A Short Term Tutoring Program: Summarizing Chemistry Text with Grade 12 Gifted Students

Donna Copsey Haydey and Adrian Deakin

Gifted and Talented International, 2007, vol. 22, issue 2, 118-126

Abstract: The ability to summarize content area text becomes increasingly important as the reading demands on students increase. Often it is assumed that by high school students are skilled at reducing a passage to its gist. A Canadian teacher discovered, however, that the summaries of his academically gifted high school students taking a university level chemistry course were a retelling of the original text. Together with a university researcher a short term tutoring project was offered to assist students in developing their summarization skills. The sessions involved ’think alouds’ and direct explicit instruction of the strategies followed by practice time and student refl ection. The fi ndings of the study revealed that while the students quickly learned the specifi c steps of the two summarization methods, more time and additional practice were required for autonomous application of these strategies by students. Further, even high achieving students needed to personally buy-in to the benefi ts of a new strategy.

Date: 2007
References: Add references at CitEc
Citations:

Downloads: (external link)
http://hdl.handle.net/10.1080/15332276.2007.11673502 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:taf:ugtixx:v:22:y:2007:i:2:p:118-126

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/ugti20

DOI: 10.1080/15332276.2007.11673502

Access Statistics for this article

Gifted and Talented International is currently edited by Sheyla Blumen

More articles in Gifted and Talented International from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().