HomeAbstract of 13th-hsconfThe Effectiveness of Generative AI in Learning History: Evidence from Interviews

The Effectiveness of Generative AI in Learning History: Evidence from Interviews

  • Jun 3, 2026
  • Posted by:
  • Category: Abstract of 13th-hsconf
No Comments


Abstract Book of the 13th International Conference on New Findings in Humanities and Social Sciences

Year: 2026

[PDF]

The Effectiveness of Generative AI in Learning History: Evidence from Interviews

Hanxia Zhang

ABSTRACT:

The development of Generative Artificial Intelligence (GAI) technology in education has brought its pedagogical functions into sharp focus. Previous studies have mainly employed quantitative approaches to measure the influence of GAI, whereas there has been very little focus on a qualitative approach among secondary school students who use GAI in their humanities subjects. This paper provides a qualitative analysis of the effectiveness of teaching GAI for history learning by conducting semi-structured interviews with 20 seventh-grade students at a secondary school in Shenzhen, China. This study evaluates the impact of applying ChatGPT and DALL-E 3 in history learning on students’ comprehension, learning motivation, and cognitive load. Thematic analysis reveals that GAI is an effective tool for learning and substantially reduces students’ external cognitive load.

Keywords: Generative Artificial Intelligence; History Education; Qualitative Research; Learning Motivation; Cognitive Load