TY - JOUR
T1 - Personalized tutoring
T2 - ChatGPT as a virtual tutor for personalized learning experiences
AU - Limo, Fernando Antonio Flores
AU - Tiza, David Raul Hurtado
AU - Roque, Maribel Mamani
AU - Herrera, Edward Espinoza
AU - Murillo, José Patricio Muñoz
AU - Huallpa, Jorge Jinchuña
AU - Flores, Victor Andre Ariza
AU - Castillo, Alejandro Guadalupe Rincón
AU - Peña, Percy Fritz Puga
AU - Carranza, Christian Paolo Martel
AU - Gonzáles, José Luis Arias
N1 - Publisher Copyright:
© 2023, Oxbridge Publishing House. All rights reserved.
PY - 2023
Y1 - 2023
N2 - This study aimed to ascertain what factors influence the length of time undergraduates receive individual tutoring. Quantitative questionnaires with Likert scale items gathered data on perception, satisfaction, engagement, self-confidence, preference for individualized instruction and participation in decision-making. The sample consisted of 247 University of Lima students. Among the quantitative methods used to examine the data were reliability and validity tests, correlations, analysis of variance, and regression. In tests of reliability, all variables exhibited fair to excellent internal consistency. The results disclosed several significant statistics that shed light on the variables that influence the duration of personalized tutoring. 68.8 percent of participants reported using ChatGPT for personalized tutoring, while 31.2 percent did not. The majority of students utilized personalized tutoring for two to five semesters. Regarding gender, males comprised a larger proportion of the sample (62.3% versus 37.7%) than females. Several recommendations can be made based on these findings. Priority number one is increasing user satisfaction through more efficient and effective individualized tutoring sessions. It can increase student engagement by utilizing multimedia and interactive teaching aids. The study emphasizes the significance of attending to the emotional and psychological aspects of individualized tutoring to enhance student experiences and outcomes.
AB - This study aimed to ascertain what factors influence the length of time undergraduates receive individual tutoring. Quantitative questionnaires with Likert scale items gathered data on perception, satisfaction, engagement, self-confidence, preference for individualized instruction and participation in decision-making. The sample consisted of 247 University of Lima students. Among the quantitative methods used to examine the data were reliability and validity tests, correlations, analysis of variance, and regression. In tests of reliability, all variables exhibited fair to excellent internal consistency. The results disclosed several significant statistics that shed light on the variables that influence the duration of personalized tutoring. 68.8 percent of participants reported using ChatGPT for personalized tutoring, while 31.2 percent did not. The majority of students utilized personalized tutoring for two to five semesters. Regarding gender, males comprised a larger proportion of the sample (62.3% versus 37.7%) than females. Several recommendations can be made based on these findings. Priority number one is increasing user satisfaction through more efficient and effective individualized tutoring sessions. It can increase student engagement by utilizing multimedia and interactive teaching aids. The study emphasizes the significance of attending to the emotional and psychological aspects of individualized tutoring to enhance student experiences and outcomes.
KW - Artificial Intelligence
KW - ChatGPT
KW - Education
KW - Students
KW - Tutor
UR - http://www.scopus.com/inward/record.url?scp=85162122474&partnerID=8YFLogxK
M3 - Article
AN - SCOPUS:85162122474
SN - 2084-7696
VL - 23
SP - 292
EP - 312
JO - Przestrzen Spoleczna
JF - Przestrzen Spoleczna
IS - 1
ER -