Analysis of Factors Associated to the Enrollment and Demand of Computing-Related Careers
Abstract
:1. Introduction
2. Methodology
2.1. Type of Study
2.2. Categories of Analysis
2.3. Document Selection Criteria
- The search for papers and books was carried out using mainly the following databases: WoS, Scopus, Science Direct, Scielo, Redalyc, Latindex, IEEE, and Google Academic.
- Several keywords were used in English and Spanish to search for bibliographic references; most of these were combined to obtain more refined results. These words were: “selection factors”, “career”, “engineering”, “perception”, “desertion”, “abandonment”, “motivation”, “computing”, “enrollment”, “information technology”, “informatics”, and “computer sciences”.
- The selection was only from papers published in indexed journals, books of recognized publishers, research centers or prestigious universities.
- The documents mainly cover the period 2013–2018, due to that during this period we found significant references for the subsequent selection and analysis.
- The documents selected addressed some element of the previously established categories for the proposed documentary research.
2.4. Documents Selected for Analysis
2.5. Study Limitations
3. Results
3.1. Category 1. Challenges of the Knowledge Society and Socioformation for Academic University Programs
3.2. Category 2. Pertinence and Demand of Computer Systems Engineering and Trends towards the Future
3.3. Category 3. Factors Associated with the Demand for Engineering Careers
3.4. Category 4. Successful Experiences in Improving Student Enrollment in University Careers
3.5. Category 5. Strategies to Improve Computing-Related Career Enrollment
3.6. Category 6. Quality Perception of Engineering Education Programs
4. Conclusions
Author Contributions
Funding
Conflicts of Interest
References
- Alexander, Patricia Margaret, Marlene Amanda Holmner, Hugo H. Lotriet, Machdel Matthee, Heloise Pieterse, Saloshana Naidoo, Hossana Twinomurinzi, and Danie Jordaan. 2011. Factors Affecting Career Choice: Comparison Between Students from Computer and Other Disciplines. Journal of Science Education and Technology 20: 300–15. [Google Scholar] [CrossRef]
- Alianza FiiDEM, A. C. 2014. Estudio de la Demanda de las Carreras de Ingeniería y de Mejores Prácticas Internacionales sobre Vinculación para la Formación. Available online: https://goo.gl/8R7d7a (accessed on 20 January 2018).
- Alvarado-Lagunas, Elías, José Raúl Luyando-Cuevas, and Esteban Picazzo-Palencia. 2015. Percepción de los estudiantes sobre la calidad de las universidades privadas en Monterrey. Revista Iberoamericana de Educación Superior 6: 58–76. [Google Scholar] [CrossRef]
- Alvarado-Lagunas, Elías, Dionicio Morales-Ramírez, and Ernesto Aguayo-Téllez. 2016. Percepción de la calidad educativa: caso aplicado a estudiantes de la Universidad Autónoma de Nuevo León y del Instituto Tecnológico de Estudios Superiores de Monterrey. Revista de la Educación Superior 45: 55–74. [Google Scholar] [CrossRef]
- Asgill, Austin B., Craig Chin, Florian Misoc, Simin Nasseri, Adimathara Preethy, Scott Tippens, Randall Emert, and Ali Khazaei. 2013. An Interdisciplinary Strategy for Improving Enrollments in ET Programs. Paper presented at 2013 ASEE Annual Conference & Exposition, Atlanta, GA, USA, June 23–26. [Google Scholar]
- Álvarez-Lires, Francisco Javier, Azucena Arias-Correa, José Francisco Serrallé-Marzoa, and Mercedes Varela-Losada. 2014. Elección de Estudios de Ingeniería: Influencia de la Educación Científica y de los Estereotipos de Género en la Autoestima de las Alumnas. Revista de Investigación en Educación 12: 54–72. Available online: https://goo.gl/6tv46E (accessed on 20 January 2018).
