Effectiveness of UK and international A-level assessment in predicting performance in engineering

References

• Adamson, J., & Clifford, H. (2002). An appraisal of A-level and university examination results for engineering undergraduates. International Journal of Mechanical Engineering, 30, 265–279.
   Google Scholar
• Adcroft, A. (2010). The motivations to study and expectations of studying of undergraduate students in business and management. Journal of Further and Higher Education, 35, 521–543.
   Google Scholar
• Biggs, J., & Tang, C. (2007). Teaching for quality learning at University (3rd ed.). Maidenhead: Open University Press.
   Google Scholar
• Christie, H., Munro, M., & Fisher, T. (2004). Leaving university early: Exploring the differences between continuing and non-continuing students. Studies in Higher Education, 29, 617–636.
   Web of Science ®Google Scholar
• Cohen, J. (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ: Lawrence Earlbaum Associates.
   Google Scholar
• De Vita, G. (2001). Learning styles, culture and inclusive instruction in the multicultural classroom: A business and management perspective. Innovations in Education and Teaching International, 38, 165–174. doi:10.1080/14703290110035437.
   Web of Science ®Google Scholar
• Dochy, F., Segers, M., & Sluijsmans, D. (1999). The use of self-, peer and co-assessment in higher education: A review. Studies in Higher Education, 24, 331–350. doi:10.1080/03075079912331379935.
   Web of Science ®Google Scholar
• Fastré, G., Segers, M., & Gijselaers, W. H. (2008). Selection to ensure study success: Looking for multiple criteria. The case of a European Master of Science program in business. Journal of Education for Business, 84, 47–54.
   Google Scholar
• Foy, J. M., & Waller, D. M. (1987). Using British school examinations as a predictor of university performance in a pharmacy course: A correlative study. Higher Education, 16, 691–698. doi:10.1007/bf00139694.
   Web of Science ®Google Scholar
• Franssen, R., & Nijhuis, J. (2011). Exploring student attrition in problem-based learning: Tutor and student perceptions on student progress. In P. Van den Bossche, W. H. Gijselaers, & R. G. Milter (Eds.), Building learning experiences in a changing world (pp. 139–146). Amsterdam: Springer.
   Google Scholar
• Godfrey, E., Aubrey, T., & King, R. (2010). Who leaves and who stays? Retention and attrition in engineering education. Engineering Education, 5, 26–40.
   Google Scholar
• Hoyles, C., Newman, K., & Noss, R. (2001). Changing patterns of transition from school to university mathematics. International Journal of Mathematics Education in Science and Technology, 32, 829–845.
   Google Scholar
• Imam, B., Rafiq, M. I., & Kumar, P. (2011). Improving student learning in engineering discipline using student- and lecturer-led assessment approaches. European Journal of Higher Education, 1, 1–16. doi:10.1080/21568235.2011.601932.
   Google Scholar
• Joint Concil for Qualifications. (2009). A, AS and AEA results summer 2009. Retrieved September 11, 2012, from http://www.jcq.org.uk
   Google Scholar
• Joy, S., & Kolb, D. A. (2009). Are there cultural differences in learning style? International Journal of Intercultural Relations, 33, 69–85. doi:10.1016/j.ijintrel.2008.11.002.
   Web of Science ®Google Scholar
• Lee, S., Harrison, M. C., Pell, G., & Robinson, C. L. (2008). Predicting performance of first year engineering students and the importance of assessment tools therein. Engineering Education, 3, 44–51.
   Google Scholar
• Lindblom-Ylänne, S., Lonka, K., & Leskinen, E. (1999). On the predictive value of entry-level skills for successful studying in medical school. Higher Education, 37, 239–258. doi:10.1023/a:1003574125457.
   Web of Science ®Google Scholar
• Luxon, T., & Peelo, M. (2009). Internationalisation: Its implications for curriculum design and course development in UK higher education. Innovations in Education and Teaching International, 46, 51–60. doi:10.1080/14703290802646172.
   Web of Science ®Google Scholar
• McAllister, C. D., Jiang, X., & Aghazadeh, F. (2008). Analysis of engineering discipline grade trends. Assessment & Evaluation in Higher Education, 33, 167–178. doi:10.1080/02602930601127802.
