Table 4

Opportunities for research of AI in Entrepreneurship Education

AI in EEKeywordsResearch gapSourcing
Big data and EE
  • 1.

    Data collection

  • 2.

    Data analysis

  • 3.

    Data visualization

  • 4.

    Data privacy

  • 5.

    Entrepreneurship analytics

  • 1.1

    Collection of multimodal data (i.e. gaze, electrodermal test, brainwave)

  • 1.2

    Collection of social and emotional data

  • 1.3

    Disparate data in various platforms

  • 2.1

    Learning analytics for learners and stakeholders

  • 2.2

    Data science

  • 3.1

    Dashboard specialized in EE

  • 3.2

    Mescal data visualization produced in lab or classroom

  • 4.1

    Data ethics and privacy

  • 5.1

    Entrepreneurial ideas analytics

Alam (2021), Daniel (2015), Ochoa et al. (2022), Verbert et al. (2013) 
Machine learning in EE
  • 1.

    Algorithm

  • 1.1

    Optimal algorithms for assessment of EE

  • 1.2

    Prediction of EE

  • 1.3

    Model training

Korkmaz and Correia (2019), Ciolacu et al. (2017) 
Personalized learning management system in EE
  • 1.

    Learner model

  • 2.

    Knowledge model

  • 3.

    Pedagogical model

  • 1.1

    Learning style

  • 1.2

    Demographic background

  • 2.1

    Knowledge coding

  • 2.2

    Modernizing learning content

  • 3.1

    Entrepreneurial learning strategies

  • 3.2

    Entrepreneurial instruction design

Kahraman et al. (2010), Martin et al. (2020) 
Natural language processing in EE
  • 1.

    Utilization

  • 1.1

    Learning assessment

  • 1.2

    Big language model

Sarker et al. (2019) 
Chatbot in EE
  • 1.

    Utilization

  • 1.1

    Application of AI-based Chatbot in entrepreneurship education effectively

  • 1.2

    When to leverage AI-based Chatbot in entrepreneurship education

Ferrucci et al. (2010) 

Note(s): EE is entrepreneurship education

Source(s): Authors' own work

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