Background: Undergraduates' collective epistemic agency is critical for their productive collaborative inquiry and knowledge building (KB). However, fostering undergraduates' collective epistemic agency is challenging. Studies have demonstrated the potential of computer-supported collaborative inquiry approaches, such as KB--the focus of this…

This study examined the impact of a blended teaching approach versus traditional instruction on listening comprehension and strategy use among EFL students in a Taiwanese university. Using a quasi-experimental design, 103 low-intermediate students were divided into experimental (n=52) and control (n=51) groups over 18 weeks. The experimental group…

We investigated the benefits of two ways to use flashcards to perform retrieval practice: alone versus with a partner. In three experiments, undergraduate students learned word-definition pairs using flashcards alone (Individual condition) or with another student (Paired condition). Participants then made global judgments of learning (gJOLs;…

The growing use of generative AI (GenAI) has sparked discussions regarding integrating these tools into educational settings to enrich the learning experience of teachers and students. Self-regulated learning (SRL) research is pivotal in addressing this inquiry. One prevalent manifestation of GenAI is the large-language model (LLM) chatbot,…

Learning analytics dashboards (LADs) are often used to display real-time data indicating student learning trajectories and outcomes. Successful use of LADs requires teachers to orient their dashboard reviews with clear goals, apply appropriate strategies to interpret visualized information on LADs and monitor and evaluate their interpretations to…

Distinguishing easily confusable categories requires learners to detect their predictive differences. Interleaved sequences -- switching between categories -- help learners to detect such differences. Nonetheless, learners prefer to block -- switching within a category -- to detect commonalities. Across two 2 × 2-factorial experiments, we…

Two metacognitive knowledge types in deductive domains are procedural and conditional. This work presents a preliminary study on the impact of metacognitive knowledge and motivation on transfer across two Intelligent Tutoring Systems (ITSs), then two experiments on metacognitive knowledge instruction. Throughout this work, we trained students on a…

Scholars have suggested English classrooms with sufficient context and fun activities to increase English performance and promote learning motivation. With the rapid growth of technology-enhanced learning, virtual reality (VR) has become increasingly popular in English learning. Using VR without a well-designed learning environment, however, may…

The real-time and granularized learning information and recommendations available from adaptive learning technology can provide learners with feedback that is personalized. However, at an individual level, learners often experience technological and pedagogical conflicts. Learners have more freedom to accept, ignore or reject the feedback while…

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 purpose of this paper is to present an integrated theoretical model of socially shared regulation of learning (SSRL), which is an elaboration of Efklides' Motivation and Affect in Self-Regulated Learning model that situates metacognition, affect, and motivation at the socially shared level. Building from existing theoretical and empirical…

The current study investigates how second language (L2) learners' metacognition integrates practice strategies in self-regulated learning to develop speaking abilities. A Metacognitive Practice Speaking Strategy (MPSS) model was developed to explore specific configurations of metacognitive knowledge, metacognitive strategies, and practice…

Young learners' vocabulary learning needs interaction with language input when they are engaged in an activity. Given that AI-supported image recognition technologies offer hands-on learning in authentic contexts, and that self-regulated learning (SRL) enables learners to monitor and evaluate their learning when interacting with multi-sensory…

Self-regulated learning has been frequently investigated and reported to be effective for second language education, so increasingly more researchers and educators have been interested in cultivating self-regulated second language learners. To assist researchers and educators, it appears beneficial to review previous studies concerning the…

This review paper explores the role of individual differences in second language vocabulary learning, focusing on three key factors: out-of-class exposure (e.g., viewing TV, playing video games and listening to songs), strategic vocabulary learning, and motivation. Individual differences significantly impact vocabulary learning, making it crucial…