A Structured Approach to Honours Undergraduate Research Course, Evaluation Rubrics and Assessment

Journal of Science Education and Technology

Volumn 22, Issue 5, 2013, Pages 630-650

  Khoukhi, Amar ^a  

^a KING FAHD UNIVERSITY OF PETROLEUM AND MINERALS   (Saudi Arabia)

Author keywords

Course design; Evaluation rubrics; Honours Undergraduate Research; Science, technology, Engineering and mathematics (STEM); Undergraduate Research Program

Indexed keywords

EID: 84884203322     PISSN: 10590145     EISSN: 15731839     Source Type: Journal    
DOI: 10.1007/s10956-012-9419-3     Document Type: Article

References (46)

1. ABET (2007a) Accreditation board for engineering and technology. From http://en. wikipedia. org/wiki/ABET.
2. ABET (2007b). Accreditation board for engineering and technology (ABET). From www. abet. org/.
3. Al-Arfaj I, Khoukhi A (2012) Prediction of rate of penetration using extreme learning machines. In: 7th Symposium on Instrumentation System and Control (SISC), KFUPM, Dhahran KSA, 13-14 May.
4. Al-Salamah M, Al-Ghamdi F, Al-Khaldi M, Khoukhi A (2012) Minimizing the tardiness in a single machine batch processing. In: International conference on industrial engineering and operations management (IEOM 2012). Istanbul, Turkey, 3-6 July.
5. Andalon R (2011) Undergraduate research methods course, (AMST 392). University of Southern California, Spring. http://mcnair. usc. edu/Undergraduate-Research-Methods-Course-Syllabus. pdf. Accessed 3 April 2011.
6. ATR (2012). http://www. edu/ATR/resourcelinks/Science_Rubrics. pdf. Accessed 3 Oct 2012.
7. Balster N, Pfund C, Rediske R, Branchaw J (2010) Entering research. A course that creates community and structure for beginning undergraduate researchers in the STEM disciplines CBE. Life Sci Educ 9: 108-118.
8. Bauer KW, Bennett JS (2003) Alumni perceptions used to assess undergraduate research experience. J High Educ 74(2): 210-230.
9. Biggs J (1999) Teaching for quality learning at university. SRHE and Open University Press, Buckingham.
10. Bloom BS (1956) Taxonomy of educational objectives, handbook I: the cognitive domain. David McKay Co Inc., New York.
11. Bourgoyne AT Jr, Young FS (1974) A multiple regression approach to optimal drilling and abnormal pressure detection, SPE 4238. SPE J 14(4): 371-384.
12. Boyd MK, Wesemann JL (eds) (2009) Broadening participation in undergraduate research: fostering excellence and enhancing the impact. Council on Undergraduate Research, Washington.
13. Collier K (1998) Research opportunities for undergraduates. Stud High Educ 23(3): 349-356.
14. Council for the Advancement of Standards in Higher Education (CAS) (2009) CAS learning and development outcomes, 7th edn. CAS Professional Standards for Higher Education, Washington.
15. Damodaran P, Krishnaswami S, Sarah LS (2007) Scheduling a capacitated batch-processing machine to minimize makespan. Robot Comput Integr Manuf 23: 208-216.
16. DeHaan RL (2005) The impending revolution in undergraduate science education. J Sci Educ Technol 14: 253-269.
17. DSR-KFUPM (2012). http://www1kfupm. edu. sa/dsr/Grants. htm. Accessed 3 Oct 2012.
18. STEM Education (2012) Conference on transforming research in STEM education. http://www. chem. purdue. edu/towns/TRUSE/TRUSE%20docs/Poster%20Session%201%20Abstracts20%v2. pdf.
19. Eren T (2010) Real-time-optimization of drilling parameters during drilling operations. PhD Dissertation, Technical University of the Middle East, Turkey.
20. GAMS (2012). http://www. gams. com/. Accessed 3 Oct 2012.
21. HEAcademy (2012). http://www. heacademy. ac. uk/assets/documents/resources/publications/DevelopingUndergraduate_Final. pdf. Accessed 3 Oct 2012.
22. Huang G-B (2010) Extreme learning machine: learning without iterative tuning. http://www. extreme-learning-machines. org/.
