The influence of learning and study strategies inventory on the success of engineering students at a South African University of Technology

References

• Albaili, M. A. (1997). Differences among low-, average- and high-achieving college students on learning and study strategies. Educational Psychology, 17(1–2), 171–16. https://doi.org/https://doi.org/10.1080/0144341970170112
   Google Scholar
• Bayat, B., & Salehiniya, H. (2019). Assessing academic success rate and related factors among the students. Journal of Education and Health Promotion, 8, 90. https://doi.org/https://doi.org/10.4103/jehp.jehp_244_18
   PubMedGoogle Scholar
• Boruchovitch, E., & Dos Santos, A. A. A. (2015). Psychometric studies of the learning strategies scale for university students. Paidéia (Ribeirão Preto), 25(60), 19–27. https://doi.org/https://doi.org/10.1590/1982-43272560201504
   Google Scholar
• Burkart, G. (2015). 16 weeks to college success. Kendall Hunt.
   Google Scholar
• Burkart, G. (2017). Using the LASSI to engage metacognitive strategies that foster a growth mindset in college students placed on academic probation. Accessed at: https://he.kendallhunt.com/sites/default/files/heupload/Using%20the%20LASSI%20to%20Engage%20Metacognitive%20Strategies%20that%20Foster%20a%20Growth%20Mindset%20in%20College%20Students%20Placed%20on%20Academic%20Probation.pdf
   Google Scholar
• Cano, F. (2006). An in-depth analysis of the Learning and Study Strategies Inventory (LASSI). Educational and Psychological Measurement, 66(6), 1023–1038. https://doi.org/https://doi.org/10.1177/0013164406288167
   Web of Science ®Google Scholar
• Cazan, A. (2012). Self-regulated learning strategies – Predictors of academic adjustment. Procedia – Social and Behavioral Sciences, 33, 104–108. https://doi.org/https://doi.org/10.1016/j.sbspro.2012.01.092
   Google Scholar
• CHE (Council on Higher Education). (2013). A proposal for undergraduate curriculum reform in South Africa: The case for a flexible curriculum structure. Council on Higher Education.
   Google Scholar
• Credé, M., & Kuncel, N. R. (2008). Study habits, skills, and attitudes: The third pillar supporting collegiate academic performance. Perspectives on Psychological Science, 3(6), 425–453. https://doi.org/https://doi.org/10.1111/j.1745-6924.2008.00089.x
   Web of Science ®Google Scholar
• Darling-Hammond, L., Flook, L., Cook-Harvey, C., Barron, B., & Osher, D. (2020). Implications for educational practice of the science of learning and development. Applied Developmental Science, 24(2), 97–140. https://doi.org/https://doi.org/10.1080/10888691.2018.1537791
   Web of Science ®Google Scholar
• DHET (Department of Higher Education and Training). (2004). Formal technikon instructional programmes in the RSA. Report 151 (01/04). https://www.dhet.gov.za/Reports%20Doc%20Library/Formal%20Technikon%20Instructional%20Programmes%20-%20Report%20151%20(0104)%20Diploma%20Programmes.pdf
   Google Scholar
• DHET (Department of Higher Education and Training). (2019). 2000 to 2016 first time entering undergraduate cohort studies for public higher education. Department of Higher Education and Training.
   Google Scholar
• Dill, A. L., Justice, C. A., Minchew, S. S., Moran, L. M., Wang, C., & Weed, C. B. (2014). The use of the LASSI (learning and study strategies inventory) to predict and evaluate the study habits and academic performance of students in a learning assistance program. Journal of College Reading and Learning, 45(1), 20–34. https://doi.org/https://doi.org/10.1080/10790195.2014.906263
   Google Scholar
• Dockrat, S. Y. (2016). Psychometric profiling of students at risk for academic underachievement at a university of technology. Unpublished doctoral thesis University of Pretoria.
