Web-based inquiry learning provides opportunities for students to take responsibility to regulate their learning. However, due to a lack of science inquiry-specific self-regulated learning (SRL) frameworks, there is insufficient understanding of SRL processes in inquiry-based science learning. This study aims to explore students' SRL patterns by…

The paper describes a theoretical framework for the study of teachers' promotion of self-regulated learning in the classroom. The Self-Regulated Learning Teacher Promotion Framework (SRL-TPF) utilizes the ICAP theory to assess the affordances of the learning environment for the indirect promotion of SRL, proposes new variables in the investigation…

There is a lack of research on how game-based learning apps should be designed for engineering education. This paper addresses two research questions: What do engineering students expect from a learning app? Which educational approach and learning app design can meet these requirements? A survey revealed the particular demands of engineering…

The development of student metacognition has the potential to provide some of the greatest learning gains in science education, even outstripping the contribution of general intelligence. While models for metacognition are in broad agreement about their nature, they vary widely in essential elements and the relationships between them, especially…

Metacognition is an invaluable part of instruction of higher order thinking (HOT). The goal of this article is to review previous studies about teachers' knowledge and professional development (PD) in the area of metacognitive instruction in the context of teaching HOT. Part A of the article reviews 25 empirical studies assembled through a scoping…

This article describes a new questionnaire, the "Diagnostic Inventory for Self-Regulated Language Learning" (DISLL), for assessing self-regulated learning strategies of students of English as an additional language. We discuss self-regulated learning models, evaluate existing questionnaires for assessing language learners' self-regulated…

Learning trajectories are built upon progressions of mathematical understandings that are typical of the general population of students. As such, they are useful frameworks for exploring how understandings of diverse learners may be similar or different from their peers, which has implications for tailoring instruction. The purpose of this…

Self-regulated learning (SRL) is a critical component of mathematics problem solving. Students skilled in SRL are more likely to effectively set goals, search for information, and direct their attention and cognitive process so that they align their efforts with their objectives. An influential framework for SRL, the SMART model, proposes that…

With the onset of COVID-19, colleges and universities moved to emergency remote teaching, and instructors immediately adjusted their curricula. Many instructors adapted or developed new online lessons that they subsequently published as Open Educational Resources (OERs). While much has been examined related to how entire course designs evolved…

The authors describe a research-based conceptual framework of how students learn that can guide the design, implementation, and troubleshooting of teaching practice. The framework consists of nine interacting cognitive challenges that teachers need to address to enhance student learning. These challenges include student mental mindset,…

This study attempts to replicate Pawlak's (2018) Grammar Learning Strategy Inventory (GLSI). It explores the use of GLSI by Saudi students of English as a Foreign Language (EFL) in their college preparation year. The re-emergence of GLSI after a long period of neglect is a significant development in Language Learning Strategies. Consequently, due…

This paper aims to examine how self-regulated learning strategies (SRLS) can foster the enhancement of digital literacy in digital learning to increase efficiencies in human capital for sustainable development in lifelong learning. Digital disruption in the education sector is unavoidable. The results of this study will be useful for educators and…

Personalization is crucial for achieving smart learning environments in different lifelong learning contexts. There is a need to shift from one-size-fits-all systems to personalized learning environments that give control to the learners. Recently, learning analytics (LA) is opening up new opportunities for promoting personalization by providing…

Possessing the mathematical competence to encounter the challenges under globalisation and the ubiquity of digital technology is an important goal of education. Herein, we propose a broad conceptual framework for understanding and developing mathematical competence. The framework comprises four non-overlapping but interlinked cores:…

Background: Providing adaptive scaffolds to help learners develop effective self-regulated learning (SRL) behaviours has been an important goal for intelligent learning environments. Adaptive scaffolding is especially important in open-ended learning environments (OELE), where novice learners often face difficulties in completing their learning…