE training delivery methods into the
system (Wild, Griggs & Downing, 2002). One pattern
that seems to be consistent among reports from the
literature indicates that the use of technologies
for learning is rapidly increasing throughout many
organizations and industries with mixed results
(Adams and Waddle, 2002).
Methods
The purpose of the study was to explore the
feasibility and interest level of enhancing the
professional development opportunities by offering
BMI classes in an online learning environment. A 20
question survey was distributed to the participants
at various BMI seminar sites, requesting general
demographical information, their interest level, and
previous experience with online education.
Participants for this study were from the
BMI
I-IV and from the
BMI - Wine and Food Experience seminars. The survey
was anonymous and conveniently delivered to
encourage participation. Survey data were input
into a statistical program for analysis.
Results
A total of 438 surveys were distributed with 333
returned for analysis. The researchers were
satisfied with the 76% return rate but found no
distinguishing pattern as to who completed the
survey and who did not complete the survey. The
study population was identified by job
title/category, gender, age, and club type, as
depicted in Table 1. Unfortunately, not all
respondents provided the requested information.
Table 1. Demographics
Variables |
Characteristics |
Percentage
(N=333)
|
Job Title/Category |
GM/COO |
39 |
Assistant GM |
26 |
Department Managers |
19 |
Gender |
Male |
66 |
Female |
19 |
Age |
<30 |
13 |
30-39 |
27 |
40-49 |
34 |
50-59 |
11 |
60+ |
2 |
Club Type |
Country Club |
66 |
City Club |
6 |
Athletic |
3 |
Other |
8 |
The educational background and longevity as a CMAA
member of the participants were also identified.
The survey requested participants to identify their
highest level of education completed. It was
revealed that 18% held a high school diploma, 15%
held an associate degree, 26% earned their
bachelor’s degree, and 5% earned at least one
graduate degree. Unfortunately, 36% did not report
their education level.
Survey data also documented the respondent’s
longevity of membership with the Club Managers
Association of America. Approximately 29% of the
respondents have been a member of CMAA less than
three years, 27% have been members of CMAA for three
to five years, 17% have been members six to ten
years, and 12% have been members 11-15 years.
Approximately 15% did not report their membership
longevity with CMAA.
There were two questions regarding online
education. The first question was to identify the
participant’s interest level if parts of future BMI
education would be offered online and education
credits were awarded. A five point Likert-type
scale was utilized to answer this question, ranging
from will most likely not participate to strongly
favoring future participation in BMI online
education opportunities. The second question
requested participant’s background experience with
online education. Table 2 depicts the results of
future online education interest and background
online experience of the respondents. The balance
for each variable was not reported by the
respondents.
Table 2. Future Online Education Interest & Background Experience in
Online Education
Variables |
Characteristics |
Percentage
(N=333)
|
Interest Level |
Strongly in favor to participate |
29 |
Somewhat in favor to participate |
22 |
Neutral |
4 |
Unlikely to participate |
8 |
Will not participate |
2 |
Background |
Has had experience in online education |
32 |
No experience in online education |
68 |
Discussion
A strong case can be made for considering the
development of online education for BMI curriculum
based upon the respondent’s background experience in
online education, formal education level, age, job
title, and by group topic. Further analysis
revealed interest in future online educational
offerings regardless of experience in online
education. Approximately 77% of the respondents who
had no prior experience with online education would
likely pursue online education for CMAA continuing
education credits. Likewise, approximately 82% of
the respondents who have had online education
experience would likely pursue online education
opportunities for CMAA continuing education
credits.
The majority of respondents (68%) have had no
experience in online education. As previously
noted, members of professional associations with
little or no background in online education would be
strong candidates for tutorials. A surprising
finding, however, was found between age and online
education experience. The technology generation
would resemble the current study’s under age 30
category, born with technology common to business,
schools, and home environments. Interestingly, the
present study’s under age 30 population reported
that approximately 58% had no experience in online
education. More intriguing, however, is that over
two thirds of them have received a bachelors or
graduate degree. Higher education institutions
nationwide offer online classes in almost every
discipline with many institutions offering fully
online degrees.
Another surprising finding was respondents between
the ages of 50-59 reported similar online education
background experiences with 52% reporting no online
experience. Educational levels achieved by
respondents in this age category, in contrast to the
under age 30 respondents, may more readily explain
the lack of experience in online education.