   Google Scholar
• Duckworth, A. L., & Seligman, M. E. P. (2005). Self-discipline outdoes IQ in predicting academic performance of adolescents. Psychological Science, 16(12), 939–944. https://doi.org/https://doi.org/10.1111/j.1467-9280.2005.01641.x
   PubMed Web of Science ®Google Scholar
• Farrington, C. A., Roderick, M., Allensworth, E., Nagaoka, J., Keyes, T. S., Johnson, D. W., & Beechum, N. O. (2012). Teaching adolescents to become learners. The role of non-cognitive factors in shaping school performance: A critical literature review. University of Chicago Consortium on Chicago School Research.
   Google Scholar
• Fass-Holmes, B. (2016). International undergraduates’ retention, graduation, and time to degree. Journal of International Students, 6 (4), 933–955. Retrieved from https://files.eric.ed.gov/fulltext/EJ1125580.pdf. https://doi.org/https://doi.org/10.32674/jis.v6i4.327
   Web of Science ®Google Scholar
• Field, A. (2013). Discovering statistics using IBM SPSS statistics. Sage.
   Google Scholar
• Flowers, L. A., Bridges, B. K., & Moore, I. I. I. J. L. (2012). Concurrent validity of the learning and study strategies inventory (LASSI): A study of African American precollege students. Journal of Black Studies, 43(2), 146–160. https://doi.org/https://doi.org/10.1177/0021934711410881
   PubMed Web of Science ®Google Scholar
• Foxcroft, C., & Roodt, G. (2013). Introduction to psychological assessment in the South African context. Oxford University Press.
   Google Scholar
• Fry, H., Ketteridge, S., & Marshall, S. (2009). A handbook for teaching and learning in higher education: Enhancing academic practice. Routledge.
   Google Scholar
• Goff, A. (2011). Stressors, academic performance, and learned resourcefulness in baccalaureate nursing students. International Journal of Nursing Education Scholarship, 8(1). https://doi.org/https://doi.org/10.2202/1548-923X.2114
   Google Scholar
• Hattie, J., Biggs, J., & Purdie, N. (1996). Effects of learning skills interventions on student learning: A meta-analysis. Review of Educational Research, 66(2), 99–136. https://doi.org/https://doi.org/10.3102/00346543066002099
   Web of Science ®Google Scholar
• Hattie, J. A., & Donoghue, G. M. (2016). Learning strategies: A synthesis and conceptual model. NPJ: Science of Learning, 1(1). https://doi.org/https://doi.org/10.1038/npjscilearn.2016.13
   Google Scholar
• Jordan, J. D. (2016). Academic performance: A retrospective investigation of study skills and LASSI performance. Unpublished doctoral dissertation, Sam Houston State University. http://hdl.handle.net/20.500.11875/2407
   Google Scholar
• Kafka, T. (2016). A list of non-cognitive assessment instruments. Retrieved from https://ccrc.tc.columbia.edu/images/a-list-of-non-cognitive-assessment-instruments.pdf
   Google Scholar
• Lawson, L. A. (2009). The Learning and Study Strategies Inventory as a predictive measure of 1st semester academic performance of at-risk students. Unpublished master’s dissertation, Florida State University. Retrieved from file:///C:/Users/masonh/Downloads/PDF%20datastream.pdf
   Google Scholar
• Letseka, M., & Cosser, M. (2009). Pathways through higher education to the labour market: student retention, graduation and destination. HSRC client report for the Ford Foundation. Human Sciences Research Council.
   Google Scholar
• Lewin, T., & Mawoyo, M. (2014). Student access and success: Issues and interventions in South African universities. Inyathelo: The South African Institute for Advancement.
   Google Scholar
• Mabel, Z., & Britton, T. A. (2018). Leaving late: understanding the extent and predictors of college late departure. Social Science Research, 69, 34–51. https://doi.org/https://doi.org/10.1016/j.ssresearch.2017.10.001
   PubMed Web of Science ®Google Scholar
• Marland, J., Dearlove, J., & Carpenter, J. (2015). LASSI: an Australian evaluation of an enduring study skills assessment tool. Journal of Academic Language & Learning, 9 (2), 32–45. http://www.journal.aall.org.au/index.php/jall/article/view/327.
