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Curriculum Design Models

Bloom's Cognitive Domain

Anderson's Revised Cognitive Domain

Using Bloom's Taxonomy to Assess Possible Instructional Approaches

Direct Instruction Methods

Constructivist Methods

Curriculum Design Models

There are various design models that have been proposed by curriculum design research. The most common model, and the one to which other models are frequently compared, is the objectives model, also called the rational model, devised by Ralph Tyler in 1949. According to this model there are four questions asked by the curriculum developer. These questions are:

What educational purposes should the school seek to attain?
What educational experiences can be provided that are likely to attain these purposes?
How can these educational experiences be effectively organised?
How can we determine whether these purposes are attained?

These questions lead to a four stage process in designing the curriculum:

Stating objectives,
Selecting learning experiences,
Organising learning experiences, and
Evaluation.

The rational model was refined by Hilda Taba in 1962, who added three additional stages. These additional stages involve the diagnosis of the learning needs prior to formulating objectives, and the selection and organisation of content. She identified the following 7 stages in the curriculum design process:

Step One: Diagnosing Needs,
Step Two: Formulating Specific Objectives,
Step Three: Selecting Content,
Step Four: Organising Content,
Step Five: Selecting Learning Experiences,
Step Six: Organising Learning Experiences,
Step Seven: Evaluating
Step Eight: Checking for Balance and Sequence

These earlier models are often differentiated from later models in the fact that there was little or no backtracking through the process. Later models such as the cyclic models differ from these mainly in the number of times you go through each step in the process, or the order of steps but as is, this linear model is a great starting point for the new teacher.

All of these models are dependent on accurately identifying the cognitive level of learning objectives and learner capabilities in meeting these objective across cognitive and affective domains, a process which is greatly understood if one begins by understanding Benjamin Bloom's taxonomy of the cognitive domain and its later revisions.

Bloom's Cognitive Domain

1. Knowledge

Knowledge is defined as the remembering of previously learned material. This may involve the recall of a wide range of material, from specific facts to complete theories, but all that is required is the bringing to mind of the appropriate information. Knowledge represents the lowest level of learning outcomes in the cognitive domain.

Examples of learning objectives at this level are: know common terms, know specific facts, know methods and procedures, know basic concepts, know principles.

2. Comprehension

Comprehension is defined as the ability to grasp the meaning of material. This may be shown by translating material from one form to another (words to numbers), by interpreting material (explaining or summarizing), and by estimating future trends (predicting consequences or effects). These learning outcomes go one step beyond the simple remembering of material, and represent the lowest level of understanding.

Examples of learning objectives at this level are: understand facts and principles, interpret verbal material, interpret charts and graphs, translate verbal material to mathematical formulae, estimate the future consequences implied in data, justify methods and procedures.

3. Application

Application refers to the ability to use learned material in new and concrete situations. This may include the application of such things as rules, methods, concepts, principles, laws, and theories. Learning outcomes in this area require a higher level of understanding than those under comprehension.

Examples of learning objectives at this level are: apply concepts and principles to new situations, apply laws and theories to practical situations, solve mathematical problems, construct graphs and charts, demonstrate the correct usage of a method or procedure.

4. Analysis

Analysis refers to the ability to break down material into its component parts so that its organizational structure may be understood.

This may include the identification of parts, analysis of the relationship between parts, and recognition of the organizational principles involved. Learning outcomes here represent a higher intellectual level than comprehension and application because they require an understanding of both the content and the structural form of the material.

Examples of learning objectives at this level are: recognize unstated assumptions, recognizes logical fallacies in reasoning, distinguish between facts and inferences, evaluate the relevancy of data, analyze the organizational structure of a work (art, music, writing).

5. Synthesis

Synthesis refers to the ability to put parts together to form a new whole. This may involve the production of a unique communication (theme or speech), a plan of operations (research proposal), or a set of abstract relations (scheme for classifying information). Learning outcomes in this area stress creative behaviors, with major emphasis on the formulation of new patterns or structure.

Examples of learning objectives at this level are: write a well organized theme, gives a well organized speech writes a creative short story (or poem or music), propose a plan for an experiment, integrate learning from different areas into a plan for solving a problem, formulates a new scheme for classifying objects (or events, or ideas).

6. Evaluation

Evaluation is concerned with the ability to judge the value of material (statement, novel, poem, research report) for a given purpose.

