Results 51 to 60 of about 45,918 (305)
LEARNING DIALOGUE AS A MEANS OF ACTIVATION OF STUDENTS' COGNITIVE ACTIVITY
The article deals with the essence of a dialogue training, developing of thinking and brisking up the pupils' training-cognitive activity.
V.V. Morozov
doaj +1 more source
Combining Cognitive Modeling and Reinforcement Learning for Clarification in Dialogue [PDF]
In many domains, dialogue systems need to work collaboratively with users to successfully reconstruct the meaning the user had in mind. In this paper, we show how cognitive models of users’ communicative strategies can be leveraged in a reinforcement learning approach to dialogue planning to enable interactive systems to give targeted, effective ...
Baber Khalid +2 more
openaire +1 more source
Large Language Model in Materials Science: Roles, Challenges, and Strategic Outlook
Large language models (LLMs) are reshaping materials science. Acting as Oracle, Surrogate, Quant, and Arbiter, they now extract knowledge, predict properties, gauge risk, and steer decisions within a traceable loop. Overcoming data heterogeneity, hallucinations, and poor interpretability demands domain‐adapted models, cross‐modal data standards, and ...
Jinglan Zhang +4 more
wiley +1 more source
This paper presents an approach to flexible and adaptive dialogue management driven by cognitive modelling of human dialogue behaviour. Artificial intelligent agents, based on the ACT-R cognitive architecture, together with human actors are participating
Petukhova, Volha +2 more
core +1 more source
Large Language Model‐Based Chatbots in Higher Education
The use of large language models (LLMs) in higher education can facilitate personalized learning experiences, advance asynchronized learning, and support instructors, students, and researchers across diverse fields. The development of regulations and guidelines that address ethical and legal issues is essential to ensure safe and responsible adaptation
Defne Yigci +4 more
wiley +1 more source
ABSTRACT The rapid advancement of large language model (LLM) technology is profoundly transforming the practice of social science research. Scholarly discussions on Artificial Intelligence (AI)'s role in social science research can be organised into three levels: AI as a research tool, AI as a methodological infrastructure and AI as a quasi‐cognitive ...
Jie Xiong
wiley +1 more source
Reference strategies in dialogues about ethnic faces: a toposemantic express-analysis
In the experimental study in identification/discrimination of ethnic faces by dyads, the phenomena of mutual assimilation of the cognitive processes in communication partners were investigated.
A.N. Kharitonov +2 more
doaj +1 more source
Balancing Cognitive and Motivational Scaffolding in Tutorial Dialogue [PDF]
A key challenge in the design of tutorial dialogue systems is identifying tutorial strategies that can effectively balance the tradeoffs between cognitive and affective student outcomes. This balance is problematic because the precise nature of the interdependence between cognitive and affective strategies is not well understood.
Kristy Elizabeth Boyer +4 more
openaire +1 more source
‘Turkeys Cannot Vote for Christmas’: Why Epistemic Disobedience in an Anti‐Black World Matters
ABSTRACT Never in the history of global coloniality has the idea of epistemic disobedience been as important as in the 21st century. This is not only because the struggle for decolonisation has shifted from physical confrontation between the coloniser and the colonised into a battle of ideas but also because the former has deployed the idea of ...
Morgan Ndlovu
wiley +1 more source
A Systematic Review of Dialogue-Based Teaching Intervention in Chinese Classrooms
Purpose In the past few decades, dialogic pedagogy has been highly valued and promoted in classrooms globally. Although studies examining dialogue-based pedagogical practices in China are still limited, recent studies have indicated that dialogue-based ...
Yixuan Zheng (郑艺璇) +1 more
doaj +1 more source

