Cognitive Learning Analytics (CLA) is an interdisciplinary domain that combines cognitive science and learning analytics to interpret and enhance human learning through theoretically grounded data analysis. It integrates learning analytics with model...
A learner’s cognitive load is highly associated with their academic achievement within learning systems. Diagnostic information about a learner’s cognitive load is useful for achieving optimal learning, by enabling the learner to manage and control t...
Students of initial level programming courses generally face difficulties while learning the programming concepts. The learning analytics studies, in these courses, are mostly anecdotal on the aspect of assessment as less or no attention is given to...
The increasing adoption of video-based instruction and digital assessment in higher education has reshaped how students interact with learning materials. However, it also introduces cognitive and behavioral biases that challenge the accuracy of self-...
Reality (XR) technologies hold significant potential for transforming higher education by enabling immersive, embodied, and data-informed learning experiences within smart campus ecosystems. However, adoption remains uneven, as many implementations a...
Behavioural analytics remain a dominant approach for modelling learner engagement and predicting performance in digital learning environments. However, existing approaches are largely retrospective, relying on observable behavioural outcomes rather t...
The rapid expansion of artificial intelligence (AI) in digital education has transformed gamification from a motivational strategy into a data-driven, adaptive learning paradigm. This systematic review conceptualizes AI-supported gamification as an i...
Traditional lectures in veterinary anatomy often limit student engagement and higher-order thinking. The flipped classroom (FC) model shifts foundational content to independent study using interactive tools such as H5P® and Wooclap®, reservin...
One debatable issue in traffic safety research is that the cognitive load by secondary tasks reduces primary task performance, i.e., driving. In this paper, the study adopted a version of the n-back task as a cognitively loading secondary task on the...
Automated tracking of physical fitness has sparked a health revolution by allowing individuals to track their own physical activity and health in real time. This concept is beginning to be applied to tracking of cognitive load. It is well known that...
Trackers for activity and physical fitness have become ubiquitous. Although recent work has demonstrated significant relationships between mental effort and physiological data such as skin temperature, heart rate, and electrodermal activity, we have...
Federated Learning (FL) enables collaborative model training across decentralized organizations without direct data sharing, yet communicating raw gradient updates remains susceptible to reconstruction and membership inference attacks. Fully Homomorp...
Classroom behavior detection plays an important role in intelligent education by providing objective visual evidence for the analysis of learning engagement, classroom interaction assessment, and teaching evaluation. However, accurate behavior detect...
School is a space where learning mathematics should be accompanied by the student’s preferences; however, its valuation in the classroom is not necessarily the same. From a quantitative approach, we ask from the mathematical thinking styles (MTS) the...
We introduce the MERI (Market Evolutionary Resilience Index), a cognitive big data framework operationalising jamming transition physics into a daily operational regime detector (low-latency inference, 8 ms per observation). Opaque models cannot be d...
This study conducted a PRISMA-guided systematic review of 33 empirical studies examining learner interactions with AI-mediated feedback in L2 writing between 2010 and 2025. Evidence was synthesized from process-tracing methods, including keystroke lo...
Spatial qualities are central to architectural reasoning; yet, in studio-based education, they often remain implicit rather than structured as a shared analytical framework. This study examines how a multi-scalar taxonomy of spatial qualities can fun...
This study illuminates fundamental questions in behavioral science through advanced machine learning methodologies applied to large-scale public opinion data. Drawing on Kahneman and Tversky’s dual-process theory and Sunstein’s nudge arch...
Human-machine interfaces to control prosthetic devices still suffer from scarce dexterity and low reliability; for this reason, the community of assistive robotics is exploring novel solutions to the problem of myocontrol. In this work, we present ex...
With the exponential growth of educational data, increasing attention has been given to student learning supported by learning analytics dashboards. Related research has indicated that dashboards relying on descriptive analytics are deficient compare...
Lean manufacturing has historically focused on eliminating waste from physical production processes; however, increasing digitalization has shifted a substantial portion of operational effort toward information processing and decision making. Existin...
Affective and cognitive factors play significant roles in influencing students’ learning performance. However, limited studies exist that examine the latent interactions between these factors and students’ learning performance. This study...
In information systems research, the advantages of Customer Experience (CX) and its contribution to organizations are largely recognized. The CX analytics evaluate how customers perceive products, ranging from their functional usage to their cognitiv...
7 June 2022
Research on online collaborative learning has explored various methods of collaborative improvement. Recently, learning analytics have been increasingly adopted for ascertaining learners’ states and promoting collaborative performance. However,...
Airport digital transformation is commonly approached through technological integration and data-driven optimization, yet such perspectives provide limited insight into system-level reasoning and governance. This paper introduces the cognitive airpor...
