Modeling the influence of AI dependence to research productivity among STEM undergraduate students: case of a state university in the Philippines

STEM fields—Science, Technology, Engineering, and Mathematics—play crucial roles in advancing knowledge, driving innovation, and addressing challenges by means of several mechanisms including research. Consequently, STEM curricula in higher education institutions prepare undergraduate students takin...

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Main Authors: John Manuel Buniel, Juancho Intano, Odinah Cuartero, Kenny John Grustan, Roey Sumaoy, Noel Reyes, Jose Calipayan, Rhodora Arreo, Dione Duero, Ivilyn Rosil, Shypres Agustin, Trisha Jane Diron, Raiya Jocella Pingol, Jean Vanessa Sapuras, Kimberly Miranda, Jesseca Julve, Marinel Josol, Kyla Rita Mercado, Liziel Latoja, Jasmine Cubillan, Pearl A. J. Fallado, Elvie Lyka Duran, Francis Isidore Ambray, Myriflor Miranda, Fae Mylene Etchon, Mia Melody Ramoso, Jehu Roeh Rubenial, Franklin Ganancias, Loth Orozco, Joel Gracia, Necie Notado, Geraldine Darao, Sylvester Cortes
Format: Article
Language:English
Published: Frontiers Media S.A. 2025-04-01
Series:Frontiers in Education
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Online Access:https://www.frontiersin.org/articles/10.3389/feduc.2025.1535466/full
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author John Manuel Buniel
Juancho Intano
Odinah Cuartero
Kenny John Grustan
Roey Sumaoy
Noel Reyes
Jose Calipayan
Rhodora Arreo
Dione Duero
Ivilyn Rosil
Shypres Agustin
Trisha Jane Diron
Raiya Jocella Pingol
Jean Vanessa Sapuras
Kimberly Miranda
Jesseca Julve
Marinel Josol
Kyla Rita Mercado
Liziel Latoja
Jasmine Cubillan
Pearl A. J. Fallado
Elvie Lyka Duran
Francis Isidore Ambray
Myriflor Miranda
Fae Mylene Etchon
Mia Melody Ramoso
Jehu Roeh Rubenial
Franklin Ganancias
Loth Orozco
Joel Gracia
Necie Notado
Geraldine Darao
Sylvester Cortes
author_facet John Manuel Buniel
Juancho Intano
Odinah Cuartero
Kenny John Grustan
Roey Sumaoy
Noel Reyes
Jose Calipayan
Rhodora Arreo
Dione Duero
Ivilyn Rosil
Shypres Agustin
Trisha Jane Diron
Raiya Jocella Pingol
Jean Vanessa Sapuras
Kimberly Miranda
Jesseca Julve
Marinel Josol
Kyla Rita Mercado
Liziel Latoja
Jasmine Cubillan
Pearl A. J. Fallado
Elvie Lyka Duran
Francis Isidore Ambray
Myriflor Miranda
Fae Mylene Etchon
Mia Melody Ramoso
Jehu Roeh Rubenial
Franklin Ganancias
Loth Orozco
Joel Gracia
Necie Notado
Geraldine Darao
Sylvester Cortes
author_sort John Manuel Buniel
collection DOAJ
description STEM fields—Science, Technology, Engineering, and Mathematics—play crucial roles in advancing knowledge, driving innovation, and addressing challenges by means of several mechanisms including research. Consequently, STEM curricula in higher education institutions prepare undergraduate students taking these fields to engage and produce quality research outputs in preparation for their future careers or roles. The advent of several educational resources help these students to perform research-related tasks including artificial intelligence. Although AI use is viewed as inappropriate in doing scholarly works due to concerns about academic integrity and the fear of losing essential cognitive skills, the growing AI dependence among STEM undergraduate students is inevitable. In this regard, the present study seeks to empirically investigate the influence AI dependence toward students’ research productivity, and the mediating roles of research skills, disposition, and self-efficacy. Through literature review, a structural model was proposed and validated. Initially, a research instrument was developed reflective of the constructs present in the structural model where items were also generated using literature review. Eventually, an online survey was conducted and recorded 834 valid responses from STEM undergraduate students. Results revealed that from seven hypotheses proposed in the structural model, six are supported except the causal path between AI dependence and research productivity. The paths between AI dependence to research skills, dispositions, and self-efficacy are supported as well as the paths between these three to research productivity. This indicates the mediation of research skills, dispositions, and self-efficacy between the causal path linking AI dependence to research productivity. The findings of this study imply that strategic integration of AI resources may foster not only skills development but also research motivation and confidence, which together could enhance students’ overall research productivity in STEM fields.