- Belanger, France, Tracy Lewis, George Kasper, Wanda Smith, and Vernard Harrington. 2007. Are Computing Students Different? An Analysis of Coping Strategies and Emotional Intelligence. IEEE Transactions on Education 50: 188–96. [Google Scholar] [CrossRef]
- Bernal, César Augusto. 2010. Metodología de la Investigación. Bogotá: Pearson Educación. [Google Scholar]
- Bossart, Jean, and Neelam Bharti. 2018. Ten ways academic libraries can help their departments increase retention of women engineering students. Paper presented at the ASEE Annual Conference and Exposition, Salt Lake City, UT, USA, June 24–27. [Google Scholar]
- Bowman, Nicholas A., Sanga Kim, Laura Ingleby, David Ford, and Christina Sibaouih. 2018. Improving college access at low-income high schools? The impact of GEAR UP iowa on postsecondary enrollment and persistence. Educational Evaluation and Policy Analysis 40: 399–419. [Google Scholar] [CrossRef]
- Burns, Julie Kling. 2002. Opportunities in Computer Careers. New York: McGraw-Hill. [Google Scholar]
- Bussaban, Kanyarat, and Phanu Waraporn. 2015. Preparing Undergraduate Students Majoring in Computer Science and Mathematics with Data Science Perspectives and Awareness in the Age of Big Data. Procedia Social and Behavioral Sciences 197: 1443–46. [Google Scholar] [CrossRef]
- CACEI. 2014. Marco de Referencia para la Acreditación de los Programas de Ingeniería-2014. Available online: https://goo.gl/pKspWe (accessed on 12 May 2018).
- CACEI. 2018. Marco de Referencia 2018 del CACEI en el Contexto Internacional (Ingenierías). Available online: https://goo.gl/3UsgFh (accessed on 12 May 2018).
- Christensen, Rhonda, Gerald Knezek, and Tandra Tyler-Wood. 2014. Student perceptions of Science, Technology, Engineering and Mathematics (STEM) content and careers. Computers in Human Behavior 34: 173–86. [Google Scholar] [CrossRef]
- Chuchalin, Alexander I., Mikhail A. Soloviev, Oxana M. Zamyatina, and Polina I. Mozgaleva. 2013. Elite Engineering Education Programme in Tomsk Polytechnic University—The way to attract talented students into Engineering. Paper presented at IEEE Global Engineering Education Conference (EDUCON), Berlin, Germany, March 13–15; pp. 1004–8. [Google Scholar] [CrossRef]
- Ciolan, Laura, Anca Petrescu, Camelia Radulescu, and Cristian Bucur. 2014. Training Teachers to Use Digital Resources for the Knowledge Society. Procedia Social and Behavioral Sciences 128: 415–19. [Google Scholar] [CrossRef]
- CONAIC. 2013. Marco de Referencia para la Acreditación de Programas Académicos de Informática y Computación. Available online: https://goo.gl/Eaxk9x (accessed on 12 May 2018).
