Projection of e-learning in higher educationa study of its scientific production in web of science

  1. Jesús López-Belmonte 1
  2. Adrián Segura-Robles 2
  3. Antonio-José Moreno-Guerrero 1
  4. María-Elena Parra-González 2
  1. 1 Department of Didactics and School Organization, University of Granada
  2. 2 Department of Research Methods and Diagnosis in Education, University of Granada
Revista:
EJIHPE: European Journal of Investigation in Health, Psychology and Education

ISSN: 2174-8144,  2254-9625

Año de publicación: 2021

Volumen: 11

Número: 1

Páginas: 20-32

Tipo: Artículo

DOI: 10.3390/EJIHPE11010003 DIALNET GOOGLE SCHOLAR lock_openDialnet editor

Otras publicaciones en: EJIHPE: European Journal of Investigation in Health, Psychology and Education

Resumen

E-learning is conceived as a purely virtual training approach. Different learning styles have been proliferated in recent years, especially now, due to the impact of COVID-19 in the educational field. The aim of this study is to discover the evolution of e-learning in higher education (ELHI) in scientific literature indexed on the Web of Science. Co-word analysis and bibliometric analysis was performed. A total matrix of 1261 documents was analyzed through SciMAT software. The results revealed that studies on ELHI are written in English and presented by conference papers. The main source of publication for the conferences is EDULEARN proceedings, while the journal source is Procedia-Social and Behavioral Sciences. Spain is the country with the highest volume of production. It is concluded that research on ELHI use does not have an established line of research, due to its recent creation and the lack of related research. The bibliometric analysis specifies that the research is oriented towards knowing the level of acceptance and application of the pedagogical method in the teaching and learning processes.