Findings revealed 31% have been awarded an associate
degree, approximately 28% have received a bachelor’s
degree, and 10% have received a graduate degree. It
is quite possible that even though a smaller
percentage pursued higher education and may not have
had as much exposure to formal online education
offerings, the researchers assume this age group
chose online when offered to avoid interruption in
their work cycle. Findings for the additional age
categories as they relate to experience in online
education were not surprising given their formal
educational years were prior to the technology era.
Approximately 78% of ages 30-39, 70% of ages 40-49,
and 75% of ages 60+ had not experienced online
education.
It appears that the majority of respondents would
pursue continuing education credits via online
programs regardless of previous online education
experience. A closer focus on age revealed
approximately 70% of ages 40-49 had no experience in
online education yet 79% were likely to pursue
future online education opportunities.
Approximately 80% of ages 30-39 were likely to
pursue online continuing education and 70% of the
under 30 age group. The lower commitment level in
the latter may be related to their lack of
understanding in the importance of continuing
education for career advancement and the time and
financial commitment of such pursuits pulling them
away from family and work. Furthermore, only 27% of
the ages 50-59 would likely participate in online
education. It would be an assumption that the
minimal interest level may be related to such age
group nearing the end of their work cycle with
additional continuing education credits as a low
priority.
Findings revealed 80% of the general managers
responding to the survey were either strongly or
somewhat in favor of their participation in future
online education opportunities. Only 3.5% of the
general managers claimed they would not
participate. Approximately 73% of the Assistant
Managers and 82% of the Department level managers
would be interested in online continuing education
classes for CMAA certifications. Such results are
not only favorable for the development of online
education initiatives for present leadership but
also should be a strong indicator that leadership
would support participation from their respective
work units.
Results were also analyzed by groups. An
overwhelmingly positive show of support for online
education initiatives came from BMI IV. A little
more than 78% of respondents from BMI IV would
participate in online education, followed by
BMI
II respondent’s support of participation (53%),
BMI IIIa (42.1%), and BMI IIIb (40%). The balance in
all groups, for the most part, gave strong
indicators of their likely participation in online
education initiatives if offered to them for CMAA
certification credit. A further analysis into BMI I
demographics may explain why the group did not
commit as strongly to future participation in online
education initiatives as compared to the other
groups. The
BMI
I participants, when compared with other groups, had
a lower percentage of general managers and assistant
general managers. Thus, their responsibility level
at their respective clubs may not provide the
insight as to the consequences of their absences
while attending face to face seminars. Furthermore,
they are beginning their pursuit of CMAA
certification levels and therefore have not had the
monetary outlay when compared to senior level
leadership. Two thirds of the participants were in
their first three years of membership with the Club
Managers Association of America. Important to note,
seminar costs may or may not differ based on
delivery type. However, a tremendous benefit to
online education is that all expenses related to
travel would be eliminated and flexibility in
anywhere/anytime modalities would allow leadership
the ability to remain in their work environment
while pursuing professional development education.
Conclusions
There are limitations associated with the present
study, as may be the case with most field research
and with preliminary exploratory studies. One
limitation consists of the sample size of
respondents, noting the high number who did not
respond to all survey questions. It is commonly
realized within this industry that managers are
reticent to completing written surveys. One reason
for this consists of time restraints associated with
the demands of professional duties. Another includes
the number of requests by industry related
researchers for data, although there is limited
literature available within the sector of golf and
club management. An additional limitation that
influenced the nature of responses is the lack of
exposure to online training methods, which are just
recently becoming embraced within the hospitality
industry.
Nevertheless, this preliminary study may serve as a
catalyst for various avenues for future studies and
future CMAA activities. Within the specific domain
of this research, follow-up studies may be conducted
to examine the outcomes associated with the
implementation of OLE training courses for golf and
club managers. This might provide insights
concerning the efficacy of online instructional
programs within the professional organization. As
previously stated, there is a need for additional
contributions to the golf and club sector
literature. There could be future research
concerning competencies and educational programs
relating to golf and club management. Certain
investigators may choose to provide comparative
studies among various professional association
training methods. Some researchers may choose to
report on the evolutionary nature of OLE training
among CMAA members.
With regard to CMAA activities, the CMAA and its
international counterparts are highly active with
professional development by offering numerous
conferences every year. A likely scenario might be
that club professionals may choose both face-to-face
conferences in addition to those offered in an OLE
format. This might result in higher participation in
programs. This is the intent of CMAA officials who
commissioned this study. A counter argument might be
that the addition of OLE courses might cannibalize
attendance at traditional conferences.