The judgments are to be based on definite criteria. These may be internal criteria (organization) or external criteria (relevance to the purpose) and the student may determine the criteria or be given them. Learning outcomes in this area are highest in the cognitive hierarchy because they contain elements of all the other categories, plus conscious value judgments based on clearly defined criteria.

Examples of learning objectives at this level are: judge the logical consistency of written material, judge the adequacy with which conclusions are supported by data, judge the value of a work (art, music, writing) by the use of internal criteria, judge the value of a work (art, music, writing) by use of external standards of excellence.

Skills Demonstrated
Knowledge

observation and recall of information

knowledge of dates, events, places

knowledge of major ideas

mastery of subject matter

Question Cues: list, define, tell, describe, identify, show, label, collect, examine, tabulate, quote, name, who,when, where, etc.

Comprehension

understanding information

grasp meaning

translate knowledge into new context

interpret facts, compare, contrast

order, group, infer causes

predict consequences

Question Cues: summarize, describe, interpret, contrast, predict, associate, distinguish, estimate, differentiate, discuss, extend

Application

use information

use methods, concepts, theories in new situations

solve problems using required skills or knowledge

Questions Cues: apply, demonstrate, calculate, complete, illustrate, show, solve, examine, modify, relate, change, classify, experiment, discover

Analysis

seeing patterns

organization of parts

recognition of hidden meanings

identification of components

Question Cues: analyze, separate, order, explain, connect, classify, arrange, divide, compare, select, explain, infer

Synthesis

use old ideas to create new ones

generalize from given facts

relate knowledge from several areas

predict, draw conclusions

Question Cues: combine, integrate, modify, rearrange, substitute, plan, create, design, invent, what it?, compose, formulate, prepare, generalize, rewrite

Evaluation

compare and discriminate between ideas

assess value of theories, presentations

make choices based on reasoned argument

verify value of evidence

recognize subjectivity

Question Cues: assess, decide, rank, grade, test, measure, recommend, convince, select, judge, explain, discriminate, support, conclude, compare, summarize

Anderson's Revised Cognitive Domain

During the 1990's, Lorin Anderson (a former student of Benjamin Bloom) led a team of cognitive psychologists in revisiting the taxonomy with the view to examining the relevance of the taxonomy as we enter the twenty-first century.

As a result of the investigation a number of significant improvements were made to the existing structure.

REMEMBERING

Recognise, list, describe, identify retrieve, name ….

Can the student RECALL information?

UNDERSTANDING

Interpret, exemplify, summarise, infer, paraphrase …..

Can the student EXPLAIN ideas or concepts?

APPLYING

Implement, carry out, use …

Can the student USE the new knowledge in another familiar situation?

ANALYSING

Compare, attribute, organise, deconstruct …

Can the student DIFFERENTIATE between constituent parts?

EVALUATING

Check, critique, judge hypothesise ...

Can the student JUSTIFY a decision or course of action?

CREATING

Design, construct, plan, produce ...

Can the student GENERATE new products, ideas or ways of viewing things ?

Using Bloom's Taxonomy to Assess Possible Instructional Approaches

Bloom's Taxonomy can be used as a rough guide as to the selection of a direct instruction or constructivist learning approach for instruction in the classroom.

 

 

Direct Instruction Methods

Under the Direct Instruction model the teacher controls instructional goals, chooses materials appropriate to students abilities, and paces the learning episode – students moved through a sequenced set of materials or tasks under the teacher's direct supervision.

Utilize this approach when:

1. Learning specific information and skills (Lower Order Knowledge)

2. Instructions must be given in skill learning (i.e. use of triple beam balance, Bunsen burner)

3. Safety is an issue (use of heat with younger children)

4. Extrinsic motivation is required – i.e. in form of story, demonstration, and discrepant event

Characteristics of Directed Instruction:

1. Clear set of learning expectations

2. Generally large group, teacher directed instruction

3. Continuous monitoring of student progress

4. Low level questioning

3 phases in teacher directed instruction

1. Motivating learners

2. Presentation of new information

3. Guided practice, feedback and application

Step 1 - Motivating Learners - students must be motivated enough to focus their attention on the learning task and then maintain their involvement until the task is complete.

Step 2 - Presentation of new information - delivering new information to students through language.