- Contreras, Orlando E., and Ivanhoe Rozo-Rojas. 2015. Teletrabajo y sostenibilidad empresarial. Una reflexión desde la gerencia del talento humano en Colombia. Suma de Negocios 6: 74–83. [Google Scholar] [CrossRef]
- Cozzolino, Elizabeth, Chelsea Smith, and Robert L. Crosnoe. 2018. Family-related Disparities in College Enrollment across the Great Recession. Sociological Perspectives 61: 689–710. [Google Scholar] [CrossRef]
- Dahle, Reena, Lori Jockers, Alicia Scott, and Katherine Wilson. 2018. Major in engineering, minor in art: A new approach to retaining females in engineering. Paper presented at the 2017 IEEE Women in Engineering (WIE) Forum USA East, Baltimore, MD, USA, November 30–December 2. [Google Scholar]
- Declercq, Koen, and Frank Verboven. 2018. Enrollment and degree completion in higher education without admission standards. Economics of Education Review 66: 223–44. [Google Scholar] [CrossRef]
- Del Cid, Alma, Rosemary Méndez, and Franco Sandoval. 2011. Investigación. Fundamentos y metodología. Edo. de México: Pearson Educación. [Google Scholar]
- Estrada-Danell, Rafael Isaac, Román Alberto Zamarripa-Franco, Pilar Giselle Zúñiga-Garay, and Isaías Martínez-Trejo. 2016. Aportaciones desde la minería de datos al proceso de captación de matrícula en instituciones de educación superior particulares. Revista Electrónica Educare 20: 1–21. [Google Scholar] [CrossRef]
- Fernandes, Gustavo Andrey de Almeida Lopes. 2018. The problem of school enrollment rules: What can be changed in the largest city in Brazil. Revista De Administracao Publica 52: 740–52. [Google Scholar] [CrossRef]
- Fillman, Valentina M. 2015. Career interest, self-efficacy, and perception in undecided and nursing undergraduate students: A quantitative study. Nurse Education Today 35: 251–55. [Google Scholar] [CrossRef]
- Gutiérrez-Gómez, Rubén. 1999. La oferta y la demanda de los egresados de la UAEM: hacia otra perspectiva de la elección vocacional. Tiempo de Educar 1: 31–70. [Google Scholar]
- Hernández-Sampieri, Roberto, Carlos Fernández-Collado, and María del Pilar Baptista-Lucio. 2014. Metodología de la investigación. México D.F.: McGraw-Hill. [Google Scholar]
- Hill, Elspeth J. R., Katherine A. Bowman, Renée E. Stalmeijer, Yvette Solomon, and Tim Dornan. 2014. Can I cut it? Medical students’ perceptions of surgeons and surgical careers. The American Journal of Surgery 208: 860–67. [Google Scholar] [CrossRef]
- Hunt, Jennifer. 2016. Why do Women Leave Science and Engineering? ILR Review 69: 199–226. [Google Scholar] [CrossRef]
- Jiang, Suhang, Katerina Schenke, Jacquelynne Sue Eccles, Di Xu, and Mark Warschauer. 2018. Cross-national comparison of gender differences in the enrollment in and completion of science, technology, engineering, and mathematics massive open online courses. PLoS ONE 13: e0202463. [Google Scholar] [CrossRef]
- Kori, Külli, Margus Pedaste, Heilo Altin, Eno Tõnisson, and Tauno Palts. 2016. Factors That Influence Students’ Motivation to Start and to Continue Studying Information Technology in Estonia. IEEE Transactions on Education 59: 255–62. [Google Scholar] [CrossRef]
- Korkmaz, Hunkar. 2015. Factors Influencing Students’ Career Chooses in Science and Technology: Implications for High School Science Curricula. Procedia Social and Behavioral Sciences 197: 966–72. [Google Scholar] [CrossRef]
- Kornienko, Anna. 2015. University Education in the Development of Knowledge-based Society: Network Technologies of Scientific Research and Cyberscience as Factors of Education Professionalization. Procedia Social and Behavioral Sciences 206: 359–64. [Google Scholar] [CrossRef]
- Kozak, Dražan. 2019. Study Programs in STEM Field in Eastern European Countries vs. Brain Drain. In Advances in Manufacturing Engineering and Materials. Edited by Sergej Hloch, Dagmar Klichová, Grzegorz Krolczyk, Somnath Chattopadhyaya and Lucie Ruppenthalová. Lecture Notes in Mechanical Engineering. Cham: Springer. [Google Scholar]
- Kuba, Radim, Jaroslav Flegr, and Jan Havlíček. 2018. The effect of birth order on the probability of university enrolment. Intelligence 70: 61–72. [Google Scholar] [CrossRef]
- Kuhn, Catherine M. 2014. Perceptions and motivations of career selection in anesthesiology: Do medical students want what our specialty needs? Journal of Clinical Anesthesia 26: 89–90. [Google Scholar] [CrossRef] [PubMed]
