Challenges in supporting self-regulation in distance education environments

被引:89
作者
Bol, Linda [1 ]
Garner, Joanna K. [2 ]
机构
[1] Old Dominion Univ, Darden Coll Educ, Educ Fdn & Leadership, Norfolk, VA 23508 USA
[2] Old Dominion Univ, Darden Coll Educ, Ctr Educ Partnerships, Norfolk, VA 23508 USA
关键词
Self-regulated learning; Calibration; Executive functioning; Instructional design; Distance education; CALIBRATION ACCURACY; EXECUTIVE FUNCTION; CHILDREN; PERFORMANCE; ABSOLUTE; SKILLS;
D O I
10.1007/s12528-011-9046-7
中图分类号
G40 [教育学];
学科分类号
040101 ; 120403 ;
摘要
This article considers the application of selected components of self-regulated learning (SRL; Zimmerman 2000) to student-content interaction in online learning and distance education (DE). In particular we discuss how, when interacting with electronically enhanced text, students must carefully employ self-regulated learning strategies that include planning, goal setting, self-monitoring processes, and calibration judgments. Because the student is often learning independently in DE courses, and because of the potential for non-linear navigation through online learning materials, we argue that the careful deployment of SRL skills is especially critical for successful outcomes. Consequently we discuss examples of how the demands of student-content interactions put students with self-regulation difficulties at risk of failure. We highlight research on learners who have poor SRL skills, inadequate calibration capabilities, and low executive functions in order to highlight areas of particular difficulty and areas in which support might be most beneficial. We conclude with the recognition that while support strategies can be derived from the research literature, there is a great need for research that addresses questions about student-content interaction in DE course settings specifically, and pertains to the increasingly diverse group of learners who take these courses.
引用
收藏
页码:104 / 123
页数:20
相关论文
共 62 条
  • [1] Interaction in distance education and online learning: using evidence and theory to improve practice
    Abrami, Philip C.
    Bernard, Robert M.
    Bures, Eva M.
    Borokhovski, Eugene
    Tamim, Rana M.
    [J]. JOURNAL OF COMPUTING IN HIGHER EDUCATION, 2011, 23 (2-3) : 82 - 103
  • [2] Anderson T., 2003, International Review of Research in Open and Distance Learning, DOI [DOI 10.19173/IRRODL.V4I2.149, 10.19173/irrodl.v4i2.149]
  • [3] Anglin G. J., 2010, TRENDS ISSUES DISTAN
  • [4] [Anonymous], HDB MEMORY METACOGNI
  • [5] [Anonymous], 2000, HDB SELF REGULATION
  • [6] Beyond Grades in Online Learning: Adaptive Profiles of Academic SelfRegulation Among Naval Academy Undergraduates
    Artino, Anthony R., Jr.
    Stephens, Jason M.
    [J]. JOURNAL OF ADVANCED ACADEMICS, 2009, 20 (04) : 568 - 601
  • [7] Azevedo R., 2004, Journal of Educational Computing Research, V30, P87, DOI 10.2190/DVWX-GM1T-6THQ-5WC7
  • [8] Does training on self-regulated learning facilitate students' learning with hypermedia?
    Azevedo, R
    Cromley, JG
    [J]. JOURNAL OF EDUCATIONAL PSYCHOLOGY, 2004, 96 (03) : 523 - 535
  • [9] Why is externally-facilitated regulated learning more effective than self-regulated learning with hypermedia?
    Azevedo, Roger
    Moos, Daniel C.
    Greene, Jeffrey A.
    Winters, Fielding I.
    Crornley, Jennifer G.
    [J]. ETR&D-EDUCATIONAL TECHNOLOGY RESEARCH AND DEVELOPMENT, 2008, 56 (01): : 45 - 72
  • [10] The influence of overt practice, achievement level, and explanatory style on calibration accuracy and performance
    Bol, L
    Hacker, DJ
    O'Shea, P
    Allen, D
    [J]. JOURNAL OF EXPERIMENTAL EDUCATION, 2005, 73 (04) : 269 - 290