This research examines the impact of online help-seeking strategies--both adaptive and peer-based--on promoting self-regulated and collaborative learning skills, as well as language learning outcomes, among Chinese EFL learners in computer-assisted language learning (CALL) environments. Employing a mixed-methods approach, the study triangulates…

A learner can autonomously acquire knowledge by experiencing the world, without necessarily being explicitly taught. The contents and ways of this type of real-world learning are grounded on his/her surroundings and are self-determined by computing real-world information. However, conventional studies have not modeled, observed, or understood a…

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;…

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…

As generative AI tools are increasingly popular in today's teaching and learning process, challenges and opportunities occur at the same time. Self-directed learning has been regarded as a powerful learning ability that supports learners in informal learning contexts and its importance rises in salience when incorporating AI into learning. This…

Self-regulated learning (SRL) is critical in online learning, and profiling learners' SRL patterns is needed to provide personalized support. However, little research has examined how each learner performs the cyclical phases of SRL based on trace data. To fill the gap, this study attempts to derive SRL profiles encompassing all cyclical phases of…

Deep learning techniques are being unified for decision support in various applications. However, it remains challenging to train robust deep learning models, due to the inherent insufficient labeled data that is usually time-consuming and labor-intensive. Self-supervised learning is a feature representation learning paradigm to learn robust…

This study examined how peer assessment and self-assessment influence higher education students' use of three modes of regulation of learning (self-regulation, co-regulation, and socially shared regulation) in an online collaborative task during the COVID-19 epidemic. Twenty-one first-year undergraduate students were assigned to one of three…

This study uses Panadero et al.'s (2021) Deep Learning Strategies Questionnaire to discover EFL learners' strategies from a new perspective. The questionnaire is a newly designed self-report instrument with ground-breaking features constructed with validity and reliability to measure students' actual strategies in real situations. The current…

This research aims to analyze the relations from motivation to self-regulatory strategy on academic achievement in high school among academically higher-achieving students. Methods in autoregressive cross-lagged modeling by Mplus8.5 are used to evaluate 309 high school students with higher achievement in language or mathematics from the Korean…

Online courses are particularly attractive in continuing education because they offer a high degree of autonomy and flexibility, although this requires learners to take greater responsibility for self-regulating their learning. That can be challenging for adult learners as they need to handle other obligations in addition to learning. Thus,…

Purpose: This study aims to investigate a unique approach to learning languages through self-directed online learning. Specifically, it explores the self-management abilities and skills learners need while learning a language outside traditional classroom settings when using mobile-assisted learning technology. Design/methodology/approach: A…

This study presents a panoramic overview of research conducted between 2010 and 2020 on how the Personal Learning Environment (PLE) supports Self-Regulated Learning (SRL). We elaborate on why the PLE is suitable for SRL, discuss its research themes, explain how the PLE supports SRL and outline the available PLE platforms. The review method we used…

Effective learning design (LD) grounded in sound pedagogy is a critical driver of student success. Therefore, it is important to explore how LD of online learning environments influences student ability to manage their own learning. This understanding can inform the development of online programs that prioritize student-driven learning. Research…

This study explored two new pedagogical conceptions--project-based learning (PBL) and self-regulated learning (SRL), to enhance effective English teaching and learning in Macao, and to prepare EFL learners for life-long learning. PBL makes English instruction engaging and SRL empowers learners to take ownership of their learning process. The…