Uncover the latest and most impactful research in Human-Computer Studies. Explore pioneering discoveries, insightful ideas and new methods from leading researchers in the field.
Artificial Intelligence (AI) has disrupted assessment in higher education and accelerated an existing cycle of performativity. Institutional policies demand the demonstration of independent authorship in assessed work, yet AI models enable students...
Education typically brings together three primary stakeholders: the government, teachers, and students. These actors collectively form the foundation of a country’s educational system, each contributing in their way to the enhancement of education...
As a fundamental task in intelligent human-computer interaction, discourse text classification aims to identify user intent from the content of interactive conversations. Although traditional machine learning and standalone deep learning methods are...
Despite the proliferation of artificial intelligence (AI) literacy frameworks across educational contexts, substantial inconsistencies remain in how key constructs are defined and operationalized, leading to conceptual fragmentation. To address this...
Background Artificial intelligence chatbots (AICs) are increasingly being considered for use in scholarly peer review to assist with tasks such as identifying methodological issues, verifying references, and improving language clarity. However,...
As artificial intelligence (AI) becomes increasingly embedded in daily life, ascertaining whether an agent is human is critical. Here we systematically benchmark AI’s ability to imitate humans in three language tasks (image captioning, word...
Background Generative AI is now routine in student work, yet instruments measuring the risks attached to that use—over-reliance, misuse, and the reflective practices that guard against them—remain scarce in African higher education. This study...
In the context of digital transformation reshaping the higher education ecosystem, the integration of artificial intelligence (AI) into learning and research activities has emerged as a key driver for enhancing academic effectiveness. Although AI...
Human–robot collaboration (HRC) is increasingly adopted in smart manufacturing to combine human adaptability with robotic precision. Printed circuit board (PCB) assembly remains a challenging task because operators must identify visually similar...
Whether students develop dependency on generative artificial intelligence (AI) technologies largely depends on their attitudes toward using such tools. Existing studies have primarily explained the formation of AI dependency from the perspectives of...
Attention state recognition is important for improving the adaptiveness of intelligent language learning environments. Existing systems usually infer learners’ states from behavioral logs, such as response accuracy, task completion time, and page...
Large language models (LLMs) have demonstrated human-level performance in literature review screening phases and have been evaluated in systematic-review workflows. However, LLM performance in scoping reviews, which are broader and more...
As robotic technologies become more integrated into society, there is a growing demand for systems that are not only technically robust, but also socially accepted, safe, and designed for long-term use. Biologically-Inspired Design (BID),...
Conversational and generative artificial intelligence (AI) systems increasingly create and pass information between people. This can make it hard to see who created a claim, whether it was changed, and whom to trust. Many studies examine firsthand...
The rapid advancement of generative artificial intelligence is profoundly reshaping the paradigm of instructional design. However, the micro-level process patterns of human-AI collaboration in generative AI-enabled instructional design for...
Artificial intelligence (AI) is increasingly integrated into medical education, offering opportunities to enhance learning, research, and clinical preparation. Although previous studies have explored medical students’ attitudes and acceptance of AI,...
Human activity recognition (HAR) seeks to classify physical activities from motion signals acquired in everyday settings, often using machine learning models trained on sensor data from ubiquitous devices such as smartphones. Despite significant...
Artificial Intelligence (AI) and Learning Analytics (LA) are increasingly being adopted by higher education institutions (HEIs) to support student learning, institutional decision-making, and student success. However, most published evidence...
Journal
Focus: Cognition, Technology & Work focuses on the practical issues of human interaction with technology within the context of work and, in...
Journal
Behavior Research Methodspublishes articles concerned with the methods, techniques, and instrumentation of research in experimental psychology. The...
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