Background: Understanding algorithms is crucial for programming education, yet their abstract nature often challenges students. Algorithm visualisation (AV) has been proven effective in enhancing algorithmic thinking among university students. However, its efficacy for elementary school students and the optimal forms of AV tools remain unclear.…

Self-regulated learning (SRL) is a prerequisite for successful learning. However, studies have reported that many students struggle with self-regulation in online learning, indicating the need to provide students with additional support for SRL. This study adopted a design-based research methodology to iteratively design, implement, and evaluate…

This study aimed to identify and evaluate major processes college students engage in as they begin their active engagement in learning. Semi-structured interviews were conducted with 23 college students. Then, a grounded theory approach was used to identify the forethought processes students described. These processes included identifying goals,…

Recent academic motivation research has shifted towards understanding the situation-specific and process-sensitive nature of motivation. This shift has initiated discussions on methodological advancements to capture dynamic changes in motivation as they occur in authentic learning contexts. However, these studies have not been systematically…

Self-regulated learning (SRL) is an approach to learning which aims to improve learners' learning outcomes. In the SRL cycle, the quality of students' reflections is a critical factor in SRL performance that can improve learning outcomes. The feedback provided by teachers often has a significant impact on the quality of students' reflections.…

While decades of research from cognitive psychology provided insight into effective learning strategies for long-term learning, there is a discrepancy between what research recommends and what students do. We investigated first-year engineering students' knowledge and use of learning strategies, and how they experience and adapt to learning…

Against the backdrop of the deep integration of chatbots into education, this study, based on Self-Determination Theory (SDT) and the UTAUT model, constructed a model of factors influencing college students' self-directed learning ability in programming. Through a review of existing literature, six key determinants were identified: learning…

The research study explored online language learners' self-directed language learning (SDLL) experiences, benefits, motivations, and challenges when employing educational tools like Duolingo in an out of classroom context. To gain insights into SDLL, in-depth and semi-structured interviews with 10 Duolingo users were conducted. Study results…

Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…

Oral practice is challenging for foreign language education, and Corrective Feedback (CF) is often used to point out learners' pronunciation errors and to help them improve their oral skills in foreign language courses. CF is generally considered as a necessary condition for foreign language acquisition, and "reflection" and…

This research aims to measure students' learning independence levels in distance learning during the COVID-19 pandemic and identify factors that influence students' learning independence. The quantitative method was used to obtain data from 179 high school students in Indonesia to assess students' learning independence. In addition, this study…

While artificial intelligence in language learning has garnered extensive research attention, the specific roles of motivation and digital literacy (DL) in shaping students' self-regulated language learning within AI remain largely unexplored. Based on the theory of planned behaviour (TPB), this study endeavoured to understand how learning…

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…

Background/purpose: This study investigates the impact of online instruction on students' learning achievement and motivation in simplifying radical expressions in mathematics. With the increasing integration of technology in education, understanding its effectiveness compared to traditional modular learning is essential. The main purpose is to…

This book explores teaching methods that foster creative thinking among students across various disciplines. It presents effective experiments conducted in workshops with both practicing teachers and student teachers, aiming to modernize existing teaching approaches to better align with the needs of the 21st century. The central argument is that…