Reward-predictive items capture attention even when task-irrelevant. While value-driven attention typically generalizes to stimuli sharing critical reward-associated features (e.g., red), recent evidence suggests an alternative generalization mechanism based on feature relationships (e.g., redder). Here, we investigated whether relational coding…

One challenging issue in improving the teaching and learning methods in MOOCs is to construct potential knowledge graphs from massive learning resources. Therefore, this study proposes knowledge graphs driving online learning behaviour prediction and multi-learning task recommendation in MOOCs. Based on the knowledge graphs supported by…

The rapid expansion of e-learning has resulted in a surge in educational data volume, presenting challenges in manually uncovering valuable information. Concurrently, advancements in educational data mining offer robust technical support for forecasting student performance based on their engagement behaviors. In this study, we initially…

Digital traces have been used to measure self-regulated learning (SRL), yet the validity of inferences made about these traces has often been questioned. Recently, researchers have used multiple channels of data -- including digital traces, verbalizations, and self-reports -- to validate inferences about individual SRL events. Research on the…

This study aimed to investigate the trajectories of students' self-regulated learning in an online course and the predictive role of students' satisfaction with basic psychological needs (autonomy, competence, relatedness) on these trajectories. Additionally, the potential variation in the relationship between basic psychological needs and…

Early math experiences predict children's later math abilities and beliefs. However, less is known about longer-term associations between early childhood math experiences and adult math outcomes. The present study examined emerging adults' earliest memories of mathematics and reading experiences, asking whether characteristics of their early…

This study investigated the relationships between two vocabulary learning strategies (guessing from context and dictionary use) and two aspects of vocabulary knowledge (receptive and productive vocabulary knowledge). One hundred and thirty-five university students in Japan completed a vocabulary learning strategies survey, the Updated Vocabulary…

Researchers and practitioners from different disciplines (e.g., educational science, computer science, statistics) continuously enter the rapidly developing research field of learning analytics (LA) and bring along different perspectives and experiences in research design and methodology. Scientific communities share common problems, concepts,…

Knowledge tracing (KT) is a method to evaluate a student's knowledge state (KS) based on their historical problem-solving records by predicting the next answer's binary correctness. Although widely applied to closed-ended questions, it lacks a detailed option tracing (OT) method for assessing multiple-choice questions (MCQs). This paper introduces…

The key to successful language learning depends on the extent to which learners are self-regulated in learning a second or foreign language (L2). In this process, learners' perceptions and beliefs about their abilities play a crucial role in predicting or controlling positive or negative emotions, motivation and the use of strategies. Therefore,…

The emergence of online learning has sparked increased interest in predicting learners' academic performance to enhance teaching effectiveness and personalized learning. In this context, we propose a complex model APPMLT-CBT which aims to predict learners' performance in online learning settings. This systemic model integrates cognitive, social,…

This study aims to examine the construct validity of the English Language Resilience Scale (ELRS), explore how English learning resilience can be predicted through the six factors of resilience (i.e. planning, self-control, persistence and continuity in English learning, growth mindset, flexibility, and sociability), investigate how English…

Foreign language anxiety and enjoyment have been shown to correlate with each other (Botes et al., 2022), but few studies to date have considered whether distinct groups of learners within the one class may experience these variables differently. This article considers whether learners who have arrived in Australian university intermediate…

To address the emerging trend of language learning with Artificial Intelligence (AI), this study explored junior and senior high school students' behavioral intentions to use AI in second language (L2) learning, and the roles of related technological, social, and motivational factors. An eight-factor survey was constructed using a 5-point Likert…