The association is committed to expanding programs
within international locations. In fact, there are
seminars currently being delivered in Scotland. The
provision of alternative OLE course and
certification options would permit the membership to
participate in professional development activities
on a global level. It has already been noted that
key considerations for those interested in the OLE
options are those with limited travel funding and
positions that preclude long absences from club
property operations. Additional incentives to pursue
the OLE modality would be the maintenance of
work-life balance by providing educational programs
that do not require managers to being away from
family members.
Current traditional BMI programs are provided
through collaborative ventures with various academic
institutions. Many academicians are adept in the
design and delivery of online learning modalities
from both technical and pedagogical perspectives.
The transition to OLE formats could easily be
developed through existing relationships with these
institutions. Certain technical strategies would be
developed such as the selection of server locations
and courseware platforms. One suggestion would be to
develop a universal template for courses so that
there is continuity among the appearance of each
module.
One recommendation for CMAA officials would be to
develop a strategy of delivering pilot programs for
a small number of specific programs. This could be
done concurrently with traditional programs to
compare attendance levels. Another option would be
to run intermittent programs between OLE offerings
and traditional conferences.
As noted in the literature, the majority of
attendees will opt for an OLE program for
convenience reasons having to do with time and
location. The ideal course design would be to use
asynchronous (not real time) formatting to permit
participants to work at any time from any location.
OLE courses are learner-centered in nature, with the
instructor acting as a facilitator of interactive
discussions. It is necessary to assimilate the
audience into the course at the very beginning with
the objective being to create a virtual community.
One example would be for the instructor to post a
brief biographical sketch and to ask participants to
introduce themselves to each other. Successful
instructors are very interactive with the audience
during the beginning of a seminar. Once a sense of
familiarity is established, the instructor
facilitates interaction among peers who learn from
each others’ experiences. Experienced instructors
from collaborative institutions employ these
techniques in OLE courses.
A number of professional associations have embraced
OLE course and certification delivery methods. A
recent successful pilot project was completed with
the Ladies Professional Golf Association (LPGA). The
education division of the CMAA is to be commended
for considering the foray into OLE program delivery.
There is a strong likelihood of success with such an
initiative.
References
Adams, D. & Waddle, C. (2002). Evaluating the return
from management development programmes: Individual
returns versus organizational benefits.
International Journal of Contemporary Hospitality
Management, 14(1), pp. 14-20.
Anonymous (2001). Professionally speaking: Flexible
learning. Mechanical Engineering. 31(1), pp.
1-3.
Buzhardt, J. & Semb, G. (2005). Integrating online
instruction in a college classroom to improve cost
effectiveness. Teaching of Psychology,
32(1), pp. 63-66.
Chang, F.C., Hung, L.P., Keh, H.C., Chang, W.C., &
Shih, T.K. (2005). Design and implementation of a
SCORM-based courseware system using influence
diagram.
International Journal of Distance Education
Technologies,
3(3), pp. 82-94.
Chou, C. (1999). Developing hypertext-based learning
courseware for computer networks: the macro and
micro stages. IEEE Transactions on Education,
42(1), 39-44.
CMAA (2008). Received
January 18, 2008
from
http://www.cmaa.org/who/index.html
Dellana, S.A., Collins, W.H., & West, D. (2000).
On-line education in a management science course:
Effectiveness and performance factors. Journal
of Education for Business, 76(1), pp. 43-47.
Ellis, R.A., Calvo, R., Levy, D., & Tan, K. (2004).
Learning through discussions. Higher Education
Research & Development, 23(1), pp.73-93.
Farris, P.W., Haskins, M.E., & Yemen, G. (2003).
Executive education programs go back to school.
Journal of Management Development. 22(9/10), pp.
784-802.
Flowers, J. & Cotton, S. (2003). Master of arts in
career and technical education-now 100%. Tech
Directions, 63(2), pp. 22-28.
Fullan, M. (2000). The return of large-scale
reform. Journal of Educational Change, 1(1),
pp. 5-28.
Harris, M.L. & Gibson, S.G. (2006). Determining the
common problems of early growth small businesses in
eastern north carolina. S.A.M. Management
Journal, 71(2), pp. 39-46.
Harasim, L. (1996). Online education: The future.
In T. M. Harrison & T. Stephen, (Eds). Computer
networking and scholarly communication in the
twenty-first century university. New York:
State
University
of New York Press.
Homan, G. & Macpherson, A. (2005). E-learning in the
corporate university. Journal of European
Industrial Training, 29(1), pp. 75-91.
