Not exact matches
Previous blog entries by my colleagues have given an overview of this process, as well as exploring how we
include student voice and work with
authentic problems.
The typology
includes logical
problems, algorithmic
problems, story
problems (which have underlying algorithms with a story wrapper that amounts to an algorithmic
problem), rule - using
problems, decision - making
problems (e.g., cost - benefit analysis), troubleshooting (systematically diagnosing a fault and eliminating a
problem space), diagnosis - solution
problems (characteristic of medical school and involving small groups understanding the
problem, researching different possible causes, generating hypotheses, performing diagnostic tests, and monitoring a treatment to restore a goal state), strategic performance, case analysis (characteristic of law or business school and involving adapting tactics to support an overall strategy and reflecting on
authentic situations), design
problems, and dilemmas (such as global warming, which are complex and involve competing values and which may have no obvious solutions).
The typology
includes: logical
problems, algorithmic
problems, story
problems (which are algorithmic
problems with a story wrapper), «rule - using»
problems, decision - making
problems (e.g., cost - benefit analysis), troubleshooting (systematically diagnosing a fault, eliminating a
problem space), «diagnosis - solution»
problems (characteristic of medical school, which involve small groups understanding the
problem, researching different possible causes, generating hypotheses, performing diagnostic tests, and monitoring a treatment to restore a goal state), strategic - performance, case analysis (characteristic of law or business school, which involve adapting tactics to support an overall strategy and reflecting on
authentic situations), design
problems, and dilemmas (such as global warming, which are complex and involve competing values, and which may have no solutions).
Problem - based learning using
authentic assessment helps them to do that by providing the opportunity to learn skills that can be directly applied to other environments,
including the workplace.
Teach your students about making positive change in the world by connecting with them, discussing real - world
problems and multiple perspectives, creating classroom community, and
including authentic assessment.
By taking maths into the outdoors we see clear beneficial outcomes for school groups,
including the ability of children to bridge the gap between theory and every day use, driving inquisitive thought processes, a positive attitude to approaching new challenges, and the ability to apply
authentic problem solving strategies.
The MPX section of the school website
includes links to other projects and activities we have done as well as links to blogs that give you a up - to - date view of the work our leaders and learners are doing — challenges and successes, their reflections about their work and the process involved in rolling up our sleeves and trying to do
authentic problem - solving.
Our journey starts from the beginning of the 20th century, and
includes, inter alia, the famous Pavlovian Conditioning and Skinner's Operant Conditional Theory, continues through the mid 50s and the first time computers were used in learning environments, the influential
Problem - Based Learning inspired by Howard Barrows in the 60s, David Merrill's Component Display Theory, the Cognitive Flexibility Theory in the late 1980s that aims to develop the learner's ability to comprehend multidimensional situations, the introduction of multimedia and CD - ROMs in educational environments in the 90s, to the development of WebQuest in 1995, and the launch of the
Authentic Learning Model in the late 2000s by Marilyn Lombardi.
Measuring these school - wide standards — such as effective communication,
problem solving, or habits of work — must
include establishing clear criteria (rubrics), designing
authentic assessments (performance tasks), and a calibrated system of tracking student performance.
Instruction is discovery based and engages students in
authentic problem solving that emphasizes real - world contexts,
including statistics and finance.
It
includes hands - on, inquiry - based learning where the students are actively engaged in learning and solving
authentic problems.