Proposed Enhancements of Factors that Relate to Student Performance in Basic Computer Programming Course in a Local University in the Philippines
DOI:
https://doi.org/10.23918/ijsses.v7i4p80Keywords:
Factors, Computer Programming, Information Technology, Student PerformanceAbstract
The study was conducted to determine the factors that relate to the academic performance of the Bachelor of Science in Information Technology students in Basic Computer Programming course. The researchers administered survey questionnaires to 200 second year BSIT students. In terms of professor-related factors, the researchers found out that the top characteristic of computer programming professors for them to be perceived as having mastery of their course is the knowledgeability of the teacher. A general friendly atmosphere is the most preferred choice of the students for classroom management. While being inspirational and respectful are preferred personalities for their teachers. Also, giving challenging tests is the preferred teaching strategy for the students. In terms of student-related factors, the researchers found out that application of programming skills in future career ranks most among the students. The adequacy of computers is the foremost concern of the students to have a very conducive learning environment. The students perceive that studying hard is crucial to success in their career. As for social stimuli, the students perceive that group collaboration works best for them. While compliance with requirements is the most viewed critical for them to achieved better academic performances. The researchers conclude that all the stated factors both student-related and teacher-related, are directly related to the academic performance of the students. Therefore, the researchers recommend enhancing these factors.
References
Arshad, M., Zaidi, S. M., & Mahmood, K. (2015). Self-esteem & academic performance among university students. Journal of Education and Practice, 6(1), 156-162.
Baumert, J., Kunter, M., Blum, W., Brunner, M., Voss, T., Jordan, A. (2010). Teachers’ mathematical knowledge, cognitive activation in the classroom, and student progress. American Education Research Journal, 47(1), 133-180.
Bingimlas, K. A. (2009). Barriers to the successful integration of ICT in teaching and learning environments: A review of the literature. Retrieved May 9, 2015, from https://ejmste.com/v5n3/eurasia_v5n3_bingimlas.pdf
Butler, M., & Morgan, M. (2007). Learning challenges faced by novice programming students studying high level and low feedback concepts. Retrieved May 9, 2015, from https://ascilite.org.au/conferences/singapore07/procs/butler.pdf
Census and sample. (2013, July 3). Retrieved July 20, 2016, from https://abs.gov.au/websitedbs/a3121120.nsf/home/statistical+language+-+census+and+sample
Chandran, R. (2015). Mandatory class participation: Factors that influence, classroom practices and learning outcomes. Asian Journal of the Scholarship of Teaching and Learning, 5(2), 108-122.
Choi, K., & Suk, H.-J. (2016). Dynamic lighting system for the learning environment: performance of elementary students. Optics Express, 24(10), A907-A916.
Commission on Higher Education. (2014). CHED priority courses for AY 2014-2015 to AY 2017-2018. Retrieved May 10, 2015, from https://ched.gov.ph/wp-content/uploads/2014/01/CMO-01-series-of-2014-CHED-Priority-Courses-for-AY-2014-2015-to-AY-2017-2018.pdf
Commission on higher Education (2015). Revised policies, standards and guidelines for Bachelor of Science in Computer Science (BSCS), Bachelor of Science in Information Systems (BSIS) and Bachelor of Science in Information Technology (BSIT) Programs. Retrieved, October 18, 2015, from https://ched.gov.ph/wp-content/uploads/2015/05/CMO-No.25-s2015.pdf
Commission on Higher Education. (2008). Model embedment technical and vocational education and training (TVET) training regulations (TRs) in the Bachelor of Science in Computer Science, Bachelor of Information Technology (BSIT) and Bachelor of Science in Information Systems (BSIS) programs. Retrieved May 10, 2015, from https://ched.gov.ph/wp-content/uploads/2013/07/CMO-No.18-s2008.pdf
Commission on Higher Education. (2006). Policies and standards for information technology education (ITE) programs. Retrieved May 13, 2013, from https://ched.gov.ph/wp-content/uploads/2013/07/CMO-No.53-s2006.pdf
Devoe, P., Niles, C., Andrews, N., Benjamin , A., Blacklock , L., Colombo, E., & Osgood, M. (2007). Lessons learned from a study-group pilot program for medical students perceived to be ‘at risk’. Med Teach 29 (2–3), 37–40.
Fessakis, G., Gouli, E., & Mavroudi, E. (2013). Problem solving by 5–6 years old kindergarten children in a computer programming environment: A case study. Computers & Education, 63, 87-97.
Garcia, R. A., & Al-Safadi, L. A. (2013). Comprehensive assessment on factors affecting students’ performance in Basic Computer Programming Course towards the improvement of teaching technique. International Journal for Infonomics.
Guerriero, S. (2014). Teachers’ pedagogical knowledge and the teaching profession. Teaching and Teacher Education, 2(7).
Hammond, L. (2000). Teacher quality and student achievement: A review of state policy evidence. Education Policy Analysis Archives, 8(1).
