LLM-Powered Low-Code/No-Code Data Analytics in Education and Workforce Development

This study explores the large language model-powered low-code and no-code (LC/NC) data analytics methods and evaluates their advantages and risks. Then, we conducted an empirical study at a university to examine how LC/NC tools enable complex data analyses without requiring extensive programming training.

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Publication Details

Journal
Computer
Published
2025-02-21
DOI
https://doi.org/10.1109/mc.2024.3516614
Primary Topic
Online Learning and Analytics
Type
article
Field-Weighted Citation Impact
0.00

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article

LLM-Powered Low-Code/No-Code Data Analytics in Education and Workforce Development

J. B. Joo Baek Kim, John Oruongo, Chen Zhong
Computer
Online Learning and Analytics
article

LLM-Powered Low-Code/No-Code Data Analytics in Education and Workforce Development

J. B. Joo Baek Kim, John Oruongo, Chen Zhong
article en

Abstract

This study explores the large language model-powered low-code and no-code (LC/NC) data analytics methods and evaluates their advantages and risks. Then, we conducted an empirical study at a university to examine how LC/NC tools enable complex data analyses without requiring extensive programming training.

ComputerVol. 58(3)
University of Tampa (US)
University of Tampa
Decent work and economic growth
Openalex Percentile: Top 97%
Online Learning and Analytics
DOISourceOpenAlex
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LLM-Powered Low-Code/No-Code Data Analytics in Education and Workforce Development — J. B. Joo Baek Kim, John Oruongo, et al. · Computer (2025) | TGRS Research Map | TGRS