Investigating Factors Affecting the Learning Process in Higher Education - A Case Study

  IJCTT-book-cover
 
International Journal of Computer Trends and Technology (IJCTT)          
 
© 2020 by IJCTT Journal
Volume-68 Issue-6
Year of Publication : 2020
Authors : Wafa Ali Mohammed
  10.14445/22312803/IJCTT-V68I6P102

MLA

MLA Style: Wafa Ali Mohammed "Investigating Factors Affecting the Learning Process in Higher Education - A Case Study" International Journal of Computer Trends and Technology 68.6 (2020):10-17.

APA Style Wafa Ali Mohammed. Investigating Factors Affecting the Learning Process in Higher Education - A Case Study  International Journal of Computer Trends and Technology, 68(6),10-17.

Abstract
Globalization, Information and Communication Technology (ICT) advances, and the expansion in Higher Education (HE) pose many challenges on HE Institutions (HEIs). Chief among them is gaining a competitive advantage necessary for sustainability, achieving goals and providing a service that satisfies customers (students). Learning is the most important service provided by HEIs, and it involves two other stakeholders in addition to the institutions, namely, students and educators. The aim of this study is to identify the main factors that affect the learning process at HEIs and to empirically investigate their effectiveness. Content analysis techniques and exploratory interviews were used in identifying main factors and their associated variables. Data mining was utilized for analysis to discover patterns and extract valuable information. The case study involves students from the College of Computer Science and Information Technology (CSIT) at Sudan University of Science and Technology (SUST). A survey instrument was used to gauge stakeholders’ perception and expectation of the effect of the predetermined factors. The results showed that many factors have an adverse impact on the learning process and require attention, including transportation, ICT support, and services such as cafeteria and health services, etc. This research contends that identifying and highlighting the effect of factors from the perspective of the main “customers” would yield better students’ satisfaction, reduced dropout rates, enhanced HEIs competitiveness and eventually improved learning process.

