Background: In recent years, immersive virtual reality in education has garnered attention, however, there have been mixed findings on the efficacy of IVR in education. Thus, exploring which strategies are effective in transferring learning from IVR to real-world applications is imperative. Objective: This study aims to investigate the efficacy of…

This dissertation aimed to narrow the gap between learning and exercising leadership. It tried to address three main gaps in the field of leadership development assessment as its main research objectives: 1) the measurement gap which concerns the divergence between academic and industry perspectives on leadership development 2) the…

This study examined if the number of interruptions caused by interesting side notes in learning text is critical for the detrimental effect that is generally found when such seductive details are included, and consequently, if this effect can be mitigated by grouping these details together instead of interspersing them. Results confirmed that…

Human intelligence has the ability to capture abstract concepts from experience and utilize that learned knowledge for adaptation to new situations. Lifelong machine learning aims to achieve those same properties of human intelligence by designing algorithms to learn from a sequence of tasks, extract useful knowledge of previous tasks, and re-use…

Feedback drives creativity, yet how individuals benefit from it remains unclear. This study explored the cognitive and neural mechanisms through which interpersonal feedback promotes creativity. The fNIRS measured interpersonal neural synchronization (INS) during feedback, focusing on the prefrontal cortex and the right temporoparietal area.…

In this paper, we propose that an increasingly regarded theoretical framework in neuroscience--the predictive processing framework--can help to advance an understanding of the foundations of critical thinking as well as provide a mechanistic hypothesis for how education may increase a learner's subsequent use of critical thinking outside of an…

Generative drawing, or drawing-to-learn, has been studied as an effective learning strategy primarily used in science learning. However, drawing can be cognitively demanding, requiring instructional support to ensure good learning outcomes. The present meta-analysis encompassed 14 studies with 16 statistically independent comparisons between…

The ability to generalize previous knowledge to new contexts is a key aspect of human cognition and relational learning. A well-known learning maxim is that breadth of training predicts "breadth of training predicts breadth of transfer." When examples vary in their surface features, this provides evidence that only the common relational…

Nursing literature has reported episodes of nursing student anxiety in the simulated class. The students gave accounts of their experiences, difficulties learning, and performing nursing skills. The purpose of the qualitative descriptive study was to explore how nursing students describe the influence of anxiety on their skill performance and…

Training interventions for self-regulated learning foster the use of strategies and skills as well as their transfer to new learning tasks. Because cognitive strategies or motivation regulation strategies are task-specific, their transfer is limited. In contrast, metacognitive skills are task-general and transferable to a wide variety of learning…

Training of self-regulated learning is most effective if it supports learning strategies in combination with metacognitive regulation, and learners can transfer their acquired metacognitive regulation skills to different tasks that require the use of the same learning strategy (near transfer). However, whether learners can transfer metacognitive…

Background: Learning from video lectures with peers, that is, co-viewing video lectures, is a common mode of learning across a wide range of ages and topics in the information age. Objectives: The present study tested the effects of learners' motivation on co-viewing video lectures in terms of learning performance, mental effort, and interpersonal…

Two metacognitive knowledge types in deductive domains are procedural and conditional. This work presents a preliminary study on the impact of metacognitive knowledge and motivation on transfer across two Intelligent Tutoring Systems (ITSs), then two experiments on metacognitive knowledge instruction. Throughout this work, we trained students on a…

This research aims to examine the effect of semantic encoding strategy instruction on students' near and far transfer performances in e-learning environments. The research was performed by experimental design. Dependent variables of the research were near and far transfer performances. Independent variable was strategy instruction on encoding.…

Failure to learn and generalize abstract relational rules has critical implications for education. In this study, we aimed to determine which training conditions facilitate relational transfer in a relatively simple (patterning) discrimination versus a relatively complex (biconditional) discrimination. The amount of training participants received…