Enabling teachers to explore grade patterns to identify individual needs and promote fairer student assessment

Computers and Education

Volumn 51, Issue 4, 2008, Pages 1467-1485

  Friedler, Sorelle A ^a   Tan, Yee Lin ^a   Peer, Nir J ^a   Shneiderman, Ben ^a  

^a Institute of Advanced Computer Science   (United States)

Author keywords

Evaluation methodologies; Human computer interface; Improving classroom teaching; Pedagogical issues; Teaching learning strategies

Indexed keywords

EDUCATION; STUDENTS;

DATA POINTS; EVALUATION METHODOLOGIES; HUMAN-COMPUTER INTERFACE; IMPROVING CLASSROOM TEACHING; PEDAGOGICAL ISSUES; QUERY RESPONSE; REFLECTIVE PRACTICES; SCATTER PLOTS; SPECIAL NEEDS; STUDENT ASSESSMENT; TEACHING/LEARNING STRATEGIES; VISUALIZATION TOOLS;

TEACHING;

EID: 49449113438     PISSN: 03601315     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.compedu.2008.01.005     Document Type: Article

References (38)

1. Ahlberg, C., Shneiderman, B. (1994). Visual information seeking: Tight coupling of dynamic query filters with starfield displays. In Human factors in computing systems. Conference proceedings CHI'94 (pp. 313-317).
2. Ahlberg C. Spotfire: An information exploration environment. ACM SIGMOD 25 4 (1996) 25-29
3. Byrne M.D., Catrambone R., and Stasko J.T. Evaluating animations as student aids in learning computer algorithms. Computers and Education 33 (1999) 253-278
4. CalEd Software (2007). Class action gradebook. .
5. Champion, J. (2007) Zedgraph. .
6. Chang K.-E., Sung Y.-T., and Chen S.F. Learning through computer-based concept mapping with scaffolding aid. Journal of Computer Assisted Learning 17 (2001) 21-33
7. Cheang B., Kurnia A., Lim A., and Oon W.-C. On automated grading of programming assignments in an academic institution. Computers and Education 41 (2003) 121-131
8. Chintalapani, G., Plaisant, C., Shneiderman, B. (2004). Extending the utility of treemaps with flexible hierarchy. In Proceedings of the international conference on information visualization (pp. 335-344).
9. Dewhurst D.G., MacLeod H.A., and Norris T.A.M. Independent student learning aided by computers: An acceptable alternative to lectures?. Computers and Education 35 (2000) 223-241
10. Doolittle A.E. Classroom assessment: What teachers need to know (2nd ed.). Journal of Educational Measurement 39 1 (2002) 85-90
11. Douce C., Livingstone D., and Orwell J. Automatic test-based assessmed of programming: A review. Journal on Educational Resources in Computing (JERIC) 5 (2005) page Article No. 4
12. Edwards, S. H. (2003). Teaching software testing: Automatic grading meets test-first coding. In Companion of the 18th annual ACM SIGPLAN conference OOPSLA (Vol. 18, pp. 318-319).
13. Eick S.G. Data visualization sliders. UIST'94: Proceedings of the 7th annual ACM symposium on user interface software and technology (1994), ACM Press, New York, NY, USA 119-120
14. Garfield J.B. Beyond testing and grading: Using assessment to improve student learning. Journal of Statistics Education 2 1 (1994)
15. Gradelink (2007). Gradelink. .
16. Harrower M., and Brewer C.A. Colorbrewer.org: An online tool for selecting colour schemes for maps. The Cartographic Journal 40 (2003) 27-37.
17. iParadigms LLC (2007). Turnitin: Digital assessment suite. .
18. Jackson, D., Usher, M. (1997). Grading student programs using assyst. In Proceedings of the SIGCSE technical symposium on computer science education (Vol. 28, pp. 335-339).
19. Kreijns K., Kirschner P.A., and Jochems W. Identifying the pitfalls for social interaction in computer-supported collaborative learning environments: A review of the research. Computers in Human Behavior 19 (2003) 335-353
20. Kvale S. Interviews: An introduction to qualitative research interviewing (1996), Sage Publications Inc. (pp. 187-209)
21. Li, Q., North, C. (2003). Empirical comparison of dynamic query sliders and brushing histograms. In Proceedings of the IEEE symposium on information visualization (pp. 147-154).
22. McCaffrey J. Test run: The analytic hierarchy process 20 6 (2005) 139-144
23. McGraw-Hill Higher Education (2007). Mathzone. .
24. Microsoft (2007). Excel. .
25. Moore, G. A. (1999). Crossing the chasm: Marketing and selling high-tech products to mainstream customers, Harper business.
26. Naur P. Automatic grading of students' algol programming. BIT 4 (1964) 177-188
27. OnCourse Systems for Education (2007). Oncourse: Systems for education. .
28. Page E.B. Computer grading of student prose, using modern concepts and software. Journal of Experimental Education 62 (1994) 127-142
29. Pearson Education (2007). Mygradebook. .
30. Popham W.J. Classroom assessment: What teachers need to know. 2nd ed. (1998), Prentice Hall
31. Rubin H.J., and Rubin I.S. Qualitative interviewing: The art of hearing data. 2nd ed. (2004), Sage Publications Inc.
32. Seo J., and Shneiderman B. A rank-by-feature framework for interactive exploration of multidimensional data. Information Visualization 4 2 (2005) 99-113
33. Shneiderman B., and Plaisant C. Designing the user interface: Strategies for effective human-computer interaction. 4th ed. (2004), Addison Wesley
34. Spacco J., Hovemeyer D., Pugh W., Hollingsworth J., Padua-Perez N., and Emad F. Experiences with marmoset: Designing and using an advanced submission and testing system for programming courses. ITiCSE'06: Proceedings of the 11th annual conference on Innovation and technology in computer science education (2006), ACM Press. 1-59593-055-8
35. Stiggins R.J. Evaluating classroom assessment training in teacher education programs. Educational measurement: Issues and practice 18 1 (1999) 23-27
36. Thomas, J. J., Cook, K. A. (Eds.) (2005). Illuminating the path: The research and development agenda for visual analytics. US DOH National Visualization and Analytics Center.
37. Walvoord B.E., and Anderson V.J. Effective grading: A tool for learning and assessment (1998), Jossey-Bass Publishers
38. Weller H.G. Assessing the impact of computer-based learning in science. Journal of Research on Computing in Education 28 (1996) 461-485