Students often have difficulties in self-regulating their vocabulary learning in mobile-assisted language learning (MALL). Building on past studies of vocabulary learning, MALL, self-regulation, and personalised learning (PL), we propose a self-regulated, collaborative, personalised vocabulary (SCPV) learning approach in MALL. In this exploratory…

In recent years, AI technologies have been developed to promote students' self-regulated learning (SRL) and proactive learning in digital learning environments. This paper discusses a comparative study between generative AI-based (SRLbot) and rule-based AI chatbots (Nemobot) in a 3-week science learning experience with 74 Secondary 4 students in…

Prior studies have reported positive outcomes of technology-enhanced vocabulary learning and recommended self-regulated learning (SRL) as a design principle for the relevant technologies. However, there has not hitherto been any comprehensive study of the combined use of SRL and specific vocabulary-learning strategies in technology-enhanced…

Background: Since the outbreak of COVID-19, universities in Hong Kong have implemented online and hybrid teaching modes, making computer-assisted language learning (CALL) a primary way for English learning. Research on English learning motivation and self-regulation has seldom considered learners' emotions (satisfaction and preparedness) and the…

This study examined the relations between achievement goals, self-regulated learning (SRL), and English learning achievement as well as the contributions of perceived teachers' and parents' goal emphases to students' achievement goal adoption. Participants were 520 4th graders in Hong Kong, who learn English as a second or foreign language…

As Artificial Intelligence (AI) advances technologically, it will inevitably bring many changes to classroom practices. However, research on AI in education reflects a weak connection to pedagogical perspectives or instructional approaches, particularly in K-12 education. AI technologies may benefit motivated and advanced students. Understanding…

During the pandemic, school and university students had to urgently move away from traditional classrooms to online learning in their homes. Student engagement that can be explained by self-determination theory (SDT) is important in online learning. Indeed, the founders of SDT recently stated that SDT-based future research should look closely at…

Although students who self-assess effectively often learn better, creating effective, low-cost interventions to help them do so is a critical challenge. This study examined the effects of a self-assessment diary intervention on 74 Form 1 (M[subscript age]=12.2 years) students' academic achievement, self-regulation, and motivation. After each…

This study was to examine the individual differences in primary school students' motivation (i.e. growth mindset, self-efficacy, and interest), self-regulated learning strategy use in English writing and the relationships between motivation, strategy use and English writing competence. Participants were 523 4th grade primary school students in…

The hypothesis in this study was that different types of multiple-goal learners would have different patterns of learning. A sample of 797 adult distance learners enrolled in different programs offered by a distance learning university in Hong Kong completed a questionnaire assessing their goals, use of strategies, motivational beliefs, and…

Education aims to enable students not only to acquire knowledge but also to become capable and enthusiastic lifelong learners. Prior research has found that learning is more likely to be effective where a student plays a proactive role in the learning process. Such a proactive process, including learning on students' own initiative and strategies,…