Artificial intelligence technologies in entrepreneurship education
| Authors . | Adoption of AI technology . | Definition of applied AI technology . | Research method . | Sample size . | Education purpose . | Research aim . | Research Quality . | Publication . | ||
|---|---|---|---|---|---|---|---|---|---|---|
| T . | L . | M/R . | ||||||||
| Tkachenko et al. (2019) | Machine learning (fuzzy model and neural network) | Standpoint of cognitive understanding of information development of the entrepreneurial training | Qualitative research | n/a | + | M-machine concept for development of the artificial intelligence technology in provision of the entrepreneurial education | Middle | Journal of Entrepreneurship Education | ||
| Liang et al. (2021) | Machine learning (Neural network) | Not given directly, explaining and integrating two algorithms | Experiment study | 30 (20 training, 10 test data) | + | Sustainability evaluation of innovation and entrepreneurship education for clean energy majors | High | Sustainability | ||
| Botha et al. (2021) | Machine learning (neural networks) | A technique to identify patterns and trends in a string of behaviors | Experiment study | 150 samples (125 valid) | + | Test non-linear relationships and compare with linear regression model | Middle | Development Southern Africa | ||
| Sedkaoui (2018) | Big data (data analytics) | A natural crop of the advanced digital artifacts and their applications (volume, variety, velocity) | Qualitative research | n/a | + | The potential of introducing big data analytics in learning process and making entrepreneurial decisions | Middle | International Journal of Innovation Science | ||
| Xu and Zhang (2021) | Machine learning (Wavelet neural network) | A mathematical model, similar to the human nervous system | Experiment study | 20 graduates | + | Analysis and prediction model of college students’ entrepreneurial psychology | High | Frontiers in psychology | ||
| Chen (2021) | Machine learning (fuzzy neural network) | Improving the real-time scheduling and collocation ability of the innovation and entrepreneurship education model of college students FNN control the innovation and entrepreneurship education model of college students | Experiment study (survey) | 219 | + | Improve the automatic scheduling and control method, innovation and entrepreneurship education model for college students based on fuzzy neural network | Middle | Security and Communication Networks | ||
| Toledo et al. (2020) | Big data (learning analytics) | n/a | Survey and log data on learning system | 23 participants with both survey and platform data | + | Using learning analytics to explore the case of dropout during a female-oriented online entrepreneurship education program | Middle | Psychology | ||
| Zhu and Zhang (2022) | Machine learning (deep learning) | n/a | Qualitative research | n/a | + | Learning resource recommendation on problem-based learning management system | Middle | Frontiers in Psychology | ||
| Zhao et al. (2022) | Machine learning (BP neural networks) | a multilayer feedforward neural network in artificial neural network | Experiment study | 9 neurons | + | Evaluation results of women’s entrepreneurship education | Middle | Scientific Programming | ||
| Alqahtani (2023) | AI (machine learning, natural language, expert systems, machine vision) | AI includes machine learning, natural language, expert systems, machine vision | Experiment study | 402 respondents | + | + | Identifying the impact of the dimensions of artificial intelligence on entrepreneurship education at higher education level | High | International Journal of Data and Network Science | |
| Shepherd and Majchrzak (2022) | Machine learning | Machines that are trained to perform tasks associated with human intelligence | Qualitative research | n/a | + | + | + | AI in territory education from entrepreneurial context | High | Journal of Business Venturing |
| Giuggioli and Pellegrini (2022) | Intelligence demonstrated by machines changing with circumstances | n/a | Review | 12 | + | + | + | The influence of AI (as enabler) for entrepreneurship | High | International Journal of Entrepreneurial Behavior&Research |
| Bell and Bell (2023) | AI undertake tasks previously performed by intelligent beings a type of artificial intelligence which can generate new content, including text, images and sound and music, based on directed input | Generative AI | Qualitative research | n/a | + | + | + | The implications of generative artificial intelligence for entrepreneurship education | High | Entrepreneurship Education |
