Artificial intelligence-enabled project-based learning to augment subject comprehension among commerce graduates
- Title
- Artificial intelligence-enabled project-based learning to augment subject comprehension among commerce graduates
- Creator
- Ansar, Mifzala; George, Ginu
- Description
- In project-based learning, students participate in and create knowledge, problem solve and interact with their peers. This method is an active learning program that provides a deep grasp of subject matter as well as teaches critical thinking skills. AI technology in project-based learning creates an environment that is dynamic this allows students to succeed academically. A convenience sample of 100 students will be selected for this experiment-based research. The results using the advanced statistical tools and techniques using the SPSS ver 28 and Independent t test Paired t test were used. The results of the study indicate students in the experiment group had better subject comprehension from project based learning when AI based interventions are given. In contrary, the control group which was not administered with any AI interventions showed moderate increase in subject comprehension. The study's implications emphasise that AI-based projects, real-time feedback, personalized learning resources, and virtual simulations help deepen their understanding of commerce subjects. 2025, IGI Global Scientific Publishing. All rights reserved.
- Source
- Prompt Engineering and Generative AI Applications for Teaching and Learning;pp.143-159
- Date
- 01-01-2025
- Publisher
- IGI Global
- Coverage
- Ansar M., Christ University, India; George G., Christ University, India
- Rights
- Restricted Access; Hardcopy may be available in the library
- Relation
- ISBN: 979-836937334-7; 979-836937332-3;
- Format
- online
- Language
- English
- Type
- Book chapter
Collection
Citation
Ansar, Mifzala; George, Ginu, “Artificial intelligence-enabled project-based learning to augment subject comprehension among commerce graduates,” CHRIST (Deemed To Be University) Institutional Repository, accessed June 20, 2026, https://archives.christuniversity.in/items/show/24989.