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spelling doaj-art-b65e6756f0df47d5a12d26953b6fb81f2025-08-20T03:10:21ZengFrontiers Media S.A.Frontiers in Education2504-284X2025-04-011010.3389/feduc.2025.15354661535466Modeling the influence of AI dependence to research productivity among STEM undergraduate students: case of a state university in the PhilippinesJohn Manuel Buniel0Juancho Intano1Odinah Cuartero2Kenny John Grustan3Roey Sumaoy4Noel Reyes5Jose Calipayan6Rhodora Arreo7Dione Duero8Ivilyn Rosil9Shypres Agustin10Trisha Jane Diron11Raiya Jocella Pingol12Jean Vanessa Sapuras13Kimberly Miranda14Jesseca Julve15Marinel Josol16Kyla Rita Mercado17Liziel Latoja18Jasmine Cubillan19Pearl A. J. Fallado20Elvie Lyka Duran21Francis Isidore Ambray22Myriflor Miranda23Fae Mylene Etchon24Mia Melody Ramoso25Jehu Roeh Rubenial26Franklin Ganancias27Loth Orozco28Joel Gracia29Necie Notado30Geraldine Darao31Sylvester Cortes32North Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesNorth Eastern Mindanao State University, Tandag, PhilippinesCebu Technological University, Cebu City, PhilippinesSTEM fields—Science, Technology, Engineering, and Mathematics—play crucial roles in advancing knowledge, driving innovation, and addressing challenges by means of several mechanisms including research. Consequently, STEM curricula in higher education institutions prepare undergraduate students taking these fields to engage and produce quality research outputs in preparation for their future careers or roles. The advent of several educational resources help these students to perform research-related tasks including artificial intelligence. Although AI use is viewed as inappropriate in doing scholarly works due to concerns about academic integrity and the fear of losing essential cognitive skills, the growing AI dependence among STEM undergraduate students is inevitable. In this regard, the present study seeks to empirically investigate the influence AI dependence toward students’ research productivity, and the mediating roles of research skills, disposition, and self-efficacy. Through literature review, a structural model was proposed and validated. Initially, a research instrument was developed reflective of the constructs present in the structural model where items were also generated using literature review. Eventually, an online survey was conducted and recorded 834 valid responses from STEM undergraduate students. Results revealed that from seven hypotheses proposed in the structural model, six are supported except the causal path between AI dependence and research productivity. The paths between AI dependence to research skills, dispositions, and self-efficacy are supported as well as the paths between these three to research productivity. This indicates the mediation of research skills, dispositions, and self-efficacy between the causal path linking AI dependence to research productivity. The findings of this study imply that strategic integration of AI resources may foster not only skills development but also research motivation and confidence, which together could enhance students’ overall research productivity in STEM fields.https://www.frontiersin.org/articles/10.3389/feduc.2025.1535466/fullscience education trendsAI in higher educationeducational technologystudent research behaviordigital literacy
spellingShingle John Manuel Buniel
Juancho Intano
Odinah Cuartero
Kenny John Grustan
Roey Sumaoy
Noel Reyes
Jose Calipayan
Rhodora Arreo
Dione Duero
Ivilyn Rosil
Shypres Agustin
Trisha Jane Diron
Raiya Jocella Pingol
Jean Vanessa Sapuras
Kimberly Miranda
Jesseca Julve
Marinel Josol
Kyla Rita Mercado
Liziel Latoja
Jasmine Cubillan
Pearl A. J. Fallado
Elvie Lyka Duran
Francis Isidore Ambray
Myriflor Miranda
Fae Mylene Etchon
Mia Melody Ramoso
Jehu Roeh Rubenial
Franklin Ganancias
Loth Orozco
Joel Gracia
Necie Notado
Geraldine Darao
Sylvester Cortes
Modeling the influence of AI dependence to research productivity among STEM undergraduate students: case of a state university in the Philippines
Frontiers in Education
science education trends
AI in higher education
educational technology
student research behavior
digital literacy
title Modeling the influence of AI dependence to research productivity among STEM undergraduate students: case of a state university in the Philippines
title_full Modeling the influence of AI dependence to research productivity among STEM undergraduate students: case of a state university in the Philippines
title_fullStr Modeling the influence of AI dependence to research productivity among STEM undergraduate students: case of a state university in the Philippines
title_full_unstemmed Modeling the influence of AI dependence to research productivity among STEM undergraduate students: case of a state university in the Philippines
title_short Modeling the influence of AI dependence to research productivity among STEM undergraduate students: case of a state university in the Philippines
title_sort modeling the influence of ai dependence to research productivity among stem undergraduate students case of a state university in the philippines
topic science education trends
AI in higher education
educational technology
student research behavior
digital literacy
url https://www.frontiersin.org/articles/10.3389/feduc.2025.1535466/full
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