Information Technologies that Help Improve Academic Performance, A Review of the Literature

Gordillo-Tenorio, Willy; Meléndez-Flores, Cristhian; Sierra-Liñan, Fernando; Cabanillas-Carbonell, Michael

doi:10.3991/ijet.v18i04.34821

Cited by 5 publications

(3 citation statements)

References 41 publications

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“…Similarly, studies such as those referenced in [37][38][39] have found that educational innovation is crucial in the educational process. It has enabled students in the field of mathematics to achieve better results and a deeper understanding of the topics when taught in an innovative and participatory manner.…”

Section: Discussionmentioning

confidence: 94%

Effect of Virtual Education on Academic Performance Generated by COVID-19

Rubio-Rodríguez,

Flórez Guzmán,

Palma-Cardoso

et al. 2024

Int. J. Interact. Mob. Technol.

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The aim of this research is to analyze the impact of implementing virtual education on the academic performance of primary and secondary school students in a private school in Ibagué, Colombia, during the COVID-19 pandemic crisis. The survey was administered to 183 parents and nine teachers at the school as a data collection technique for the study. The research results revealed that the school maintained its quality in conducting virtual classes at the elementary and high school levels. Similarly, the students’ performance was maintained compared to the previous year of the pandemic. As a conclusion, it has been determined that the school directors’ implementation of the virtual education model and the capabilities of the teaching staff were successful in maintaining the quality of education during the pandemic.

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Section: Discussionmentioning

confidence: 94%

Effect of Virtual Education on Academic Performance Generated by COVID-19

Rubio-Rodríguez,

Flórez Guzmán,

Palma-Cardoso

et al. 2024

Int. J. Interact. Mob. Technol.

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“…In delving deeper into the subject, it is crucial to reference a range of authoritative works. [11] conducted a systematic review of AI applications in Latin American higher education, offering insights into regional challenges. [12] emphasizes the proactive use of AI for monitoring student performance.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Broad Impact of AI Technologies on Student Engagement and Academic Performance in University Settings in Afghanistan

Fazil,

Hakimi,

Shahidzay

et al. 2024

RIGGS

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This article explores the pivotal intersection of Artificial Intelligence (AI), student engagement, and academic performance in higher education, specifically at Kabul University. As technology evolves, understanding AI's implications on education becomes critical for effective pedagogical strategies and student readiness. The research aims to bridge the gap between technological advancements and educational practices, comprehensively investigating AI's impact on student engagement and academic performance. The study addresses awareness, ethical considerations, autonomy perceptions, and AI integration into curricula. Employing a quantitative approach, the study involves 200 students from various Kabul University faculties, utilizing SPSS version 23 for analysis. Regression analyses, ANOVA, and structured questionnaires allow a nuanced exploration of AI engagement dimensions. Key findings indicate commendable AI awareness in students' daily lives, with room for improvement in academic integration. Ethical considerations emphasize a baseline for ethical AI use. Autonomy perceptions and AI tool engagement reveal nuanced layers, emphasizing a holistic AI education approach. In conclusion, this research advocates a balanced AI integration in education, offering implications for pedagogical strategies, curriculum development, and institutional policies. The findings guide educators, policymakers, and institutions in navigating AI-enhanced learning environments, ensuring students' technological literacy and ethical grounding.

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“…These AI tools are being used to provide students with personalized instruction, immediate feedback, and targeted practice [8]. This can help students learn at a faster pace and better understand the concepts they are learning [9,10].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence in Higher Education: A Predictive Model for Academic Performance

Pacheco-Mendoza,

Guevara,

Mayorga-Albán

et al. 2023

Education Sciences

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This research work evaluates the use of artificial intelligence and its impact on student’s academic performance at the University of Guayaquil (UG). The objective was to design and implement a predictive model to predict academic performance to anticipate student performance. This research presents a quantitative, non-experimental, projective, and predictive approach. A questionnaire was developed with the factors involved in academic performance, and the criterion of expert judgment was used to validate the questionnaire. The questionnaire and the Google Forms platform were used for data collection. In total, 1100 copies of the questionnaire were distributed, and 1012 responses were received, representing a response rate of 92%. The prediction model was designed in Gretl software, and the model fit was performed considering the mean square error (0.26), the mean absolute error (0.16), and a coefficient of determination of 0.9075. The results show the statistical significance of age, hours, days, and AI-based tools or applications, presenting p-values < 0.001 and positive coefficients close to zero, demonstrating a significant and direct effect on students’ academic performance. It was concluded that it is possible to implement a predictive model with theoretical support to adapt the variables based on artificial intelligence, thus generating an artificial intelligence-based mode.

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Information Technologies that Help Improve Academic Performance, A Review of the Literature

Cited by 5 publications

References 41 publications

Effect of Virtual Education on Academic Performance Generated by COVID-19

Effect of Virtual Education on Academic Performance Generated by COVID-19

Exploring the Broad Impact of AI Technologies on Student Engagement and Academic Performance in University Settings in Afghanistan

Artificial Intelligence in Higher Education: A Predictive Model for Academic Performance

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