Title: Technology in Developmental Education: A Review of Research
1Technology in Developmental Education A Review
of Research
David C. Caverly, Ph.D. Cynthia L. Peterson,
Ph.D. Southwest Texas State University Paper
presented at the annual meeting of the College
Reading and Learning Association Salt Lake City,
UT November 5, 1998
2Flippo, R.F. Caverly, D.C. (1991) Teaching
College Reading and Study Strategies. Newark,
DE International Reading Association. Flippo,
R.F. Caverly, D.C. (1991) College Reading and
Study Strategies Programs. Newark, DE
International Reading Association.
3Flippo, R.F. Caverly, D.C. (2000) Handbook of
College Reading and Study Strategy Research.
Mahwah, NJErlbaum Publishers.
- Technology in College Developmental Reading -
Caverly Peterson
4A Technology Support Model for Developmental
Reading
5Computer as Tutor
- Computer Assisted Instruction (CAI)
- Sequencing instruction into simple skills
- Industrial Age model of education
6Integrated Learning Systems (ILS)
- Package delivered over a network
- Typically diagnostic/prescriptive
- Computer directed remediation
- Report generation
- Teacher proof mentality
7Computer as Tutor Research Findings
- .31 effect size for achievement
- .22 effect size for attitude
- 10 percentile point post-test gain
- ILS research mirrors this, but done by companies
- .48 effect size for achievement on hypermedia
tutorials - 18 percentile point post-test gain
8Computer as Tutor Strengths
- CAI can improve lower level, basic skills if
supplementing not supplanting - ILS more effective when students work in pairs
- Greater gains in math than in reading or writing
skills
9Computer as Tutor Weaknesses
- Little transfer to standardized tests
- Little transfer to future classroom reading or
writing task demands - Attitude gains are short-lived
10Computer as Tutor Conclusions
- Viable, but limited usefulness
- Matthew Effect
- academically rich progress faster
- academically poor fall further behind
Matthew Effect
academically rich
academically poor
11Computer as Tutor Limitations
- technology used to transmit information rather
than create knowledge - complex skills needed in Information Age
- need to redefine use of technology for Knowledge
Age - Readers need to convert information to knowledge
12Computer as Tool
- word processing, data bases, spreadsheets, search
engines, mapping, desktop publishing,
presentation programs
13GAP
GAP
14GAP
15GAP
- Gather Arranging
Presenting to confirm
16Computer as Tool Conclusions from the Research
- Writing about reading improves both skills
- Collaborative writing improves all writers
- Collaborative use of complex software best aids
ESL students to improve linguistically - Tool use can reduce Matthew effect
17Computer as Tutee Learning by Teaching
- discussing over e-mail
- creating multimedia/hypermedia instructional
tutorials to teach others - creating instructional tutorial web pages to
teach others
18Computer as Tutee Research Support
- Tutor/Tutee comparable achievement gains
- Tutors show greater attitude gains
- Reading gains by developmental students serving
as reading tutors - Developmental students are able to use technology
to teach others
19Future of Technology and Developmental Reading
- More sophisticated hypermedia tutorials
- Tools to support students in hypermedia
- More sophisticated tools
- To support the computer as tutee (i.e., social
constructivist learning)
20A Technology Support Model for Developmental
Reading