01.Moving away from class
based or course-based training to multiple ways of training:
Classroom-based training continues to play a significant role in corporate learning, but its importance is now complemented by technology-based learning, mobile learning, and on-the-job workplace training. Learning managers face the challenge of integrating these diverse approaches to create cohesive and effective training programs. Over the past decade, corporations have witnessed substantial enthusiasm surrounding technology-based training, with predictions suggesting that web-based learning would dominate 90% of corporate training. However, these forecasts have not fully materialized. Instead, classroom training and technology-based learning often coexist in a model known as blended learning, combining the strengths of both methods to deliver a comprehensive learning experience.
Advantages over class-based
learning:
- Focuses on individual learning rather than
group-based learning.
- Can be accessed anytime and anywhere.
- Enables better connectivity with other learners and
learning resources.
- Allows learning at a pace set by the learner instead
of a group pace.
- Facilitates on-the-job learning whenever time
permits.
- Eliminates the need for travel or time away from
work.
- Provides the ability to search learning materials
through online platforms.
- Reduces costs, as instructors are not required to be
paid continuously.
- Eliminates the necessity for physical training
spaces.
- Updates to course content can be implemented
instantly.
- Directly integrates with performance support tools.
Computer-based learning (CBL) has
been a key method in corporate training, offering structured and interactive
learning experiences. However, it is gradually being replaced by web-based
learning (WBL), which provides greater flexibility, accessibility, and
opportunities for real-time interaction, aligning with the needs of today's
digital workforce.
Advantages of WBL over CBL:
- WBL eliminates the need for costly physical media
like floppy disks and CD-ROMs.
- Web-based materials can be updated easily and at no
additional cost.
- Facilitates social interaction across vast geographic
areas.
- Provides access to human instructors through online
networks.
- Incorporates advanced simulation and interactivity
when well-designed.
- Seamlessly integrates into performance support
systems.
02. Move away from
grades and certificates to personal portfolios.
The evolving trend suggests a
move away from traditional standardized certifications towards personal
portfolios that reflect current knowledge and skills. As people are likely to
switch careers multiple times, employers are more interested in the competencies
individuals possess in the present rather than qualifications obtained years
ago. In a world where rapid changes are the norm, it is nearly impossible to
predict the specific skills needed in the future. Therefore, curriculum
planning should remain flexible and open-ended, ready to adapt to new
directions and emerging needs.
Additionally, the workplace of
the future will place great emphasis on the ability to unlearn outdated methods
and embrace new approaches. Adapting to change will require individuals who can
confidently let go of previous habits and explore innovative ways of doing
things, fostering both creativity and resilience in dynamic environments.
03.Dramatic changes in eLearning Technologies:
Artificial intelligence and
neural networking are revolutionizing eLearning by making software smarter and
more adaptive. Future programs will personalize learning by identifying
individual strengths and weaknesses, adjusting content accordingly, and improving
through experience. This will enhance interactivity, moving beyond static
page-flipping to dynamic, behavior-responsive tools.
Moreover, computing will become
"invisible," seamlessly integrated into training technologies, making
learning more natural and accessible anytime, anywhere. These systems will not
only support training but also manage HR data, business metrics, and corporate
communication through web-based portals, blending learning with organizational
processes.
Simulated annealing- used
in task assignment and scheduling
Adaptive resonance theory-
use in smart web search engines and data mining
Ant colony optimization-
used for demonstrating “swarm intelligence” and improving group learning
Neural networks and the back
propagation algorithm: used in mimicking brain functions, and in complex
educational gaming
Genetic algorithms- used
for demonstrations of complexity theory, computer aided design, problem solving, and educational games
Artificial life algorithms-
used in the study of biological and social systems
Rules based systems- use
in knowledge based expert systems, generation of automatic programming of instructional strategies, and the simulation of common sense
Fuzzy logic- used for
quality of service (QoS) testing, and control of rules-based systems
Bigram models (aka Markov
Models)- used for speech, music and text recognition, automatic writing,
spell checkers, and verification of authorship
Agent based software- used
for Web research, search engines, scheduling, planning, negotiating, and
notifying.
Autonomic computing- used
to make computers self-configuring, self-healing, self-optimizing and self
protecting.
Semantic web- used to make
the content of the Web more meaningful so that it can be more easily searched
and shared
Affective computing- computer
software will sense your emotions and act accordingly. They may even show
emotions in return. This will increase the realism of eLearning simulations.
04. Move from document centric training to simulation and tutoring:
05. Move from group based
training to personalized performance support in the workplace:
While group-based teaching is
common, learning itself is often a personal journey. The advancement of
large-scale databases and intelligent computer programming has now made
individualized, competency-based learning a reality. This approach allows
learners to progress at their own speed, focus on material that is most
relevant to their needs, and skip topics they have already mastered.
06.Move from expert centric
knowledge delivery to collaborative knowledge capture and dissemination:
Organizations are increasingly
recognizing that valuable knowledge is not confined to experts or top-level
managers but is distributed across the entire workforce. Knowledge management
is now considered a critical factor for achieving a competitive edge. To
address future challenges, it is essential to not only enhance individual
skills and expertise but also harness the collective intelligence of teams.
This shift has given rise to the concept of "learning communities"
and "communities of practice," emphasizing collaboration and shared
learning.
Modern knowledge management
systems are being designed to support this trend, incorporating features such
as internal discussion forums, chat platforms, company-wide reference
libraries, online suggestion tools, glossaries, directories, personnel databases,
archived communications, and collaborative work applications. These systems
ensure that when key employees leave the organization, their insights and
expertise are preserved through documentation or expert systems, making the
knowledge readily available for future use.
07. Move from large
proprietary applications to standardized interchangeable objects:
Resources for shareable
educational objects, such as simulations, animations, tutorials, quizzes, and
case studies, are already available in repositories like www.Merlot.org. This
platform lists various educational tools, and instructional designers are continuously
discovering new ways to utilize these materials online. The possibilities for
web-based educational resources continue to expand, offering greater
flexibility and innovation in learning.
Reference list
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Bing.net. (2025e). Available at: https://tse4.mm.bing.net/th?id=OIP.z_XxMr9b8vPp6Y7MXo5ppgHaFA&pid=Api&P=0&h=220 [Accessed 3 Apr. 2025].
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This blog does a great job of capturing how corporate training is evolving. Blended learning, personalized approaches, and AI-driven tools are making learning more effective and accessible. I also loved the emphasis on collaboration and the shift toward modular, flexible learning tools. Which of these trends do you think will shape the future of workplace training the most?
ReplyDeleteYou're welcome! I completely agree—constructivism stands out as a powerful approach for modern learning. Its emphasis on hands-on engagement, real-world relevance, and collaboration makes it ideal for fostering critical thinking and adaptability, which are essential in today’s rapidly changing environments. Thank you for sharing such a thoughtful perspective!
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