فصلنامه مطالعات اندازه گیری و ارزشیابی آموزشی
پیاپی 41 (بهار 1402)

The purpose of this study is to develop an entrepreneurship education framework in schools, which can be used as a basis for planning the country's education managers.

this research is practical and data collection and analysis has been done based on meta-synthesis approach.

In this research, according to the meta-synthesis approach, 759 valid published articles were investigated between 1956 and 2021.  After refining and controlling the quality of texts, 77 articles were used for coding and analysis.

the extracted codes were synthesized and it led to 51 concepts and eight topics. These topics include: volunteers’ participation in entrepreneurship education, methods of entrepreneurship education, supporting entrepreneurship education, entrepreneurship education in other subjects, the acquired skills, the acquired attitudes, the acquired knowledge, and the method of evaluation.

Comparison of capabilities of three different algorithms of decision tree and neural network model in order to choose the appropriate classification model to evaluate the performance of national exam candidates.

It is based on a quantitative approach and a survey method, and the variables of gender, academic records and balance scores of each course were used as effective variables in the classification.

Considering all the variables without gender based on the neural network model, it was found that the specialized courses of mathematics, physics and chemistry, followed by the general courses of Persian and religion respectively, are the most important in the classification. The distance between the diploma and the national exam had the least effect. It was also found that if only variables related to test courses are considered, the order of importance of chemistry and physics courses will be shifted.

Based on the overall accuracy index, the neural network model algorithm with an accuracy greater than 0.95 has a higher performance than the decision tree algorithms. On the other hand, the inclusion of educational background variables has had a favorable effect on the accuracy of the neural network algorithm.

Acquisition of plurilingual and pluricultural competence (PPC) has gained considerable attention in recent years as an area of research in language teaching. This competency is particularly significant in multicultural communication and can be enhanced through the incorporation of L1 and translation in the classroom. However, there is limited research on how to incorporate this knowledge in language testing.

To address this gap, this study first examined translation strategies for Persian-to-English poster titles. The study analyzed 100 Persian posters translated into English between 2000 and 2022, using the model proposed by Gabrić et al. (2017) to identify three strategies: free translation, direct translation, and transcription in the translation of movie titles.

The findings revealed that direct translation was the most commonly used strategy, often without regard for the cultural and linguistic differences between Persian and English. In the second phase of the study, a speaking test was designed based on the translation of movie titles and administered to a group of 20 Iranian EFL students. The participants found some equivalents unnatural due to cultural and linguistic differences, but overall, they found the test to be quite motivating.

This study has important implications for EFL testing and the design of language proficiency tests at the national and international levels.

To identify challenging concepts and determine their difficulty level in the content of specialized courses in the biology curriculum of Kabul Education University.

This research was conducted in terms of practical purpose, in terms of information with a quantitative approach and in terms of data collection, descriptive-survey method. The statistical population of this research included 10 professors and 136 students (72 girls and 64 boys), which was conducted in the spring of 1401. A structured researcher questionnaire was used to collect data. After collecting the data, it was analyzed in 2 levels of descriptive statistics including tables and frequency of concepts and inferential statistics for normality using the Kolmogorov-Smirnov test and in the non-parametric method using the two-tailed significance level test.

In the descriptive analysis, the content of specialized biology courses was recognized by receiving 53.03 percent of challenging answers compared to 46.97 percent of comprehensible answers. Among the hundred concepts, 10 concepts have been recognized as challenging by the professors.

The findings using the test of the significance level of a sequence indicate that 18 concepts with a 95% confidence interval have a significant difference with the number 3 (higher difficulty level), 21 concepts (moderate difficulty) and other concepts within the comprehensible level.

The purpose of this study was the programs and measures related to the world-class university system in the form of a comparative study.   

The research method in this research was analytical For this purpose, books, study backgrounds and researches have been done and the existing documents about world-class universities in China, Japan, Singapore, Denmark, Taiwan, Hank Kong, South Korea, Canada, Sweden, Germany, France, Spain, Russia. The United States has been studied and analyzed. The collected methods were analyzed qualitatively.

The research findings showed that the measures related to the establishment of world-class universities in most countries, including financial support and investment in top universities, especially in the field of research, research improvement and excellence, educational excellence and internationalization. University and in some countries, managerial transformation, such as the reception of government and university officials from the emerging university model and its placement as one of the most important policies in the field of university system. In some countries, emphasis has also been placed on modernizing and rebuilding the educational and research infrastructure of universities and higher education institutions.

According to the results of the research, it can be acknowledged that there is agreement and difference in the measures taken to create and develop a world-class university, and Using of these differences and similarities, the higher education system of Iran with according to its conditions and requirements, it can choose the appropriate actions and components as well as formulate strategic plans to achieve a world-class university.

The present study was conducted with the aim of explaining the jurisprudential ruling of cheating in the exams of the educational system.

This pudding is of the basic type and was done in 2022. In this research, which is a descriptive-analytical method, the findings have been obtained by examining the four sources of jurisprudence, namely the Qur'an, Sunnat, reason and the consensus of jurists.

Research findings in the Holy Quran and hadiths show that titles such as fainting, betrayal and cruelty are definitely sanctited. In the case of intellect, the findings show the sanctity of the mentioned titles, because on the one hand, intellect confirms them, and on the other hand, the ruling of reason is also the ruling of Sharia. Terminological consensus is not relevant here.

The analysis of the data, which shows the absolute sanctity of fainting, betrayal, and cruelty, leads us to the conclusion that cheating in exams, which is one of the obvious examples of these titles, has absolute sanctity.