Reference
[1] The World Bank, “Higher Education in Developing Countries: Peril and Promise,” Washington, DC, 2000, p. 138.
[2] F. Teal, "Higher Education and Economic Development in Africa: A Review of Channels and Interactions," Journal of African Economies 20, no. Suppl. 3, 2011, 50-79.
[3] JICA (2004). "Approaches for Systematic Planning of Development Projects/higher education."
[4] Danil, SIR John. "Higher Education: Past, Present, and Future--A View from UNESCO." Higher Education in Europe 28, no. 1 (2003): 21-26.
[5] Crosling, Glenda, Margaret Heagney, and Liz Thomas. "Improving student retention in higher education: Improving teaching and learning." Australian Universities' Review, The 51, no. 2 (2009): 9.
[6] Crosling, Glenda, Margaret Heagney, and Liz Thomas. "Improving student retention in higher education: Improving teaching and learning." Australian Universities' Review, The 51, no. 2 (2009): 9.
[7] Zhang, Ying, Samia Oussena, Tony Clark, and Kim Hyensook. "Using data mining to improve student retention in HE: a case study." (2010).
[8] Agaoglu, Mustafa. "Predicting instructor performance using data mining techniques in higher education." IEEE Access 4 (2016): 2379-2387.
[9] Raju, Dheeraj, and Randall Schumacker. "Exploring student characteristics of retention that lead to graduation in higher education using data mining models." Journal of College Student Retention: Research, Theory & Practice 16, no. 4 (2015): 563-591.
[10] Asif, Raheela, Agathe Merceron, Syed Abbas Ali, and Najmi Ghani Haider. "Analyzing undergraduate students' performance using educational data mining." Computers & Education 113 (2017): 177-194.
[11] Berkhin, Pavel. "A survey of clustering data mining techniques." In Grouping multidimensional data, pp. 25-71. Springer, Berlin, Heidelberg, 2006.
[12] Gulati, Hina, and P. K. Singh. "Clustering techniques in data mining: A comparison." In 2015 2nd international conference on computing for sustainable global development (INDIACom), pp. 410-415. IEEE, 2015.
[13] Siming, Luo. "Factors Leading to Students' Satisfaction in the Higher Learning Institutions." Journal of Education and Practice 6, no. 31 (2015):114-118..
[14] Khurshid, Fauzia. "Factors affecting higher education students' success." Asia Pacific Journal of Education, Arts and Sciences 1, no. 5 (2014): 40-47.
[15] Lachman, Sheldon J. "Learning is a process: Toward an improved definition of learning." The Journal of psychology 131, no. 5 (1997): 477-480.
[16] Betoret, Fernando Doménech, and Adela Descals Tomás. "Evaluation of the university teaching/learning process for the improvement of quality in higher education." Assessment & evaluation in higher education 28, no. 2 (2003): 165-178..
[17] Pavione, Caroline Stéffani Santos Nério, Bruna Camargos Avelino, and José Roberto de Souza Francisco. "Factors that Influence the Teaching-Learning Process from the Perspective of Accountancy Students: Analysis at a Higher Education Institution in Minas Gerais." Revista de Educação e Pesquisa em Contabilidade 10, no. 2 (2016).
[18] Ujunju, Michael Okumu, G. Wanyembi, and Franklin Wabwoba. "Evaluating the role of information and communication technology (ICT) support towards processes of management in institutions of higher learning." (2012).
[19] Laudon, Kenneth C. Management information systems: Managing the digital firm. Pearson Education India, 2007.
[20] Mostert, Markus, and Lynn Quinn. "Using ICTs in teaching and learning: Reflections on professional development of academic staff." International Journal of Education and Development using ICT 5, no. 5 (2009): 72-84.
[21] Krishnaveni, R., and J. Meenakumari. "Usage of ICT for Information Administration in Higher education Institutions–A study." International Journal of environmental science and development 1, no. 3 (2010): 282-286.
[22] Borkar, Suchita, and K. Rajeswari. "Predicting students academic performance using education data mining." International Journal of Computer Science and Mobile Computing 2, no. 7 (2013): 273-279.
[23] Solanki, Harshvardhan. "Comparative study of data mining tools and analysis with unified data mining theory." International Journal of Computer Applications 75, no. 16 (2013): 23-28.
[24] Amirul, Nurul Jannah, C. N. Che Ahmad, Asmayati Yahya, M. F. N. L. Abdullah, Mazlini Adnan, and N. Mohamed Noh. "The physical classroom learning environment." In Proceedings of the International Higher Education Teaching and Learning Conference, vol. 2, no. 1, pp. 1-9. 2013.
[25] Puteh, Marzita, Che Nidzam Che Ahmad, N. Mohamed Noh, Mazlini Adnan, and Mohd Hairy Ibrahim. "The classroom physical environment and its relation to teaching and learning comfort level." International Journal of Social Science and Humanity 5, no. 3 (2015): 237-240.
[26] Aslam, Hassan Danial, A. Younis, A. A. Sheik, M. Z. A. Maher, and Z. A. Abbasi. "Analyzing factors affecting students’ satisfaction regarding semester system in universities of Pakistan." Journal of American Science 8, no. 10 (2012): 163-170.
[27] Nikky, S. "Characteristics of Good Teaching Aids." Retrieved December 4 (2010): 2012.
[28] Abante, Mark Enrick R., Benjie C. Almendral, Jay-ren E. Manansala, and Jovielyn Mañibo. "Learning styles and factors affecting the learning of general engineering students." International Journal of Academic Research in Progressive Education and Development 3, no. 1 (2014): 16-27.
[29] Abante, Mark Enrick R., Benjie C. Almendral, Jay-ren E. Manansala, and Jovielyn Mañibo. "Learning styles and factors affecting the learning of general engineering students." International Journal of Academic Research in Progressive Education and Development 3, no. 1 (2014): 16-27.
[30] Cook, Sandra. "A chronology of academic advising in America." The Mentor: An Academic Advising Journal 1, no. 2 (1999).
[31] Young‐Jones, Adena D., Tracie D. Burt, Stephanie Dixon, and Melissa J. Hawthorne. "Academic advising: does it really impact student success?." Quality Assurance in Education (2013).
[32] Lau, Linda K. "Institutional factors affecting student retention." Education-Indianapolis then Chula Vista- 124, no. 1 (2003): 126-136.
[33] Munawaroh, N. "The influence of teaching methods and learning environment to the student’s learning achievement of craft and entrepreneurship subjects at vocational high school." International Journal of Environmental & Science Education 12, no. 4 (2017): 665-678.
[34] Kumar, DTT Vijaya, J. Senthil, and Ramesh Palanisami. "Optimizing Resources in Teaching and Learning using Cloud Technology."
[35] Han, Jiawei, Jian Pei, and Micheline Kamber. Data mining: concepts and techniques. Elsevier, 2011.
[36] Bouckaert, Remco R., Eibe Frank, Mark A. Hall, Geoffrey Holmes, Bernhard Pfahringer, Peter Reutemann, and Ian H. Witten. "WEKA−Experiences with a Java Open-Source Project." Journal of Machine Learning Research 11, no. Sep (2010): 2533-2541.

Keywords
Learning process, higher education, ICT, decision-making, data mining, clustering.