
| Progress | DBI Examples |
Lecture by
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Ann Nevin |
Jacque Thousand |
Toni Hood |
© 1997 All Rights Reserved
Congratulations for making it this far! This topic is one that separates the wheat from the chaff, the sheep from the goats, the serious scholars from the dilettantes.
Focus Questions for Topic 4
1. How can a teacher tell if his/her instructional strategy is beneficial to the learner?
2. Why would a teacher want to know?
As teachers who use data-based instruction, we are particularly interested in whether or not our teaching/learning interventions are actually resulting in increased benefits to my learners. Some of our methods of deciding include directly observing the students as they practice their new skills. Other methods include making inferences based on what our students write or say.
We'd like to take you through some examples of data-based instruction projects. The first one is one that Ann Nevin completed on behalf of a second grade student with learning disabilities. "Susie" was a typical 7 year old girl in most aspects of the second grade curriculum except reading, spelling and written expression. She consistently reversed her letters (e.g., b for d, w for m, q for p, and so on)--a classic example of a dyslexic learner.
Ann began her data-based instruction project by deciding what specific academic behavior she would focus on first: Susie's spelling. During her daily spelling tests, Susie was required to spell 10 words correctly. Ann collected Susie's daily tests, corrected them, and plotted her grades on a graph.
As you
can see in Figure 1, her initial performance indicated that some days she did well and
some days she did not. If you looked at her daily spelling tests, you would see
immediately that the misspelled words were primarily due to letter reversals. However, she
often correctly formed her letters--that is, sometimes she correctly formed a b instead of
reversing it as a d. Ann concluded Susie already knew how to form the letters and so Ann
decided to try a form of systematic feedback to increase her accuracy. If Ann's analysis
of Susie's errors had indicated that she never formed her letters correctly, Ann would
have had to go to a letter-formation shaping procedure.
During the next few days, Ann decided to correct Susie's work while she was completing her spelling test. Twice during the spelling test, Ann stopped by her desk and placed a "big red C" for correct by each letter/word she had correctly spelled--each letter she had correctly formed. Ann continued to graph the measures of her accuracy.
As you can see in
Figure 2, Susie noticeably improved on her spelling tests! Ann wanted to see whether the
"extra work" of providing feedback to Susie during her spelling test was really
necessary. So for the next few days, she stopped providing immediate feedback. Susie's
performance was altered rather dramatically as you can see in Figure 3.
With
this verification that the immediate correction was "worth" the extra effort,
Ann continued to provide immediate feedback to Susie with the happy result that her
spelling tests continued to show improvement. As she gained confidence in her new-found
competence, Ann systematically removed her immediate correction until Susie's was working
independently.
Ann's next steps were to look for generalization of Susie's competence to other forms of written expression (such as her essays and stories). Ann began to track her oral reading errors to see if her letter reversals were decreasing in that area as well. ***
Toni Hood's example focuses on Zoe, an eight year old girl with Down Syndrome and mild cerebral palsy which affected the range of motion and strength of her right arm. Zoe's friendly outgoing personality was a factor in her successful integration in a regular classroom. Toni started her data-based instruction project by assessing Zoe's ability to recognize key environmental print as part of her life skills development. Toni collected baseline data on Zoe's ability to read aloud from a given written list of familiar words in her environment. Such words included her name, and names of members of her family, the names of her town, school, teacher, a few friends, and such words as /girls/, /boys/, /lunch/, and names of local stores and commercial products which were visited or used by Zoe and her family. The latter list included Jack-in-the-Box, Von's, Lucky's, Pepsi, Coke, Cheerios, Oreos, and M&M's. Twenty-five words were listed.
As you can see from Figure 1, Zoe was only
able to recognize her own first name when shown in the randomly ordered list of
words. Two distinct approaches were used in this pre intervention informal
assessment. The first called for Toni, the examiner, to ask Zoe to find the given
words. For example, Toni would say: Zoe, point to "Pepsi." The
results of Approach #1 were the same as the results for Approach #2, when Toni asked her
to tell the word that Toni was pointing to.
During the week that followed, Toni embarked on a mission to create a language-rich environment for Zoe in the area of the resource room in which she worked. We called her work area "Zoe's Office", and we labeled everything in it. We included teacher-made books of captioned photographs of Zoe and persons known to her. During each instructional session with her, she was directed to look at and read the labels she saw. Integrated into her 'office' were several activities which reinforced her potential acquisition of sight vocabulary. Cards were made that corresponded with the labels, a bingo game using the words was part of her daily routine, and books which included those same words read with her frequently.
The graph in Figure 1 demonstrates Zoe's gradual acquisition of specific sight words during the first month of intervention.
A second measure was made of Zoe's ability to
state the names or sounds (either response was accepted as accurate) of the randomly
ordered lowercase alphabet when presented to her using flash cards.
As indicated in Figure 2, Zoe consistently named or gave the sounds for the letters /o/, /l/, /i/, /z/, /o/, /x/, and /e/. When presented the letter /k/, Zoe said "Kimmie" with great enthusiasm. (Kimmie is one of her siblings.) Figure 2 shows result of this assessment for two separate sessions with Zoe, as her attention span is quite short. Toni concluded that Zoe had had frequently repeated instruction during her first two years in school with letter recognition and name writing, and she had internalized the ability to name the letters listed above.
Zoe had an outgoing personality who had always been
included in whole class and small group instruction in the mainstream. It was
therefore quite easy to integrate her into small groups of students in language arts
sessions held in the Resource Room. Toni introduced her into a group of first and
second grade resource students who were working on the multisensory phonics program called
Zoophonics (Copyrighted by Zoophonics, Inc., 1987, Box 1219 Groveland, CA
95321). The instructional strategies used within this program to help children learn
the letter sounds incorporate visual-auditory-kinesthetic-tactile sensory stimulation
through body movement, rhythm, music, and colorful cards and posters with animals
superimposed on lowercase letters.
Zoe's enthusiasm was very high, and within two weeks of daily
Zoophonics session, Zoe was able to mimic the movement and sound associated with 14
letters, which was twice her pre intervention amount. By the end of two months, Zoe could
act out, sing the verse, and say the sounds for 21 letters. The six letters that
eluded her were: /f/, /h/, /q/, /w/, /y/. Figure 2 shows this
progress. Following a two-day weekend and a three-day absence, Zoe was unable to
name the same number of letters as before. Her recognition dropped to 13
letters. However, when the procedure was reinstituted, Zoe's recognition again
increased. ***
Now it's your turn to make data-based
decisions! Here are three examples showing measures of students' performance under three
different instructional interventions. You have to decide whether or not to continue the
instructional intervention or to change to another strategy.
What are Your Answers to these data-based decisions and the
Focus Questions for Topic 4? Please complete your answers to the Focus
Questions. When you are ready, you may want to compare your answers to what other
teachers say.
What Do
Other Teachers Say?
Key Thought The Sky's the Limit!
Are you familiar with the "Pygmalion Effect?" This is the phenomenon known as the "self-fulfilling prophecy." When teachers have high expectations of their learners, high performance is more likely to occur! When teachers have low expectations, low performance is more likely to occur. In fact, having high expectations is one of the researched "best practices" that has been documented by both general and special education researchers as having a positive effect on learners with special needs. Believing that "The Sky is the Limit" is a signal that you have high expectations. It is a symbol of what you can expect as you use data-based instruction. It is possible for you to help those learners who are difficult-to-teach to achieve new unexpected heights of achievement.
You are now ready to complete Part 4 of your Data-Based Instruction Project