   Web of Science ®Google Scholar
• Mason, H. D. (2017). The efficacy of a strategic learning programme to enyhance first-year students’ academic skills and performance. Journal for New Generation Science, 15 (2), 66–87. Retrieved from https://journals.co.za/doi/pdf/ https://doi.org/10.10520/EJC-f09a1a868.
   Web of Science ®Google Scholar
• Mason, H. D. (2019). Evaluation of a study skills intervention programme: A mixed methods study. Africa Education Review, 16(1), 88–105. https://doi.org/https://doi.org/10.1080/18146627.2016.1241666
   Web of Science ®Google Scholar
• McIlroy, D., Palmer-Conn, S., Lawler, B., Poole, K., & Ursavas, Ö. F. (2017). Secondary level achievement: non-intellective factors implicated in the process and product of performance. Journal of Individual Differences, 38(2), 102–112. https://doi.org/https://doi.org/10.1027/1614-0001/a000227
   Web of Science ®Google Scholar
• Millikin, M. (2011). Promoting student success: evaluation of a freshman orientation course. Innovation and Empowerment: SNU-Tulsa Research Journal, 3(2), 1–14. https://silo.tips/download/running-head-promoting-student-success-evaluation-of-a-freshman-orientation-cour
   Google Scholar
• Moseki, M. M., & Schulze, S. C. (2010). Promoting self-regulated learning to improve achievement: A case study in higher education. Africa Education Review, 7(2), 356–375. https://doi.org/https://doi.org/10.1080/18146627.2010.515422
   Google Scholar
• NBT (National Benchmark Test). (2018). National benchmark tests: National report. Centre for Educational Testing for Access and placement. Retrieved from https://nbt.ac.za/sites/default/files/NBTPReport_2018.pdf
   Google Scholar
• OECD. (2010). Education at a Glance 2010: OECD indicators. https://doi.org/https://doi.org/10.1787/eag-2010-en.
   Google Scholar
• OECD. (2019). Education at a glance 2019: OECD indicators. https://doi.org/https://doi.org/10.1787/f8d7880d-en.
   Google Scholar
• Opperman, I., & Greyling, M. (2015). Predicting average marks in tertiary education using cognitive testing and secondary education performance. New Voices in Psychology, 11 (2), 87–106. Retrieved from https://www.researchgate.net/publication/312495558_Predicting_average_marks_in_tertiary_education_using_cognitive_testing_and_secondary_education_performance.
   Google Scholar
• Opperman, I., & Mason, H. D. (2020). Structure and norms of the learning and study strategy inventory: A comparison of South African and American samples. Journal of Psychology in Africa, 30(3), 187–191. https://doi.org/https://doi.org/10.1080/14330237.2020.1744300
   Web of Science ®Google Scholar
• Perez, W., Espinoza, R., Ramos, K., Coronado, H. M., & Cortes, R. (2009). Academic resilience among undocumented latino students. Hispanic Journal of Behavioral Sciences, 31(2), 149–181. https://doi.org/https://doi.org/10.1177/0739986309333020
   Web of Science ®Google Scholar
• Renzulli, S. J. (2015). Using learning strategies to improve the academic performance of university students on academic probation. NACADA Journal, 35 (1), 29–41. Retrieved from https://files.eric.ed.gov/fulltext/EJ1069272.pdf. https://doi.org/https://doi.org/10.12930/NACADA-13-043
   Google Scholar
• Schulmann, P., & Choudaha, R. (2014). International student retention and success: A comparative perspective. Retrieved from http://wenr.wes.org/2014/09/
   Google Scholar
• Scott, I. (2018). Designing the South African higher education system for student success. Journal of Student Affairs in Africa, 6(1), 1–17. https://doi.org/https://doi.org/10.24085/jsaa.v6i1.3062
   Google Scholar
• Scott, I., Yeld, N., & Hendry, J. (2007). A case for improving teaching and learning in South African higher education. Higher Education Monitor No 6. Retrieved from http://www.che.ac.za/documents/d000155/index.php.
