Results 81 to 90 of about 2,237 (214)

The Role of Instructional Designers in the Integration of Generative Artificial Intelligence in Online and Blended Learning in Higher Education

open access: yesOnline Learning
The purpose of this exploratory research study was to examine the roles instructional designers (IDs) in higher education play in the integration of generative Artificial Intelligence (GenAI) into their organizations, and how they use GenAI technologies
Swapna Kumar   +5 more
doaj   +1 more source

Designing Feedback and Assessment for GenAI‐Assisted Digital Multimodal Composition in L2

open access: yesTESOL Quarterly, EarlyView.
Abstract The rapidly evolving use of GenAI leads to a crucial need for new approaches to instruction and assessment of language skills in DMC tasks. The study adopted a convergent mixed‐methods design within an 11‐week action research framework. The study was conducted with 12 Turkish tertiary‐level L2 learners based on a process‐genre pedagogy to ...
Sibel Söğüt   +2 more
wiley   +1 more source

Early PLT Student Perceptions of the Integration of Generative Artificial Intelligence in Legal Education

open access: yesLaw, Technology and Humans
This article explores the reflections of Australian law students on the use and integration of Generative Artificial Intelligence (GenAI) in the practical legal training law curriculum.
Nicole Landy
doaj   +1 more source

Genai For Drug Discovery And Development

open access: yes, 2023
GenAI’s introduction into drug discovery and development is changing the way pharmaceutical research is done by making the process swifter, less expensive, and more creative. It is slow, costly, and many drugs fail when developing them the traditional way.
openaire   +3 more sources

Assessment of Digital Multimodal Composing: Toward Ethical and Responsible Use of Generative AI

open access: yesTESOL Quarterly, EarlyView.
Abstract This Research Issues paper outlines the theoretical and practical foundations for assessing GenAI‐mediated DMC, with a particular focus on frameworks for ethical authorship, diverse assessment approaches and methods, and flexible quality criteria and rubrics.
Dong‐shin Shin   +2 more
wiley   +1 more source

Leveraging GenAI for Automated Feedback on Source‐Based Writing: A Three‐Stage Model

open access: yesTESOL Quarterly, EarlyView.
Abstract Writing from multiple sources is a critical skill that requires both reading and writing abilities. It involves comprehending and evaluating source texts while synthesizing information across them. Due to these demands, feedback on such writing typically relies on teachers, who must consider the source texts during evaluation.
Danling Li, Kai Guo
wiley   +1 more source

In GenAI we trust: An investigation of university students’ reliance on and resistance to generative AI in language learning

open access: yesInternational Journal of Educational Technology in Higher Education
Advances in generative artificial intelligence (GenAI) have the potential to transform learning. As research increasingly calls for transforming the human-GenAI relationship from mere tool use to a collaborative partnership, there remains a notable gap ...
Feifei Wang   +3 more
doaj   +1 more source

GenAI‐Assisted Digital Multimodal Composing in TESOL Teacher Education

open access: yesTESOL Quarterly, EarlyView.
Abstract This study explored how pre‐service TESOL teachers integrated GenAI tools into a Digital Multimodal Composing (DMC) project, composing a website, at a Hong Kong university. Specifically, it explored their decision‐making and cognitive engagement in the DMC process when they had autonomy in the use of GenAI tools.
Benjamin Luke Moorhouse   +2 more
wiley   +1 more source

Which educational approaches predict students’ generative AI confidence and responsibility?

open access: yesComputers and Education: Artificial Intelligence
Given the risks and ethical concerns of integrating generative artificial intelligence (GenAI) into education, scholars have argued for a critical-reflective education approach that addresses the long-term implications of GenAI.
Tessa Consoli, Dominik Petko
doaj   +1 more source

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