Assessment of Jordanian High School Students Performances in Computer Subject: Inclusion for Measurements and Evaluation of Learning
Keywords:
Academic performances, Computer subject, Measurement and evaluation, Jordanian high school studentsAbstract
Nowadays, every student is able to use technology in school or at home. Computers have become a necessary part in schools for the sake of well teaching style. The low levels of students’ achievement and their computer subject skills weaknesses at the public examinations in Jordan have continued to draw major stakeholders' attention in education. This study examined Jordanian high school students' academic achievement in computer subject, also gender difference in students’ achievement was examined. An ex-post-facto design of descriptive research was adopted for the study. A preform was used to collect data from a sample of (200) students who have been selected using a stratified random sampling procedure from the secondary schools in Jordan/Irbid. The data, which was collected, is the students’ performances in computer subject achievement tests. The data were analyzed using descriptive statistics and an independent-sample t-test. Results showed that the test internal consistency reliability is low; the students performed below average (M=47.02, SD=16.493 (47%).
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Abubakar, R. B., & Oguguo, O. D. (2011). Age and gender as predictors of academic achievement of college mathematics and science students. Journal of Educational and Social Research, 1(2), 89-89.
Ahlawat, K. S., & Baydoun, E. (1984). Perceptions of health concept among Jordanian high school students. International quarterly of community health education, 5(2), 129- 147.
Al-Saaideh, M. i. A. (2016). Reasons for Avoidance of Vocational Education in Jordan.
Educational Research and Reviews, 11(11), 1064-1084.
Astin, A. W. (2012). Assessment for excellence: The philosophy and practice of assessment and evaluation in higher education: Rowman & Littlefield Publishers.
Black, J., Brodie, J., Curzon, P., Myketiak, C., McOwan, P. W., & Meagher, L. R. (2013). Making computing interesting to school students: teachers' perspectives. Paper presented at the Proceedings of the 18th ACM conference on Innovation and technology in computer science education.
Brady, A.-M. (2005). Assessment of learning with multiple-choice questions. Nurse Education in Practice, 5(4), 238-242.
Chee, K. H., Pino, N. W., & Smith, W. L. (2005). Gender differences in the academic ethic and academic achievement. College student journal, 39(3), 606.
Compton, M. T., Hankerson-Dyson, D., & Broussard, B. (2011). Development, item analysis, and initial reliability and validity of a multiple-choice knowledge of mental illnesses test for lay samples. Psychiatry research, 189(1), 141-148.
Dania, P. O. (2014). Effect of gender on students academic achievement in secondary school social studies. Journal of Education and Practice http://www. iiste. org (online) vol, 5.
Education, S. (2005). Ministry of Education. In: Delhi.
Edwards, S. (2005). Identifying the factors that influence computer use in the early childhood classroom. Australasian Journal of Educational Technology, 21(2).
Forgasz, H. (2004). Teachers and computer use for secondary mathematics teaching: Encouraging and inhibiting factors. In: Melbourne: Australian Association for Research in Education [AARE].
Goes, J., & Simon, M. K. (2017). Dissertation and Scholarly Research: Recipes for Success: 2018 Edition: A Practical Guide to Start and Complete your Dissertation, Thesis, or Formal Research Project: Dissertation Recipes LLC.
Hanemann, U. (2012). Looking Forward with LIFE: Literacy Initiative for Empowerment.
Global LIFE Mid-Term Evaluation Report 2006-2011: ERIC.
Harris, J. M. (2000). Utilization of computer technology by teachers at Carl Schurz High School, a Chicago public school: Northern Illinois University.
Hsu, T.-C., Chang, S.-C., & Hung, Y.-T. (2018). How to learn and how to teach computational thinking: Suggestions based on a review of the literature. Computers & Education, 126, 296-310.
Innabi, H. (2003). Aspects of critical thinking in classroom instruction of secondary school mathematics teachers in Jordan. Paper presented at the Mathematics Education into the 21st Century Project Proceedings of the International Conference, Czech Republic. Retrieved from http://dipmat. math. unipa. it/~ grim/21_project/21_brno03_Innabi. pdf.
Lammers, W., & Badia, P. (2005). Fundamental of behavior Research. Astralia: Belmont, CA. Lenke, J. M. (1977). Differences Between Kuder-Richardson Formula 20 and Formula 21 Reliability Coefficients for Short Tests with Different Item Variabilities.
Mambwe, G. (2016). Barriers to effective teaching of Computer Studies in selected government junior secondary schools of Mwansabombwe District in LuapulaProvince. University of Zambia,
Marcenaro–Gutierrez, O., Lopez–Agudo, L. A., & Ropero-García, M. A. (2018). Gender
differences in adolescents’ academic achievement. Young, 26(3), 250-270.
Nunnally, J. C. (1978). An overview of psychological measurement. In Clinical diagnosis of mental disorders (pp. 97-146): Springer.
Osburn, H. G. (2000). Coefficient alpha and related internal consistency reliability coefficients. Psychological methods, 5(3), 343.
Peterson, R. A., & Kim, Y. (2013). On the relationship between coefficient alpha and composite reliability. Journal of applied psychology, 98(1), 194.
Raykov, T., & Marcoulides, G. A. (2011). Introduction to psychometric theory: Routledge. Saunders, M., Lewis, P., & Thornhill, A. (2009). Research methods for business students:
Pearson education.
SESRIC, T. (2010). Research and scientific development in OIC countries.
Simon, M. K., & Goes, J. (2013). Ex post facto research. Retrieved September, 25, 2013. Statistics, D. o., & International, I. (2018). Jordan population and family health survey 2017–
Sternberg, B. J., Kaplan, K. A., & Borck, J. E. (2007). Enhancing adolescent literacy achievement through integration of technology in the classroom. Reading Research Quarterly, 42(3), 416-420.
Tongco, M. D. C. (2007). Purposive sampling as a tool for informant selection. Ethnobotany Research and applications, 5, 147-158.
Traub, R. E., & Fisher, C. W. (1977). On the equivalence of constructed-response and multiple-choice tests. Applied Psychological Measurement, 1(3), 355-369. .
Van Horn, R. W. (1991). Advanced Technology in Education: An Introduction to Videodiscs, Robotics, Optical Memory, Peripherals, New Software Tools, and High-Tech Staff Devel: Brooks/Cole Publishing Company
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