   Google Scholar
• Scott, I., Yeld, N., & Hendry, J. (2007). A case for improving teaching and learning in South African higher education. Higher Education Monitor No 6. Council on Higher Education. Retrieved from http://www.che.ac.za/documents/d000155/index.php
   Google Scholar
• Shapiro, D., Dundar, A., Yuan, X., Harrell, A., Wild, J., & Ziskin, M. (2014). Some college, no degree: A national view of students with some college enrollment, but no completion (Signature Report No.7). National Student Clearinghouse Research Center. Retrieved from https://nscresearchcenter.org/wp-content/uploads/NSC_Signature_Report_7.pdf
   Google Scholar
• Sikhwari, T. D., & Pillay, J. (2012). Investigating the effectiveness of a study skills training programme. South African Journal of Higher Education, 26 (3), 606–622. https://doi.org/https://doi.org/10.20853/26-3-170.
   Google Scholar
• Statistics South Africa. (2016). Mid-year population estimates, 2016. Pretoria, South Africa: Statistics South Africa. Retrieved from https://www.statssa.gov.za/publications/P0302/P03022016.pdf
   Google Scholar
• Statistics South Africa. (2019). Education series volume V: Higher education and skills in South Africa, 2017. Retrieved from http://www.statssa.gov.za/publications/Report-92-01-05/Report-92-01-052017.pdf
   Google Scholar
• TUT. (Tshwane University of Technology). (2018). Student’s rules and regulations. Pretoria, South Africa; Tshwane University of Technology. https://www.tut.ac.za/ProspectusDocuments/2018/Chapter_2_2018.pdf
   Google Scholar
• Van Den Berg, M., & Hofman, W. (2005). Student success in university education: A multi-measurement study of the impact of student and faculty factors on study progress. Higher Education, 50 (3), 413–446. Retrieved from www.jstor.org/stable/25068105. https://doi.org/https://doi.org/10.1007/s10734-004-6361-1
   Web of Science ®Google Scholar
• Van Staden, L. J., & Ellis, S. (2017). Some variables influencing academic achievement: reading, motivation, learning strategies, learning approaches. Journal of Educational Studies, 16 (2), 113–131. https://hdl.handle.net/10520/EJC-f89606fdd.
   Google Scholar
• Van Wyk, B. J., & Basson, S. N. (2014). To wil or not to wil. Edulearn14 proceedings, 5246–5249. Barcelona, Spain. Retrieved from https://library.iated.org/view/VANWYK2014TOW
   Google Scholar
• Van Wyk, B. J., Hofman, W. A. H., & Louw, I. (2015). Impact of mathematics and physics on the success of South African engineering technology students. International Journal of Engineering Education, 31(4), 1158–1166. https://research.rug.nl/en/publications/impact-of-mathematics-and-physics-on-the-success-of-south-african
   Web of Science ®Google Scholar
• Weinstein, C. E., Palmer, D. R., & Acee, T. W. (2016). User’s manual: Learning and Study Strategies (3rd ed.). H&H Publishing Company, Inc.
   Google Scholar
• Weinstein, C. E., Schulte, A., & Palmer, D. (1987). LASSI: Learning and Study Strategies Inventory. H & H Publishing.
   Google Scholar
• Wilson-Strydom, M. (2015). University access and success: Capabilities, diversity and social justice. Routledge.
   Google Scholar
• Yeager, D. S., & Dweck, C. S. (2012). Mindsets that promote resilience: when students believe that personal characteristics can be developed. Educational Psychologist, 47(4), 302314. https://doi.org/https://doi.org/10.1080/00461520.2012.722805
   Web of Science ®Google Scholar
• Zimmerman, B. J. (2000). Attaining self-regulated learning: Asocial-cognitive perspective. In M. Boekaerts, P. Pintrich, & M. Zeidner (Eds.), Handbook of Self-Regulation (pp. 13–39). Academic Press.
   Google Scholar
• Zimmerman, B. J. (2002). Becoming a self-regulated learner: an overview. Theory into Practice, 41(2), 64–70. https://doi.org/https://doi.org/10.1207/s15430421tip4102_2
   Web of Science ®Google Scholar