RESULTS
This chapter presents the results obtained during the investigation. The study was designed to investigate the effect of a computer-based curriculum on mathematical reasoning and problem solving skills at the college level. First, there is a description of the results obtained from the pre and post assessment. Second, there is a report of the results from the self assessment instruments and the interviews.
Results of the study are reported as an analysis of the pretest results, posttest results and the difference between them. Table 4 presents the achievement pretest means, posttest means, standard deviations, and minimum and maximum values for the three groups. The preliminary analysis shows that the pretest mean of the Computer 1 group was higher than that of the Computer 2 or the Non-Computer Groups. This analysis shows also that the Non-Computer Group scored considerable higher when compared to the pretest mean of the group and considerably higher when compared to the mean of the other groups for the posttest scores. Table 5 gives the results of the t-test analysis in relation to achievement mean gain scores. There was significant difference (p<.05) in achievement mean gain scores in the Non-Computer group. There was no significant difference in achievement mean gain scores when the mathematical reasoning course was taught with the use of computers.
Means and Standard Deviations of the Pre-and-Post Testing
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Summary of the t-test Analysis
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A more detailed analysis of the processes involved
in problem solving of the individual examinations might provide some better
information on the differences between the groups. Table 6, 7, 8 and 9
show the number of students that selected a strategy that could have led
to a correct solution if implemented properly to solve problems in the
pre and post tests.
The most frequent process used for problem 1 (Table 6) in the pretest
was the strategy Make a Table. This characteristic applies to the three
groups. One student from the Computer 1 group and five students from the
Non-Computer group selected a strategy that could have led them to the
correct solution of problem 1 in the Posttest.
Selection of Strategies for Problem 1 in the Pre and Post Tests
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| Find a pattern |
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| Draw a diagram |
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| Guess and check |
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| Use an equation |
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| Make a table |
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Selection of Strategies for Problem 2 in the Pre and Post Tests
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Selection of Strategies for Problem 3 in the Pre and Post Tests
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Table 9 shows not only an interesting shift in the performance of the groups, but a difference in the selection of the strategies. The Computer 1 and the Computer 2 groups showed a strong preference for the strategies Guess and Check and the Make a Table, while the Non-Computer group showed a preference for the strategy Use an Equation. Although both groups received instruction on the use of equations to solve problems, students in the computer groups applied strategies similar to those used with the computer.
Selection of Strategies for Problem 4 in the Pre and Post Tests
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Part Two in each test was designed to assess students' qualitative reactions to their performance in each problem. After they solved each problem, students were asked to answer a set of questions (see Appendix A). Table 10 summarizes the percentage of "yes" responses to questions 1, 2 and 3 of Part Two in each test.
"Yes" Responses to Questions 1, 2 and 3 of Part Two of the
Pre and Post Tests
| % Responding "yes" |
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| 1:Seen before? |
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| 2:Seen related? |
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At the time of the pretest the groups' perception about their knowledge was comparable, with a slight difference in the Non-Computer group about problems they had seen before. The Non-Computer group thought that they had seen more "closely-related" problems than the computer groups. The percentage of "related problems" the students reported having worked with increased for all groups in the posttest. Computer 1 group reported the highest score, followed by the Non-Computer group and the Computer 2 group.
Students' responses for questions 4, 5 and 6 are given in Table 11. In the posttest there is an increase in the responses of the students who answered "yes" to question 4. For question 5, sixty percent of the students from the computer groups chose the categories of "organized a bit" or "organized", while in the Non-Computer group sixty-eight percent of the students chose these categories.
There was a considerable decrease in the percent of responses in question 6 for the selection of "difficult" in the Computer 1 and Non-Computer groups. In the three groups there was an increase for the selection of "moderately difficult."
Responses to Questions 4, 5 and 6 of Part II of the Pre and
Post Tests
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| No |
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| I planned a bit |
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| Yes |
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| Disoorganized |
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| organized a bit |
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| organized |
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| Easy | 13(16) | 17(10) | 16(21) |
| Moderately Difficult | 39(55) | 26(34) | 35(45) |
| Difficult | 45(18) | 29(38) | 34(16) |
The investigator observed the use of calculators
and computers in the posttest. Ten students (40%) in the treatment group
C1 used computers during the posttest. No students used computers in the
treatment group C2. The students in the three groups brought calculators
with them and used them for computation on a regular basis during the examination.
In the treatment groups the investigator reported that 20 hours were
devoted to conference or classroom activities, 8 hours to the teaching
of computer use, 12 hours to computer demonstrations and 5 hours to testing.
The comparison group did not spend time learning to use a computer, but
rather used this time for working in the course's content.
The investigator reviewed the scores of the pre and post test of students who knew how to use Lotus 1-2-3 before the treatment, or had the ability and good disposition to learn to use the computer. Table 12 presents four examples of student accomplishment worthy of note. Students 3 and 26 knew how to use Lotus 1-2-3 and students 5 and 6 had the ability and a good disposition to learn to use the computer. These factors are relevant in the discussion of the results.
