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Strategies are key to help with reading comprehension. They vary according to the challenges like new concepts, unfamiliar vocabulary, long and complex sentences, etc. Trying to deal with all of these challenges at the same time may be unrealistic. Then again strategies should fit to the ability, aptitude and age level of the learner.
Ashby (1960, section 11/5) offers three simple strategies for dealing with the same basic exercise-problem, which have very different efficiencies. Suppose a collection of 1000 on/off switches have to be set to a particular combination by random-based testing, where each test is expected to take one second.
The two solutions with the vertical axis denoting time, s the start, f the finish and T the torch The bridge and torch problem (also known as The Midnight Train [1] and Dangerous crossing [2]) is a logic puzzle that deals with four people, a bridge and a torch.
Gigerenzer & Gaissmaier (2011) state that sub-sets of strategy include heuristics, regression analysis, and Bayesian inference. [14]A heuristic is a strategy that ignores part of the information, with the goal of making decisions more quickly, frugally, and/or accurately than more complex methods (Gigerenzer and Gaissmaier [2011], p. 454; see also Todd et al. [2012], p. 7).
Scheyvens, Griffin, Jocoy, Liu, & Bradford (2008) further noted that "by utilizing learning strategies that can include small-group work, role-play and simulations, data collection and analysis, active learning is purported to increase student interest and motivation and to build students ‘critical thinking, problem-solving and social skills".
In other words, one strategy doesn't work for all sorts of memorisations. Because metamemory is important for the selection and application of strategies, it is also important for the improvement of memory. There are a number of mnemonists who specialise in different areas of memory and make use of different strategies to do so.
Aptitude is inborn potential to perform certain kinds of activities, whether physical or mental, and whether developed or undeveloped. Aptitude is often contrasted with skills and abilities, which are developed through learning. [1] The mass term ability refers to components of competence acquired through a combination of both aptitude and skills.
Robot in a wooden maze. A maze-solving algorithm is an automated method for solving a maze.The random mouse, wall follower, Pledge, and Trémaux's algorithms are designed to be used inside the maze by a traveler with no prior knowledge of the maze, whereas the dead-end filling and shortest path algorithms are designed to be used by a person or computer program that can see the whole maze at once.