|
|
|
|
 |
|
Innovating research topics in learning technology:
Where are the new blue oceans? Gi-Zen Liu
|
|
|  | |
|
New research topics for
advancing knowledge and developing its applications Creative
research topics are always needed when we conduct research in order
to advance knowledge and develop its new applications in LT with
regard to technological evolution, paradigm shifts in learning and
value innovation (Richey, 1998). Some scholars attempt to find
current research trends or some existing problems of research
outcomes in an effort to provide a new direction. For example, Shih
et al (2008) identify the recent research trends in papers
published in the five major LT journals from 2001 to 2005, finding
that the most popular research topics were instructional approach,
learning environment and meta-cognition. However, it is open to
question whether the recent research trends and topics reflect the
needs of LT practitioners and researchers. Kanuka et al
(2007) review the literature and indicate that new guidelines or
models which can help conduct LT research on the most advanced
computer technologies are still insufficient. It seems that the
recent research trends and the research outcomes are not yet able to
match up well in order to meet the needs of LT researchers and
practitioners to further develop what Richey (1998) calls the
“useable knowledge”. This, we may need new research topics and
research methodologies to improve the current situation.
The need for value innovation in LT
research Value is what is important in learning, teaching or
research related activities. Value—which is significant in the
process or product of learning—plays a key role in LT. The value of
LT should be that, when applied or guided properly, technologies can
facilitate human learning efficiently and effectively, with more
personal enrichment or enjoyment. Value in instructional design, for
example, is important for guiding the selection of the goals, scope,
guidelines, method and situation for its theories or models
(Reigeluth, 1999). Liu (2005) suggests that an instructor should
develop hybrid instruction or blended learning based on identified
values, including proficiency of a skill or language as the ultimate
goal, learner-focused learning, customized learning, active learning
and interactive learning. Other identified LT values, to name only a
few, include assessable technology for teaching and learning,
facilitating the skills of learning, facilitating social skills and
widening horizons.
Along with the evolution of LT integrated
into teaching and research of various fields and disciplines
(Boylan, 2004), innovation is considered playing a major role in
improving the current state and scope of LT contexts and
developments (Chou, 2005; Hannan, 2005). However, when it comes to
value innovation in LT research, some questions still need to be
answered. For example, how can we create or innovate values to
promote LT research? Are there any other values that we have not yet
identified? If so, what are they, and how can we take advantage of
these new and meaningful ideas? LT practitioners and researchers
need to think about these questions and try to answer them when
developing and promoting LT.
The BOS for value innovation
in LT research The BOS was designed to help companies jump
from competitive, crowded contexts (red oceans) to innovative,
developmental territory (blue oceans) for future business and
opportunities (Kim & Mauborgne, 2004b). Kim and Mauborgne argue
that companies continuously benefit from operating in such blue
oceans, which they define as industries or market spaces that do not
exist now but will be created or invented soon and in which new
demands and profitable opportunities will be generated. LT
practitioners also need a similar strategy to innovatively apply LT
in current domains as well as create new domains for future research
and development.
The research methodology According
to Collins et al (2004), design research has been developed
as a new method ‘to carry out formative research to test and refine
educational designs based on principles derived from prior research’
(p. 15). It was applied in this study for the researcher to validate
and refine (1) the guidelines adapted from the BOS and (2) the novel
framework composed of the components of the widely accepted ADDIE
instructional design model and Gagne’s (1985) nine events of
instruction. In this qualitative study, it was assumed that value
innovation in LT research topics would bring about more cutting-edge
research and developments in academic and industrial fields. This
study is a response to Rushby’s (2007) call for new methodologies to
help create applicable research questions or topics in
LT.
The research questions and research
procedures The research questions driving this study are:
‘Are there any guidelines for developing novel research topics or
questions with value innovation in LT as new technologies constantly
emerge?’ and ‘if so, what are they?’ The five guidelines for value
innovation in LT research (see Figure 1) with a novel framework (see
Table 1) were reviewed by 12 LT practitioners and researchers in
mid-2007.
Figure 1: The guidelines for value innovation in LT
research from the red to blue oceans
Table 1: A framework of the 45 possible areas for
generating new research topics in learning technology  The
five refined guidelines for value innovation in LT research
- Creating previously unidentified research topics from
different viewpoints: to explore trans-disciplinary knowledge we
need to be aware of the conditions and possibilities of
integrating the diverse perspectives of various disciplines.
- Making the research collaborative: we should work with
practitioners and researchers in different departments and
colleges, or with different backgrounds (Latchem, 2006), but we
need to be careful about the conflicts that may be inherent in the
meeting of different perspectives.
- Generating and capturing a new research demand/question with
personal insight and consulting with others: we should search and
review the latest literature in various trans-disciplinary fields
in databases and search engines for new LT tools, areas and
demands, using our own direct intuition, prior experience and
imagination. We should then ask reliable experts for their
opinions on the newly self-devised research topic or question in
order to obtain a better research design.
- Surpassing the value/cost trade-off and focusing on successful
innovation: we should aim to realize short-term and long-term
plans in an organized way with reasonable expenses, and anticipate
unexpected outcomes. While in the research process, we should
prioritize successful innovation, not the value/cost ratio. New
opportunities, including financial support, are likely to come
from this approach.
- Aligning the whole system of individual/organizational
research activities in pursuit of more efficiency, effectiveness,
impact and added value: we need to work independently, but with
the relevant research activities fostered by others in the
workplace or learning organization. We should always remember that
new ideas, with direct and indirect innovation that drives
creativity, are the ultimate goal. What we should treasure most is
the positive influence that the research, with new LT tools, will
bring about. However, it should be noted that the possible
negative effects of using LT tools is a good research question
that remains to be investigated.
Some novel LT
research topics or blue oceans, as examples
- Global, long-term, international and intercontinental research
topics.
- New taxonomies and instructional design models and theories
for various LT applications on CALL.
- A third category to be investigated other than LT process and
product: is the individual and interpersonal vitality, enrichment
and enjoyment of using e-learning.
- Novel added values: added values can be related to research,
business or others.
The conclusions LT, as a
trans-disciplinary field, is broad and diverse in its nature. The
computer (hardware), the communication system (software) and the
user constitute the ultimate ‘creativity machine’, which provides
various contexts and opportunities to foster innovation. I hope the
refined guidelines and framework presented in this paper will be
helpful to interested researchers and practitioners, and look
forward to learning new guidelines, devices and blue oceans in LT
from you.
Please see the original paper published in
BJET for references or contact the author.
|
|
| | |
|
|
|
|
|
 |
|