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The Impact of Electronic Networking on Student Interactions During an Ant Biomonitoring Problem Solving Science Investigation

Rita A. Hagevik

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Student Dialogs

Four 45-minute discussions from the non-teleconferencing classes were selected, transcribed, analyzed and compared to the teleconferencing group's dialog. The discussions chosen for transcription were days in which the discussions paralleled those of the teleconferencing classes. Student talk was transcribed and classified to ascertain peer interaction differences between groups.

The student dialog was analyzed using a modified version of the Flanders Interaction Analysis System (1970). Flanders did extensive classroom observation of thousands of teachers at all educational levels and in many different content areas (Reinman & Sprinthall, 1998). He categorized teacher talk into eight areas and student talk into two areas. The ten categories were grouped in two major clusters; indirect, Categories 1 to 4, and direct, Categories 5 to 7 according to Nate Gage (1978). Indirect interactions are more participatory and are more typical of the types of interactions that promote the construction of concepts. Direct interactions tend to be univocal in nature and do not promote collegial building of understanding. According to Vygotsky, indirect interactions or the collective construction of knowledge in which constructive interaction takes place is the primary mechanism of intellectual development. He believed that language is central to the development of thought and it is through words that meaning is formed and redefined. In fact, Vygotsky argued that social interactions are the basis for an individual's development (Howe, 1996). Gage (1985) found that at the secondary level, there is clear evidence that a more direct mode leads to greater academic gains. Flanders also found that the quality and frequency of student talk had a tremendously positive effect on student achievement (Flanders & Morine, 1973).

On the modified instrument, eight categories were established with Categories 1-4 representing indirect talk and Categories 5-7 representing direct talk. Category 8 represented neither direct nor indirect talk but confusion. Confusion in this study was defined as many students speaking at the same time. This type of talk was treated as part of the total student responses and therefore is reflected in the indirect and direct percentages. Students' direct to indirect talk as well as the number of student responses per time period were compared (Table 2). To determine interater reliability (.82), the teacher-researcher and an independent scorer scored two of the four transcripts for each group.

Table 2: Students' Responses by Category for Each Class Period

Telecommunication Classes
Non-Telecommunication Classes
One class at each school
School 1
School 2
Category
Meeting Number
Meeting Number
Meeting Number
1
2
3
4
1
2
3
4
1
2
3
4
1
Accept Feelings
0
0
0
0
0
0
0
0
0
0
0
0
2
Praise/Encourage
1
0
0
9
0
0
0
0
0
0
0
0
3
Accepts Ideas
11
10
15
27
3
0
0
10
2
0
2
0
4
Asks Questions
15
11
22
17
17
3
2
3
9
2
5
4
Subtotal
1-4
27
21
37
53
20
3
2
13
11
2
7
4
5
Lecture
19
14
30
35
66
29
13
55
33
28
35
42
6
Directions
8
4
3
2
1
0
0
0
0
0
0
0
7
Criticizes
0
0
0
0
0
0
0
0
0
0
0
0
Subtotal
5-7
27
28
33
37
67
29
13
55
33
28
35
42
8
Silence/Confusion
2
0
0
1
0
0
0
7
2
0
0
0
# of student
responses
56
49
70
91
87
32
15
75
46
30
42
46
% Indirect
48
43
53
58
23
9
13
17
24
7
17
8
%Direct
52
57
47
42
77
91
87
83
76
93
83
92

 

Students in the teleconferencing group asked more questions (1.3 per student) than the non- teleconferencing groups (0.48 per student) and the number of questions asked remained high in the teleconferencing group for each meeting. Teleconferencing students used praise and encouragement type responses and accepted and used each other's ideas 75% more frequently than the non-teleconferencing groups. Furthermore, students in the telecommunication classes interacted indirectly 52% of the time compared to the non-telecommunication classes that interacted indirectly 18% and 15% of the time (Table 3). However, the number of student responses remained high in all groups with the non- teleconferencing class having the highest number of responses (87). All classes had some confusion when students became excited, but this was minor compared to the total number of student interactions. The most important difference in the student interactions between the two groups is the proportion of direct versus indirect dialog. The teleconferencing groups' discussions were 36% more indirect than those of the non-teleconferencing groups because they asked more questions and used each other's ideas more frequently in their conversations.

Table 3: Summary of Indirect and Direct Student Responses

Totals
Telecommunications Classes
(one at each school)
Non-Telecommunications Classes
School 1
School 2
Indirect
138
38
24
Direct
125
164
138
% Indirect
52
18
15
% Direct
48
82
85

 

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Meridian: A Middle School Computer Technologies Journal
a service of NC State University, Raleigh, NC
Volume 6, Issue 1, Winter 2003
ISSN 1097 9778
URL: http://www.ncsu.edu/meridian/win2003/problemsolving/5.html
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