Hanover Research. (2014, August). The impact of formative assessment and learning intentions on student achievement. Retrieved from https://hanoverresearch.com/media/The-Impact-of-Formative-Assessment-and-Learning-Intentions-on-Student-Achievement.pdf
Hanselman, S. (2016, June 18). Stop saying learning to code is easy. Retrieved from https:// goo.gl/oTJUyw
Henn, S. (2014). When women stopped coding. Retrieved May 10, 2015, from https://npr.org/blogs/money/2014/10/21/357629765/when-women-stopped-coding.html
Hill, H. C., Rowan, B., & Ball, D. L. (2005). Effects of teachers’ mathematical knowledge for teaching on student achievement. American Educational Research Journal, 42(2), 371-406.
Ibrahim, M. (2008). Relationship between eye contact of teachers and academic achievement of students at secondary school level in District Bhakkar. Dera Ismail Khan.
Kamamia, L. N., Ngugi, N. T., & Thing, R. W. (2014). To establish the extent to which the subject mastery enhances quality teaching to student-teachers during teaching practice. International Journal of Education and Research, 297), 643.
Khan, N., Mohammad, N., Shah, N., Irfanullah, & Farid, N. (2016). A study of the use of eye contact in teaching learning process at secondary level in District Peshawar. Language in India, 16(4), 84.
McGonigal, K. (2005). Teaching for transformation: From learning theory to teaching strategies. Speaking of Teaching , 2-3.
McLeod, S. (2008). Likert scale. Retrieved August 20, 2013, from https://simplypsychology.org/likert-scale.html
Mezirow, J. (1991). Transformative dimensions of adult learning. San Francisco: Jossey Bass.
Robson, C. (2002). Real world research: A resource for social scientists and practitioner-researchers (2nd ed.). Wiley.
Murillo, J., & Garrido, C. (2012). Influence of the environmental conditions and academic performance in the primary education classrooms of iberoamerica. Retrieved July 20, 2016, from https://epaa.asu.edu/ojs/article/view/1002
Muzenda, A. (2013). Lecturers’ competences and students’ academic performance. International Journal of Humanities and Social Science Invention, 06-13.
Postholm, M. B. (2011). Self-regulated pupils: Learning strategies and meta-cognition. 169–182.
Roberson, R. (2013, September). Helping students find relevance. Retrieved from American Psychological Association: https://apa.org/ed/precollege/ptn/2013/09/students-relevance.aspx
Rybczynski, S., & Schussler, E. (2011). Student use of out-of-class study groups in an introductory undergraduate biology course. CBE Life Sci Educ. 10(1), 74–82.
Sabitu, A., & Nuradeen, B. (2010). Teachers’ attributes as correlates of students’ academic performance in Geography in the secondary schools in Ondo State, Nigeria. Pakistan Journal of Social Sciences, 388-392.
Samani, S., & Samani, S. (2012). The impact of indoor lighting on students’ learning performance in learning environments: A knowledge internalization perspective. International Journal of Business and Social Science, 3(24),127 – 136.
Saunders, M., Lewis, P., & Thornhill, A. (2006). Research methods for business students (4th ed.). Prentice Hall.
Shaughnessy, U. H., & Shaughnessy, R. J. (2015). Effects of classroom ventilation rate and temperature on students’ test scores. PLOS ONE.
Sherman, E. (21015, March 26). Report: Disturbing drop in women in computing field. Retrieved from https://fortune.com/2015/03/26/report-the-number-of-women-entering-computing-took-a-nosedive/
Simmons, B. (2014). Weighted average. Retrieved January 3, 2016, from https://mathwords.com/w/weighted_average.htm
Sowell, H. (2013). Classroom management strategies: The impact on student achievement. Retrieved July 20, 2016, from https://goo.gl/HQnCU8
Thomas, L., Ratcliffe, M., & Thomasson, B. (2004). Scaffolding with object diagrams in first year programming classes: Some unexpected
results. Proceedings of the 35th SIGCSE Technical Symposium on Computer Science Education (pp. 250-254). Association for Computing Machinery.
Ukpong, D. E., & George, I. N. (2013). Length of study-time behaviour and academic achievement of Social Studies Education students in the University of Uyo. International Education Studies, 6(3), 172-178.
Usen, O. M. (2016). Teachers’ utilization of school facilities and academic achievement of student nurses in Human Biology in Schools of Nursing in Akwa Ibom State, Nigeria. Journal of Education and Practice, 7(16), 73-80.
Voss, T., Kunter, M., & Baumert, J. (2011). Assessing teacher candidates’ general pedagogical/psychological knowledge: Test construction and validation. Journal of Educational Psychology, 103(4), 952-969.
Zainal, N. A., Shahrani, S., Yatim, N. M., Rahman, R., Rahmat, M., & Latih, R. (2012). Students’ perception and motivation towards programming. Procedia – Social and Behavioral Sciences, 59, 17, 277-286.
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