Results 191 to 200 of about 86,682 (299)

A Generative AI System for Biomedical Data Discovery with Grammar-Based Visualizations [PDF]

open access: green
Devin Lange   +6 more
openalex   +1 more source

A Chinese Language Teacher's Self‐Study on Diffracting Curriculum Materials and Pedagogy Through a Complex Dynamic Systems Framework

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT Little is known about how classroom teachers' interpretation of curriculum materials influences students' personal, social, and cultural engagements at the classroom level. By connecting posthumanism to complex dynamic systems, this self‐study explores an inclusive pedagogical practice aimed at promoting dynamic learning for diverse student ...
Dave Yan
wiley   +1 more source

“I Need to Be Prepared”: EFL Teachers in Korea and GenAI's Influence on Their Professional Identities

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT The proliferation of generative artificial intelligent (GenAI) models and tools are revolutionizing how existing practices are transformed across multiple industries, including English language education. Simultaneously, the capabilities of these models are shaping how teachers reevaluate their roles as educators, especially in high‐stakes ...
Josh Hayes, A. Jane Loper
wiley   +1 more source

Vine grammar generative system [PDF]

open access: bronze, 2010
Tse-Wie Hsu, Shang-Chia Chiou, Jen Yen
openalex   +1 more source

Increasing Student Teachers' Preference of Scientific Evidence—Insights From a Utility Value Intervention

open access: yesFuture in Educational Research, EarlyView.
ABSTRACT Teacher education should equip student teachers with scientific evidence and scientific theories as a resource for future pedagogical action. In opposition to this, student teachers tend to perceive a rather low utility value of scientific evidence and scientific theories for pedagogical action.
Michael Rochnia   +4 more
wiley   +1 more source

Can Legal and Professional Personnel Selection Principles be Met With Machine Learning (Artificial Intelligence)?

open access: yesHuman Resource Management, EarlyView.
ABSTRACT The purpose of this article is primarily to evaluate whether machine learning (a form of artificial intelligence) can meet scientific, professional, and legal principles of personnel selection based on the rapidly accumulating research literature in Human Resource Management (HRM).
Michael A. Campion
wiley   +1 more source

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