Explanations - attempt to use frequent interaction and questions
Modeling - step by step

Demonstrations - complex instructions, limited equipment, safety issue, high skill level required

Textbooks - valuable source of information

Student Workbooks and Journals - organization and storage of information

A.V. materials - interesting and accurate way of presenting new information

Step 3 - Guided Practice, Feedback and Application

Elements include confirming and corrective feedback

Students tend to work individually, although group work acceptable

Opportunities include:

answer questions, solve problems, build structures, models, draw diagrams, demonstrate a skill

Constructivist Methods

 

The Constructivist Learning Model (CLM) is based on the theory that people learn best by actively constructing their own knowledge. The CLM presents the students with the opportunities to build on prior knowledge and understanding to construct new knowledge and understanding from real experiences. In this model of learning, students are encouraged to explore possibilities, invent solutions, try out ideas, collaborate with others, rethink problems, and in the end present the best solution they can devise. The CLM believes that knowledge is personal and contextual.

Use CLM with complex issues or fuzzy questions, or any time when a higher order understanding is required.

The CLM holds the thought that:

1. knowledge cannot be transmitted from one person to another directly;

2. the learner will build their own knowledge by being actively involved with hands on experiences;

3. each person’s knowledge is unique;

4. personal knowledge is confirmed through social interaction and application within the learner’s environment.

Three phases of constructivist learning:

1. Clarifying existing knowledge

2. Identifying, receiving and understanding new information

3. Confirming and using new knowledge

Step 1 – Uncover/Clarify Existing Knowledge

children and adults have preconceived notions and it is important to “alter” or “change” these concepts (ideas)

children ideas challenged with correct scientific knowledge – persuade the child to abandon or alter their idea and accept the scientifically correct one

Strategies for Step 1 –

interviews or group discussions

seriating and classifying

seriating – putting objects in order based on some measurable characteristic (i.e. mass)

classifying – group objects using one or more qualitative or quantitative characteristic (colour, shape, size)

semantic mapping (concept mapping) – brainstorming for ideas around a central idea

discrepant event – an event that does not fit with logic

Step 2 – Identifying, Receiving and Understanding new knowledge

mutual planning – strong motivational tool – children have input into what is to be learned about topic

group discussions about what to be learned – provide parameters

Strategies for step 2 –

advance organizers – how new information ties into existing knowledge

metacognition – learners monitor their own learning – self-directed learners

techno-sciencing – activity-based with explanations – decide on this yourself – personal philosophy

analogy – use familiar ideas to introduce analogous ideas

Step 3 – Confirming and using new information

application of new knowledge

much of a person’s knowledge is constructed through social interactions – learner receives information to construct knowledge – knowledge is clarified and confirmed as they apply new knowledge to a situation – knowledge is modified according to feedback

Strategies in Steps 3

co-operative learning

building and using models – assists in creating understanding; also demonstrates understanding of concepts, principles and processes

excellent technique to use in acquiring and confirming knowledge

experimentation/design and tech – inquiry based

integrated approach – making connections between the topic in question and other ideas

subject areas – theme - application to real life increased relevance

     


Building on the NETS for Students, the ISTE NETS for Teachers (NETS•T), which focus on preservice teacher education, define the fundamental concepts, knowledge, skills, and attitudes for applying technology in educational settings. All candidates seeking certification or endorsements in teacher preparation should meet these educational technology standards.
Meet Your Standards !!!

ISTE Student Standards
The technology foundation standards for students are divided into six broad categories. Standards within each category are to be introduced, reinforced, and mastered by students. These categories provide a framework for linking performance indicators within the Profiles for Technology Literate Students to the standards. You can use these standards and profiles as guidelines for planning technology-based activities in which students achieve success in learning, communication, and life skills.

Meet Their Standards !!!

Are You Ready for the Praxis??
If you want to certify you may have to get past the Praxis !
Get Informed !!!

Stay Current For Free !!!
Technology Horizons in Education (T.H.E. Journal) is free for educators and has some great information on current trends in the area of technology integration.
T.H.E. Journal

Read the Research !!!
It is possible to access the latest in research findings through electronic archives such as those provided by the Journal of Technology in Education
JTE Electronic Archive

AACE Archives
The Association for the Advancement of Computing in Education's Digital Library is a valuable online resource of peer-reviewed and published international journal articles and proceedings papers on the latest research, developments, and applications related to all aspects of Educational Technology and E-Learning. SOME current articles are available for free download off of the AACE site.

AACE Electronic Journals

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