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…

The present study was designed to understand and optimize self-assessment accuracy in cognitive skill acquisition through example-based learning. We focused on the initial problem-solving phase, which follows after studying worked examples. At the end of this phase, it is important that learners are aware whether they have already understood the…

Intelligent tutoring systems (ITSs) incorporate pedagogical agents (PAs) to scaffold learners' self-regulated learning (SRL) via prompts and feedback to promote learners' monitoring and regulation of their cognitive, affective, metacognitive and motivational processes to achieve their (sub)goals. This study examines PAs' effectiveness in…

Virtual Reality (VR) has gained popularity in educational fields enabling new learning possibilities. In the implementation process, VR could improve learning by increasing positive affective and cognitive processing, whereas VR also could hurt learning by increasing distraction and leading to poorer learning outcomes. Thus, understanding the…

Research has shown that gesture production supports learning across a number of tasks. It is unclear, however, whether gesture production during encoding can support narrative recall, who gesture production benefits most, and whether certain types of gestures are more beneficial than others. This study, therefore, investigated the effect of…

Procedural learning is key to optimal skill learning and is essential for functioning in everyday life. The findings of previous studies are contradictory regarding whether procedural learning can be modified by prioritizing speed or accuracy during learning. The conflicting results may be due to the fact that procedural learning is a multifaceted…

The brain must strike a balance between reliable information processing and adaptation to an ever-changing environment. At a gross anatomical level, the brain's wiring diagram is believed to be relatively set after development. Therefore, a fundamental question arises: how does stereotyped wiring lead to flexible dynamics, computation, and…

The main objective of this methodological article is to discuss the contribution of response times as a tool in education research. The use of response times in research is largely a legacy of the work carried out in cognitive psychology, which has made it possible to describe the cognitive processes involved in information processing. In…

Although the utilization of mobile technologies has recently emerged in various educational settings, limited research has focused on cognitive load detection in the pen-based learning process. This research conducted two experimental studies to investigate what and how multimodal data can be used to measure and classify learners' real-time…

Understanding student cognitive states is essential for assessing human learning. The deep neural networks (DNN)-inspired cognitive state prediction method improved prediction performance significantly; however, the lack of explainability with DNNs and the unitary scoring approach fail to reveal the factors influencing human learning. Identifying…

A substantial amount of literature has shown that the input flooding and enhancement (Textual enhancement, TE) technique helps learners to perceive and acquire target features implicitly. Previous studies explored the efficacy of computer-assisted TE interventions in Second Language Acquisition with diverse techniques, but animation has not yet…

This study examines the effect of a gamified information security education system (ISES) on developing users' information security awareness and protection behavioral intention. We developed a research model based on affordance theory and means-end chain theory. Using a scenario-based experimental survey approach, we obtained 220 valid samples…

The ability of the brain to extract patterns from the environment and predict future events, known as statistical learning, has been proposed to interact in a competitive manner with prefrontal lobe-related networks and their characteristic cognitive or executive functions. However, it remains unclear whether these cognitive functions also possess…

Metacognition plays an important role in the development of young children. Recent studies have found that metacognition and executive function are independent but closely related. In this study, 55 children aged 4-5 years were selected as subjects, and a short-term longitudinal design was used to analyze the relationships among metacognition,…

We studied collaborative skill acquisition in a dynamic setting with the game Co-op Space Fortress. While gaining expertise, the majority of subjects became increasingly consistent in the role they adopted without being able to communicate. Moreover, they acted in anticipation of the future task state. We constructed a collaborative skill…