| Authors . | Adoption of AI technology . | Definition of applied AI technology . | Research method . | Sample size . | Education purpose . | Research aim . | Research Quality . | Publication . | ||
|---|---|---|---|---|---|---|---|---|---|---|
| T . | L . | M/R . | ||||||||
| Tkachenko et al. (2019) | Machine learning (fuzzy model and neural network) | Standpoint of cognitive understanding of information development of the entrepreneurial training | Qualitative research | n/a | + | M-machine concept for development of the artificial intelligence technology in provision of the entrepreneurial education | Middle | Journal of Entrepreneurship Education | ||
| Liang et al. (2021) | Machine learning (Neural network) | Not given directly, explaining and integrating two algorithms | Experiment study | 30 (20 training, 10 test data) | + | Sustainability evaluation of innovation and entrepreneurship education for clean energy majors | High | Sustainability | ||
| Botha et al. (2021) | Machine learning (neural networks) | A technique to identify patterns and trends in a string of behaviors | Experiment study | 150 samples (125 valid) | + | Test non-linear relationships and compare with linear regression model | Middle | Development Southern Africa | ||
| Sedkaoui (2018) | Big data (data analytics) | A natural crop of the advanced digital artifacts and their applications (volume, variety, velocity) | Qualitative research | n/a | + | The potential of introducing big data analytics in learning process and making entrepreneurial decisions | Middle | International Journal of Innovation Science | ||
| Xu and Zhang (2021) | Machine learning (Wavelet neural network) | A mathematical model, similar to the human nervous system | Experiment study | 20 graduates | + | Analysis and prediction model of college students’ entrepreneurial psychology | High | Frontiers in psychology | ||
| Chen (2021) | Machine learning (fuzzy neural network) | Improving the real-time scheduling and collocation ability of the innovation and entrepreneurship education model of college students FNN control the innovation and entrepreneurship education model of college students | Experiment study (survey) | 219 | + | Improve the automatic scheduling and control method, innovation and entrepreneurship education model for college students based on fuzzy neural network | Middle | Security and Communication Networks | ||
| Toledo et al. (2020) | Big data (learning analytics) | n/a | Survey and log data on learning system | 23 participants with both survey and platform data | + | Using learning analytics to explore the case of dropout during a female-oriented online entrepreneurship education program | Middle | Psychology | ||
| Zhu and Zhang (2022) | Machine learning (deep learning) | n/a | Qualitative research | n/a | + | Learning resource recommendation on problem-based learning management system | Middle | Frontiers in Psychology | ||
| Zhao et al. (2022) | Machine learning (BP neural networks) | a multilayer feedforward neural network in artificial neural network | Experiment study | 9 neurons | + | Evaluation results of women’s entrepreneurship education | Middle | Scientific Programming | ||
| Alqahtani (2023) | AI (machine learning, natural language, expert systems, machine vision) | AI includes machine learning, natural language, expert systems, machine vision | Experiment study | 402 respondents | + | + | Identifying the impact of the dimensions of artificial intelligence on entrepreneurship education at higher education level | High | International Journal of Data and Network Science | |
| Shepherd and Majchrzak (2022) | Machine learning | Machines that are trained to perform tasks associated with human intelligence | Qualitative research | n/a | + | + | + | AI in territory education from entrepreneurial context | High | Journal of Business Venturing |
| Giuggioli and Pellegrini (2022) | Intelligence demonstrated by machines changing with circumstances | n/a | Review | 12 | + | + | + | The influence of AI (as enabler) for entrepreneurship | High | International Journal of Entrepreneurial Behavior&Research |
| Bell and Bell (2023) | AI undertake tasks previously performed by intelligent beings a type of artificial intelligence which can generate new content, including text, images and sound and music, based on directed input | Generative AI | Qualitative research | n/a | + | + | + | The implications of generative artificial intelligence for entrepreneurship education | High | Entrepreneurship Education |
Note(s): L = learning, T = teaching, M = management, R = research, n/a = not available
Source(s): Authors' own work