Results 121 to 130 of about 117,332 (307)

Risky or rigorous? Developing trustworthiness criteria for AI‐supported qualitative data analysis

open access: yes
Anatomical Sciences Education, EarlyView.
Michelle D. Lazarus   +4 more
wiley   +1 more source

Unveiling student sentiment dynamics toward AI‐based education through statistical analysis and Monte Carlo simulation

open access: yesBritish Educational Research Journal, EarlyView.
Abstract This study explores the multifaceted dynamics of student sentiment towards artificial intelligence (AI)‐based education by integrating sentiment analysis techniques with statistical methods, including Monte Carlo simulations and decision tree modelling, alongside qualitative grounded theory analysis.
Volkan Duran   +2 more
wiley   +1 more source

Graduates' conceptions of meaningful work

open access: yesBritish Educational Research Journal, EarlyView.
Abstract This paper explores how meaningful work is conceptualised by recent graduates. Whilst the imperative to maximise economic returns from higher education (HE) endures in HE policy, less attention is given to how meaningful work is and its relationship to values and identities.
Michael Tomlinson, Manuel Souto‐Otero
wiley   +1 more source

Learner emotions and performance in hypercasual VR games with adaptive AI difficulty

open access: yesBritish Educational Research Journal, EarlyView.
Abstract Hypercasual virtual reality games (HVRGs) are widely regarded as cost‐effective tools for rapid skill acquisition, yet the mechanisms that optimise their effectiveness and user acceptance remain insufficiently explored. This mixed‐methods empirical study investigates how playful emotions, characterised by engagement, enjoyment and anxiety ...
Zeeshan Ahmed, Faizan Ahmad, Chen Hui
wiley   +1 more source

Pedagogical considerations in the automation era: A systematic literature review of AIEd in K‐12 authentic settings

open access: yesBritish Educational Research Journal, EarlyView.
Abstract The introduction of artificial intelligence (AI) into education holds promise for supporting and augmenting teaching and learning‐related activities. Yet, despite its potential, there is limited empirical research on the use of AI in K‐12 settings exploring the pedagogical grounding, impact and implications of the technological solutions.
Paraskevi Topali   +3 more
wiley   +1 more source

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