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The study aims to measure the effect of Task-based language teaching on grammatical achievement and the motivation of EFL learners at Dong Nai Technology University. The research will conduct a quick grammar test to administer 48 students at the school to achieve this goal. After sitting the test, the learners will undergo a 6-week course applying task-based language teaching. Before the treatment, one certified instructor-made grammar test about the learning units will be encompassed as the pre-test. Furthermore, a motivation questionnaire will be carried out in this group at the research's beginning and end. Afterward, the learners will learn through the treatment, which is learning through the implementation of Task-based language teaching. After six weeks of treatment, the group will take the same teacher-made grammar test as the post-test. After that, the writer will analyze the data through paired sample t-test. The results demonstrated a significant difference between the pre-test and post-test in the student's performance on grammar acquisition and the enhancement in learners' motivation. Based on the findings of this research, it is believed that task-based language teaching can be used in English classes to enhance learners' grammar achievements and motivation among Vietnamese university learners.

Purpose: The current study aims to explain the relationship between entrepreneurial education and entrepreneurial intention through a moderated mediation model from the lens of social cognitive career theory (SCCT). Specifically, two main objectives of this study are (1) to explore the mediation role of entrepreneurial self-efficacy in the relationship between entrepreneurial education and start-up intention and (2) to investigate the moderate role of family support on the effect of entrepreneurial education on entrepreneurial intention. Design/methodology/approach: This study uses a sample of 1879 students in Vietnam and SPSS PROCESS macro developed by Hayes (2012) to examine the indirect effect of entrepreneurial education on start-up intention via entrepreneurial self-efficacy and the moderated mediation effect of family support. Findings: This study reveals that the association between entrepreneurial education and entrepreneurial intention is partially mediated via entrepreneurial self-efficacy. Also, the effect of entrepreneurial education on entrepreneurial self-efficacy and start-up intention was negatively moderated by family support. Furthermore, the indirect effect of entrepreneurial education on intention to form a venture via entrepreneurial self-efficacy is also negatively moderated by family support. Originality/value: The entrepreneurial education and start-up intention linkage remain a significant gap in the entrepreneurship literature. Therefore, this research study is expected to contribute to clarifying this linkage by utilizing the SCCT to explain how entrepreneurial education contributes to entrepreneurial intention.

Accurate step counting is essential for indoor positioning, health monitoring systems, and other indoor positioning services. There are several publications and commercial applications in step counting. Nevertheless, over-counting, under-counting, and false walking problems are still encountered in these methods. In this paper, we propose to develop a highly accurate step counting method to solve these limitations by proposing four features: Minimal peak distance, minimal peak prominence, dynamic thresholding, and vibration elimination, and these features are adaptive with the user's states. Our proposed features are combined with periodicity and similarity features to solve false walking problem. The proposed method shows a significant improvement of 99.42% and 96.47% of the average of accuracy in free walking and false walking problems, respectively, on our datasets. Furthermore, our proposed method also achieves the average accuracy of 97.04% on public datasets and better accuracy in comparison with three commercial step counting applications: Pedometer and Weight Loss Coach installed on Lenovo P780, Health apps in iPhone 5s (iOS 10.3.3), and S-health in Samsung Galaxy S5 (Android 6.01). [ABSTRACT FROM AUTHOR]