   Web of Science ®Google Scholar
• Mellanby, J., Cortina-Borja, M., & Stein, J. (2009). Deep learning questions can help selection of high ability candidates for universities. Higher Education, 57, 597–608. doi:10.1007/s10734-008-9164-y.
   Web of Science ®Google Scholar
• Morrison, J., Merrick, B., Higgs, S., & Le Métais, J. (2005). Researching the performance of international students in the UK. Studies in Higher Education, 30, 327–337.
   Web of Science ®Google Scholar
• National Audit Office (2007). Staying the course: The retention of students in higher education. London: National Audit Office.
   Google Scholar
• Nijhuis, J., Segers, M., & Gijselaers, W. (2008). The extent of variability in learning strategies and students’ perceptions of the learning environment. Learning and Instruction, 18, 121–134.
   Web of Science ®Google Scholar
• Richardson, J. T. E. (2011). Eta squared and partial eta squared as measures of effect size in educational research. Educational Research Review, 6, 135–147. doi:10.1016/j.edurev.2010.12.001.
   Web of Science ®Google Scholar
• Rienties, B., Beausaert, S., Grohnert, T., Niemantsverdriet, S., & Kommers, P. (2012). Understanding academic performance of international students: The role of ethnicity, academic and social integration. Higher Education, 63, 685–700. doi:10.1007/s10734-011-9468-1.
   Web of Science ®Google Scholar
• Rienties, B., Hernandez Nanclares, N., Jindal-Snape, D., & Alcott, P. (2013a). The role of cultural background and team divisions in developing social learning relations in the classroom. Journal of Studies in International Education. doi:10.1177/1028315312463826.
   Web of Science ®Google Scholar
• Rienties, B., Luchoomun, D., & Tempelaar, D. T. (2013b). Academic and social integration of master students: A cross-institutional comparison between Dutch and international students. Innovations in Education and Teaching International. doi:10.1080/14703297.2013.771973.
   Web of Science ®Google Scholar
• Rienties, B., & Tempelaar, D. T. (2013). The role of cultural differences of international students on academic and social integration and academic performance in the Netherlands. International Journal of Intercultural Relations, 37, 188–201. doi:10.1016/j.ijintrel.2012.11.004.
   Web of Science ®Google Scholar
• Sear, K. (1983). The correlation between a level grades and degree results in England and Wales. Higher Education, 12, 609–619. doi:10.1007/bf00140384.
   Web of Science ®Google Scholar
• Segers, M., Dochy, F., & Cascallar, E. (2003). Optimising new modes of assessment: In search of qualities and standards. Dordrecht: Kluwer Academic.
   Google Scholar
• Smith, E. (2011). Women into science and engineering? Gendered participation in higher education STEM subjects. British Educational Research Journal, 37, 993–1014. doi:10.1080/01411926.2010.515019.
   Web of Science ®Google Scholar
• Struyven, K., Dochy, F., & Janssens, S. (2011). Explaining students’ appraisal of lectures and student-activating teaching: Perceived context and student characteristics. Interactive Learning Environments, 20, 391–422.
   Web of Science ®Google Scholar
• Tempelaar, D. T., Gijselaers, W. H., Schim van der Loeff, S., & Nijhuis, J. (2007). A structural equation model analyzing the relationship of student achievement motivations and personality factors in a range of academic subject-matter areas. Contemporary Educational Psychology, 32, 105–131.
   Web of Science ®Google Scholar
• Tempelaar, D. T., Rienties, B., Giesbers, B., & Schim van der Loeff, S. (2012). How cultural and learning style differences impact students’ learning preferences in blended learning. In E. J. Francois (Ed.), Transcultural Blended Learning and Teaching in Postsecondary Education (pp. 30–51). Hershey, PA: IGI-Global.
   Google Scholar
• Tempelaar, D. T., Schim van der Loeff, S., Gijselaers, W., & Nijhuis, J. (2011). On subject variations in achievement motivations: A study in business subjects. Research in Higher Education, 52, 395–419. doi:10.1007/s11162-010-9199-7.
   Web of Science ®Google Scholar
• Todd, K. L. (2001). A historical study of the correlation between G.C.E. advanced level grades and the subsequent academic performance of well qualified students in a university engineering department. Mathematics Today, 37, 152–156.
   Google Scholar
• UCAS (2010). International qualifications for entry to university or college. London: UCAS.
   Google Scholar