<｜begin▁of▁sentence｜>### Instruction:
Imagine you're developing a visual aid to help educators understand the relationships and dynamics within a classroom setting. To accomplish this, you've decided to create a graphical representation of student interactions based on collected social data. The connections you've identified are as follows: (student 1, student 2), (student 2, student 3), and (student 3, student 4).

Your goal is to convert this interactive network into a Graph Modeling Language (GML) file to facilitate further analysis and visual representation for educational research. How might you transform this relational data into a GML file using NetworkX's 'generate_gml' function to support educational psychologists in their endeavors to chart and interpret these classroom dynamics? Please ensure that in your practical scenario, you include a suggested GML file name that encapsulates the nature of the classroom network you are modeling.
### Response:
import networkx as nx

# Create a NetworkX graph
g = nx.Graph()

# Add edges to the graph
g.add_edges_from([(1, 2), (2, 3), (3, 4)])

# Use the generate_gml function to create a GML representation of the graph
for line in nx.generate_gml(g):
    print(line)
<|EOT|>
