Examining Occupation Fields of Programs According to Artificial Intelligence: Anadolu University Open Education System Case

Sefa Emre Öncü; İrfan Süral

Makale detayları

Examining Occupation Fields of Programs According to Artificial Intelligence: Anadolu University Open Education System Case

Yazarlar:

Sefa Emre Öncü | İrfan Süral

Yayıncı:

Eskişehir Osmangazi University

Ana Başlıklar:

Higher Education Management

Dergi:

Osmangazi Journal of Educational Research Vol.11 Issue 1, pp.39-72

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001327189

pISSN:

2651-4206

Anahtar kelimeler:

Özet:

 Anadolu Universitys Open Education System OES accommodates over one million students and has incorporated an AI-based Virtual Assistant for non-academic support since 2022. While OES offers abundant information about its programs on its website, there is a notable absence of support services providing job recommendations related to students chosen programs. This gap in student support extends to the post-graduation phase, with the Virtual Assistant lacking a concept for guiding students in finding employment opportunities. Recognizing the need for comprehensive assistance, this study sought to leverage AI capabilities to offer job recommendations by extracting information from the objectives of 63 OES programs. The initial inquiry involved requesting AI-generated job recommendations based on the stated objectives of these programs. Subsequently, the Virtual Assistant was tasked with providing insights into the occupation fields associated with OES programs. Analysis of the AIs responses, along with the classification of occupations according to the International Standards of Classifications of Occupations ISCO and the International Standard Classification of Education ISCED, forms the core of this study. Contrary to trends observed in most European countries, the predominant number of graduates in Türkiye emerges from business and management fields. However, the correlation between graduation rates and subsequent job placements appears suboptimal within the labor force and employment landscape. The study advocates for the integration of AI in offering job recommendations, incorporating graduation and employment rates. This approach enables students to seek guidance on suitable programs aligned with their skills, fostering a more informed decision-making process. The study underscores the potential for higher education institutes to share employment and labor force data.

 Anadolu Universitys Open Education System OES accommodates over one million students and has incorporated an AI-based Virtual Assistant for non-academic support since 2022. While OES offers abundant information about its programs on its website, there is a notable absence of support services providing job recommendations related to students chosen programs. This gap in student support extends to the post-graduation phase, with the Virtual Assistant lacking a concept for guiding students in finding employment opportunities. Recognizing the need for comprehensive assistance, this study sought to leverage AI capabilities to offer job recommendations by extracting information from the objectives of 63 OES programs. The initial inquiry involved requesting AI-generated job recommendations based on the stated objectives of these programs. Subsequently, the Virtual Assistant was tasked with providing insights into the occupation fields associated with OES programs. Analysis of the AIs responses, along with the classification of occupations according to the International Standards of Classifications of Occupations ISCO and the International Standard Classification of Education ISCED, forms the core of this study. Contrary to trends observed in most European countries, the predominant number of graduates in Türkiye emerges from business and management fields. However, the correlation between graduation rates and subsequent job placements appears suboptimal within the labor force and employment landscape. The study advocates for the integration of AI in offering job recommendations, incorporating graduation and employment rates. This approach enables students to seek guidance on suitable programs aligned with their skills, fostering a more informed decision-making process. The study underscores the potential for higher education institutes to share employment and labor force data.

 Anadolu Universitys Open Education System OES accommodates over one million students and has incorporated an AI-based Virtual Assistant for non-academic support since 2022. While OES offers abundant information about its programs on its website, there is a notable absence of support services providing job recommendations related to students chosen programs. This gap in student support extends to the post-graduation phase, with the Virtual Assistant lacking a concept for guiding students in finding employment opportunities. Recognizing the need for comprehensive assistance, this study sought to leverage AI capabilities to offer job recommendations by extracting information from the objectives of 63 OES programs. The initial inquiry involved requesting AI-generated job recommendations based on the stated objectives of these programs. Subsequently, the Virtual Assistant was tasked with providing insights into the occupation fields associated with OES programs. Analysis of the AIs responses, along with the classification of occupations according to the International Standards of Classifications of Occupations ISCO and the International Standard Classification of Education ISCED, forms the core of this study. Contrary to trends observed in most European countries, the predominant number of graduates in Türkiye emerges from business and management fields. However, the correlation between graduation rates and subsequent job placements appears suboptimal within the labor force and employment landscape. The study advocates for the integration of AI in offering job recommendations, incorporating graduation and employment rates. This approach enables students to seek guidance on suitable programs aligned with their skills, fostering a more informed decision-making process. The study underscores the potential for higher education institutes to share employment and labor force data.

 Anadolu Universitys Open Education System OES accommodates over one million students and has incorporated an AI-based Virtual Assistant for non-academic support since 2022. While OES offers abundant information about its programs on its website, there is a notable absence of support services providing job recommendations related to students chosen programs. This gap in student support extends to the post-graduation phase, with the Virtual Assistant lacking a concept for guiding students in finding employment opportunities. Recognizing the need for comprehensive assistance, this study sought to leverage AI capabilities to offer job recommendations by extracting information from the objectives of 63 OES programs. The initial inquiry involved requesting AI-generated job recommendations based on the stated objectives of these programs. Subsequently, the Virtual Assistant was tasked with providing insights into the occupation fields associated with OES programs. Analysis of the AIs responses, along with the classification of occupations according to the International Standards of Classifications of Occupations ISCO and the International Standard Classification of Education ISCED, forms the core of this study. Contrary to trends observed in most European countries, the predominant number of graduates in Türkiye emerges from business and management fields. However, the correlation between graduation rates and subsequent job placements appears suboptimal within the labor force and employment landscape. The study advocates for the integration of AI in offering job recommendations, incorporating graduation and employment rates. This approach enables students to seek guidance on suitable programs aligned with their skills, fostering a more informed decision-making process. The study underscores the potential for higher education institutes to share employment and labor force data.

Makale detayları

Examining Occupation Fields of Programs According to Artificial Intelligence: Anadolu University Open Education System Case

Yazarlar:

Sefa Emre Öncü | İrfan Süral

Yayıncı:

Eskişehir Osmangazi University

Ana Başlıklar:

Higher Education Management

Dergi:

Osmangazi Journal of Educational Research Vol.11 Issue 1, pp.39-72

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001327189

pISSN:

2651-4206

Higher Education

Open Education

Student Support

Artificial Intelligence

Sayı

Makale detayları

Examining Occupation Fields of Programs According to Artificial Intelligence: Anadolu University Open Education System Case

Yazarlar: Sefa Emre Öncü | İrfan Süral

Yayıncı: Eskişehir Osmangazi University

Ana Başlıklar: Higher Education Management

Dergi: Osmangazi Journal of Educational Research Vol.11 Issue 1, pp.39-72

Belge Tipi: Makale

Yayın Tarihi: 9/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001327189

pISSN: 2651-4206

Higher Education

Open Education

Student Support

Artificial Intelligence

Sayı

Yazarlar:

Sefa Emre Öncü | İrfan Süral

Yayıncı:

Eskişehir Osmangazi University

Ana Başlıklar:

Higher Education Management

Dergi:

Osmangazi Journal of Educational Research Vol.11 Issue 1, pp.39-72

Belge Tipi:

Makale

Yayın Tarihi:

9/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001327189

pISSN:

2651-4206