Integration of ict in the teaching of unit operations: diagnosis with Pareto, Ishikawa, and Histograms under the DigCompEdu framework

Authors

  • Mirna Geraldine Cevallos Mina Facultad de Ingenierías, Universidad Técnica "Luis Vargas Torres" de Esmeraldas (UTLVTE), Esmeraldas, Ecuador
  • José Gilberto Argandoña Moreira Facultad de Ingenierías, Universidad Técnica "Luis Vargas Torres" de Esmeraldas (UTLVTE), Esmeraldas, Ecuador
  • Betsy Katherine Cambindo Quiñonez Facultad de Ingenierías, Universidad Técnica "Luis Vargas Torres" de Esmeraldas (UTLVTE), Esmeraldas, Ecuador
  • Xavier Leopoldo Gracia Cervantes Facultad de Ingenierías, Universidad Técnica "Luis Vargas Torres" de Esmeraldas (UTLVTE), Esmeraldas, Ecuador

Keywords:

Unit Operations; ICT integration; DigCompEdu; quality control; teacher digital competence; Chemical Engineering; engineering education; process simulators.

Abstract

The shift toward digitally intensive engineering education poses unprecedented challenges in high-density conceptual subjects such as Unit Operations (UO). In Latin American higher education contexts, the effective incorporation of information and communication technologies (ICT) into these curricular spaces is hindered by structural constraints that go beyond individual teacher initiative. This paper proposes and validates a diagnostic methodology that combines three statistical process control instruments—Pareto Diagram, Ishikawa Diagram, and Frequency Histograms—with the European DigCompEdu digital competence framework for educators, with the aim of systematically evaluating the barriers that limit ICT integration in UO instruction across Chemical Engineering programs. The methodology is applied to empirical evidence drawn from a systematic literature review (2018-2024, n = 48 primary studies) and a multi-site case study conducted in five accredited Chemical Engineering programs in Ecuadorian higher education institutions (n = 112 teachers, n = 843 students). Pareto analysis reveals that four deficiency categories concentrate 78.6% of total non-conformities: absence of specialized simulator licenses (24.2%), critically obsolete computing equipment (21.7%), insufficient teacher pedagogical digital competence (19.2%), and lack of ICT methodology integrated into the syllabus (13.5%). The Ishikawa model identifies the absence of an institutional ICT policy as a transversal second-order root cause. Histograms show that 61.6% of UO teachers are at DigCompEdu levels A1-A2 (mean = 2.4/6.0), with a moderate-high positive correlation with student academic performance (r = 0.58, p < 0.01). Implications for curriculum design, continuous teacher professional development, and technology policy management in regional Chemical Engineering programs are discussed.

References

Asprion, N., Bortz, M., Gong, C. H., & Zimmermann, B. (2022). Process simulation tools in chemical engineering education: A systematic review of learning outcomes and pedagogical integration (2010-2022). Computers & Chemical Engineering, 162, 107821. https://doi.org/10.1016/j.compchemeng.2022.107821

Basilotta-Gómez-Pablos, V., Matarranz, M., Casado-Aranda, L. A., & Otto, A. (2022). Teachers' digital competencies in higher education: A systematic literature review. International Journal of Educational Technology in Higher Education, 19(1), 8. https://doi.org/10.1186/s41239-021-00286-6

Caena, F., & Redecker, C. (2019). Aligning teacher competence frameworks to 21st century challenges: The case for the European Digital Competence Framework for Educators (DigCompEdu). European Journal of Education, 54(3), 356-369. https://doi.org/10.1111/ejed.12345

Cabero-Almenara, J., Romero-Tena, R., & Palacios-Rodríguez, A. (2021). Evaluation of teacher digital competence frameworks through expert judgement: The DigCompEdu case. Journal of New Approaches in Educational Research, 10(2), 269-283. https://doi.org/10.7821/naer.2021.7.711

Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2.ª ed.). Lawrence Erlbaum Associates.