Examples of the Results in the Pre and Post Tests
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Student Attitude Questionnaire
The investigator used the Student Attitude Questionnaire to assess problem solving attitudes. The instrument was administered at the beginning and at the end of the treatment. Table 13 presents the means and standard deviations of the scores in the Student Attitude Questionnaire. The analysis of variance (Table 14) showed that there was no significant difference between the groups at the beginning of the study. There is significant difference in two of the dimensions of the questionnaire, self-confidence and perseverance, at the end of the study. Scheffe test with significance level .05 indicated that the differences are found in the Computer 1 and Non-Computer groups. These results suggest that the computer is not necessarily the reason for change in the attitudes of both groups.
Means and Standard Deviations of the Scores in the Student
Attitude Questionnaire
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Analysis of Variance Between Groups for the Student Attitude Questionnaire
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The scales Usefulness of Mathematics and Confidence in Learning Mathematics were administered to the subjects at the beginning and at the end of the study. The t-test analysis results (Table 15 and 16) showed that there is no significant difference in the attitude of the subjects in the computer groups toward the usefulness of mathematics These results suggest that the use of technology does not necessarily change students' attitude in these dimensions.
Similar results were found with the sub-scale Confidence in Learning Mathematics. There is no significant difference in the students' confidence to learn mathematics in the computer groups.
Results of the t-test Analysis in the
Fennema-Sherman Mathematics Attitude Scale
Confidence in Learning Mathematics
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Results of the t-test Analysis in the
Fennema-Sherman Mathematics Attitude Scale
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The results of the t-test analysis in the Fennema-Sherman Mathematics Attitude Scale demonstrated that the students had a positive attitude toward the usefulness of Mathematics or confidence in learning mathematics. Tables 17 and 18 show that for positive statements in the Scales, students selected "strongly agree" and "agree."
Mean of the Combined Percents of Strongly Agree and Agree
in the Fennema-Sherman Mathematics Attitude Scales
| 1. I'll need mathematics for my future work. |
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| 2. I study mathematics because I know how useful it is. |
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| 3. Knowing mathematics will help me earn a living. |
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| 4. Mathematics is a worthwhile and necessary subject. |
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| 5. I'll need a firm mastery of mathematics for my future work. |
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| 6. I will use mathematics in many ways as an adult. |
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Mean of the Combined Percents of Strongly Agree and Agree in the
Fennema-Sherman Mathematics Attitude Scales
| 1. Generally I have felt secure about attempting mathematics. |
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| 2. I am sure I could do advanced work in mathematics. |
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| 3. I am sure that I can learn mathematics. |
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| 4. I think I could handle more difficult mathematics. |
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| 5. I can get good grades in mathematics. |
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| 6. I have a lot of self-confidence when it to mathematics. |
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The Perception Toward the Computer Scale was administered to the three groups. Interesting results were found between the Computer groups and the Non-Computer group in some of the dimensions of the scale (Tables 19, 20 and 21). The Computer groups scored a higher percent than the Non-Computer group when asked about the usefulness and effectiveness of computers. Other areas where the Computer groups scored higher were in the characteristics of amusing, interesting, necessary and powerful. In general students had similar perceptions in the characteristic of simple (difficult) and pleasant (unpleasant).
Percents of the Results of the Perception Toward the
Computer Scale in the Computer 1 Group (N =22)
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Percents of the Results of the Perception Toward the
Computer Scale in the Computer 2 Group (N = 21)
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Percents of the Results of the Perception Toward the
Computer Scale in the Non-Computer Group (N = 21)
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The investigator interviewed thirteen students during the last week of the study. See the interview protocol in Appendix L. The results of the interviews relates to the students' perception toward computers. When asked about their experience in the course, 76% of the students said it was "good." Other answers to this question were "I liked it"; "Interesting"; "Difficult"; "Different"; and "Awful."
Some of their comments were "the course expanded my knowledge about
the importance of mathematics," "the course helped me to learn more about
mathematics" and "the course helped me to learn about computers." One students
said "the
course made me use my imagination and taught me to be patient."
These responses were encouraging since this was the first experience the
students had in using a computers in a mathematics class. Other suggestions
given by the students to improve the use of the computers in the course
were "to have a tutor or an assistant during the laboratory periods," "I
would like to be in a computerized classroom all the time," and "I would
like more practice time (He meant more practice time during the period
of time they were in class.)."
To the question "Do you think that the computer is a useful tool when solving problems?", 92% of the students answered "yes." All of them agreed that they would like to use computers in other mathematics courses. To improve the use of the computers in the course, students (77%) said that they would rather prefer to take the Introduction of Computers course before using computers in a mathematics course.
Although the investigator developed computer-based activities for all the topics in the course, the students had some preferences about when to use it. Table 22 shows students' responses to the question "In what topics of the course is the computer more suitable?."
Students' Preferences of the Topics Where Computers Should
Be Used
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| Chapter 1- Problem Solving (Inductive Reasoning, Patterns) |
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| Chapter 2- Linear Equations in One Variable |
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| Chapter 3- Ratio and Proportion, Percent |
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| Chapter 7- Statistics |
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| Chapter 5- Linear Equations in Two variable |
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