Metacognition knowledge and academic achievement of university students

Topics: Knowledge, Cognition, Metacognition Pages: 8 (1692 words) Published: December 6, 2013
Metacognition knowledge and academic achievement of university students Introduction:
In general, metacognition is thinking about thinking. More specifically, Taylor (1999) defines metacognition as “an appreciation of what one already knows, together with a correct apprehension of the learning task and what knowledge and skills it requires, combined with the agility to make correct inferences about how to apply one’s strategic knowledge to a particular situation, and to do so efficiently and reliably.” The more students are aware of their thinking processes as they learn, the more they can control such matters as goals, dispositions, and attention. Self-awareness promotes self-regulation. If students are aware of how committed (or uncommitted) they are to reaching goals, of how strong (or weak) is their disposition to persist, and of how focused (or wandering) is their attention to a thinking or writing task, they can regulate their commitment, disposition, and attention. To increase their metacognitive abilities, students need to possess three kinds of content knowledge: declarative, procedural, and conditional. Declarative knowledge is the factual information that one knows; it can be declared—spoken or written. Procedural knowledge is knowledge of how to do something, of how to perform the steps in a process. Conditional knowledge is knowledge about when to use a procedure, skill, or strategy and when not to use it; why a procedure works and under what conditions; and why one procedure is better than another. Metacognition affects motivation because it affects attribution and self-efficacy. When students get results on tests and grades on assignments (especially unexpected results such as failures), they perform a mental causal search to explain to themselves why the results happened. When they achieve good results, students tend to attribute the result to two internal factors: their own ability and effort. When they fail, they might attribute the cause to these same internal factors or they might, in a self-protective rationalization, distance themselves from a sense of personal failure by blaming external causes, such as an overly difficult task, an instructor’s perverse testing habits, or bad luck. This tendency to attribute success to ability and effort promotes future success because it develops confidence in one’s ability to solve future unfamiliar and challenging tasks. The converse is also true. Attributing failure to a lack of ability reduces self-confidence and reduces the student’s summoning of intellectual and emotional abilities to the next challenging tasks; attribution theory also explains why such students will be unwilling to seek help from tutors and other support services: they believe it would not be worth their effort. In addition to blaming failure on external causes, underachievers often “self-handicap” themselves by deliberately putting little effort into an academic task; they thereby protect themselves from attributing their failure to a painful lack of ability by attributing their failure to lack of effort. The tasks that students need to perform vary not only among disciplines but among instructors in the same discipline. An effective strategy for preparing for a multiple choice test in biology is different from what is needed to prepare for a history exam with an essay that asks students to synthesize information from several chapters. Yet students often employ the same strategy—and sometimes the least effective strategy—for studying for very different kinds of tests. Furthermore, many students who perform badly misinterpret the tasks. Students need to understand the task accurately in order to use the most effective strategies. Research Question:

The basic aim of the study was to identify the relationship between meta-cognitive knowledge and academic achievement of university students. Methods: To analysis and interpretation of data and Survey was planned to collect data from...
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