The use of instruments for recording neurophysiological metrics is increasingly prevalent in natural settings, driven by advances in portability, reduced invasiveness, and the advantages these technologies offer for objective assessment of cognitive...
The study of learning analytics provides statistical analysis and extract insights from data, particularly in education. Various studies regarding student engagement in online learning have been conducted at tertiary institutions to verify its effect...
This article presents a model of an architecture of an artificial cognitive agent that performs the function of generating autoepistemic membership statements used to communicate beliefs about the belonging of an observed external object to a categor...
9 November 2022
This study aims to examine and compare the mechanisms through which social learning processes influence the knowledge contribution behavior of lurkers and contributors in open innovation communities (OICs). Based on social learning theory and stimulu...
Background: Cognitive decline is an escalating public health challenge with global population aging. Understanding the association between hobby engagement and cognitive function is crucial for developing effective interventions. Methods: Utilizing d...
The paper reviews existing models for organizing information for machine learning systems in heterogeneous computing environments. In this context, we focus on structured knowledge representations as they have played a key role in enabling machine le...
Vygotsky’s theory emphasizes the importance of the sociocultural environment for cognitive development, highlighting the importance of social interaction, cultural tools, and the Zone of Proximal Development. This paper explores these concepts...
Attention and brain focus are essential in human activities that require learning. In higher education, a popular means of acquiring knowledge and information is through serious games. The need for integrating digital learning tools, including seriou...
Cognitive load is a key factor influencing student success. As physics plays a significant role in developing critical thinking, it is important to identify the most effective approach for achieving the highest student performance, specifically the l...
The implementation of an artificial intelligence (AI)-based system for monitoring, forecasting, and learner performance support has been intensified by the rapid expansion of online education systems. Existing online educational platforms completely...
Simulation platforms are often evaluated as isolated teaching tools, although classroom outcomes reflect coordinated technical and instructional elements. This study evaluated a research-team-developed CARLA–SUMO platform as part of a bounded s...
Educational virtual worlds and metaverse environments are increasingly utilized to foster immersive and experiential learning in higher education. However, their instructional efficacy depends not only on visual fidelity and presence, but fundamental...
Despite the increasing adoption of desktop virtual reality (VR) in higher education, the specific instructional efficacy of 3D interactive prompts remains inadequately understood. This study examines how such prompts—specifically dynamic spatia...
The rapid digitalization of higher education has intensified the need for reliable methods to assess higher-order cognitive skills, particularly critical thinking, in adaptive learning environments. However, most existing assessment approaches rely p...
Education for Sustainable Development (ESD) increasingly relies on e-learning environments to deliver scalable, flexible, and accessible educational experiences. While existing research has extensively examined the role of digital technologies in fac...
Alzheimer’s disease (AD) is the most common cause of dementia, affecting 55 million people worldwide. Its characteristics include the accumulation of senile plaques and neurofibrillary tangles. This disease is associated with changes in the con...
Assessment practices in Romanian primary education remain largely recall-based, despite curriculum expectations that prioritize reasoning, metacognition, and inclusive learning processes. This conceptual–analytical study examines the structural...
Down syndrome (DS) is the most identified genetic form of disability. Individuals with DS have cognitive and linguistic impairments that vary from severe to mild, although they may show strengths in imitation, social learning, and the use of body lan...
Brain–Computer Interfaces (BCIs) have increasingly been explored as tools for monitoring and modulating cognitive processes relevant to learning. However, their application to learning disorders, and especially to mathematical learning difficul...
This paper examines how historic wooden-built environments and open-air museums can function as pedagogical settings for craft education. Drawing on teaching experiences from higher education in Norway, it analyses how students develop knowledge thro...
This integrative literature review examines how generative artificial intelligence is shaping human thinking, cognitive processes and writing practices, with a focus on education across schools, universities, adult learning and professional settings....
This study examines the development and pedagogical impact of an AI-based pedagogical agent designed for modern e-learning environments. The research addresses a key challenge in digital education: the lack of personalization and immediate feedback i...
This paper seeks to establish a framework which operationalizes cognitive traits as a portion of the predefined mastery level, the highest level expected to successfully perform all of the relevant tasks of the target trait. This perspective allows u...
Artificial intelligence (AI) has become central to the evolution of learning analytics (LA), transforming how higher-education institutions capture and interpret student engagement data. This narrative review synthesises research published between 20...
This systematic review explores the integration of machine learning (ML) with augmented reality (AR) and virtual reality (VR) technologies in cognitive therapies for mental health disorders. Analyzing 141 studies following PRISMA guidelines, the find...
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