Referencias bibliográficas

  • Alqudah, N.M.; Jammal, H.M.; Saleh, O.; Khader, Y.; Obeidat, N.; Alqudah, J. Perception and experience of academic Jordanian ophthalmologists with E-Learning for undergraduate course during the COVID-19 pandemic. Ann. Med. Surg. 2020, 59, 44–47.
  • Avitia, P.; Uriarte, I. Evaluación de la habilidad digital de los estudiantes universitarios: Estado de ingreso y potencial educativo. EDUTEC Rev. Electrónica Tecnol. Educ. 2017, 61, 1–13.
  • Bhuasiri, W.; Xaymoungkhoun, O.; Zo, H.; Rho, J.J.; Ciganek, A.P. Critical success factors for e-learning in developing countries: A comparative analysis between ICT experts and faculty. Comput. Educ. 2012, 58, 843–855.
  • Brady, K.P.; Holcomb, L.B.; Smith, B.V. The Use of Alternative Social Networking Sites in Higher Educational Settings: A Case Study of the E-Learning Benefits of Ning in Education. J. Interact. Online Learn. 2010, 9, 151–170.
  • Campos, M.N.; Moreno-Guerrero, A.J.; Soler, R. Use of Google Drive and Whatsapp for the follow-up and development of the final Master’s Project through m-learning. Turk. Online J. Educ. Technol. 2018, 2, 858–864.
  • Castañeda, L.; Esteve, F.; Adell, J. ¿Por qué es necesario repensar la competencia docente para el mundo digital? RED Rev. Educ. Distancia 2018, 56, 1–20.
  • Cela, J.M.; Esteve-González, V.; Esteve-Mon, F.; González, J.; Gisbert, M. El docente en la sociedad digital: Una propuesta basada en la pedagogía transformativa y en la tecnología avanzada. Profesorado. Rev. Currículum Form. Profr. 2017, 21, 403–422.
  • Cigdem, H.; Topcu, A. Predictors of instructors’ behavioral intention to use learning management system: A Turkish vocational college example. Comput. Hum. Behav. 2015, 52, 22–28.
  • Cobo, M.J.; López, A.G.; Herrera, E.; Herrera, F. Science mapping software tools: Review, analysis, and cooperative study among tools. J. Am. Soc. Inf. Sci. Technol. 2011, 62, 1382–1402.
  • Farhan, W.; Razmak, J.; Demers, S.; Laflamme, S. E-learning systems versus instructional communication tools: Developing and testing a new e-learning user interface from the perspectives of teachers and students. Technol. Soc. 2019, 59, 1–12.
  • Fernández, F.J.; Fernández, M.J.; Rodríguez, J.M. El proceso de integración y uso pedagógico de las TIC en los centros educativos madrileños. Educ. XX1 2018, 21, 395–416.
  • Hirsch, J.E. An index to quantify an individual’s scientific research output. Proc. Natl. Acad. Sci. USA 2005, 102, 16569–16572.
  • Hubalovsky, S.; Hubalovska, M.; Musilek, M. Assessment of the influence of adaptive E-learning on learning effectiveness of primary school pupils. Comput. Hum. Behav. 2019, 92, 691–705.
  • Ibrahim, N.B.; Ibrahim, N.S.; Zukri, S.M.; Yusof, M.S.M.M.; Roslan, N.N. Learners satisfaction of e-learning among public university students: A case study in Kota Bharu. J. Math. Comput. Sci. 2019, 5, 1–7.
  • Jurado, P.; Moreno-Guerrero, A.J.; Marín-Marín, J.A.; Soler, R. The Term Equity in Education: A Literature Review with Scientific Mapping in Web of Science. Int. J. Environ. Res. Public Health 2020, 17, 3526.
  • Khlaisang, J.; Songkram, N. Designing a virtual learning environment system for teaching twenty-first century skills to higher education students in ASEAN. Technol. Knowl. Learn. 2019, 24, 41–63.
  • Kim, H.J.; Hong, A.J.; Song, H.D. The roles of academic engagement and digital readiness in students’ achievements in university e-learning environments. Int. J. Educ. Technol. High. Educ. 2019, 16, 1–18.
  • Klimova, B.; Valis, M.; Kuca, K.; Masopust, J. E-learning as valuable caregivers’ support for people with dementia–A systematic review. BMC Health Serv. Res. 2019, 19, 1–7.
  • Kumar Basak, S.; Wotto, M.; Belanger, P. E-learning, M-learning and D-learning: Conceptual definition and comparative analysis. E-Learn. Digit. Media 2018, 15, 191–216.
  • Lai, J.W.; Bower, M. How is the use of technology in education evaluated? A systematic review. Comput. Educ. 2019, 133, 27–42.
  • Larionova, V.; Brown, K.; Bystrova, T.; Sinitsyn, E. Russian perspectives of online learning technologies in higher education: An empirical study of a MOOC. Res. Comp. Int. Educ. 2018, 13, 70–91.
  • López-Belmonte, J.; Marín-Marín, J.A.; Soler-Costa, R.; Moreno-Guerrero, A.J. Arduino advances in web of science. A Scientific mapping of literary production. IEEE Access 2020, 8, 128674–128682.
