Students on Facebook: from observers to collaborative agents

Figures & data

Table 1. Groups of teacher-students.

Groups	Location of the school	Classes per week	Number of students by group	Number of classrooms in the group	Grade (USA as reference)
G1-Biology	Minas Gerais	2	19	1	10
G2-Sciences	Minas Gerais	2	220	7	8–9
G3-History	Minas Gerais	2	27	1	10
G4-English	São Paulo	2	73	2	12
G5-Portuguese	São Paulo	5	33	1	12

Table 2. Categories used for data analysis.

Posts
1. Date	Date which the post was made, in order to analyze the number of interactions by period
2. Number of occurrence	Total number of posts in each group
3. Number of interactions per post	Number of comments (responses), likes (students who pushed the “like” button, and the “seen by” number in every post made.
Discursive aspects of posts and opened questions
4. Who initiated the post	Teacher, students or researcher
5. Who responded to the post	Teacher, students or researcher
6. Linguistic markers	Use of 1st person plural (pronoun and verbs^1) to implicate other students in the activities. Those linguistic markers can be used to identify the emergence of collaborative agency.
7. Enunciation responsibility	Express who takes the responsibility for what is said. If a student says “The teacher is not using the group”, he transfers the responsibility of that action to the teacher, although he can be the responsible for not using the group as well.

Figure 1. (a) Number of posts by period. (b) Number of comments by period.

Figure 2. (a) Post from the first period analysed in this study: teacher posts, comments and students only “see” the post. (b) Post from the last period analysed in this study: teacher posts, students comment, like and see the post.

Figure 3. Network analysis from G1-Biology and G5-Portuguese during the four periods described in Figure 1. The squares represent the teachers, and the circles represent students. G1-Biology has no graph for period 1 since the group started later than the other groups. Bigger figures represent the person interacted more inside the network.