In the traditional teaching mode, it is difficult for teachers to have a comprehensive understanding of each student's study, and it is also hard for them to provide targeted guidance and assistance. With the development of data collection and analysis technology, schools and educational institutions can make better use of big data technology to…

Recent advances in genomics make it possible to predict individual differences in education from polygenic scores that are person-specific aggregates of inherited DNA differences. Here, we systematically reviewed and meta-analyzed the strength of these DNA-based predictions for educational attainment (e.g., years spent in full-time education) and…

Purpose: The study aims to propose a predictive model that combines personality and demographic factors to predict student academic performance (SAP). This research study works on understanding, enhancing and applying techniques to enhance the prediction of SAP. Design/methodology/approach: The authors gathered information from 305 university…

Learning programming is a complex process that requires understanding abstract concepts and solving problems efficiently. To support and motivate students, educators can use technology-enhanced learning (TEL) in the form of visual tools for knowledge mapping. Mytelemap, a prototype tool, uses TEL to organize and visualize information, enhancing…

Purpose: This study aims to provide a qualitative framework for satisfactory sustainable education for international accounting students using a meta-synthetic approach. Design/methodology/approach: To determine the components and indicators of satisfactory sustainable education for international accounting students, a meta-synthesis allows for…

College students have been identified as highly vulnerable to diverse mental health disorders affecting academic performance and quality of life. There was an even greater prevalence of mental health problems in college students' during and after the COVID-19 pandemic. This study examined the relationship among academic performance, depression,…

This study examined the relationship between academic self-concept, intrinsic motivation, and academic performance of Senior High School students. A quantitative approach using a descriptive cross-sectional survey design was used in the study. A multi-stage sampling technique was used to select 346 participants. The results showed that students…

As the enrollment cliff of 2025 looms closer, colleges and universities are compelled to explore alternative student populations to counteract the substantial decline in traditional-age college students. Transfer students emerge as a promising demographic to help sustain enrollment numbers and financial stability for colleges and universities.…

Self-regulated learning (SRL) and executive functions (EF) are broad concepts stemming from different research areas. They have been defined and modeled in various ways and are repeatedly related to each other in the literature, but so far, no systematic analyses of these relations have been published. Therefore, a systematic analysis of their…

The current research is the study of academic buoyancy in relation to emotional intelligence and parenting styles. Academic buoyancy is a strength in a student's life to deal with the routine problems in classroom study like low grades, negative feedback by teachers, and difficulties in understanding of concepts. For the studying the relationship…

Students involve themselves in learning activities multidimensionally, including behaviorally, cognitively, emotionally, and agentically. This multidimensional involvement predicts important outcomes, but it is also possible that each type of engagement might have its own specialized purpose or function. To investigate this possibility, we…

Background/purpose: Low attendance rates in undergraduate (UG) programs represent a critical issue for higher education institutions (HEIs), as they directly impact both individual and institutional success. This study investigates the influence of moderating variables such as age and gender on the effect of student absenteeism on mathematics…

Though documented extensively using self-report measures - especially in post-secondary course contexts - the relations among students' interest, engagement, and academic achievement in high school science courses has been studied far less - especially when considering online versions of these courses. Self-reported interest collected at the…

Research on online learning effectiveness has experienced a shift towards focusing on learner characteristics or differences. However, little attention has been paid to learners' personality traits, especially those that highly match with the environmental characteristics of online learning. Guided by recent active learning approach and Model of…

Technologies and teaching practices can provide a rich log data, which enables learning analytics (LA) to bring new insights into the learning process for ultimately enhancing student success. This type of data has been used to discover student online learning patterns, relationships between online learning behaviors and assessment performance.…