Learning analysis provides a new opportunity for the development of online education, and has received extensive attention from scholars at home and abroad. How to use data and models to predict learners’ academic success or failure and give te...
Blended learning is a growing phenomenon in higher education after the COVID-19 pandemic (the educational process moved entirely online), and the way is prepared for blended education mode in universities. Although blended learning research is on the...
With the popularity of online education, multiple technology-based educational tools are gradually being introduced into online learning. The role of gamification in online education has been of interest to researchers. Based on learners’ visua...
Over the past few years, the growing popularity of online education has enabled there to be a large amount of students’ learning behavior data stored, which brings great opportunities and challenges to the field of educational data mining. Stud...
The rapid integration of Generative Artificial Intelligence (GenAI) technologies into educational environments has generated new opportunities for developing intelligent systems capable of monitoring learner interactions, modeling learning behaviors,...
Information and communication technology considerably impacts students’ engagement with self-regulated learning (SRL) methodologies. However, there has been a lack of any comprehensive visualization of the SRL process, making it difficult to in...
In this empirical study, we address the relationship between the dimensions of learning in higher education (i.e., student engagement, approaches to learning, and satisfaction with learning) and sustainability (i.e., austerity altruistic, pro-ecologi...
Self-regulated learning is one of the important skills to achieve learning goals and is also the key factor to ensure the quality of online learning. With the rapid development of intelligent education and information technology, online learning beha...
Policy learning enables agents to learn how to map states to actions, thus enabling adaptive and flexible behavioral generation in complex environments. Policy learning methods are fundamental to reinforcement learning techniques. However, as problem...
Autonomous learning behavior is an important skill for students, but they often do not master it sufficiently. We investigated the potential of nudging as a teaching strategy in tertiary education to support three important autonomous learning behavi...
Companies aim to offer customized treatments, intelligent care, and a seamless experience to their customers. Interactions between a company and its customers largely depend on the company’s ability to learn, understand, and predict customer be...
With a focus on enhancing national scientific and technological competitiveness and cultivating innovative talents, STEM education has achieved remarkable results in developing students’ core quality and improving academic achievement. Online c...
Preschool age is a golden period for the emergence of executive functions (EFs) that, in turn, predict learning and adaptive behavior throughout all life. The study was aimed to identify which EFs measures significantly explained the learning prerequ...
This article presents a macroscopic swarm foraging behavior obtained using deep reinforcement learning. The selected behavior is a complex task in which a group of simple agents must be directed towards an object to move it to a target position witho...
Prosocial behavior consists of a set of behaviors that are beneficial to others in the form of sharing and helping. It includes aspects such as solidarity and friendship, and it fosters development and positive psychological functioning; it also impr...
Passenger behavior prediction aims to track passenger travel patterns through historical boarding and alighting data, enabling the analysis of urban station passenger flow and timely risk management. This is crucial for smart city development and pub...
With the rapid development in online education and the recurrence of COVID-19 around the world, people have temporarily turned to online education. To identify influencing factors of online learning behavior and improve online education, this study u...
2 February 2021
The purpose of this study was to determine the influence of perceived helicopter parenting, critical thinking disposition, cognitive ability, and learning motivation on learning behavior in nursing students in South Korea. The participants in this st...
In this work, we address a multi-class classification task of oyster vessel behaviors determination by classifying them into four different classes: fishing, traveling, poling (exploring) and docked (anchored). The main purpose of this work is to aut...
With the popularization and application of Building Information Modeling (BIM), the demand for BIM technical talents in the construction industry is increasing. Exploring college students’ BIM technical learning behavior is of great practical s...
The rapid proliferation of generative artificial intelligence (GenAI) has reshaped university students’ learning practices, yet the association between GenAI-assisted learning and procrastination remains insufficiently understood. Drawing on th...
The COVID-19 outbreak is an international problem and has affected people and students all over the world. When lockdowns were imposed internationally, learning management systems began to be used more than in the previous period. These systems have...
Abusive supervision was traditionally viewed as a unidimensional construct and found detrimental in various fields, while there may be subdimensions associating with different consequences. This study aims to justify two subdimensions of abusive supe...
Next-point-of-interest (POI) recommendation is a crucial part of location-based social applications. Existing works have attempted to learn behavior representation through a sequence model combined with spatial-temporal-interval context. However, the...
Understanding user behavior on the web is considered essential for personalization, recommendation, and anomaly detection. Centralized analytics approaches raise significant privacy risks and regulatory concerns, particularly when large volumes of in...
