Related papers: AI in Work-Based Learning: Understanding the Purposes and Effects of Intelligent Tools Among Student Interns

AI in Work-Based Learning: Understanding the Purposes and Effects of Intelligent Tools Among Student Interns

URL: http://arxiv.org/abs/2603.28786v1
Date: Fri, 20 Mar 2026 01:21:09 GMT
Title: AI in Work-Based Learning: Understanding the Purposes and Effects of Intelligent Tools Among Student Interns
Abstract summary: This study examined how student interns in Philippine higher education use intelligent tools during their OJT.<n>ChatGPT was the most commonly used AI tool, followed by Quillbot, AI, and Grammarly.<n>Students reported moderate confidence in using AI and applied these tools selectively and ethically during OJT tasks.
Score: 0.0
License: http://creativecommons.org/licenses/by/4.0/
Abstract: This study examined how student interns in Philippine higher education use intelligent tools during their OJT. Data were collected from 384 respondents using a structured questionnaire that asked about AI tool usage, task-specific applications, and perceptions of confidence, ethics, and support. Analysis of task-based usage identified four main purposes: productivity and report writing, communication and content drafting, technical assistance and code support, and independent task completion. ChatGPT was the most commonly used AI tool, followed by Quillbot, Canva AI, and Grammarly. Students reported moderate confidence in using AI and applied these tools selectively and ethically during OJT tasks. This indicate that AI tools assist student interns in various OJT activities related to work-readiness. The study suggests that higher education programs include AI literacy and onboarding. Clear policies and fair access to AI tools are important to support responsible use and prepare students for future careers.

Related papers

AI Literacy Assessment Revisited: A Task-Oriented Approach Aligned with Real-world Occupations [1.7684337194725703]
We describe the development of a novel AI literacy assessment instrument, and accompanying formative assessments, in the context of a US Navy robotics training program.<n>We argue that when training people for AI-related work, educators should consider evaluating them with instruments that emphasize highly contextualized practical skills.
arXiv Detail & Related papers (2025-11-07T18:38:15Z)
Designing Knowledge Tools: How Students Transition from Using to Creating Generative AI in STEAM classroom [16.22611628916297]
This study explores how graduate students in an urban planning program transitioned from passive users of generative AI to active creators of custom GPT-based knowledge tools.
arXiv Detail & Related papers (2025-10-22T09:23:19Z)
Deploying AI for Signal Processing education: Selected challenges and intriguing opportunities [44.18936398140735]
Article explores the use of AI tools to facilitate and enhance education.<n> Primers are provided on several core technical issues that arise when using AI in educational settings.<n>The article serves as a resource for researchers and educators seeking to advance AI's role in engineering education.
arXiv Detail & Related papers (2025-09-10T19:19:26Z)
Methodological Foundations for AI-Driven Survey Question Generation [41.94295877935867]
This paper presents a methodological framework for using generative AI in educational survey research.<n>We explore how Large Language Models can generate adaptive, context-aware survey questions.<n>We examine ethical issues such as bias, privacy, and transparency.
arXiv Detail & Related papers (2025-05-02T09:50:34Z)
A Multi-Year Grey Literature Review on AI-assisted Test Automation [46.97326049485643]
Test Automation (TA) techniques are crucial for quality assurance in software engineering but face limitations.<n>Given the prevalent usage of AI in industry, sources of truth are held in grey literature as well as the minds of professionals.<n>This study surveys grey literature to explore how AI is adopted in TA, focusing on the problems it solves, its solutions, and the available tools.
arXiv Detail & Related papers (2024-08-12T15:26:36Z)
The Evolution of Information Seeking in Software Development: Understanding the Role and Impact of AI Assistants [9.887133861477233]
We conducted a mixed-method study to understand AI-assisted information seeking behavior of practitioners and its impact on their perceived productivity and skill development.<n>We found that developers are increasingly using AI tools to support their information seeking, citing increased efficiency as a key benefit.<n>Our efforts have implications for the effective integration of AI tools into developer as information retrieval systems and learning aids.
arXiv Detail & Related papers (2024-08-07T18:27:13Z)
Effects of a Prompt Engineering Intervention on Undergraduate Students' AI Self-Efficacy, AI Knowledge and Prompt Engineering Ability: A Mixed Methods Study [36.48421439947282]
This study designed and implemented a prompt engineering intervention at a university in Hong Kong. It examined students' AI self-efficacy, AI knowledge, and proficiency in creating effective prompts.
arXiv Detail & Related papers (2024-07-30T15:05:24Z)
ChatISA: A Prompt-Engineered, In-House Multi-Modal Generative AI Chatbot for Information Systems Education [0.6784745592354215]
ChatISA is an in-house, multi-model AI bot designed to support students and faculty in an Information Systems and Analytics department.<n>ChatISA comprises four primary modules: Coding Companion, Project Coach, Exam Ally, and Interview Mentor.<n>All code for ChatISA is made publicly available on GitHub, enabling other institutions to customize and integrate similar AI-driven educational tools within their curricula.
arXiv Detail & Related papers (2024-06-13T04:00:07Z)
Harnessing AI for efficient analysis of complex policy documents: a case study of Executive Order 14110 [44.99833362998488]
Policy documents, such as legislation, regulations, and executive orders, are crucial in shaping society. This study aims to evaluate the potential of AI in streamlining policy analysis and to identify the strengths and limitations of current AI approaches.
arXiv Detail & Related papers (2024-06-10T11:19:28Z)
I would love this to be like an assistant, not the teacher: a voice of the customer perspective of what distance learning students want from an Artificial Intelligence Digital Assistant [0.0]
This study examined the perceptions of ten online and distance learning students regarding the design of a hypothetical AI Digital Assistant (AIDA) All participants agreed on the usefulness of such an AI tool while studying and reported benefits from using it for real-time assistance and query resolution, support for academic tasks, personalisation and accessibility, together with emotional and social support. Students' concerns related to the ethical and social implications of implementing AIDA, data privacy and data use, operational challenges, academic integrity and misuse, and the future of education.
arXiv Detail & Related papers (2024-02-16T08:10:41Z)
LLM-based Interaction for Content Generation: A Case Study on the Perception of Employees in an IT department [85.1523466539595]
This paper presents a questionnaire survey to identify the intention to use generative tools by employees of an IT company. Our results indicate a rather average acceptability of generative tools, although the more useful the tool is perceived to be, the higher the intention seems to be. Our analyses suggest that the frequency of use of generative tools is likely to be a key factor in understanding how employees perceive these tools in the context of their work.
arXiv Detail & Related papers (2023-04-18T15:35:43Z)

This list is automatically generated from the titles and abstracts of the papers in this site.