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RISS 인기검색어
- 검색키워드
- 저자 : Ali Asghar Ghasemi (검색결과 3 건)
- 무료
- 기관 내 무료
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Ali Asghar Ghasemi,Hamid Reza Dowlatabadi 아시아영어교육학회 2018 The Journal of Asia TEFL Vol.15 No.3
This study aims to identify and investigate the role of task value (drawn from expectancy-value theory), surface/deep learning strategies, and critical thinking for predicting language learners’ selfregulation and ultimate language achievement in a single framework. To this end, 190 participants, majoring in English at bachelor’s level at a state university in Iran, were selected based upon convenience sampling. A structural equation model showed that both motivational and cognitive components were significant predictors of language achievement and self-regulation. The results reveal that task value is a positive predictor of deep/surface learning strategies and metacognitive selfregulation, which provides evidence that awareness of the importance and value of a task, directs learners to choose more appropriate self-regulation strategies to monitor their process of learning and structure their own cognitive manners. The findings demonstrated that critical thinking predicts improvement in language achievement. Theoretically speaking, it has been argued that the ability to critically analyze learning materials and evaluate information enables learners with advanced proficiency to actively take part in the learning process, be further dedicated to their tasks, and more effectively and efficiently engaged in learning strategies, therefore making more successful learners. Finally, the implication for teachers and policy makers is discussed.
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Language Learning Strategies, Multiple Intelligences and Self-Efficacy : Exploring the Links
Moussa Ahmadian,Ali Asghar Ghasemi 아시아영어교육학회 2017 The Journal of Asia TEFL Vol.14 No.4
Recent research on students’ multiple intelligences, self-efficacy, and language learning strategies has provided evidence for the development of crucial constructs and generalizations which have direct applications to language classrooms. The present study examined the interrelationships between the strategies language learners take, their level of self-efficacy, and the types of their intelligences (based on Gardner’s (1983) Theory of Multiple Intelligences). To do so, Nation’s (1990) 50-item multiple - choice vocabulary test was administered by a university department to form homogeneous groups across all the majors of the department. Then, three surveys were adapted to explore the links between (1) Self-efficacy in Reading (SER) (Prat-Sala & Redford, 2010), (2) a Multiple Intelligence Scale (Armstrong, 1993), and (3) Oxford’s (1990) Language Learning Strategies. The most striking observation to emerge from the data comparison was that self-efficacy had no significant correlation with multiple intelligences. However, as expected, there was a significant correlation between language learners’ perceptions of their self-efficacy and their language leaning strategies. Additionally, a multiple regression analysis indicated notable results on the use of self-efficacy and multiple intelligences to predict language learning strategies.
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Moshiran, Vahid Ahmadi,Karimi, Ali,Golbabaei, Farideh,Yarandi, Mohsen Sadeghi,Sajedian, Ali Asghar,Koozekonan, Aysa Ghasemi Occupational Safety and Health Research Institute 2021 Safety and health at work Vol.12 No.3
Background: Styrene is one of the aromatic compounds used in acetonitrile-butadiene-styrene (ABS) producing petrochemicals, which has an impact on health of workers. Therefore, this study aimed to investigate the health risks of styrene emitted from the petrochemical industry in Iran. Methods: Air samples were collected based on NIOSH 1501 method. The samples were analyzed by the Varian-cp3800 gas chromatograph. Finally, risk levels of styrene's health effects on employees were assessed by the quantitative method of the U.S. Environmental Protection Agency (U.S. EPA) and the semiquantitative way by the Singapore Occupational Safety and Health Association. Results: Based on the results, the employees had the highest average exposure to styrene vapors (4.06 × 10<sup>-1</sup>mg.(kg - day)<sup>-1</sup>) in the polybutadiene latex (PBL) unit. Therefore, the most top predictors of cancer and non-cancer risk were 2.3×10<sup>-4</sup> and 7.26 × 10<sup>-1</sup>, respectively. Given that the lowest average exposure (1.5 × 10<sup>-2</sup>mg.(kg - day)<sup>-1</sup>) was in the dryer unit, the prediction showed a moderate risk of cancer (0.8 × 10<sup>-6</sup>) and non-cancer (2.3 × 10<sup>-3</sup>) for the employees. The EPA method also predicted that there would be a definite cancer risk in 16% and a probable risk in 76% of exposures. However, according to the semiquantitative approach, the rate of risk was at the "low" level for all staff. The results showed that there was a significant difference (p < 0.05) between the units in exposure and health risk of styrene (p < 0.05). Conclusion: Given the high risk of styrene's health effects, appropriate control measures are required to reduce the exposure level.
eArticle
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