- Lee, Minji, Kathaleen Starr-Mitchell, Lara Nunes, Michael Black, and Thomas Schmidt. 2017. MOOCs as facilitator: Online learning and women in STEM. Paper presented at the 2017 International Conference on Engineering, Technology and Innovation: Engineering, Technology and Innovation Management Beyond 2020: New Challenges, New Approaches, ICE/ITMC 2017—Proceedings, Funchal, Portugal, June 27–29; pp. 482–86. [Google Scholar] [CrossRef]
- Mangu, Daniel M., Andrew R. Lee, James A. Middleton, and Jill K. Nelson. 2015. Motivational factors predicting STEM and engineering career intentions for high school students. Paper presented at IEEE Frontiers in Education Conference (FIE), El Paso, TX, USA, October 21–24; pp. 1–8. [Google Scholar] [CrossRef]
- Marra, Rose M., Kelly. A. Rodgers, Demei Shen, and Barbara Bogue. 2012. Leaving Engineering: A Multi-Year Single Institution Study. Journal of Engineering Education 101: 6–27. [Google Scholar] [CrossRef] [Green Version]
- Mayes, Robin, Gloria Natividad, and J. Michael Spector. 2015. Challenges for Educational Technologists in the 21st Century. Education Sciences 5: 221–37. [Google Scholar] [CrossRef]
- Misran, Norbahiah, Sarifah Nurhanum, and Syed Sahuri. 2013. Undergraduate Student’s Perception towards Engineering Program at UKM. Procedia Social and Behavioral Sciences 102: 110–15. [Google Scholar] [CrossRef]
- Muñóz, Mirna, Adriana Peña, Jezreel Mejía, and Graciela Lara. 2016a. Actual State of the Coverage of Mexican Software Industry Requested Knowledge Regarding the Project Management Best Practices. Computer Science and Information Systems 13: 849–73. [Google Scholar] [CrossRef]
- Muñóz, Mirna, Adriana Peña, Jezreel Mejía, and Graciela Lara. 2016b. Coverage of the university curricula for the Software Engineering industry in Mexico. IEEE Latin America Transactions 14: 2382–88. [Google Scholar] [CrossRef]
- National Academies of Sciences, Engineering, and Medicine. 2018. Assessing and Responding to the Growth of Computer Science Undergraduate Enrollments. Washington, DC: The National Academies Press. [Google Scholar] [CrossRef]
- Ngamkajonviwat, Anuchit, Wasant Atisabda, Ophat Kaosaiyaporn, and Chidchanok Churngchow. 2015. Instructional System Design for Worker Education in Multicultural and Knowledge-based Society. Procedia Social and Behavioral Sciences 174: 2355–60. [Google Scholar] [CrossRef]
- O’Herrin, Keith, Susan D. Day, P. Eric Wiseman, Curtis R. Friedel, and John F. Munsell. 2018. University student perceptions of urban forestry as a career path. Urban Forestry and Urban Greening 34: 294–304. [Google Scholar] [CrossRef]
- Oktaba, Hanna, and Ana Vázquez. 2008. MoProSoft®: A Software Process Model for Small Enterprises. In Software Process Improvement for Small and Medium Enterprises: Techniques and Case Studies. Edited by Hanna Oktaba and Mario Piattini. Hershey: IGI Global, pp. 170–76. [Google Scholar] [CrossRef]
- Olmedo-Torre, Noelia, Fermín Sánchez Carracedo, M. Núria Salán Ballesteros, David López, Antoni Perez-Poch, and Mireia López-Beltrán. 2018. Do female motives for enrolling vary according to STEM profile? IEEE Transactions on Education 61: 289–97. [Google Scholar] [CrossRef]
- Oo, Bee L., Sirui Li, and Leshui Zhang. 2018. Understanding female students’ choice of a construction management undergraduate degree program: Case study at an australian university. Journal of Professional Issues in Engineering Education and Practice 144: 05018004-1–8. [Google Scholar] [CrossRef]
- Pattnayak, Jui, and Sabyasachi Pattnaik. 2016. Integration of Web Services with E-Learning for Knowledge Society. Procedia Computer Science 92: 155–60. [Google Scholar] [CrossRef]
- Pažur Aničić, Katarina, Blaženka Divjak, and Krunoslav Arbanas. 2017. Preparing ICT Graduates for Real-World Challenges: Results of a Meta-Analysis. IEEE Transactions on Education 60: 191–97. [Google Scholar] [CrossRef]
- Rodríguez Amaya, Laura, Tania Betancourt, Kristina Henry Collins, Orlando Hinojosa, and Carlos Corona. 2018. Undergraduate research experiences: Mentoring, awareness, and perceptions—A case study at a Hispanic-serving institution. International Journal of STEM Education 5: 9. [Google Scholar] [CrossRef]
- Royal Spanish Academy. 2014. Diccionario de la Lengua Española (23.a ed.). Available online: http://dle.rae.es/?id=SX9HJy3 (accessed on 10 January 2018).