Cohen, W. M., & Levinthal, D. A. (1990). Absorptive capacity: A new perspective on learning and innovation. Administrative Science Quarterly, 35(1), 128-152. https://doi.org/10.2307/2393553

Coll, C., Rochera, M. J., & de Gispert, I. (2020). Technology-mediated collaborative learning environments in higher education: Conditions, limits and potentials. Innovations in Education and Teaching International, 57(4), 381-391. https://doi.org/10.1080/14703297.2020.1792073

Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (3.ª ed.). SAGE Publications.

Dahmen, M., Adler, L., & Mitsos, A. (2020). Simulation-based optimization in chemical process engineering: State of the art and future challenges. Computers & Chemical Engineering, 140, 106893. https://doi.org/10.1016/j.compchemeng.2020.106893

Deming, W. E. (1986). Out of the crisis. MIT Press.

Ertmer, P. A., Ottenbreit-Leftwich, A. T., Sadik, O., Sendurur, E., & Sendurur, P. (2012). Teacher beliefs and technology integration practices: A critical relationship. Computers & Education, 59(2), 423-435. https://doi.org/10.1016/j.compedu.2012.02.001

Fernández-Batanero, J. M., Montenegro-Rueda, M., Fernández-Cerero, J., & García-Martínez, I. (2022). Digital competences for teacher professional development: A systematic review. European Journal of Teacher Education, 45(4), 513-531. https://doi.org/10.1080/02619768.2020.1827389

Frausto-Márquez, L., Molina-Gutiérrez, M. A., & Torres-Rodríguez, C. A. (2023). Integration of process simulation software in chemical engineering education: Challenges and opportunities in Latin American universities. Education for Chemical Engineers, 44, 65-77. https://doi.org/10.1016/j.ece.2023.04.003

ISO. (2015). ISO 9001:2015 — Quality management systems: Requirements. International Organization for Standardization.

Ishikawa, K. (1985). What is total quality control? The Japanese way. Prentice-Hall.

Juran, J. M., & Godfrey, A. B. (1999). Juran's quality handbook (5.ª ed.). McGraw-Hill.

Little, A. D. (1915). Report on the MIT Department of Chemistry and Chemical Engineering. Massachusetts Institute of Technology.

McCabe, W. L., Smith, J. C., & Harriott, P. (2005). Unit operations of chemical engineering (7.ª ed.). McGraw-Hill.

Mourtzis, D., Angelopoulos, J., & Panopoulos, N. (2022). The future of engineering education in the era of Industry 4.0: A systematic literature review. Procedia CIRP, 112, 107-112. https://doi.org/10.1016/j.procir.2022.09.077

Psomas, E., & Antony, J. (2017). Total quality management elements and results in higher education institutions. Quality Assurance in Education, 25(2), 206-223. https://doi.org/10.1108/QAE-08-2015-0033

Redecker, C. (2017). European framework for the digital competence of educators: DigCompEdu. Publications Office of the European Union. https://doi.org/10.2760/159770

Redecker, C., & Punie, Y. (2017). Digital competence of educators: DigCompEdu. JRC Science for Policy Report EUR 28775. Joint Research Centre of the European Commission.

Sallis, E. (2014). Total quality management in education (3.ª ed.). Routledge.

Sánchez-Prieto, J. C., Trujillo-Torres, J. M., Gómez-García, M., & Hinojo-Lucena, F. J. (2023). DigCompEdu in Latin America: Adaptation and validation of the digital competence framework for educators in higher education contexts. Education and Information Technologies, 28, 2041-2062. https://doi.org/10.1007/s10639-022-11154-8

Schwab, K. (2017). The fourth industrial revolution. Crown Business.

Tam, M. (2021). Quality management in higher education: Concepts, models and implementation. Palgrave Macmillan.

Vázquez-González, G., García-Herrero, J., & López-Aguilar, D. (2024). Simulation-based learning in chemical engineering: Impact on conceptual understanding, design competencies and academic achievement. Chemical Engineering Education, 58(1), 45-58. https://doi.org/10.18260/2-1-370.660-135226

Wankat, P. C. (2017). Separation process engineering: Includes mass transfer analysis (4.ª ed.). Prentice Hall.

Published

2026-04-29

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