InquiryGPT: Augmenting ChatGPT for Enhancing Inquiry-Based Learning in STEM Education

被引:3
作者
Li, Pin-Hui [1 ]
Lee, Hsin-Yu [1 ]
Lin, Chia-Ju [1 ]
Wang, Wei-Sheng [1 ]
Huang, Yueh-Min [2 ]
机构
[1] Natl Cheng Kung Univ, Tainan, Taiwan
[2] Natl Cheng Kung Univ, Dept Engn Sci, 1 Univ Rd, Tainan 701, Taiwan
关键词
STEM education; inquiry-based learning; ChatGPT; higher order thinking skills; knowledge construction; technology acceptance model (TAM); ACCEPTANCE MODEL TAM; TECHNOLOGY; TEACHER;
D O I
10.1177/07356331241289824
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
The core purpose of integrating inquiry-based learning strategies into STEM activities is to create a challenging learning environment that stimulates students' active learning, thereby effectively enhancing their interest in learning, thinking skills, and practical application abilities. To achieve these goals, developing more technology-assisted tools and platforms to improve teaching efficiency and enrich the learning experience becomes crucial. Therefore, this research developed InquiryGPT, which guides students through the POEE inquiry process by imposing limitations, facilitating dialogue, and providing feedback, while avoiding over-reliance on ChatGPT. This promotes the cultivation of higher-order thinking skills through interactions with InquiryGPT, thereby enhancing students' knowledge construction and understanding. This study, based on the Technology Acceptance Model (TAM), examined the effectiveness of InquiryGPT. The results showed no significant difference between InquiryGPT and ChatGPT in terms of perceived usefulness and perceived ease of use. Additionally, through analysis of covariance (ANCOVA), the study further analyzed the impact of InquiryGPT on students' higher-order thinking skills and learning scores, proving that it significantly enhances students' creativity, problem-solving abilities, critical thinking, and knowledge construction.
引用
收藏
页码:2157 / 2186
页数:30
相关论文
共 74 条
  • [1] Abdurrahman AriyaniF., 2019, Journal for the Education of Gifted Young Scientists, V7, P33, DOI DOI 10.17478/JEGYS.513308
  • [2] Adijaya M. A., 2023, International Journal of Educational Methodology, V9, P261, DOI [10.12973/ijem.9.1.261, DOI 10.12973/IJEM.9.1.261]
  • [3] Instructional design of scaffolded online learning modules for self-directed and inquiry-based learning environments
    Al Mamun, Md Abdullah
    Lawrie, Gwendolyn
    Wright, Tony
    [J]. COMPUTERS & EDUCATION, 2020, 144
  • [4] Science and inquiry-based teaching and learning: a systematic review
    Alarcon, Diego Antonio Urdanivia
    Talavera-Mendoza, Fabiola
    Paucar, Fabian Hugo Rucano
    Caceres, Karina Sandra Cayani
    Viza, Rina Machaca
    [J]. FRONTIERS IN EDUCATION, 2023, 8
  • [5] Can teachers' digital competence influence technology acceptance in vocational education?
    Antonietti, Chiara
    Cattaneo, Alberto
    Amenduni, Francesca
    [J]. COMPUTERS IN HUMAN BEHAVIOR, 2022, 132
  • [6] Baidoo-Anu D., 2023, Journal of AI, V7, P52, DOI [DOI 10.61969/JAI.1337500, 10.61969/jai.1337500, https://doi.org/10.61969/jai.1337500, DOI 10.2139/SSRN.4337484]
  • [7] Assessing multidimensional students' perceptions of twenty-first-century learning practices
    Chai, Ching Sing
    Deng, Feng
    Tsai, Pei-Shan
    Koh, Joyce Hwee Ling
    Tsai, Chin-Chung
    [J]. ASIA PACIFIC EDUCATION REVIEW, 2015, 16 (03) : 389 - 398
  • [8] Chen C., 2021, EURASIA J MATH SCI T, V17, pem2031, DOI [10.29333/ejmste/11254, DOI 10.29333/EJMSTE/11254]
  • [9] Inquiry-Enhanced Digital Game-Based Learning: Effects on Secondary Students' Conceptual Understanding in Science, Game Performance, and Behavioral Patterns
    Chen, Ching-Huei
    Huang, Kun
    Liu, Jun-Han
    [J]. ASIA-PACIFIC EDUCATION RESEARCHER, 2020, 29 (04) : 319 - 330
  • [10] Developing a cycle-mode POED model and using scientific inquiry for a practice activity to improve students' learning motivation, learning performance, and hands-on ability
    Chen, Jyun-Chen
    [J]. INTERACTIVE LEARNING ENVIRONMENTS, 2022, 30 (07) : 1252 - 1264