Immersive technologies are assumed to have many benefits for learning due to their potential positive impact on optimizing learners' cognitive load and fostering intrinsic motivation. However, despite promising results, the findings regarding the actual impact on learning remain inconclusive, raising questions about the determinants of efficacy.…

Introduction: The Challenge and Hindrance Stress Framework is an influential theoretical model for measuring individuals' perceptions of stress. However, its structure has not been validated among Chinese adolescents, and the effects of different forms of stress on their short-term and long-term outcomes remain unclear. Methods: Study 1 validated…

Feedback significantly impacts learning outcomes, yet interindividual differences in feedback preferences remain understudied. We postulate and test a fitting feedback framework assuming that feedback framings matching personal preferences produce positive effects. We conducted two learning experiments including feedback representing different…

Forum discussions in Massive Open Online Courses (MOOCs) play a crucial role in promoting learning engagement and academic achievement. In particular, discussion topics significantly influence learners' emotional and cognitive engagement. However, the complex interrelationships among these factors remain underexplored. This study introduces an…

In terms of instructional sequencing and cognitive load research, it remains unclear what effect different instructional sequences have on cognitive load and how to use problem-solving support within instructional sequences to reduce cognitive load. The current study examines how instructional sequencing and problem-solving support interact with…

Teachers' data literacy and interpretive process are critical to understanding how they make sense of data. However, little is known about how mental representations shape and evolve in response to teachers' interpretive process. In the present study, I model and explore this recursive relationship between teachers' cognitive framing and…

Debugging is essential for identifying and rectifying errors in programming, yet time constraints and students' trivialization of errors often hinder progress. This study examines differences in debugging challenges and strategies among students with varying computational thinking (CT) competencies using weekly coding journals from an online…

Background: Previous research has demonstrated that quizzing can improve self-regulation processes and learning performances. However, it remains unclear whether quizzes in multimedia material bring similar benefits, and whether interindividual differences such as working memory capacity (WMC) modulate quizzing effects. Aims: This study aimed to…

In this paper, we adopted an information-processing perspective to examine the relationship between cognitive engagement and students' performance in a simulation-based training environment. In particular, we examined what forms of cognitive engagement students used while diagnosing virtual patients and whether engagement forms predicted students'…

Previous studies indicated that when encountering academic difficulties, students with fixed intelligence mindset, experience higher levels of negative emotions and they also report significant drops in their self-esteem. Thus, the present study proposed to test whether priming students with unconditional self-acceptance (USA), reduces…

In the context of instructional design and self-regulated learning research, the notion of mental effort allocation, monitoring, and control has gained increasing attention. Bringing together a cognitive perspective, focusing on Cognitive Load Theory, and a motivational perspective, merging central accounts from Situated Expectancy Value Theory…

Background: This study breaks new ground by presenting a new, more sophisticated model of learning engagement that goes beyond the current state of the art embodied in the widely used Affective-Behavioral-Cognitive (ABC) model. This work synthesizes and builds upon neglected lines of research in the structure of affective engagement. It also…

To help young students succeed in problem-based learning (PBL), researchers suggested investigating students' need for cognition (NFC), one's inclination to exert mental effort during learning. How one puts mental effort into a learning task is related to motivation. If motivated, students are more likely to engage in challenging tasks, put in…

Explicit instruction is a teaching strategy that aims to avoid cognitive overload experienced by students which aims to improve academic performance. Previous research has mentioned working memory as a cognitive capacity that processes information and cognitive control and supports the success of explicit teaching on student academic performance.…

Student performance is affected by their knowledge which changes dynamically over time. Therefore, employing recurrent neural networks (RNN), which are known to be very good in dynamic time series prediction, can be a suitable approach for student performance prediction. We propose such a neural network architecture containing two modules: (i) a…