Bloom's Taxonomy is a framework for classifying educational goals and objectives into levels of complexity and specificity. It was originally designed in 1956 and revised in 2001. The taxonomy categorizes learning objectives into three domains: cognitive, affective, and psychomotor. Within the cognitive domain are six categories moving from simple recall or recognition of facts to the more complex levels of analysis, synthesis, and evaluation. The revised taxonomy changes the categories to verbs and rearranges them to reflect more active thinking. It also adds a matrix combining cognitive processes and levels of knowledge to help create learning objectives.
Explains reflection, reflective practice, and reflecting in action / reflecting on action. This is written for a generalist audience, including undergraduate college students (or those who are dual enrolled high school students).
Explains reflection, reflective practice, and reflecting in action / reflecting on action. This is written for a generalist audience, including undergraduate college students (or those who are dual enrolled high school students).
Effective teaching is more than a good lecture. In fact, it may be NO lecture at all. This presentation suggests dozens of effective structures. While many are not fully explained here, they are easily found in many locations on the internet and in the woks of Gardner, Tomlinson, Marzano, Sternberg, Costa, Solomon and others.
collaborative learning is one of the 21st century learning skill that teachers should utilize. the error of teachers having all or considered as the sources of knowledge is long gone. this is an error when learners should create their own knowledge.
Teaching Higher Order Thinking & 21st Century SkillsTimothy Wooi
Higher Order Thinking and 21st Century Skills
I. Introduction of Higher-Order Thinking (H.O.T.) and Why?
II. Bloom’s Cognitive Taxonomy
III. Why Do We Want to Teach
Higher-Order Thinking?
IV. How Do We Teach Higher- Order
Thinking?
V. The High Investment of Higher-
Order Thinking
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Effective teaching is more than a good lecture. In fact, it may be NO lecture at all. This presentation suggests dozens of effective structures. While many are not fully explained here, they are easily found in many locations on the internet and in the woks of Gardner, Tomlinson, Marzano, Sternberg, Costa, Solomon and others.
collaborative learning is one of the 21st century learning skill that teachers should utilize. the error of teachers having all or considered as the sources of knowledge is long gone. this is an error when learners should create their own knowledge.
Teaching Higher Order Thinking & 21st Century SkillsTimothy Wooi
Higher Order Thinking and 21st Century Skills
I. Introduction of Higher-Order Thinking (H.O.T.) and Why?
II. Bloom’s Cognitive Taxonomy
III. Why Do We Want to Teach
Higher-Order Thinking?
IV. How Do We Teach Higher- Order
Thinking?
V. The High Investment of Higher-
Order Thinking
What are Learning Outcomes? Types, Benefits, and Examples of Learning OutcomesAnirudhRoy11
Learning outcomes are measurable educational aspects that include students’ knowledge, skills, and abilities to face real-life problems and not just the course outcomes & program outcomes.
Bloom's taxonomy is a set of three hierarchical models used to classify educational learning objectives into levels of complexity and specificity. The three lists cover the learning objectives in cognitive, affective and sensory domains(The Psychomotor Domain).
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This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
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1. Bloom's Taxonomy of Learning
Domains
Bloom's Taxonomy was created in 1956 under the leadership of
educational psychologist Dr Benjamin Bloom in order to promote higher
forms of thinking in education, such as analyzing and
evaluating concepts, processes, procedures, and principles, rather than
just remembering facts (rote learning). It is most often used when
designing educational, training, and learning processes.
T h e T h r e e D o m a i n s o f L e a r n i n g
The committee identified three domains of educational activities
or learning (Bloom, et al. 1956):
o Cognitive: mental skills (knowledge)
2. o Affective: growth in feelings or emotional areas (attitude or self)
o Psychomotor: manual or physical skills (skills)
Since the work was produced by higher education, the words tend to be
a little bigger than we normally use. Domains may be thought of as
categories. Instructional designers, trainers, and educators often refer
to these three categories as KSA
(Knowledge[cognitive], Skills [psychomotor], and Attitudes [affective]).
