Emotional Intelligence (EI) is essential attribution among school learners of today. In this respect, determination and normalization of the measures to investigate and recognize dimensions levels help educators have a successful intervention and increase students' academic achievement level. This research aimed to explore the relationship between Emotional Intelligence (EI) and the academic achievement of Arabic basic school students in China. Further, it also sought to determine the level of students' emotional intelligence and motivation to learn. The research aims are addressed through a tool that explores emotional intelligence and motivation. A 60-item for initial emotional intelligence scale was utilized and analyzed to test their psychometric properties by pilot testing. A final total of 303 students with ages ranged between 12-16 years old participated in the research. The research findings suggested the final formulation of items of the emotional intelligence scale that can measure the levels of emotional intelligence of students along with a significantly positive relationship to academic achievement. There were statistically significant differences in the respondents' level of emotional intelligence according to the gender variable. In comparison, there were no statistically significant differences in the respondents' level of emotional intelligence according to the grade variable. Recommendations of the research were presented. Keywords: emotional intelligence, academic achievement, factor analysis, development and relationship

This study seeks to develop an effective observation tool to determine the prevalence of various academic learning difficulties among school students at the primary level in Sana'a City, Yemen. A measure comprising of 34 items has been processed by the EFA and CFA for contriving ALD's psychometric properties. The study sample comprised 714 students between 6 – 14 years of age. The study's findings revealed that the observation tool under development could measure the prevalence of various academic learning difficulties to a great extent with accuracy. The learning difficulties were classified under five categories based on observation scores. The observed raw scores were standardised after taking the standard deviation from the sample's mean value into consideration. The study's findings suggested that the gender and grade of the subjects affected academic learning difficulties significantly. A brief discussion of the educational implications of these findings has also been presented.

This study examines the influence of the COVID-19 crisis on academic expectations among international students from north-western China. According to past studies, academic expectations are multifaceted, making it critical to test the methods employed to assess this fundamental trait. The outbreak of COVID-19 has resulted in various significant changes in education, which have shifted from traditional to online or mixed formats. As a result, examining international students' academic expectations along with their interactions with adopted technologies is a topic that addresses the current situation and issues. A mixed approach, comprising two different instruments (questionnaire and interview), was followed to achieve this primary objective. While a survey with a questionnaire was undertaken with 551 international students, divided into two groups, ten students were interviewed during and after the lockdowns. The findings revealed that COVID-19 had a significant impact on the academic expectations of students as well as many elements such as training for employment, personal and social development, international student mobility, motivation, social pressure, and social interaction with the help of supporting technologies. In terms of gender, men outperformed women in motivation, social interaction, training for employment, and personal and social development factors. Similarly, as per the grade variable (undergraduate, postgraduate, doctoral), the same higher trend was seen in postgraduates. Based on these findings, a set of recommendations was put forward. In the future, technology will be helpful in China's educational sector, such as online group collaboration, open education, managing student retention, and supervising teachers' recruitment.