Add to ORKGA Markov chain is introduced to the major steps of the process of learning a subject matter by a group of students in the classroom, in order to obtain a mathematical representation of the above process. A classroom experiment for learning mathematics is also presented illustrating the applicability of our results in practice
SIGLEAvailable from TIB Hannover: RR 8460(2003,17) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
This paper presents an application of Markov Analysis of student flow in a higher educ...
A stochastic process that arises by composing a function with a Markov process is called an aggregat...
A Markov chain is introduced to the major steps of the process of learning a subject matter by a gro...
Abstract. Markov Chains are introduced by only assuming some knowledge of the notion of probability....
The course Stochastic Processes aims at showing the importance of stochastic models in which time pl...
Markov Chains are introduced by only assuming some knowledge of the notion of probability. The model...
The Markov chain model teaching evaluation method is a quantitative analysis method based on probabi...
Stochastic processes have many useful applications and are taught in several university programmes. ...
The quality education is an essential element in economic, political and social development of any c...
We examine the challenges of teaching probability through the use of modelling. We argue how an inte...
It is an established opinion that young children have good probabilistic intuitions although their m...
Aims: To introduce the student to a range of examples of probabilistic methods used to model systems...
Stefanutti (2019) recently developed procedures and a related theory for deriving learning spaces fr...
Unlike the summative assessment, that points to grade the learning outcome of a student, the formati...
SIGLEAvailable from TIB Hannover: RR 8460(2003,17) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
This paper presents an application of Markov Analysis of student flow in a higher educ...
A stochastic process that arises by composing a function with a Markov process is called an aggregat...
A Markov chain is introduced to the major steps of the process of learning a subject matter by a gro...
Abstract. Markov Chains are introduced by only assuming some knowledge of the notion of probability....
The course Stochastic Processes aims at showing the importance of stochastic models in which time pl...
Markov Chains are introduced by only assuming some knowledge of the notion of probability. The model...
The Markov chain model teaching evaluation method is a quantitative analysis method based on probabi...
Stochastic processes have many useful applications and are taught in several university programmes. ...
The quality education is an essential element in economic, political and social development of any c...
We examine the challenges of teaching probability through the use of modelling. We argue how an inte...
It is an established opinion that young children have good probabilistic intuitions although their m...
Aims: To introduce the student to a range of examples of probabilistic methods used to model systems...
Stefanutti (2019) recently developed procedures and a related theory for deriving learning spaces fr...
Unlike the summative assessment, that points to grade the learning outcome of a student, the formati...
SIGLEAvailable from TIB Hannover: RR 8460(2003,17) / FIZ - Fachinformationszzentrum Karlsruhe / TIB ...
This paper presents an application of Markov Analysis of student flow in a higher educ...
A stochastic process that arises by composing a function with a Markov process is called an aggregat...