This taxonomy of learning behaviors may be thought of as “the goals of
the learning process.” That is, after a learning episode, the learner
should have acquired a new skill, knowledge, and/or attitude.
While the committee produced an elaborate compilation for the
cognitive and affective domains, they omitted the psychomotor domain.
Their explanation for this oversight was that they have little experience
in teaching manual skills within the college level. However, there have
been at least three psychomotor models created by other researchers.
Their compilation divides the three domains into subdivisions, starting
from the simplest cognitive process or behavior to the most complex.
The divisions outlined are not absolutes and there are other systems or
hierarchies that have been devised, such as the Structure of Observed
Learning Outcome (SOLO). However, Bloom's taxonomy is easily
understood and is probably the most widely applied one in use today.
C o g n i t i v e
D o m a i n
The cognitive domain
involves knowledge
and the development
of intellectual skills
(Bloom, 1956). This
includes the recall or
recognition of
specific facts,
procedural patterns,
and concepts that
serve in the
3. development of intellectual abilities and skills. There are six major
categories of cognitive an processes, starting from the simplest to the
most complex (see the table below for an in-depth coverage of each
category):
o Knowledge
o Comprehension
o Application
o Analysis
o Synthesis
o Evaluation
The categories can be thought of as degrees of difficulties. That is, the
first ones must normally be mastered before the next one can take
place.
Bl o o m ' s R e v i s e d T a x o n o m y
Lorin Anderson, a former student of Bloom, and David Krathwohl
revisited the cognitive domain in the mid-nineties and made some
changes, with perhaps the three most prominent ones being (Anderson,
Krathwohl, Airasian, Cruikshank, Mayer, Pintrich, Raths, Wittrock,
2000):
o changing the names in the six categories from noun to verb forms
o rearranging them as shown in the chart below
o creating a processes and levels of knowledge matrix
The chart shown below compares the original taxonomy with the revised one:
4.
5. This new taxonomy
reflects a more active
form of thinking and is
perhaps more accurate.
The new version of
Bloom's Taxonomy, with
examples and keywords
is shown below, while
the old version may be
found here
T a b l e o f t h e
R e v i s e d
C o g n i t i v e
D o m a i n
Category
Examples, key words (verbs), and technologies for
learning (activities)
Remembering: Recall or
retrieve previous learned
information.
Examples: Recite a policy. Quote prices from
memory to a customer. Recite the safety
rules.
Key Words: defines, describes, identifies,
knows, labels, lists, matches, names,
outlines, recalls, recognizes, reproduces,
selects, states
Technologies: book marking, flash cards,
rote learning based on repetition, reading
Understanding:
Comprehending the meaning,
translation, interpolation, and
interpretation of instructions
and problems. State a
problem in one's own words.
Examples: Rewrite the principles of test
writing. Explain in one's own words the steps
for performing a complex task. Translate an
equation into a computer spreadsheet.
Key Words: comprehends, converts,
defends, distinguishes, estimates, explains,
extends, generalizes, gives an example,
6. infers, interprets, paraphrases, predicts,
rewrites, summarizes, translates
Technologies: create an analogy,
participating in cooperative learning, taking
notes, storytelling, Internet search
Applying: Use a concept in a
new situation or unprompted
use of an abstraction.
Applies what was learned in
the classroom into novel
situations in the work place.
Examples: Use a manual to calculate an
employee's vacation time. Apply laws of
statistics to evaluate the reliability of a
written test.
Key Words: applies, changes, computes,
constructs, demonstrates, discovers,
manipulates, modifies, operates, predicts,
prepares, produces, relates, shows, solves,
uses
Technologies: collaborative learning, create
a process, blog, practice
Analyzing: Separates
material or concepts into
component parts so that its
organizational structure may
be understood. Distinguishes
between facts and
inferences.
Examples: Troubleshoot a piece of
equipment by using logical deduction.
Recognize logical fallacies in
reasoning. Gathers information from a
department and selects the required tasks for
training.