- Schunk, Dale H., Judith R. Meece, and Paul R. Pintrich. 2008. Motivation in Education: Theory, Research, and Applications. Upper Saddle River: Pearson/Merrill Prentice Hall. [Google Scholar]
- Schwartz, Jeffrey L. 2016. Preparing high school students for college while training engineering students in soft skills. Paper presented at IEEE Integrated STEM Education Conference (ISEC), Princeton, NJ, USA, March 5; pp. 12–115. [Google Scholar] [CrossRef]
- Stanko, Tanya, Oksana Zhirosh, and Dmitry Krasnikhin. 2014. Why girls with an interest in IT in high-school do not choose an IT career. Paper presented at International Conference on Interactive Collaborative Learning (ICL), Dubai, UAE, December 3–6; pp. 131–37. [Google Scholar] [CrossRef]
- Starodubtseva, Daria V., Oxana M. Zamyatina, and Yulia O. Goncharuk. 2015. Curriculum design and development of master’s educational programs in IT area (through the example of international development of master programs Applied computing and Product life cycle technological process efficiency of TEMPUS SUCCESS and ACES projects). Paper presented at International Conference on Interactive Collaborative Learning (ICL), Florence, Italy, September 20–24; pp. 393–96. [Google Scholar] [CrossRef]
- Suárez Zozaya, María Herlinda. 2013. Los estudiantes como consumidores: Acercamiento a la mercantilización de la educación superior a través de las respuestas a la Encuesta Nacional de Alumnos de Educación Superior (ENAES). Perfiles Educativos 35: 171–87. [Google Scholar]
- Thomassie, Rachal E., Kathryn Kirsch, Eric R. Marsh, and Timothy J. Jacobs. 2018. High-Enrollment Mechanical Engineering Programs Meeting the Challenge of Career Advising Through a Seminar Course. Paper presented at 2018 ASEE Annual Conference & Exposition, Salt Lake City, UT, USA, June 24–27. [Google Scholar]
- Thouin, Mark F., William E. Hefley, and Srinivasan Raghunathan. 2018. Student attitudes toward information systems graduate program design and delivery. Journal of Information Systems Education 29: 25–36. [Google Scholar]
- Tobón, Sergio. 2016. Methodology of Curricular Management: A Socioformative Perspective. Lake Mary: Kresearch, Available online: https://cife.edu.mx/recursos/2018/09/10/2411/ (accessed on 25 November 2018).
- Tobón, Sergio. 2017. Essential Axes of Knowledge Society and Socioformation. Mount Dora: Kresearch, Available online: https://cife.edu.mx/recursos/2018/09/03/essential-axes-of-knowledge-society-and-socioformation/ (accessed on 25 November 2018).
- Tobón, Sergio. 2018. Conceptual Analysis of the Socioformation According to the Knowledge Society. Knowledge Society and Quality of Life (KSQL) 1: 9–35. Available online: http://fisod.org/ksql/index.php/ksql (accessed on 25 November 2018).