  • López-Belmonte, J.; Moreno-Guerrero, A.J.; López-Núñez, J.A.; Pozo-Sánchez, S. Analysis of the Productive, Structural, and Dynamic Development of Augmented Reality in Higher Education Research on the Web of Science. Appl. Sci. 2019, 9, 5306.
  • López-Belmonte, J.; Moreno-Guerrero, A.J.; Pozo-Sánchez, S.; López-Nuñez, J.A. Efecto de la competencia digital docente en el uso del blended learning en formación profesional. Investig. Bibl. Arch. Bibl. Inf. 2020, 34, 187–205.
  • López-Belmonte, J.; Pozo-Sánchez, S.; Vázquez-Cano, E.; López-Meneses, E. Análisis de la incidencia de la edad en la competencia digital del profesorado preuniversitario español. Rev. Fuentes 2020, 22, 86–100.
  • López-Belmonte, J.; Segura-Robles, A.; Fuentes-Cabrera, A.; Parra-González, M.E. Evaluating activation and absence of negative effect: Gamification and Escape Rooms for learning. Int. J. Environ. Res. Public Health 2020, 17, 2224.
  • López-Belmonte, J.; Segura-Robles, A.; Moreno-Guerrero, A.J.; Parra-González, M.E. Machine Learning and Big Data in the Impact Literature. A Bibliometric Review with Scientific Mapping in Web of Science. Symmetry 2020, 12, 495.
  • López-Núñez, J.A.; López-Belmonte, J.; Moreno-Guerrero, A.J.; Marín-Marín, J.A. Dietary Intervention through Flipped Learning as a Techno Pedagogy for the Promotion of Healthy Eating in Secondary Education. Int. J. Environ. Res. Public Health 2020, 17, 3007.
  • Mohammadi, H. Investigating users’ perspectives on e-learning: An integration of TAM and IS success model. Comput. Hum. Behav. 2015, 45, 359–374.
  • Moreno-Guerrero, A.J.; Aznar-Díaz, I.; Cáceres-Reche, P.; Alonso-García, S. E-Learning in the Teaching of Mathematics: An Educational Experience in Adult High School. Mathematics 2020, 8, 840.
  • Moreno-Guerrero, A.J.; López-Belmonte, J.; Marín-Marín, J.A.; Soler-Costa, R. Scientific Development of Educational Artificial Intelligence in Web of Science. Future Internet 2020, 12, 124.
  • Nguyen, Q.L.H.T.T.; Nguyen, P.; Huynh, V.D.B. Roles of e-learning in higher education. J. Crit. Rev. 2019, 6, 7–13.
  • Owusu, C.; Koomson, C.K.; Hanson, D. The impact of Covid-19 on learning-the perspective of the Ghanaian student. Eur. J. Educ. Stud. 2020, 7, 88–101.
  • Ozkan, S.; Koseler, R. Multi-dimensional students’ evaluation of e-learning systems in the higher education context: An empirical investigation. Comput. Educ. 2009, 53, 1285–1296.
  • Park, Y.; Kim, Y. A design and Development of micro-Learning Content in e-Learning System. Int. J. Adv. Sci. Eng. Inf. Technol. 2018, 8, 56–61.
  • Pham, L.; Limbu, Y.B.; Bui, T.K.; Nguyen, H.T.; Pham, H.T. Does e-learning service quality influence e-learning student satisfaction and loyalty? Evidence from Vietnam. Int. J. Educ. Technol. High. Educ. 2019, 16, 1–26.
  • Pozo-Sánchez, S.; López-Belmonte, J.; Moreno-Guerrero, A.J.; Sola-Reche, J.M.; Fuentes-Cabrera, A. Effect of Bring-Your-Own-Device Program on Flipped Learning in Higher Education Students. Sustainability 2020, 12, 3729.
  • Ramos-Morcillo, A.J.; Leal-Costa, C.; Moral-García, J.E.; Ruzafa-Martínez, M. Experiences of nursing students during the abrupt change from face-to-face to e-learning education during the first month of confinement due to COVID-19 in Spain. Int. J. Environ. Res. Public Health 2020, 17, 5519.
  • Rodríguez, A.M.; Trujillo, J.M.; Sánchez, J. Impacto de la productividad científica sobre competencia digital de los futuros docentes: Aproximación bibliométrica en Scopus y Web of Science. Rev. Complut. Educ. 2019, 30, 623–646.
  • Rodríguez-García, A.M.; López-Belmonte, J.; Agreda-Montoro, M.; Moreno-Guerrero, A.J. Productive, Structural and Dynamic Study of the Concept of Sustainability in the Educational Field. Sustainability 2019, 11, 5613.
  • Schmid, R.; Petko, D. Does the use of educational technology in personalized learning environments correlate with self-reported digital skills and beliefs of secondary-school students? Comput. Educ. 2019, 136, 75–86.
  • Tawafak, R.M.; Romli, A.B.; bin Abdullah Arshah, R.; Malik, S.I. Framework design of university communication model (UCOM) to enhance continuous intentions in teaching and e-learning process. Educ. Inf. Technol. 2020, 25, 817–843.
  • Todeschini, R.; Baccini, A. Handbook of Bibliometric Indicators: Quantitative Tools for Studying and Evaluating Research, 1st ed.; Wiley: Weinheim, Germany, 2016; ISBN 978-3-527-33704-0.
  • Uppal, M.A.; Ali, S.; Gulliver, S.R. Factors determining e-learning service quality. Br. J. Educ. Technol. 2018, 49, 412–426.
Fuente de los datos: Dialnet