Key Words: analyzes, breaks down,
compares, contrasts, diagrams, deconstructs,
differentiates, discriminates, distinguishes,
identifies, illustrates, infers, outlines, relates,
selects, separates
Technologies: Fishbowls, debating,
questioning what happened, run a test
7. Evaluating: Make judgments
about the value of ideas or
materials.
Examples: Select the most effective solution.
Hire the most qualified candidate. Explain
and justify a new budget.
Key Words: appraises, compares,
concludes, contrasts, criticizes, critiques,
defends, describes, discriminates, evaluates,
explains, interprets, justifies, relates,
summarizes, supports
Technologies: survey, blogging
Creating: Builds a structure
or pattern from diverse
elements. Put parts together
to form a whole, with
emphasis on creating a new
meaning or structure.
Examples: Write a company operations or
process manual. Design a machine to
perform a specific task. Integrates training
from several sources to solve a problem.
Revises and process to improve the outcome.
Key Words: categorizes, combines,
compiles, composes, creates, devises,
designs, explains, generates, modifies,
organizes, plans, rearranges, reconstructs,
relates, reorganizes, revises, rewrites,
summarizes, tells, writes
Technologies: Create a new model, write an
essay, network with others
C o g n i t i v e P r o c e s s e s a n d L e v e l s o f K n o w l e d g e
M a t r i x
Bloom's Revised Taxonomy not only improved the usability of it by
using action words, but added a cognitive and knowledge matrix.
While Bloom's original cognitive taxonomy did mention three levels of
knowledge or products that could be processed, they were not
discussed very much and remained one-dimensional:
8. o Factual - The basic elements students must know to be acquainted with a
discipline orsolve problems.
o Conceptual – The interrelationships among the basic elements within a larger
structure that enable them to function together.
o Procedural - How to do something, methods of inquiry, and criteria forusing
skills, algorithms, techniques, and methods.
In Krathwohl and Anderson's revised version, the authors combine the
cognitive processes with the above three levels of knowledge to form a
matrix. In addition, they added another level of knowledge -
metacognition:
o Metacognitive – Knowledge of cognition in general, as well as awareness and
knowledge of one’s own cognition.
When the cognitive and knowledge dimensions are arranged in a
matrix, as shown below, it makes a nice performance aid for creating
performance objectives:
The Cognitive Dimension
The Knowledge
Dimension
Remember
Under-
stand
Apply Analyze Evaluate Create
Factual
Conceptual
Procedural
Metacognitive
However, others have identified five contents or artifacts (Clark,
Chopeta, 2004; Clark, Mayer, 2007):
o Facts - Specific and unique data or instance.
o Concepts - A class of items, words, or ideas that are known by a common
name, includes multiple specific examples, shares common features. There are
two types of concepts: concrete and abstract.
9. o Processes - A flow of events or activities that describe how things work rather
than how to do things. There are normally two types: business processes that
describe work flows and technical processes that describe how things work in
equipment or nature. They may be thought of as the big picture, of how
something works.
o Procedures - A series of step-by-step actions and decisions that result in the
achievement of a task. There are two types of actions: linear and branched.
o Principles - Guidelines, rules, and parameters that govern. It includes not only
what should be done, but also what should not be done. Principles allow one
to make predictions and draw implications. Given an effect, one caninfer the
cause of a phenomena. Principles are the basic building blocks of causal
models ortheoretical models (theories).
Thus, the new matrix would look similar to this:
The Cognitive Dimension
The Knowledge
Dimension
Remember
Under-
stand
Apply Analyze Evaluate Create
Facts
Concepts
Processes
Procedures
Principles
Metacognitive
An example matrix that has been filled in might look something like this:
The Knowledge
Dimension
Remember
Under-
stand
Apply Analyze Evaluate Create
Facts list
para-
phrase
classify outline rank categorize
Concepts recall explains show contrast criticize modify
Processes outline estimate produce diagram defend design
10. Procedures reproduce
give an
example
relate identify critique plan
Principles state converts solve
different-
iates
conclude revise
Meta-cognitive proper use interpret discover infer predict actualize