The Self-Determination Theory argues that individuals are optimally motivated when their three Basic Psychological Needs (BPNs) are satisfied, which can be influenced by the learning environment created by the teachers. Student-centered frameworks are permeating worldwide. Thus, the study aimed to evaluate the effects of pedagogical models-based…

The Next Generation Science Standards (NGSS) delineate three interrelated dimensions that describe what students should know and how they should engage in science learning. These present significant challenges for assessment because traditional assessments may not be able to capture the ways in which students engage with content. Science…

With the emergence of technology, the personalization of e-learning systems is enhanced. These systems use a set of parameters for personalizing courses. However, in literature, these parameters are not based on classification and optimization algorithms to implement them in the cloud. Cloud computing is a new model of computing where standard and…

The Community of Inquiry framework is a collaborative-constructivist process model that describes the essential elements of a successful online higher education learning experience. This history column entry briefly describes the 20 years of progress in the framework. The column is divided into two decades, first, explaining the establishment of…

The aim of this study is to identify different learning styles in university students in the frame of university teaching carried out through innovative proposals for work and research projects, with inverted classroom dynamics (active and cooperative) and adopting a formative assessment that focuses on both the process and the students' outcomes.…

Kolb's experiential learning cycle is perhaps the most scholarly influential and cited model regarding experiential learning theory. However, a key issue in interpreting Kolb's model concerns a lack of clarity regarding what constitutes a "concrete experience," exactly. A systematic literature review was conducted in order to examine:…

Constructivism represents a heterogeneous body of theoretical approaches across different disciplines for these alliances, as well as, attracting and antagonizing vast audiences within these disciplines, including psychology and education. A major influence on the rise of constructivism has been the theory and research in human development.…

This aim of this study is to determine the effect of the TPR method on students' vocabulary learning and the factors affecting the effectiveness of this method by combining the findings obtained from both qualitative and quantitative studies. For this purpose, a primary study with 13 quantitative and 7 qualitative findings was included in this…

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…

The goal of learning analytics is to optimize learning and the environments in which it occurs. Since 2011, when learning analytics was defined as a separate and distinct area of academic inquiry, the literature has identified a need for research that presents evidence of effective learning analytics, as well as, learning analytics research that…

Environmentally friendly occasions allow foreign language learners to further concentrate on realizing their extensive knowledge of the English language. Exercises and activities performed in foreign language classes have been criticized for a lack of authenticity, which prevents language learners from learning the real-life usage of language. In…

Predictive modeling in online education is a popular topic in learning analytics research and practice. This study proposes a novel predictive modeling method to improve model transferability over time within the same course and across different courses. The research gaps addressed are limited evidence showing whether a predictive model built on…

This paper is basic research focused on the analysis of scientific advances related to Smart Learning Environments (SLE). Our main objective is to single out the common aspects to propose a new definition which will constitute the starting point to design an innovative model which we can apply to the analysis of real cases and good practices. For…

With the emergence of COVID-19 worldwide, interest in blended learning in higher education is rapidly increasing. Despite the fact that the unipolar view that satisfaction and dissatisfaction are measured separately has been emphasized in higher education, fewer efforts have been made in a blended learning context. Therefore, this study attempts…

With the wide expansion of distributed learning environments the way we learn became more diverse than ever. This poses an opportunity to incorporate different data sources of learning traces that can offer broader insights into learner behavior and the intricacies of the learning process. We argue that combining analytics across different…