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Cztery wymiary uczenia się w projektowaniu scenariusza kursu e-learningowego

Gawlik-Kobylińska M.

Zeszyty Naukowe AON

2016

nr 4(105)

39--52

W artykule przedstawiono propozycję koncepcji projektowania scenariusza kursu e-learningowego, której podstawą jest analiza aktywności edukacyjnych na czterech płaszczyznach: poznawczej, emocjonalnej, społecznej oraz psychomotorycznej. Podstawę koncepcji stanowią wymienione przez K. Illerisa trzy wymiary uczenia się, które ze względu na specyfikę wykonywania zadań za pomocą narzędzi technologii komunikacyjno-informacyjnych zostały uzupełnione o wymiar związany z psychomotoryką. Przedstawione podejście jest uniwersalne – umożliwia harmonijne i przemyślane zaplanowanie elementów e-kursu na różnych aplikacjach i urządzeniach, a tym samym skuteczniejsze oddziaływanie na osobę uczącą się.

The article proposes a concept for e-course scenario design, which takes into account three dimensions of learning mentioned by K. Illeris: cognitive, emotional and social one. The author notes that due to the nature of the activity in cyberspace, the process of designing virtual resources should include an additional, fourth dimension - psychomotor. In her view, the adaptation of a modified concept of Illeris will help to optimise the process of analysis and design of educational activities, especially in the face of challenges that will arise in the nearest future.

A method for learning scenario determination and modification in intelligent tutoring systems

Kozierkiewicz-Hetmańska A., Nguyen N. T.

International Journal of Applied Mathematics and Computer Science

2011

Vol. 21, no 1

69-82

Computers have been employed in education for years. They help to provide educational aids using multimedia forms such as films, pictures, interactive tasks in the learning process, automated testing, etc. In this paper, a concept of an intelligent e-learning system will be proposed. The main purpose of this system is to teach effectively by providing an optimal learning path in each step of the educational process. The determination of a suitable learning path depends on the student's preferences, learning styles, personal features, interests and knowledge state. Therefore, the system has to collect information about the student, which is done during the registration process. A user is classified into a group of students who are similar to him/her. Using information about final successful scenarios of students who belong to the same class as the new student, the system determines an opening learning scenario. The opening learning scenario is the first learning scenario proposed to a student after registering in an intelligent e-learning system. After each lesson, the system tries to evaluate the student's knowledge. If the student has a problem with achieving an assumed score in a test, this means that the opening learning scenario is not adequate for this user. In our concept, for this case an intelligent e-learning system offers a modification of the opening learning scenario using data gathered during the functioning of the system and based on a Bayesian network. In this paper, an algorithm of scenario determination (named ADOLS) and a procedure for modifying the learning scenario AMLS with auxiliary definitions are presented. Preliminary results of an experiment conducted in a prototype of the described system are also described.