Barriers to student success in engineering education

ABSTRACT In the UK, the USA and Australia, there have been calls for an increase in the number of engineering graduates to meet the needs of current global challenges. Universities around the world have been grappling with how to both attract more engineering students and to then retain them. Attrition from engineering programmes is disturbingly high. This paper reports on an element of research undertaken through an Australian Learning and Teaching Council-funded Fellowship that investigated the factors leading to student attrition in engineering programmes, by identifying barriers to student success. Here, we contrast a review of the literature related to student barriers and success with student perceptions, gathered through a series of focus groups and interviews at three Australian universities. We also present recommendations for action to try to remove barriers to student success.

[1]  Matthew W. Ohland,et al.  Identifying Factors Influencing Engineering Student Graduation: A Longitudinal and Cross‐Institutional Study , 2004 .

[2]  Kelly E. Matthews,et al.  Social learning spaces and student engagement , 2011 .

[3]  Radhika Suresh,et al.  The Relationship between Barrier Courses and Persistence in Engineering , 2006 .

[4]  Saundra Y. McGuire,et al.  Teach Students How to Learn: Strategies You Can Incorporate Into Any Course to Improve Student Metacognition, Study Skills, and Motivation , 2015 .

[5]  J. McMillan,et al.  Course change and attrition from higher education , 2005 .

[6]  J. Burtner.  The Use of Discriminant Analysis to Investigate the Influence of Non‐Cognitive Factors on Engineering School Persistence , 2005 .

[7]  Donald Markwell,et al.  A Large and Liberal Education: Higher Education for the 21st Century , 2007 .

[8]  Esat Alpay.  Student attraction to engineering through flexibility and breadth in the curriculum , 2013 .

[9]  Stuart Palmer,et al.  Delivery and Assessment Strategies to Improve on- and off-Campus Student Performance in Structural Mechanics , 2007 .

[10]  B. Zimmerman.  A social cognitive view of self-regulated academic learning. , 1989 .

[11]  Tara Newman,et al.  Maximizing graduate capabilities: Linking knowledge, skills, and workplace experiences , 2014 .

[12]  A. Bandura.  Social Foundations of Thought and Action: A Social Cognitive Theory , 1985 .

[13]  K Wall,et al.  Engineering: issues, challenges and opportunities for development , 2010 .

[14]  Richard M. Felder,et al.  A Longitudinal Study of Engineering Student Performance and Retention: I. Success and Failure in the Introductory Course , 1993 .

[15]  Leonard Springer,et al.  Effects of Small-Group Learning on Undergraduates in Science, Mathematics, Engineering, and Technology: A Meta-Analysis , 1997 .

[16]  Max Scheja,et al.  Delayed Understanding and Staying in Phase: Students’ Perceptions of their Study Situation , 2006 .

[17]  R. Felder,et al.  The Effects of Personality Type on Engineering Student Performance and Attitudes , 2002 .

[18]  R. Felder,et al.  A Longitudinal Study of Engineering Student Performance and Retention , 1992, Proceedings. Twenty-Second Annual conference Frontiers in Education.

[19]  C. Baillie,et al.  Motivation and attrition in engineering students , 2000 .

[20]  G. Cousin.  Researching Learning in Higher Education: An Introduction to Contemporary Methods and Approaches , 2008 .

[21]  Vincent Tinto,et al.  Research and Practice of Student Retention: What Next? , 2006 .

[22]  Stephen Lee,et al.  Predicting performance of first year engineering students and the importance of assessment tools therein , 2008 .

[23]  Don Passey,et al.  Globalisation of Next Generation Technology Enhanced Learning Environment (TELE) for STEM Learning: Contexualizations in the Asia-Pacific Region , 2013, 2013 IEEE Fifth International Conference on Technology for Education (t4e 2013).

[24]  Anouk Donker-Bergstra,et al.  Effective Strategies for Self-regulated Learning : A Meta-Analysis , 2013 .

[25]  G. Gibbs,et al.  Conditions Under Which Assessment Supports Students’ Learning , 2005 .

[26]  Leonard Springer.  EFFECTS OF SMALL-GROUP LEARNING ON UNDERGRADUATES , 2012 .

[27]  George D. Kuh,et al.  First- and Second-Generation College Students: A Comparison of Their Engagement and Intellectual Development , 2005 .

[28]  E. Seymour,et al.  Talking About Leaving: Why Undergraduates Leave The Sciences , 1997 .

[29]  Campus Learning Spaces: Investing in How Students Learn , 2005 .

[30]  C. Vogt,et al.  Faculty as a Critical Juncture in Student Retention and Performance in Engineering Programs , 2008 .

[31]  K. Patricia Cross,et al.  Collaborative Learning Techniques: A Handbook for College Faculty , 2004 .

[32]  Richard M. Felder,et al.  A Longitudinal Study of Engineering Student Performance and Retention. IV. Instructional Methods , 1995 .

[33]  Matthew Ohland,et al.  Identifying Factors Influencing Engineering Student Graduation and Retention: A Longitudinal and Cross-Institutional Study , .

[34]  David W. Johnson,et al.  Pedagogies of Engagement: Classroom‐Based Practices , 2005 .

[35]  Eric Hamilton,et al.  Conceptualizing Engagement: Contributions of Faculty to Student Engagement in Engineering , 2008 .

[36]  Richard M. Felder,et al.  A Longitudinal Study of Engineering Student Performance and Retention. V. Comparisons with Traditionally‐Taught Students , 1998 .

[37]  Päivi Tynjälä,et al.  Factors related to study success in engineering education , 2005 .

[38]  A. Astin.  Student involvement: A developmental theory for higher education. , 1999 .

[39]  Nigel Spinks,et al.  Educating Engineers for the 21st Century: The Industry View , 2006 .

[40]  Vincent Tinto,et al.  Classrooms as Communities: Exploring the Educational Character of Student Persistence. , 1997 .

[41]  David Kember,et al.  Characterising a teaching and learning environment conducive to making demands on students while not making their workload excessive , 2006 .