The aim of this study was to describe and interpret the subjective theories that support the development, teaching, and learning of prosocial behavior in a Pentecostal Methodist church located in the Atacama Region (Chile). The study was descriptive-...
For bulk commodity, stock, and e-commerce platforms, it is necessary to detect anomalous behavior for the security of users and platforms. Anomaly-detection methods currently used on these platforms train a model for each user since different users h...
Human behavior is stimulated by the outside world, and the emotional response caused by it is a subjective response expressed by the body. Humans generally behave in common ways, such as lying, sitting, standing, walking, and running. In real life of...
Artificial intelligence (AI) is reshaping the world of work, creating new opportunities for employee development while increasing the importance of digital competencies and psychosocial resources that support adaptation to technological change. Drawi...
A robust and scientifically grounded teaching evaluation system holds significant importance in modern education, serving as a crucial metric that reflects the quality of classroom instruction. However, current methodologies within smart classroom en...
Unethical behavior is discovered that is more contagious than ethical behavior. This article attempts to propose one of the possible underlying mechanisms—people may have underconfidence bias in information updating due to motivated reasoning,...
AI learning tools are now common enough in secondary education that students are expected to know how to use them, yet we still know relatively little about what drives their use among high school students. This study applied an extended theory of pl...
Parental participation has an important and direct influence on the effect of home-based online learning of primary school students. Taking more than 500 guardians of primary school students in a number of prefecture-level cities in the Pearl River D...
Most existing driver behavior classification technologies have focused on highways and other primary road infrastructures, despite secondary roads accounting for a disproportionately large number of traffic fatalities worldwide. Compared with highway...
As the business environment is rapidly changing, interest in the innovation of organizational members is accelerating. Therefore, this study investigated how individual-level resources, particularly self-leadership, affect workers’ innovative b...
Detecting abnormal human behaviors in surveillance videos is crucial for various domains, including security and public safety. Many successful detection techniques based on deep learning models have been introduced. However, the scarcity of labeled...
The manual categorization of behavior from sensory observation data to facilitate further analyses is a very expensive process. To overcome the inherent subjectivity of this process, typically, multiple domain experts are involved, resulting in incre...
Physical exercise is crucial to the development of students’ physical and mental health. This study explored the relationship between live sports learning and college students’ exercise behaviors, and the mediating roles of exercise motiv...
In response to the rising frequency of traffic accidents and growing concerns regarding driving safety, the identification and analysis of dangerous driving behaviors have emerged as critical components in enhancing road safety. In this paper, the re...
Aggressive driving behavior (ADB) is one of the main causes of traffic accidents. The accurate recognition of ADB is the premise to timely and effectively conduct warning or intervention to the driver. There are some disadvantages, such as high miss...
Corporations are increasingly looking beyond inter-company collaborations to multidimensional collaborative activities between departments and organizational members within the company to strengthen innovative market competitiveness. High-tech corpor...
This paper solves the complex scientific and practical problem of developing the critical thinking skills of the modern student. The solution of the indicated problem was accomplished by generalizing contemporary scientific works and conducting an em...
Childhood is a period of brain growth and maturation. The long chain omega-3 fatty acid, docosahexaenoic acid (DHA), is a major lipid in the brain recognized as essential for normal brain function. In animals, low brain DHA results in impaired learni...
In the realm of Industry 5.0, the incorporation of Artificial Intelligence (AI) in overseeing workers, machinery, and industrial systems is essential for fostering a human-centric, sustainable, and resilient industry. Despite technological advancemen...
Smart home technology enhances the quality of life, particularly with respect to in-home care and health monitoring. While video-based methods provide accurate behavior analysis, privacy concerns drive interest in non-visual alternatives. This study...
The presynaptic protein Mover/TPRGL/SVAP30 is absent in Drosophila and C. elegans and differentially expressed in synapses in the rodent brain, suggesting that it confers specific functions to subtypes of presynaptic terminals. In order to investigat...
Attack investigation is an important research field in forensics analysis. Many existing supervised attack investigation methods rely on well-labeled data for effective training. While the unsupervised approach based on BERT can mitigate the issues,...
Large lifting equipment is used regularly in the maintenance operations of chemical plant installations, where safety controls must be carried out to ensure the safety of lifting operations. This paper presents a convolutional neural network (CNN) me...
Background: Cultivating medical students’ innovative behavior is crucial for talent development in medical education. However, the factors associated with medical students’ innovative behavior are still unclear. The aim was to examine fac...
Different sets of drivers underlie different safety behaviors, and uncovering such complex patterns helps formulate targeted measures to cultivate safety behaviors. Machine learning can explore such complex patterns among safety behavioral data. This...
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