Kanuka, H., Collett, D. & Caswell, C. (2002).
University instructor perceptions of the use of
asynchronous text-based discussion in distance
courses. The AmericanJournal of Distance
Education, 16(3), pp. 151-167.
Kariya, S. (2003). Online education expands and
evolves. IEEE Spectrum, 40(5), pp. 49-54.
Lytinen, K. & Rose, G.M. (2003). The disruptive
nature of information technology innovations: The
case of Internet computing in systems development
organizations. MIS Quarterly, 27(4), pp.
557-563.
Mao, J.Y. & Brown, B. (2005). The effectiveness of
online task support vs. instructor-led training.
Journal of Organizational End User Computing,
17(3), pp. 27-46.
Markel, M (1999). Distance education and the myth
of the new pedagogy. Journal of Business and
Technical Communication, 13(2), pp. 208-223.
Massie, E. (2003). Is e-learning a tool for the
present or a fantasy for the future? The Journal
for Quality and Participation, 26(4), pp. 8-12.
Mayer, R. E. (1999). Designing instruction for
constructivist learning. In C. M. Reigeluth (Eds.),
Instructional-Design Theories and Models Volume
II: A New Paradigm of Instruction Theory.
Hillsdale, NJ: Erlbaum.
Meyer, K.A. (2003). Face-to-face versus threaded
discussions: The role of time and higher-order
thinking. Journal of Asynchronous Learning
Networks, 7(3), pp. 55–65.
Newman, C.P. (2005). Ditch the hype, keep the idea,
Training, 42(2), pp. 50-51.
Nisar, T. (2002). Organizational determinants of
e-learning, Industrial and Commercial Training,
34(6/7), pp. 256-262.
Paivio, A. (1990). Mental representations: A dual
coding approach. New York: Oxford University
Press.
Reigeluth, C. M., & Stein, F.S. (1983). The
elaboration theory of instruction in C. M. Reigeluth
(Eds.), Instructional Design Theories and
Models: An Overview of Their Current Status.
Hillsdale, NJ: Lawrence Erlbaum: 335-382.
Robles, M. & Braathen, S. (2002). Online assessment
techniques. Delta Pi Epsilon Journal, 44(1),
pp. 39-49.
Rooney, J.J. & Scott, W. (2003). E-learning: A
primer. The Journal for Quality and Participation,
26(4), pp. 4-9.
Shafer, S. (2005). Karate in business school? This
is not your father’s black belt. The Quality
Management Journal, 12(2), pp. 47-56.
Slate, W.K. (2005). Technology is good. Dispute
Resolution Journal. 60(3), pp. 1-2.
Slate, W.K. (2001). Settling claims on the
Internet: Dispute prevention and resolution in
e-commerce. Vital Speeches of the Day,
67(22), pp. 684-88.
Spiro, R. J., Vispoel, W.L., Schmitz, J.,
Samarapungavan, A., & Boerger, A. (1987).
Knowledge acquisition for application: Cognitive
flexibility and transfer in complex content
domains. In B. C. Britton, & S. Glynn (Eds.),
Executive control processes.
Hillsdale, NJ: Lawrence Erlbaum Associates.
Stacey, E. (1999). Collaborative learning in an
online environment. Journal of Distance
Education, 14(2), pp. 14-33.
Stein, D. S., Wanstreet, C.E., Calvin, J., Overtoom,
C., & Wheaton, J.E. (2005). Bridging the
transactional distance gap in online learning
environments. The American Journal of Distance
Education, 19(2), pp. 105-118.
Sweeney, J.C. & Ingram, D. (2001). A comparison of
traditional and web based tutorials in marketing
education: An exploratory study. Journal of
Marketing Education, 23(1), pp. 55-62.
Taher, M. (2003). Web-based training. Journal
of Organizational End User Computing, 15(1), pp.
57-60.
Wild, R.H., Griggs, K.A., & Downing, T. (2002). A
framework for e-learning as a tool for knowledge
management. Industrial Management & Data Systems,
102(7), pp. 371-380.
Witt, P.L. & Wheeless, L.R. (1999). Nonverbal
communication expectancies about teachers and
enrollment behavior in distance learning.
Communication Education, 48(2), pp.149-54.
Zhang, X., Li, Q. & Lin, Z. ( 2005). E-commerce
education in China: Driving forces, status, and
strategies. Journal of Electronic Commerce in
Organizations, 3(3), pp. 1-16.
|