The effects of a computerized-algebra program on Mathematics Achievement of College and University Freshmen Enrolled in a Developmental Mathematics Course

Journal of College Reading and Learning

Volumn 39, Issue 1, 2008, Pages 35-53

  Taylor, Judy M ^a  

^a Le Iourneau University   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 78449276352     PISSN: 10790195     EISSN: None     Source Type: Journal    
DOI: 10.1080/10790195.2008.10850311     Document Type: Article

References (54)

1. ALEKS” (2001). T.H.E. Journal 28(9). Retrieved October 26, 2002, from http://www.thejournal.com/.
2. Acelajado, M. J., (2001). The impact of using technology on students' achievement, attitude, and anxiety in mathematics. Retrieved August 12, 2005, from De La Salle University, Manila Philippines Web site:http://www.mathematics.ecnu.edu.cn/earcome3/sym3/Earcome3_Maxima%20J_sym3.doc.
3. Alkhateeb, H. M., (2004). Internal consistency reliability and construct validity of an Arabic translation of the shortened form of the Fennema-Sherman Mathematics Attitude Scale. Psychological Reports, 94, 565–571.
4. American Educational Research Association. (2006). Standards for reporting on empirical social science research in AERA publications. Educational Researcher, 35(6), 33–40.
5. Boylan, H., (2002). What works:Research-Based best practices in developmental education. Boone, NC:National Center for Developmental Education.
6. Boylan, H., Bonham, B., & Bliss, L., (1994). Who are the developmental students? Research in Developmental Education, 11(2), 1–4.
7. Boylan, H., & Saxon, P., (2004). Outcomes of remediation:Prepared for the League for Innovation in the Community College. Retrieved May 11, 2005, from Appalachian State University, Boone, NC Web site:http://www.ncde.appstate.edu/reserve_reading/Outcomes_of_Remediation.htm.
8. Capraro, M. M., Capraro, R. M., & Henson, R. K., (2001). Measurement error of scores on the Mathematics Anxiety Rating Scale across studies. Educational and Psychological Measurement, 61, 373–386.
9. Casazza, M. E., (1999). Who are we and where did we come from? Journal of Developmental Education, 23(1), 1–7.
10. Cohen, J., (1988). Statistical power analysis for the behavioral sciences (2nd ed.). Hillsdale, NJ:Lawrence Erlbaum.
11. Crocker, L., & Algina, J., (1986). Introduction to classical & modern test theory. Belmont, CA:Waldworth Group/Thomson Learning.
12. Cross, K. P., (1971). Beyond the open door. San Francisco:Jossey-Bass.
13. Cross, K. P., (1976). Accent on learning. San Francisco:Jossey-Bass.
14. Dwindell, P. L., & Higbee, J. L., (1991). Affective variables related to mathematics achievement among high-risk college freshmen. Psychological Reports, (69), 399–403.
15. Fennema, E., & Sherman, J. A., (1976). Fennema-Sherman mathematics attitudes scales:Instruments designed to measure attitudes towards the learning of mathematics by females and males. Journal for Research in Mathematics Education, 7, 324–326.
16. Goolsby, C. B., Dwindell, P. L., Higbee, J. L., & Bretscher, A. S., (1988). Factors affecting mathematics achievement in high risk college students. Research & Teaching in Developmental Education, 4(2), 18–27.
17. Henson, R. K., (2001). Understanding internal consistency reliability estimates:A conceptual primer on coefficient alpha. Measurement & Evaluation in Counseling & Development, 34, 177–189.
18. Jones, E. D., Wilson, R., & Bhojwani, S., (1997). Mathematics instruction for secondary students with learning disabilities. Journal of Learning Disabilities, 30, 151–163.
19. Keup, J. R., (1998). Using technology in remedial education. Retrieved October 26, 2002, from http://www.gse.ucla.edu/ERIC/eric.html. (ERIC Document Reproduction Service No. ED421180).
20. Kinney, D. P., (2001). An application of developmental theory in a developmental mathematics program. Journal of Developmental Education, 25(2), 10–18.
21. Kinney, D. P., (2002a) Implementation models for interactive multimedia software in developmental mathematics. In M. R., Hay & N. L., Ludman (Eds.), 2001 Selected conference papers (pp. 35–40). Dowagiac, MI:National Association for Developmental Education.
22. Kinney, D. P., (2002b). Students with disabilities in mathematics:Barriers and recommendations. The AMATYC Review, 23(1), 13–23.
23. Kinney, D. P., & Kinney, L. S., (2002). Instructors' perspectives of instruction in computer-mediated and lecture developmental mathematics classes. In J. L., Higbee, I. M., Duranczyk, & D. B., Lundell (Eds.), Developmental education:Policy and practice (pp. 127–138). Warrensburg, MO:National Association for Developmental Education.
24. Kinney, D. P., & Robertson, D. F., (2003). Technology makes possible new models for delivering developmental mathematics instruction. Mathematics and Computer Education, 37, 315–328.