- Todorescu, Liliana Luminita, Anca Greculescu, and Maria Monica Popescu-Mitroi. 2015. Engineering Students’ Career Choice and the English Teacher’s Profile in Romanian Higher Education. Procedia Social and Behavioral Sciences 197: 201–6. [Google Scholar] [CrossRef]
- Vaino, Toomas, Katrin Vaino, and Miia Rannikmäe. 2015. Enhancing Students’ Interests in Science and Technology Related Careers Through a Specially Designed Optional Course. Procedia Social and Behavioral Sciences 177: 331–35. [Google Scholar] [CrossRef]
- Vali, Ilie. 2013. The Role of Education in the Knowledge-based Society. Procedia Social and Behavioral Sciences 76: 388–92. [Google Scholar] [CrossRef]
- Villegas Téllez, Rodrigo, David Antonio Torres, Krystel Palacios Gutiérrez, and Fernando De Los Reyes. 2015. Proyección de Matrícula para el Análisis de la Infraestructura de Programas Académicos en Vía de Acreditación. Tecnología Educativa—Revista CONAIC 2: 44–56. [Google Scholar]
- Webster, F. 2006. Theories of the Information Society. Abingdon: Routledge. [Google Scholar]
- Wright, Geoffrey Albert. 2017. Engineering attitudes: An investigation of the effect of literature on student attitudes toward engineering. International Journal of Technology and Design Education 28: 653–65. [Google Scholar] [CrossRef]
- Yoo, Wook Sung, Spoorthi Raghunandan Pattaparla, and Sameer Ahamed Shaik. 2016. Curriculum development for computing education academy to enhance high school students’ interest in computing. Paper presented at IEEE Integrated STEM Education Conference (ISEC), Princeton, NJ, USA, March 5; pp. 282–84. [Google Scholar] [CrossRef]
- Zamyatina, Oxana M., Polina I. Mozgaleva, and Kseniya V. Gulyaeva. 2014. Elite engineering education programme development based on CDIO standarts. Paper presented at International Conference on Interactive Collaborative Learning (ICL), Dubai, UAE, December 3–6; pp. 919–23. [Google Scholar] [CrossRef]
Categories | Questions or Components |
---|---|
Challenges of the knowledge society and socioformation for university careers | What are the challenges of socioformation and knowledge society in the engineering career sector? |
Relevance and demand of computer systems engineering and future trends in Mexico | Despite of being one of the first careers in computer science, is curricular Computer Systems Engineering in Mexico able to face the challenges of knowledge society? |
Factors associated with the demand for engineering careers | Which factors determine the demand for engineering careers? |
Successful experiences that improve demand for university and engineering careers | Are there successful experiences in improving the demand for engineering careers? |
Strategies to improve the demand for computer systems engineering career | What strategies can be implemented to improve the demand for computer systems engineering careers? |
Perception of the quality of engineering education programs | Is the students’ perception of engineering education programs important? |
Documents | About the Subject | Contextualization or Complementary |
---|---|---|
Theoretical papers | 57 | 2 |
Books | 3 | 5 |
Manuals | 5 | - |
Africa & Oceania | America | Asia | Europe |
---|---|---|---|
3% | 64% | 7% | 26% |
2018 | 2017 | 2016 | 2015 | 2014 | 2013–1999 |
---|---|---|---|---|---|
25.70% | 4.50% | 15.20% | 22.80% | 18.23% | 13.57% |
2018 | 2017 | 2016 | 2015 | 2014 | 2013 | 2012 | 2011 | 2008 | 2007 | 1999 |
---|---|---|---|---|---|---|---|---|---|---|
6 | 6 | 137 | 169 | 113 | 164 | 238 | 72 | 92 | 25 | 15 |
0.53% | 0.53% | 13.24% | 16.34% | 10.91% | 15.86% | 23.03% | 6.93% | 8.87% | 2.37% | 1.39% |
1. Prepare and maintain a team of competent technological educators. |
