Education

Classrooms & Teachers · 12 stories · page 1 of 1

EducationEvidence-backed problem

Curriculum–Skill Gap in the AI Era: Assessing Alignment in Communication-Related Programs

Artificial intelligence is rapidly reshaping skill expectations across media, marketing, and journalism, however, university curricula are not evolving at a comparable speed. To quantify the resulting curriculum–skill gap in communication-related programs, two synchronous corpora were assembled for the period July 2024–June 2025: 66 course descriptions from six leading UK universities and 107 graduate-to-mid-level job advertisements in communications, digital media, advertising, and public relations. Alignment a…

Journalism and Media

Both readings

Not quite eye to A.I.: student and teacher perspectives on the use of generative artificial intelligence in the writing process

Both readings

Hands-on Artificial Intelligence Education for Radiology Residents: A Three-year Feasibility and Curriculum Implementation Study

Both readings

The AI generation gap: Are Gen Z students more interested in adopting generative AI such as ChatGPT in teaching and learning than their Gen X and millennial generation teachers?

Evidence-backed problem

Simulating Reality and Transforming Endoscopic Education-Lessons from Esophageal Dilation

Although endoscopic training has traditionally relied on mentorship and procedural volume to assess proficiency, the major gastroenterology societies have increasingly adopted competency-based assessment tools, including the Assessment of Competency in Endoscopy (ACE) and Direct Observation of Procedural Skills (DOPS), to provide a more objective evaluation of technical and cognitive skills. Despite these advances, mentor-based assessment remains susceptible to subjectivity. Emerging technologies such as simulat…

Both readings

Embracing the future of Artificial Intelligence in the classroom: the relevance of AI literacy, prompt engineering, and critical thinking in modern education

Abstract The present discussion examines the transformative impact of Artificial Intelligence (AI) in educational settings, focusing on the necessity for AI literacy, prompt engineering proficiency, and enhanced critical thinking skills. The introduction of AI into education marks a significant departure from conventional teaching methods, offering personalized learning and support for diverse educational requirements, including students with special needs. However, this integration presents challenges, includin…

Model-prefilled gain

Built in a lab: Bhopal teacher gives AI gaming makeover to Sanskrit learning

Bhopal Sanskrit teacher Abhishek Tiwari builds a free AI gaming lab and portal, turning NCERT lessons into interactive games to boost student learning.

Evidence-backed gain

The impact of robot-assisted language learning (RALL) on EFL students’ classroom engagement and willingness to attend classes (WTAC): A technology acceptance model (TAM) perspective

Recently, a surge of scholarly attention has been paid to the impacts of Artificial Intelligence (AI) tools on second/foreign language (L2) education. Nonetheless, there is a lack of evidence on the role of AI-assisted robots or robot-assisted language learning (RALL) in English as a foreign language (EFL) students’ psycho-emotional factors and academic behaviors. To address this gap, drawing on the technology acceptance model (TAM), the present study probed into the impact of robot-assisted L2 education on Chin…

Education

A kind of magic? Artificial intelligence-assisted recording: developing principles for an AI-informed social work curriculum

The deployment of AI tools in social work practice settings is advancing at a pace that social work education has yet to match. Drawing on baseline findings from an independent evaluation of Magic Note, an AI-assisted recording tool deployed across a Scottish Local Authority social work department, this paper uses the empirical experiences of a workforce encountering AI in practice as a window into the underdeveloped implications for qualifying education. The evaluation, which involved 152 practitioners surveyed…

Education

The use of large language models to solve mathematical modeling problems: preservice mathematics teachers’ use practices, perceived affordances and challenges, and trustworthiness judgments of AI-generated outputs

Abstract Mathematical modeling is a core component of mathematics education, enabling learners to connect mathematical ideas with real-world phenomena. Yet, it remains challenging for preservice teachers (PSTs), who must develop their own modeling competence while preparing to guide future students in reasoning about authentic situations. Large language models (LLMs) offer promising, though underexplored, potential to scaffold these complex learning processes by providing real-time explanations, supporting reaso…

Education

Teacher v chatbot: my journey into the classroom in the age of AI

Two years ago, at the age of 39, I began training to be a school teacher. I wanted to teach English – to help young people become stronger readers, writers and thinkers, with a deeper connection to literature. After 15 years of working as a freelance writer and as a novelist, I felt confident that I had something to offer. But the further I progressed in my training, the more uncertain I felt. One particular question taunted me for my lack of an answer. What to do about artificial intelligence? The immediate dil…

Education

AI in the classroom prompts tide of concern from US parents and experts

In October, Kelly Clancy’s son received an assignment in sixth grade at a middle school in Brooklyn, New York, to create a science experiment and then ask Google Gemini, an artificial intelligence chatbot, for feedback, she said. Clancy, who has three children in New York City public schools, told the teacher that the bot “is something that just teaches kids that they can have machines do the thinking for them”, instead of suggesting: “Let’s talk to your partners. What about the science experiment could you impr…