Learning to learn revisited
Learning to learn revisited:
Computers and the development of self-directed learning skills an article by
Lieberman, D. A., & Linn, M. C. (1991), has great insight on educational
software that focuses on self-directing learning. The author Debra A.
Lieberman. Ph.D. is someone to admire and take into high regard. She focuses on
social, behavior and cognitive outcomes and produced interactive health
education software, evaluates automated medical records and clinical
information systems. Computers have brought a wide range of educational
resources that can provide either collaborating learning or autonomous
learning. There is attention to
self-direct learning throughout the article where educators can find a broad
variety of lessons and educational theories.
When using computers for autonomous learning, scaffolding, skilled
strategies, and motivation should be included to assure a successful
self-directed learner, (Lieberman, & Linn 1991). The self-directed learner should be able to
hold the role of an educator to themselves.
They should be able to guide their learning, setting plans to reach
their goals, evaluate their achievements and failures, and evolve their skills.
According to (Lieberman, & Linn 1991), they can develop more advanced
solving strategies, procedural skills, and self-monitoring through
computer-based learning.
Computer-assisted instruction (CAI) gives the learner the ability to be
self-directing, offer accommodating scaffolding and motivation because of
positive outcomes. Another advantage of
CAI is the development of self-monitoring, higher order thinking, managing
one’s own education, reinforcing what has been taught and skill development. “A
curriculum could first provide a computer tutor for topic knowledge instruction,
evaluation, and remediation and then make simulation available to allow the
learner to use the topic knowledge in a realistic setting”, (Lieberman, &
Linn 1991). Learners also benefit from being in control of the pace they learn
and can get immediate feedback from certain educational software. There are
recommendations for teacher facilitation in order for the learner to improve on
advanced skills. The computer-delivered instructional content requires
high-quality content with clear instructional delivery to achieve the lesson's
objective. There are several programs
that are mentioned, such as DISCOVER, STELLA , Rocky’s Boots and others that
enforce computer software ability to provide self-direction, motivations and
structured learning to the learner.
Computer-assisted instruction (CAI) has evolved immensely
since this article first published and I have been lucky to not only see the
development but experience its evolution.
Presently, CAI is used in the company I work for to refresh or learn
skills, policies and new processes.
There are online training courses that are called computer-based
training (CBT). There are courses that
are assigned which are mandatory to complete in a certain due date. These CBTs are taken in masses to assure that
there is compliance with regulations and policies by all employees. CBTs in the corporate world develop
self-direction. The employees have CBTs
designed to motivate, reinforce and add to their knowledge. CBT implements self-directing,
self-monitoring, and independent learning but also are used to simulate bank
processes that have been taught to the employee. The simulation permits the employee to
advance their skill without fear of mistake in real-life situations, in turn,
increase their motivation and confidence towards their work. Completing my CBTs give me a better
self-perception and drive for autonomous learning. With the CBTs, I can dictate when I go in to
complete it, or how slow or fast I go through it, as long as it is done on the
due date. In a corporation that holds a high mass of employees, it is important
to apply autonomous and self-directing learning wherever possible and CAI
delivers this reality.
Reference:
Lieberman, D. A.,
& Linn, M. C. (1991). Learning to learn revisited: Computers and the
development of self-directed learning skills. Journal of Research on
Computing in Education, 23(3), 373. https://doi-org.proxy-library.ashford.edu/10.1080/08886504.1991.10781968
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