Despite the significance of grit and motivational regulation strategies (MRS) to language learning, limited research has been conducted on their longitudinal interplay. The present study explores the relationship between these two constructs in an English as a second language (L2) learning context through a longitudinal design. This study utilizes…

To prevent students from learning risks and improve teachers' teaching quality, it is of great significance to provide accurate early warning of learning performance to students by analyzing their interactions through an e-learning system. In existing research, the correlations between learning risks and students' changing cognitive abilities or…

Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…

Competence with rational numbers is essential for mathematics proficiency in secondary mathematics. However, many students struggle with rational number concepts, and students with mathematics difficulties struggle even more. The purpose of this study was to examine the effects of an intervention that incorporated the use of explicit instruction…

Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…

The discrepancy between students' understanding of domain knowledge and their actual competencies to use tacit knowledge for a given task has been an issue to consider when instruction is designed, implemented, and revised. In this study, the researcher examines teaching and learning processes in which a Problem-Based Learning (PBL) design model…

Emotions can influence online teaching and learning, according to existing studies. PERMA theory enjoys great fame in both positive psychology field and English foreign language context since it was proposed by Seligman, which includes five domains, namely positive emotions, engagement, relationship, meaning, and achievement. Although there is a…

As educators, our goal is to help our students be successful, but in order to accomplish this, we need to understand what factors contribute to student success. One factor, small-group active learning, has been correlated to improved academic outcomes; however, the magnitude of this improvement can vary across different courses, different types of…

Learning analytics (LA), like much of machine learning, assumes the training and test datasets come from the same distribution. Therefore, LA models built on past observations are (implicitly) expected to work well for future observations. However, this assumption does not always hold in practice because the dataset may drift. Recently,…

The socio-educational model suggests that social milieu influences individual characteristics, which in turn affect engagement in learning contexts, ultimately impacting linguistic and non-linguistic outcomes. Operationalized representations of the model tend to focus on relations among integrativeness, attitudes to the learning situation,…

While language aptitude and motivation are considered to be important contributors to second language (L2) attainment, two major gaps in the past research have been (1) a lack of nonlinear models stemming from a naive and tacit assumption that learning outcomes are linearly related to their predictors, and (2) a lack of unified and integrative…

This study aimed to examine the relationship between student engagement and student retention of adult learners at community colleges. The relationship between student retention and the five Community College Survey of Student Engagement (CCSSE) student engagement benchmarks (active and collaborative learning, student effort, academic challenge,…

Higher education institutions have consistently strived to provide students with top-notch education. To achieve better outcomes, machine learning (ML) algorithms greatly simplify the prediction process. ML can be utilized by academicians to obtain insight into student data and mine data for forecasting the performance. In this paper, the authors…

Background: There seems to be a need to rethink education and shape the future to build more equitable societies. In line with this idea, Service-Learning (SL) has emerged as an educational approach to integrate curricular learning and the provision of a community service. Unfortunately, many SL implementations in Physical Education lack a…

Computer-mediated learning initiatives have recently increased due to the novel coronavirus pandemic. Implications are thus created for self-regulation, learning and achievement as computer-mediated learners face unique motivational and metacognitive demands. The current research uses a serial mediation approach to test the effect of goal…