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In the meantime, I've written a book, from which this article is drawn, about all that I've learned from my research. In my book, I focus on what I identify as seven myths, or widely held beliefs, that dominate our educational practice. I start with the myth that teaching facts prevents understanding, because this (along with my second myth, that teacher-led instruction is passive) is the foundation of all the other myths I discuss. These myths have a long pedigree and provide the theoretical justification for so much of what goes on in schools. Taken together, all seven myths actually damage the education of our pupils. But here, let's focus on facts and the role knowledge has in our understanding.

Why Is It a Myth? My aim here is not to criticize true conceptual understanding, genuine appreciation of significance, or higher-order skill development. All of these things are indeed the true aim of education. My argument is that facts and subject content are not opposed to such aims; instead, they are part of it. Rousseau, Dewey, and Freire were wrong to see facts as the enemy of understanding. All the scientific research of the last half-century proves them wrong. The modern bureaucrats and education experts who base policy and practice on their thinking are wrong too, and with less excuse, as they have been alive when evidence that refutes these ideas has been discovered. Rousseau was writing in the 18th century; Dewey at the turn of the 20th; Freire in the 1970s. Research from the second half of the 20th century tells us that their analyses of factual learning are based on fundamentally faulty premises.

If we want pupils to develop the skills of analysis and evaluation, they need to know things. Willingham puts it this way:23 Data from the last thirty years lead to a conclusion that is not scientifically challengeable: thinking well requires knowing facts, and that's true not just because you need something to think about. The very processes that teachers care about most—critical thinking processes such as reasoning and problem solving—are intimately intertwined with factual knowledge that is stored in long-term memory (not just found in the environment).

Here's another poster to help get you thinking about how you can apply Bloom's higher-order thinking skills in your classroom. This poster shows the segments of an orange with each segment relating to a thinking skill and some helpful verbs to serve as prompts.

The Enrichment Triad Model was designed to encourage creative productivity on the part of young people by exposing them to various topics, areas of interest, and fields of study, and to further train them to apply advanced content, process-training skills, and methodology training to self-selected areas of interest. Accordingly, three types of enrichment are included in the Triad Model (see Fig. 2). Type I enrichment is designed to expose students to a wide variety of disciplines, topics, occupations, hobbies, persons, places, and events that would not ordinarily be covered in the regular curriculum. In schools - that use this model, an enrichment team consisting of parents, teachers, and students often organizes and plans Type I experiences by contacting speakers, arranging minicourses, demonstrations, or performances, or by ordering and distributing films, slides, videotapes, or other print or non-print media. Figure 2. The enrichment triad model. [Click on the figure to see it as a PDF file.] Type II enrichment consists of materials and methods designed to promote the development of thinking and feeling processes. Some Type II training is general, and is usually carried out both in classrooms and in enrichment programs. Training activities include the development of. (1) creative thinking and problem solving, critical thinking, and affective processes; (2) a wide variety of specific learning how-to-learn skills; (3) skills in the appropriate use of advanced-level reference materials; and (4) written, oral, and visual communication skills. Other Type II enrichment is specific, as it cannot be planned in advance and usually involves advanced methodological instruction in an interest area selected by the student. For example, students who become interested in botany after a Type I experience might pursue additional training in this area by doing advanced reading in botany; compiling, planning and carrying out plant experiments; and seeking more advanced methods training if they want to go further. Type III enrichment involves students who become interested in pursuing a self-selected area and are willing to commit the time necessary for advanced content acquisition and process training in which they assume the role of a first-hand inquirer. The goals of Type III enrichment include: providing opportunities for applying interests, knowledge, creative ideas and task commitment to a self-selected problem or area of study, acquiring advanced level understanding of the knowledge (content) and methodology (process) that are used within particular disciplines, artistic areas of expression and interdisciplinary studies, developing authentic products that are primarily directed toward bringing about a desired impact upon a specified audience, developing self-directed learning skills in the areas of planning, organization, resource utilization, time management, decision making and self-evaluation, developing task commitment, self-confidence, and feelings of creative accomplishment.

This taxonomy of learning behaviors can be thought of as “the goals of the learning process.” That is, after a learning episode, the learner should have acquired new skills, knowledge, and/or attitudes.

Analysis: 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. Synthesis: 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. Evaluation: 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.

Metacognitive experiences involve the use of metacognitive strategies or metacognitive regulation (Brown, 1987). Metacognitive strategies are sequential processes that one uses to control cognitive activities, and to ensure that a cognitive goal (e.g., understanding a text) has been met. These processes help to regulate and oversee learning, and consist of planning and monitoring cognitive activities, as well as checking the outcomes of those activities.

Self-questioning is a common metacognitive comprehension monitoring strategy. If she finds that she cannot answer her own questions, or that she does not understand the material discussed, she must then determine what needs to be done to ensure that she meets the cognitive goal of understanding the text.

Knowledge is considered to be metacognitive if it is actively used in a strategic manner to ensure that a goal is met. For example, a student may use knowledge in planning how to approach a math exam: "I know that I (person variable) have difficulty with word problems (task variable), so I will answer the computational problems first and save the word problems for last (strategy variable)." Simply possessing knowledge about one's cognitive strengths or weaknesses and the nature of the task without actively utilizing this information to oversee learning is not metacognitive.

Make the chunks or pieces of information small enough to appeal to and be processed by those who have only 15 to 30 minutes a day to log in. These small pieces of information can quickly be processed by the student who can then return later to finish other assignments. There can be more than one chunk of information per unit or module, but the unit itself should be broke into manageable chunks.

An online syllabus should also contain information relating to the length of time a given assignment is anticipated to take for the average student.

With an engaging course in which many students are active participants, the number of messages posted within any course discussion forum can quickly grow. When such a case presents itself, it is a good idea to give specific minimum (and maximum if necessary) requirements concerning the number of posts each student is required to submit. For example, in an ice-breaking activity, you could require each student to post responses to 2 other student posts chosen by selecting the student above and below that student in a listing of students sorted by some criteria such as alphabetically by login. When minimum requirements and other guidelines are given, students know how much work is expected of them for the assignment, ensuring that they will allocate enough time to do an adequate job and enabling them able to prioritize their time. Even an active student can have a busy week in which he/she must schedule time to properly meet this minimum requirement.