Online course models and their effectiveness
The COVID-19 pandemic opened the door to an increasing wave of online
instruction or e-learning, especially in university courses. Because of this,
there is a strong need for a pedagogically effective instructional design model
for online instruction to facilitate the development and delivery of online
learning environments (Chen, 2015).
A poor-designed online course often makes the students lose their focus
and feel frustrated. Online students will not know where to start, what to do,
when to communicate, and how to learn if an online course is not well-designed
(Chen, 2015).
Two instructional design models, the Pedagogically Effective Online
Instruction Design Model, and the Community of Inquiry Model, are two models
that are good to use to create an engaging and pedagogically effective online
course.
We will look at both of these models and how they work.
Pedagogically Online Instructional Design Model
According to Dr. Li-Ling Chen, there
are four main steps in the Pedagogically Online Instructional Design Model:
1.
Identify
2.
Select
3.
Create
4.
Assess
Identify – Identifying a course format is
essential in the initial process when designing an online course. As an
instructor, he/she needs to identify which course format that he/she would like
to adopt for instruction first. Then, an instructor has to identify
instructional objectives, identify learners’ needs and characteristics,
identify appropriate pedagogical approach whether online teaching will apply
behaviorism and / or constructivism approach. In addition, online instructors
also have to identify the learning context in order to maximize student’s
learning.
Select - At this stage, online instructors select
web-based content organization to be linear or nonlinear., select interaction
and communication methods, select technologies for communication and content
delivery, and then select resources to help their learners learn. The resources
can include both curriculum related resources, technical support resources, and
mentoring supporting resources.
Chen states that there are several advantages of applying the proposed model for online course design.
First, the model is built upon with considerations from traditional instructional
design models as well as currently existing online ID models. Furthermore, both
pedagogical approach and learning theories are also taken into account. Second,
it is well-designed by outlining conceptual framework for online instruction.
Third, the model is flexible. That is, online instructors can tailor the
instructional sub-steps in the model to meet their own specific online teaching
needs. Fourth, the model is learners centered. According to the model, online
instructors have to identify their learner’s needs, prior knowledge,
characteristics, and learning context in order to provide appropriate
instruction that matches their learners’ learning needs.
Community of Inquiry
1.
Cognitive
Presence
2.
Social Presence
3.
Teaching Prescence
Out of the three elements, cognitive presence is the most basic to success in higher education, and is a vital element in critical thinking (Garrison, et. al, 2000).
The social presence is defined as the ability of participants in the model
to project their personal characteristics into the community, thereby
presenting themselves to the other participants as “real people.” The primary
importance of this element is its function as a support for cognitive presence,
indirectly facilitating the process of critical thinking carried on by the
community of learners (Garrison, et. al, 2000).
The third element
of the model, teaching presence, consists of two general functions, which may
be performed by any one participant in a Community of Inquiry; however, in an
educational environment, these functions are likely to be the primary
responsibility of the teacher (Garrison, et. al, 2000). The first function is
the design of the educational experience, which includes selection,
organization, and primary presentation of course content, as well as the design
and development of learning activities and assessment. The first function is
primarily performed by the teacher or instructor. The second function,
facilitation, is a responsibility that may be shared among the teacher and some
or all of the other participants or students. This sharing of the facilitation
function is appropriate in higher education and common in computer
conferencing. In either case, the element of teaching presence is a means to an
end-to support and enhance social and cognitive presence for the purpose of
realizing educational outcomes (Garrison, et. al, 2000).
In the Community of Inquiry
framework, cognitive, social, and teaching presences are interconnected and mutually
influential (Sundgren, 2023). The ultimate goal of the Community of Inquiry is an
educative experience resulting in deep and meaningful learning (Sundgren,
2023).
The Future
Both the Pedagogically Online
Instructional Design Model and the Community of Inquiry Model can create effective
online instructional design. The Pedagogically Online Instructional Design
Model is one that is newer, and is still in its infancy, but I feel that it is
a stronger model due to the advantages Chen states in his article.
In my mind, though, it will be interesting
to see how these models work in today’s world with artificial intelligence on
the rise. Instructional designers are using AI technology to create and
continuously adapt learning management systems to execute specific learning
activities (Gibson, 2023). Customized instructional methods to meet student’s
specific needs, adaptive learning systems that can adjust the pace and
difficulty of course material based on the learner’s performance, and AI-powered
natural language processing technology enables conversational interfaces, such
as chatbots and virtual assistants, to answer learners’ questions and provide
guidance in a conversational manner (Gibson, 2023).
The use of AI in course design and instruction is not a new concept, but given
the speed of the changes, course design and instructional design process will
look much different in the coming months and years (Gibson, 2023).
References
Chen, L.L. (2015). Pedagogically Effective
Online Instructional Design Model. In S. Carliner, C. Fulford & N.
Ostashewski (Eds.), Proceedings of EdMedia 2015--World Conference
on Educational Media and Technology (pp. 1551-1554). Montreal, Quebec,
Canada: Association for the Advancement of Computing in Education (AACE). Retrieved November 18, 2023 from https://www.learntechlib.org/primary/p/151533/.
Garrison, D. R., Anderson, T., & Archer, W. (2000). Critical Inquiry in a Text-Based Environment: Computer Conferencing in Higher Education. The Internet and Higher Education, 2(2-3), 87-105. https://doi.org/10.1016/S1096-7516(00)00016-6
Gibson, R. (2023, August 14). 10 Ways Artificial Intelligence Is Transforming Instructional Design. EDUCAUSE Review. Retrieved November 18, 2023, from https://er.educause.edu/articles/2023/8/10-ways-artificial-intelligence-is-transforming-instructional-design
Sundgren, M. (2023). Exploring digital technologies in higher educational settings: Enabling a community of inquiry. Volume Mid Sweden University Doctoral Thesis, (393), 138. https://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-49193
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