23. Khoukhi A (2011) Work in progress-undergraduate research course design at KFUPM. A basic stating experience, In: frontiers in education conference, celebrating 41 Years of monumental innovations from around the World, Rapid City, South Dakota, 12-15 Oct.
24. Khoukhi A, Al-Arfaj I (2012) Rate of penetration prediction and optimization using advances in artificial neural networks. A comparative study, NCTA' 12, Barcelona, Spain, 3-7 Oct.
25. Lapatto D (2009) Science in solution: the impact of undergraduate research on student learning. Research Corporation for Science Advancement. http://web. grinnell. edu/sureiii/Science_in_Solution_Lopatto. pdf. Accessed 2 Oct 2012.
26. Lauren S, Hunter A-B, Seymour E, Thirty H, Melton G (2010) Undergraduate research in the science. engaging students in real science. Wiley, New York.
27. Mathworks (2012). www. mathworks. com. Accessed 3 Oct 2012.
28. Mcnair (2012). http://mcnair. usc. edu/scholars_all. Accessed 3 Oct 2012.
29. Moran D, Hani I, Purwanto A (2010) Sophisticated ROP prediction technologies based on neural networks delivers accurate drill time result. In: SPE Asia Pacific drilling technology conference and exhibition.
30. Motahhari HR, Hareland G, Nyqaard R, Bond B (2009) Method of optimizing motor and bit performance for maximum ROP. J Can Pet Technol 48(6): 44-48.
31. NASA (2012). htpp://usrp. usra. edu/. Accessed 3 Oct 2012.
32. Newell JA, Dahm KD, Newell HL (2002) Rubric development and inter-rater reliability issues in assessing learning outcomes. Chem Eng Educ 36(3): 212-215.
33. NSF (2005) Research experiences for undergraduates. www. nsf. gov/home/crssprgm/reu. Accessed 3 Oct 2012.
34. Russell SH, Hancock MP, McCullough J (2007) Benefits of undergraduate research experiences. Science 316: 548-549.
35. Schaefera D, Panchalb JH (2009) Incorporating research into undergraduate design courses: a patent-centered approach. Int J Mech Eng Educ 37/2: 97-111.
36. SEUGR-KFUPM (2011). https:\\seugr. ikfupm. com. Accessed 3 Oct 2012.
37. Seymour E, Hunter A-B, Laursen SL, DeAntoni T (2004) Establishing the benefits of research experiences for undergraduates in the sciences: first findings from a three-year study. Sci Educ 88: 493-534. http://www3. interscience. wiley. com/cgi-bin/fulltext/108561292/.
38. Smith K, Clegg S, Lawrence E, Todd M (2005) Fostering autonomy through work-based experiences: challenges for university educators and students. J Learn Teach Soc Sci 1(3): 189-204.
39. SURE (2012). http://www. grinnell. edu/academic/csla/assessment/sure. Accessed 3 Oct 2012.
40. Thiry H, Laursen SL (2011) The role of student-advisor interactions in apprenticing undergraduate researchers into a scientific community of practice. J Sci Educ Technol 20: 771-784.
41. UKHE (2012). http://www. tlrp. org/pub/documents/UKHEfinal. pdf. Accessed 3 Oct 2012.
42. URP, University of Washington (2012). http://www11. cac. washington. edu/research/urp/index. html. Accessed 3 Oct 2012.
43. Villarejo M, Barlow AEJ, Kogan D, Veazey BD, Sweeney JK (2008) Encouraging minority undergraduates to choose science careers: career paths survey results. CBE Life Sci Educ 7: 394-409.
44. Wikipedia (2012). http://en. wikipedia. org/wiki/Rubric_(academic). Accessed 3 Oct 2012.
45. Woodin T, Smith D, Allen D (2009) Feature from the national science foundation transforming undergraduate biology education for all students: an action plan for the twenty-first century. CBE-Life Sci Educ 8: 271-273 (Winter).
46. Yashodhan G, Hani I, Purwanto A, Bits S (2011) Real-time drilling parameter optimization system increases ROP by predicting/managing bit wear. SPE Digital Energy conference and Exhibition. The Woodlands, Texas, USA, 19-21 April.