2. Plan and organize project processes. |
3. Systematically identify the requirements of the integration of educational technology. |
4. Redefine and refine teacher roles. |
5. Manage resources, in addition to provide maintenance and support. |
Knowledge Area | Minimum Units |
---|---|
Social sciences, humanities and others | 300 |
Mathematics and basic sciences | 420 |
Informatics and computing | 1000 |
Total minimum program units | 1720 |
Area of Knowledge | A | B | C | D |
---|---|---|---|---|
Social Environment | 300 | 125 | 100 | 100 |
Mathematics | 100 | 125 | 250 | 175 |
Computer Arquitecture | 50 | 75 | 100 | 175 |
Networks | 75 | 75 | 100 | 150 |
Base Software | 75 | 75 | 100 | 125 |
Programming and Software Engineering | 175 | 200 | 225 | 175 |
Treatment of Information | 175 | 200 | 75 | 50 |
Human-Machine Interaction | 50 | 100 | 75 | 50 |
Total Minimum Units | 1000 | 1000 | 1000 | 1000 |
Knowledge Area/Subject Groups | Minimum Hours |
---|---|
Basic Sciences | 800 |
Engineering Sciences and Applied Engineering | 1300 |
Social Sciences and Humanities | 300 |
Other Courses | 200 |
Total minimum hours | 2600 |
Basic Sciences | Engineering Sciences | Applied Engineering |
---|---|---|
- Mathematics - Physics - Chemistry | - Computer Science - Software (Programming Systems) - Hardware (Electronic Systems) - Communications - Systems, Signals and Control | - Digital Systems Architecture - Artificial Intelligence - Teleinformatics |
Knowledge Area/Subject Groups | Minimum Hours |
---|---|
Axis 1. Basic Sciences | 800 |
Axis 2. Engineering Sciences | 500 |
Axis 3. Applied Engineering and Engineering Design | 800 |
Axis 4. Social Sciences and Humanities | 200 |
Axis 5. Economic Administrative Sciences | 200 |
Axis 6. Other Courses | 100 |
Total minimum program hours | 2600 |
Within the Industry |
---|
- Hardware Product Development |
- Software product development: Software engineering, product equipment, systems software programming, engineering and/or scientific applications programming, commercial software development, development manager, product manager. |
- Research and development: VLSI circuits, neural networks and intelligent systems, natural language processing and speech recognition, image processing and pattern recognition, expert systems and knowledge engineering, multimedia and hypermedia, human-computer interaction. |
- Employing in a start-up company |
- Marketing and sales |
Outside the Industry |
- Employers and environments: Business, government, non-profit organizations. |
- Corporate software development |
- Systems analysis |
- Electronic data processing auditors: Database administrators, directors, information systems |
- Operations: Information center operations management, technical support services management |
- Information systems departments |
- System integrators, value-added resellers and consultants |
- Freelance |
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Mata-López, W.A.; Tobón, S. Analysis of Factors Associated to the Enrollment and Demand of Computing-Related Careers. Soc. Sci. 2019, 8, 1. https://doi.org/10.3390/socsci8010001
Mata-López WA, Tobón S. Analysis of Factors Associated to the Enrollment and Demand of Computing-Related Careers. Social Sciences. 2019; 8(1):1. https://doi.org/10.3390/socsci8010001
Chicago/Turabian StyleMata-López, Walter Alexander, and Sergio Tobón. 2019. "Analysis of Factors Associated to the Enrollment and Demand of Computing-Related Careers" Social Sciences 8, no. 1: 1. https://doi.org/10.3390/socsci8010001
APA StyleMata-López, W. A., & Tobón, S. (2019). Analysis of Factors Associated to the Enrollment and Demand of Computing-Related Careers. Social Sciences, 8(1), 1. https://doi.org/10.3390/socsci8010001