T3Mermaid to ASCII art (mermaid-ascii)T3Kimi K3, and what we can still learn from the pelican benchmarkT3Firefox in WebAssemblyT3Spot birds not golfT3[AINews] Kimi K3 2.8T-A50B: the largest open model ever released; Opus 4.8-class at Sonnet 5 pricingT1From physical surfaces to human-centric heat stress: LST and UTCI heat mapping reveals nonlinear effects of urban morphologyT1DualHNIE: Dual-Channel Hypergraph Learning for Node Importance Estimation in Heterogeneous Knowledge GraphsT1GenTL: A General Transfer Learning Model for Building Thermal DynamicsT1A short review on the maximum clique problem algorithms with classical, AI, and quantum methodsT1Man, Machine, and Masterpiece: Artistic Ownership in the AI EraT1HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective OptimizationT1How Well Does AI-Generated Feedback Work? Intrinsic and Extrinsic Evaluation across more than 20,000 EFL Essay DraftsT3Mermaid to ASCII art (mermaid-ascii)T3Kimi K3, and what we can still learn from the pelican benchmarkT3Firefox in WebAssemblyT3Spot birds not golfT3[AINews] Kimi K3 2.8T-A50B: the largest open model ever released; Opus 4.8-class at Sonnet 5 pricingT1From physical surfaces to human-centric heat stress: LST and UTCI heat mapping reveals nonlinear effects of urban morphologyT1DualHNIE: Dual-Channel Hypergraph Learning for Node Importance Estimation in Heterogeneous Knowledge GraphsT1GenTL: A General Transfer Learning Model for Building Thermal DynamicsT1A short review on the maximum clique problem algorithms with classical, AI, and quantum methodsT1Man, Machine, and Masterpiece: Artistic Ownership in the AI EraT1HABIB_TAZ at SemEval-2026 Task 11: Disentangling Formal Logic from Content via Synthetic Training and Multi-Objective OptimizationT1How Well Does AI-Generated Feedback Work? Intrinsic and Extrinsic Evaluation across more than 20,000 EFL Essay Drafts

The Effectiveness of Generative AI in Learning History

Primary research

#409

T1digested

Canonical URL: https://www.semanticscholar.org/paper/68de9d0d2ac9c5448c3530821505f57c98089598
Topic: AI Pedagogy and Assessment
First seen: 2026-07-16 23:33:02
Last seen: 2026-07-16 23:33:02

Source raw items (1)

Semantic Scholar2026-07-16 23:31:52
The Effectiveness of Generative AI in Learning History
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.