Landa's algo-heuristic theory of designing instruction
|Landamatics provide some tools for more efficient learning and teaching approaches.|
Lev N. Landa
Landamatics ten years later.
In: Educational Technology, 33(6), 7-18
Instructional Regulation and Control:
Cybernetics, Algorithmization, and Heuristics in Education.
Algorithmization in Learning and Instruction.
- Kinds of knowledge: images, concepts, propositions
- Algorithmic and heuristic processes
- Snowball principle
|Landa's algo-heuristic theory of designing instruction|
|Interacting outcomes of instructional activity||
Outcomes of instruction are e.g.:
|Landa's algo-heuristic theory of learning and performance|
|Breaking down for better handling||
This theory deals with understanding and describing specific processes and operations:
- cognitive processes
Teaching it reliably by making it small
- making a phone call
- starting a car
A prescription determining these operations is an algorithmic prescription or an algorithm.
- searching for a new tool (capable of solving some technical problem when no available tools can solve the problem)
- choosing an attribute of a geometical figure among existing or known attributes while solving a problem of proof
A prescription determining these operations is a heuristic prescription.
It is not true
|Algo-heuristic prescriptions for efficient instruction|
Three types of algo-heuristic prescriptions increase efficiency in instruction
indicate what to do in order to perform at mastery level.
indicate what to do in order to learn how to perform at mastery level.
indicate what to do in order to develop algo-heuristic processes in performers and/or learners.
|Fundamental principles of Landamatics|
A system of techniques for
- penetrating unobservable, non-conscious, and intuitive mental processes underlying expert performance,
- breaking those processes down into elementary component operations;
- describing those operations explicitly - both manual and cognitive;
- composing algorithmic or heuristic prescriptions for non-experts: what they should do to perform at an expert level.
The significance of this approach
The algo-heuristic theory of instruction is a theory for
conscious and unconscious processes underlying abilities of expert learners to perform at mastery level.
the uncovered processes in the form of hypothetical-descriptive models.
the correctness and completeness of the descriptive models by designing prescriptions.
final algorithmic or non-algorithmic ideal procedures enabling non-experts to perform at a mastery level.
the learning procedures leading to the development in learners of performance algorithms or heuristics.
algo-heuristic teaching procedures capable of effective development of algo-heuristic performance and learning procedures in students.
algo-heuristically based training courses and materials.
computer-based or other media based programs on the basis of algo-heuristic training programs.
methods for evaluating the efficiency of Landamatic methods of learning and instruction.
|Teaching the algo-heuristic process|
The snowball method
The snowball principle of developing multi-operation procedures - step-by-step:
And so on . . .
|Automatisation of cognitive operations|
by connecting subsets of operations to the already existing sets and thus creating bigger blocks.
The snowball principle of formation of cognitive operations develops the ability to perform several operations as one operation.
The heart of the method
USQ University of Southern Queensland, Australia
Lev N. Landa
Chris Mueller (email@example.com)
++41 (0)52 301 3301 phone
|97 06 04|