Existing research shows that people can improve their decision skills by learning what experts paid attention to when faced with the same problem. However, in domains like financial education, effective instruction requires frequent, personalized feedback given at the point of decision, which makes it time-consuming for experts to provide and…

With the advent of new data collection techniques, there has been a growing interest in studying co-located groups of students using Multimodal Learning Analytics to automatically identify collaborative learning states. In this paper, we analyze a multimodal dataset (N=84) made of eye-tracking, physiological and motion sensing data. We leverage…

We encounter variables with little variation often in educational data mining (EDM) due to the demographics of higher education and the questions we ask. Yet, little work has examined how to analyze such data. Therefore, we conducted a simulation study using logistic regression, penalized regression, and random forest. We systematically varied the…

One of the biggest challenges for EFL (English as Foreign Language) students to learn English is the lack of practicing environments. Although language researchers have attempted to conduct flipped classrooms to increase the practicing time in class, EFL students generally have difficulties interacting with peers and teachers in English in class.…

Drawing on historical epistemology and considerations on the function of scientific modelling, this article investigates how in the mid-twentieth century electronic and programmable animal models became tools for exploring the inaccessible ontology of the human mind. The article examines how machines have informed our understanding of the learning…

Education and training are among the fields taking advantage of serious games (SGs). In this article, we present Gea 2: A New Earth, a digital SG developed as an immersive 3-D virtual learning environment, integrating several educational resources, including multimedia learning material, communication tools, and intelligent tutoring support. The…

Owing to the rapid advancements in artificial intelligence (AI) technologies, there has been increasing concern about how to promote the use of AI technologies in school settings to enhance students' learning performance. Teachers' intention to adopt AI tools in their classes plays a crucial role in this regard. Therefore, it is important to…

Despite the rapid growth of digital learning, the relationship between the body and new information technologies has been underexamined in education research literature. This study presents a feminist conceptual framework in order to situate the body as an issue central to the academic discussion of online education. This paper extends feminist…

Purpose: The purpose of this study is to explore the perception of the users concerning the role of artificial intelligence (AI) in enhancing personal learning profile (PLP), personal learning network (PLN) and personal learning environment (PLE) and their effect on the perceived ease of use, perceived effectiveness and perceived usefulness for…

In contrast to simple feedback, which provides students with the correct answer, elaborated feedback provides an explanation of the correct answer with respect to the student's error. Elaborated feedback is thus a challenge for AI in education systems because it requires dynamic explanations, which traditionally require logical reasoning and…

In the age of the industrial revolution 4.0 the question arises as to how far digitization, which is taking place in all areas of life and work, can help meet the challenges of caring for patients or relieve the burden on nursing staff. In the health sector, including professional care, digitization is taking place at a rapid pace. In hospitals,…

Cybersecurity awareness training plays a vital role for organizations in guaranteeing resources' availability. Sufficient education regarding security awareness necessitates relating both the scope and importance of the training. This research determines the correlation between an employee's risk score and the effectiveness of AI-based security…

The purpose of this study was to explore faculty members' lived experiences with student resistance in a gateway STEM classroom. A comparative investigation was done of the case study population to evaluate differences in experiences in active learning classes that use LAs (LAF) and classes that use more passive methods without LAs (NLA). The…

The primary goal of this dissertation is to contribute to a predictive model of Spanish heritage grammars by applying recent advancements in machine learning to ferret out factors and covariates that give rise to the Spanish subjunctive. Given that "[p]redictive models would entail that we have a far better understanding of the various…

In response to the COVID-19 pandemic, school closures across the country have altered the way educators teach and provide services to students. Engaging technologies in learning environments have become the primary mechanism delivering curriculum and maintaining the intellectual wellbeing of students. With the accelerated expansion of technologies…