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Artificial intelligence learning platform in a visual programming environment: exploring an artificial intelligence learning model

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Abstract

Amidst the rapid advancement in the application of artificial intelligence learning, questions regarding the evaluation of students’ learning status and how students without relevant learning foundation on this subject can be trained to familiarize themselves in the field of artificial intelligence are important research topics. This study employed the use of a self-built AI platform (Ladder) for students to systematically learn and apply AI learning model established by the partial least squares (PLS) method to investigate the influence between variables (learning attitudes, self-regulated learning, AI anxiety, individual impact, computational thinking abilities, cognitive styles). This study was particularly conducted in the Department of Computer Science and Information Engineering of a top national university in Southern Taiwan. The valid data were collected from 65 students (55 male students; 10 female students). Furthermore, this study demonstrated the relationship between cognitive style, self-regulated learning and computational thinking. For the first time, it explored the impact of AI anxiety and completed existing research on it. The results of this study show that interest in learning positively affects learning attitudes. In addition, learning attitudes have a positive influence on each individual’s performance. Based on multiple theories and the artificial intelligence learning platform, the model proposed in this study effectively understood students’ learning status.

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Abbreviations

CT:

Computational thinking

SRL:

Self-regulated learning

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Acknowledgements

We thank the anonymous reviewers for their constructive comments. This research work was supported in part by the National Science and Technology Council of Taiwan, ROC. (NSTC 112-2221-E-006-164 -, MOST 110-2511-H-006 -011 -MY3, MOST 109-2511-H-006-004-MY3, and MOST 112-2917-I-006-018)

Funding

National Science and Technology Council, NSTC 112-2221-E-006-164 -, Jui-Hung Chang, MOST 110-2511-H-006 -011 -MY3,Chin-Feng Lai,MOST 109-2511-H-006-004-MY3,Chi-Jane Wang, MOST 112-2917-I-006-018, Hua-Xu Zhong

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Authors and Affiliations

  1. Department of Computer Science and Information Engineering, Computer and Network Center, National Cheng Kung University, No.1, University Rd., Tainan, 701, Taiwan, ROC

    Jui-Hung Chang

  2. Department of Nursing, College of Medicine, National Cheng Kung University, No.1, University Rd., Tainan, 701, Taiwan

    Chi-Jane Wang

  3. Department of Engineering Science, National Cheng Kung University, No.1, University Rd., Tainan, 701, Taiwan, ROC

    Hua-Xu Zhong & Chin-Feng Lai

  4. Department of Computer Science and Information Engineering, National Cheng Kung University, No.1, University Rd., Tainan, 701, Taiwan, ROC

    Hsiu-Chen Weng, Yu-Kai Zhou & Hoe-Yuan Ong

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Appendix A. Questionnaire

Appendix A. Questionnaire

All questionnaire items are listed in this survey, and deleted items are marked with a symbol (*).

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Table 10 Questionnaire items
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Chang, JH., Wang, CJ., Zhong, HX. et al. Artificial intelligence learning platform in a visual programming environment: exploring an artificial intelligence learning model. Education Tech Research Dev 72, 997–1024 (2024). https://doi.org/10.1007/s11423-023-10323-z

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