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Our community matters: An analysis of the students' and parents' emotions in the midst of COVID-19 pandemic.

, , , , , , и . FIE, стр. 1-7. IEEE, (2022)

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Alfredo Estanislao Ramírez Zuñiga

Rodrigo Alberto Rocamora Zuñiga

Maria Rosario Zuñiga Yoshida

Stephanie Camacho

Raul Zuniga

 

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Building a Truly Inclusive Protocol for Students with Disabilities from an Experience in STEM areas., , , и . EDUCON, стр. 189-193. IEEE, (2021)An analysis of the students' evaluation of professors' competencies in the light of professors' gender., , , , и . FIE, стр. 1-7. IEEE, (2022)Towards teaching analytics: a contextual model for analysis of students' evaluation of teaching through text mining and machine learning classification., , , , , и . Educ. Inf. Technol., 27 (3): 3891-3933 (2022)Students' evaluations of teachers and recommendation based on course structure or teaching approaches: An empirical study based on the institutional dataset of student opinion survey., , , , , , , , и . Educ. Inf. Technol., 27 (9): 12049-12064 (2022)EDU Movies: using fiction movies for student-centered learning., , , и . EDUCON, стр. 663-669. IEEE, (2022)Data Mining and Analysis of NLP Methods in Students Evaluation of Teaching., , , и . MICAI (2), том 14392 из Lecture Notes in Computer Science, стр. 28-38. Springer, (2023)Undergraduates' Recommendations to Create Successful Audiovisual Content for Teaching., , и . TALE, стр. 466-471. IEEE, (2022)Our community matters: An analysis of the students' and parents' emotions in the midst of COVID-19 pandemic., , , , , , и . FIE, стр. 1-7. IEEE, (2022)Undergraduates' Perceptions of Mathematics Learning Through Contextualized Problems in Professional Practice: Comparative Analysis of Traditional Qualitative and Data Mining Techniques., , , , и . EDUCON, стр. 1-5. IEEE, (2023)