1. EXAMINING AN INNOVATIVE UNDERGRADUATE DISSERTATION APPROACH: AN INTERNATIONAL STUDENT PERSPECTIVE Presentation by Dr Simon M Smith, UCLan 20/06/2013

2.  Initial data analysis regarding a project on undergraduate dissertations  Longitudinal study over 1 year (for final year students) – 5 temporal points  Researches a unique approach towards writing a dissertation  100% international students

3.  Under-researched area of study (Greenbank et al., 2008; Heinze and Heinze, 2009)  “we believe that the dissertation … remains valid, relevant and purposeful” (Derounian, 2011)  The issue of managing larger cohorts (Day and Bobeva, 2007) has led to innovative approaches (Akister et al., 2009)

4.  3 examples of competency values that can impact on autonomous learning (Greenbank and Penketh, 2009):  Previous experiences of writing  Level of confidence in their ability to write  Nature of their relationship from those they seek advice from  Definitely worth exploring these issues with international students (i.e. second language learners)

5.  4 stages of 6000 word dissertation:  Proposal: formative feedback  Literature review (2000 words): January deadline  Data analysis and discussion (2000 words): March deadline  Final dissertation (whereby introduction, research methods and conclusions are primarily marked)  At five temporal points, data were collected

6.  310 dissertation students (total of 546 responses)  Questionnaire 1: 144 responses (46.5%)  Questionnaire 2: 104 responses (33.5%)  Questionnaire 3: 172 responses (55.5%)  Questionnaire 4: 79 responses (25.5%)  Questionnaire 5: 47 responses (15%)  Data were fed into SPSS

9. QuestionsQuestionnaire Question codesOut of12345 4 Course happiness 5 3.78 (0.77) 3.74 (0.80) 3.48 (0.66) 3.87 (0.68) 3.80 (0.86) 5 Transition 5 2.29 (0.85) 2.16 (0.870) 2.18 (0.84) 1.93 (0.60) NA 6 Module happiness5 3.80 (0.73) 3.55 (0.74) 3.21 (0.85) 3.69 (0.872) NA 7 Ass’t anxiety 4 2.36 (0.77) 2.36 (0.75) 2.34 (0.65) NA 8 Challenge 5 3.12 (0.79) 2.92 (0.68) 2.82 (0.87) 2.59 (0.82) NA 9 Mark/ feedback5NA 3.06 (0.99) 3.73 (0.91) 3.59 (0.95) 10 Feedback/ usefulness5NA 3.41 (0.89) 3.63 (0.85) NA 11 Support 5NA 3.53 (0.88) 3.65 (0.94) NA 12 Next ass’t anxiety4 2.22 (0.73) 2.31 (0.73) 2.42 (0.72) 2.30 (0.78) NA 13 Confidence4 2.56 (0.72) 2.57 (0.71) 2.40 (0.69) 2.94 (0.84) NA 14 Content relevance4 1.87 (0.56) 2.00 (0.63) 2.15 (0.58) 1.94 (0.61) NA 15 Lang’ Understanding5 2.28 (0.93) 2.07 (0.87) 2.20 (0.88) 1.92 (0.84) NA 16 Teaching style42.46 (0.81) NA

10.  Student perceptions of marks changed for different assessments:  Literature review mark:  Negative = 27.4% versus Positive = 32%  Data analysis and discussion mark:  Negative = 8.9% versus Positive = 58.2%  Final dissertation mark:  Negative = 12.7% versus Positive = 59.6%  Interestingly, the negative responses for feedback on the assessment and support from the tutor do not coincide with these – they are generally more positive

11.  Happiness on the course remained fairly consistent throughout the study  However, happiness with the dissertation module changed significantly in questionnaire 3  Here are the accumulative questionnaire responses that were negative (questionnaire 1-4): 2.1% to 6.7% to 17.5% to 9.1%  Coincides with the first summative mark given to the students for the literature review  It is clear that, for some students, there were some real issues on this module

12.  Chinese students struggled much more with transition into UK life, as well as with understanding the language in class – these issues remained persistent throughout the year; it only reduced slightly over time  Spanish and French students are a distant second and third respectively  German, Italian, Turkish, and Vietnamese students have found transition comfortable or simple

13.  Marks, feedback and support  Nationality, transition and understanding of the language  Course happiness and module happiness  Anxiety of assessments and challenge of assessments  Relevance of classroom input and support from the tutor

14.  Finishing the data analysis using SPSS  Draw together overarching findings and conclusions  Collecting further qualitative data – contacting former students and possibly staff (if time permits)  Produce a REFable paper