25. Kinney, D. P., Stottlemyer, J., Hatfield, J., & Robertson, D. F., (2004). A comparison of the characteristics of computer-mediated and lecture students in developmental mathematics. Research & Teaching in Developmental Education, (21), 14–28.
26. Kulik, C. L., & Kulik, J., (1986). Effectiveness of computer-based education in colleges. AEDS Journal, 19, 81–108.
27. Lundell, D. B., Higbee, J. L., Chung, C., Ghere, D., & Kinney, D. P., (2001). Setting the pace:Theoretical perspectives for developmental education. In M. R., Hay & N. L., Ludman (Eds.), 2001 Selected conference papers (pp. 45–49). Dowagiac, MI:National Association for Developmental Education.
28. Ma, X., (1999). A meta-analysis of the relationship between anxiety toward mathematics and achievement in mathematics. Journal for Research in Mathematics Education, 30, 520–540.
29. Maxwell, W. E., (1979). Improving student learning skills. San Francisco:Jossey Bass.
30. McDade, R., (2000). No one to waste:A report to public decision-makers and community college leaders. Washington, DC:Community College Press.
31. National Center for Education Statistics (NCES). (1996). Remedial education in higher education institutions in the fall of 1995. Washington, DC:U.S. Department of Education, Office of Educational Research and Improvement.
32. National Center for Education Statistics (NCES). (2000). Remedial education at degree-granting postsecondary institutions in fall 2000. Retrieved June 15, 2006, from http://nces.ed.gov/pubs2004/2004010.pdf.
33. National Center for Education Statistics (NCES). (2003). The condition of education 2003(NCES 2003–067). Washington, DC:U.S. Department of Education.
34. National Commission on Excellence in Education (NCEE). (1998). A nation still at risk. Retrieved June 15, 2006, from the Thomas B. Fordham Foundation Web site:http://www.fordham.org/library/manifes.html.
35. National Council of Teachers of Mathematics (NCTM). (1989). Curriculum and evaluation standards for school mathematics. Reston, VA:Author.
36. National Council of Teachers of Mathematics (NCTM). (2000). Principles and standards for school mathematics. Reston, VA:Author.
37. Pallant, J., (2001). SPSS survival manual. Buckingham, PA:Open University Press.
38. Paravate, V., Anjaneyulu, K. S. R., & Rajan, P., (1998). Math magic:An adaptive remediation system for mathematics. The Journal of Computers in Mathematics and Science Teaching, 17, 265–284.
39. Robert, M. F., (2002). Problem solving and at-risk students:Making “mathematics for all” a classroom reality. Teaching Children Mathematics, 8, 290–295.
40. Roueche, J., & Roueche, S., (1993). Between a rock and a hard place. The at-risk student in the open door college. Washington, DC:The Community College Press.
41. Saxon, P., & Boylan, H., (1999). Characteristics of community college remedial students. [Research]. Appalachian State University, The League for Innovation in the Community College.
42. Schwartz, A., (2000). Axing mathematics anxiety. The Education Digest, 65, 62–64.
43. Scott, V., (2001). Mathematical mediocrity:The legacy of mathematics education. Principal Leadership [High School Ed.], 2(2), 7–9.
44. Steele, D. F., & Arth, A. A., (1998). Lowering anxiety in the mathematics curriculum. The Education Digest, 63, 18–23.
45. Strawser, S., & Miller, S. P., (2001). Mathematics failure and learning disabilities in the postsecondary student population. Topics in Language Disorders, 21(2), 68–84.
46. Suinn, R. M., & Winston, E. H., (2003). The Mathematics Anxiety Rating Scale brief version:Psychometric data. Psychological Reports, 92, 167–173.
47. Tapia, M., & Marsh, G. E., (2004). An instrument to measure mathematics attitudes. Academic Exchange Quarterly, 8(2), 16–18.
48. Texas Education Coordinating Board. (2005). Developmental education data profile. Retrieved May 1, 2008, from http://www.thecb.state.tx.us/.
49. OS/SuccessInitiatives/DevEd/DEData/.
50. Thomas, P., & Higbee, J., (1999). Affective and cognitive factors related to mathematics achievement. Journal of Developmental Education, 23(1), 8–16.
51. Thomas, P. V., & Higbee, J. L., (2000). The relationship between involvement and success in developmental algebra. Journal of College Reading and Learning, 30, 222–232.
52. Thompson, B., (2003). Score reliability:Contemporary thinking on reliability issues. Thousand Oaks, CA:Sage.
53. Webb, J., & Hlavaty, J., (1962). National Achievement Test:First Year Algebra Test. Huntsville, AL:Psychometric Affiliates.
54. Wilkinson, L., & Task Force on Statistical Inference. (1999). Statistical methods in psychology journals:Guidelines and explanations. American Psychologist, 54, 594–604.