Results 121 to 130 of about 2,237 (214)
ReMoDe – Recursive modality detection in distributions of ordinal data
Abstract The detection of the number of modes in distributions of ordinal data is relevant for applied researchers across disciplines, from uncovering polarization to detecting incidence groups in clinical symptom scales. Yet, established modality detection methods are either purely descriptive or not developed for ordinal data.
Madlen Hoffstadt +3 more
wiley +1 more source
Advances in 4D Representation: Geometry, Motion, and Interaction
We survey 4D representation through three key pillars — geometry, motion, and interaction — offering a selective, representation‐centric perspective to guide researchers in choosing and customizing the right 4D representation for their tasks. Abstract We present a survey on 4D generation and reconstruction, a fast‐evolving subfield of computer graphics
M. Zhao +7 more
wiley +1 more source
Abstract The arrival of generative artificial intelligence (GenAI) in educational settings has sparked debate over how it will transform teaching and learning. Language education is already grappling with teacher shortages, workload intensification, and shifting program viability.
Jue Wang +3 more
wiley +1 more source
ABSTRACT Background Computer vision methods based on artificial intelligence (AI) have found numerous applications in endodontic diagnosis and treatment planning. While most current applications employ discriminative deep learning models for detection and classification tasks, the field is now witnessing the rise of generative AI (GenAI), a class of AI
Hossein Mohammad‐Rahimi +6 more
wiley +1 more source
A Systematic Scoping Review of Self‐Regulated Learning With AI in Language Education
ABSTRACT The rapid development of artificial intelligence (AI) technology has brought new opportunities for second/foreign language (L2) education while also raising concerns about the use of AI tools. This systematic scoping review provides a snapshot of the current state of research situated at the intersection of self‐regulated learning (SRL) and AI
Zheng Zhang, Sihan Zhou, Barry Bai
wiley +1 more source
ABSTRACT Although the use of AI technologies (e.g., chatbots and automated writing evaluations (AWE)) has gained considerable attention in language learning fields in recent years, how AI technologies have been designed and implemented in language learning education, as well as their effectiveness, is understudied.
Shen Qiao +2 more
wiley +1 more source
ABSTRACT Second or foreign language (L2) speaking is a key aspect of L2 competence. While GenAI shows potential to address challenges in L2 speaking development, its role remains insufficiently understood. Self‐Determination Theory (SDT) could explain student language learning engagement. Therefore, this systematic review examines how GenAI affordances
Yanyan Catherine Lin +3 more
wiley +1 more source
Penggunaan Generative Artificial Intelegence (GenAI) dalam pembelajaran dapat mempermudah sekaligus menghadirkan tantangan terhadap perubahan budaya belajar di Perguruan Tinggi.
Hilda Syahrani +4 more
doaj
Learning Styles, Engagement and Anxiety in AI‐Mediated Writing: A Multimodal Feedback Study
ABSTRACT Artificial intelligence (AI) tools now permeate English academic writing. However, evidence on how feedback modalities align with student differences and with psychological mechanisms remains limited. Prior work often reduced learning styles to simple matches with delivery modes and treated learning engagement and writing anxiety as peripheral.
Yi Ren +3 more
wiley +1 more source
ABSTRACT This study examines how self‐efficacy, self‐regulation, and generative artificial intelligence (GenAI) ‐related factors interact to shape academic success and general English proficiency (GEP) within an EMI context. It draws on data from 754 EMI students at a major public university in Turkey, focusing on the social sciences and engineering ...
Mehmet Barış Horzum +3 more
wiley +1 more source

