فصلنامه فناوری آموزش
سال سوم شماره 4 (پیاپی 12، پاییز 1388)

One of the most important parameters in personalization of adaptive learning web-based educational systems is learning style. Up to now, various  learning styles proposed and this paper tries to evaluate the efficiency of using one of them, Jackson model. In this study, we  categorized students as model says and delivered learning content matched to each group learning style.  Findings of the study indicate differences in performance between matched and non-matched students in one case of the study and in the other case, demonstrate no significant difference. Although these results pertain to an undergraduate educational session, however our proposed framework is general enough to be applied to effective and efficient pedagogy in any area at any level.

In today's speedily world, electronic learning is use to obtaining knowledge, is quickly progressing , developing and changing .This growing process forces people in charge to utilize scientific and logical methods in implementation , evaluation and management of electronic learning systems. One of the methods according to intellect and logic in electronic learning , is the examination of prerequisites and evaluation of facilities before implementation of electronic learning system. This research was accomplished the goal of examination the facility of implementation of this kind of learning , in Sistan and Baluchestan university. Statistical society is all the student of this university in the second semester of 86-87 educational year . The sample of this research was selected 332 student and the method was random sampling. The means of the research was a standard questionnaire that before was used by another scholar .To analyze the data , descriptive statistical method (average ,standard deviation and variance) and presumptive statistical method (analyzing the unilatral variance ANOVA and T- test, were used. The findings of this research showed that the students of Sistan and Baluchestan university  , have relative readiness to enter the electronic learning . moreover , analyzing data presumptively showed the drastically difference between geography students and training science college , management and accounting college students considering of electronic learning .But in other questions of research much more difference was not observed.

The purpose of this study was to investigate whether self-assessment as a metacognitive strategy has any obvious effect on improving grammatical knowledge of Iranian EFL students. To achieve the purpose, 60 male junior high school students with the age range of 13-16 participated in this study. A Nelson test was administered to homogenize the two groups regarding language proficiency and outliers were discarded. The researcher had one experimental and one control group. To determine students' level of grammatical knowledge a pre-test developed by Farhady (2000) was administered. The result showed that there was no significant difference between the two groups. After the pre-test the treatment began. The control group received no extra instruction and underwent traditional assessment. Whereas the experimental group went through the process of self-assessment whereby they checked their own activities and found their own strengths and weaknesses. Self-assessment was practiced for six sessions during three months. A session after the treatment was over; a post-test developed by Farhady (2000) was administered. The results were compared through an independent t-test. The value of t was 3.417 with a significance of .001 depicting a significant difference between the two groups in the study. The outcome showed that self-assessment had a positive effect on improving students' grammatical knowledge. The findings of this study will be an incentive for syllabus designers as well as teachers and students to allocate specific time to self-assessment. Teachers can use self-assessment along with other activities to improve grammatical knowledge.

With changes in lifestyle, children’s daily experience is separating the natural world. Can be said of children and nature connection in today’s world is a failure and one of the most important places for re-establishing this connection are schools. What it said in this article is various aspects of functioning of nature in educational spaces. Difference in these aspects can be an important factor in how the design of natural spaces and how their presence in the educational spaces and spaces so this is efficient. This article recognition various nature’s potentials in the development and education of children and explores practical solutions for them.

Modeling and simulation of urban growth could be a good means for explaining the mutual relationship between the man made and natural environment, in order to assist planning decision makers in their decisions in complex situations. A cellular automaton is an effective method in explanation of urban growth processes and a useful means for evaluation of environmental and social consequences of various planning scenarios.  This article reviews the application of cellular Automata method in urban growth modeling. Firstly it introduces the model, its major elements and principles.  Secondly the operation for urban growth simulation is explained. The purpose of this article is to suggest ways in which researchers can model urban phenomena with Cellular Automata approach.

Although GA optimization is among optimization methods, the method may not be successfully employed in all cases due to slow down in process and some other unknown parameters including the number of generations, cross over ratio, mutation ratio, and the selection process which cause local optimized points. In this paper a new approach is proposed to perform GA for optimization of cross section and topology of trusses that reduces such problems. A complete system with different sub sections, called island, is used to search in the design space. In each island, different operators and parameters are used separately. After some generations, depending on the migration ratio, the best chromosomes from each island alter the chromosomes with lower fitness in other island. Based on the proposed method, GA is continued until the global optimum with the least dependence on the GA parameters is achieved. The results were evaluated with some standard examples.

During the press working process of the shearing progressive die, the position of the die's pressure center has a direct impact on whether the die can work accurately in balance. If the shearing progressive die suffers from being off-center the area close to the product edge may have a burr. This paper describes a system for feature recognition of sheet metal components from standard files and optimal strip working sequence for shearing progressive die. The system initially recognizes the different kinds of internal and external cutting features then genetic algorithms (GA) are applied as a solution tool in the analysis of the optimal strip working sequence possessing a smaller difference between the right and left torque in the shearing progressive die. The purpose is to reduce the time spent in adjusting the pressure center of the shearing progressive die. The system was developed using Microsoft Visual Basic .NET 2003.