Skip to main content
Have a personal or library account? Click to login
Understanding the Impact of Product Characteristics on Groups’ Collaboration During a Dissection Task Cover

Understanding the Impact of Product Characteristics on Groups’ Collaboration During a Dissection Task

Open Access
|Aug 2023

Figures & Tables

Figure 1

Study logic model.

Table 1

Observation protocol for recording fieldnotes during in-person dissection sessions.

Thematic EpisodesRecord brief description of the type of group work students are doing. This may include reading task material, discussing the object, working individually, or assigning tasks. Mark description with time stamp. Record new description and time stamp when nature of work transitions to different type. If students are working individually, note each role.
Individual RolesUsing assigned codes, take note of the occurrence of students’ individual roles (e.g., emerging leaders, bystanders, organizers, etc.). Were these roles self-assigned? Note changes in roles and include timestamps when possible.
Verbal InteractionRecord nature of interactions including episodes of P1, P2, P3, and P4, as well as off- task talk and any TA interactions. For TA interactions, record the nature of the
interaction (e.g., Did students initiate with a question?). Take note of talk that explicitly includes the object.
Influence of ObjectRecord nature of students’ interaction with object; use timestamps when possible. How is the object being used or manipulated? Is it being passed among multiple students?
How many group members have touched the object? Do different members use or interact with it in different ways?
Table 2

Modeling assessment rubric.

CATEGORY/SUBCATEGORYSCORING BREAKDOWNSCORETOTAL POSSIBLE POINTS
Modeling Effort18
Modeling effort—part count, complexity (6 = A, 5 = B, 4 = B, 3 = C)/6
Modeling accuracy, attention to detail (6 = A, 5 = B, 4 = C)/6
Use of lighting, texture, backgrounds, translucency (5 = A, 4 = B, 3 = C)/5
Rendered section view of assembly/1
Animation9
Quality, complexity, clarity of animation (6 = A, 5 = B, 4 = C)/6
Focus on product function (3 = A, 2 = B, 1 = C)/3
Figure 2

Task products assigned to groups in the study. These included (from left): a calendar puzzle, Stirling engine model, and desktop gumball machine. Calendar puzzle reproduced with permission; Stirling engine and gumball machine reproduced under Creative Commons license.

Table 3

Initial themes that emerged from analyzing dissection session observations.

THEMEDESCRIPTION
Type of ProductCharacteristics related to the product itself, such as purpose, target audience, difficulty to dissect, and amount of available information.
Divide-and-conquerEpisodes in which group members divide into subgroups, either subconsciously or by choice, to tackle multiple aspects of the dissection process simultaneously.
CollaborationEpisodes of collaborative behavior as characterized by P1–P4 processes.
Physical Interaction with ProductGroup members’ physical interaction with the product.
Physical Collaboration through ProductGroup members’ physical collaboration with one another through manipulation of the product.
Table 4

Individual activities observed during dissection sessions.

ROLEDESCRIPTION
DocumentationStudent documents dissection process by taking notes (e.g., in a Google doc), making labels, etc. This includes organization of parts (such as separating into labeled bags for storage).
Active DissectionStudent actively works to dissect product. May include following directions from the active observer.
Active ObservationWhile not actively dissecting the product, student assists in dissection process by retrieving necessary tools, helping to hold parts, making suggestions for what dissector should do, etc. May include following directions from other students.
Passive ObservationStudent observes dissection but does not assist, interact with the product, or make suggestions.
Table 5

Coding scheme for analyzing observations from dissection sessions.

CODEDEFINITION
Subgroups0 = No division (either all working together or all working separately)
1 = Presence of subgroups
Collaboration (includes non-verbal signals; multiple codes may be applicable)0 = N/A (no collaboration observed)
1 = Students are working together on task. Includes episodes of actively measuring loose pieces (no dissection).
2 = Students are exploring the scope of the task (P1). Examples include asking what they need to do or discussing the type of task (“So are we just taking this apart?” “I think we need to take pictures today”). This can also include exploring supporting materials.
3 = Students exhibit planning behavior, such as verbally planning what to do (P2). (“Someone needs to document while we do this,” “We should start by removing this piece.”)
4 = Students discuss the dissection itself, such as commenting on difficulty; students quietly work to dissect the product (P3). (“It’s hard to get this piece off,” “Can you help me do this?” “I think we now have to look at this.”)
5 = Students evaluate their work. This may include identifying errors or suggesting changes to their method (P4). (“We should’ve taken this part off last,” “Maybe we should label these instead.”)
Off-Task0 = No off-task talk/activity noted
1 = At least one student is behaving or talking off task
Verbal Interaction0 = None specified
1 = Verbal interaction is occurring among at least two group members (i.e., dialogue or narration, whether as a full group or in subgroups)
2 = Group is specified as working quietly
Dissection0 = Dissection is not taking place
1 = Dissection is taking place (i.e., product is being disassembled; parts are being removed, often through tool use)
Physical interaction with object0 = Students are not physically interacting with product
1 = Students physically interact with product through touch. Can include inspection, manipulation, and handling, but does not include removal of parts (i.e., dissection).
Figure 3

Modeling scores per each group in the study are presented as a percentage out of 100.

Figures 4, 5

Modeling scores versus dissection proportions (left) and total dissection entries. In Figure 4, the dots represent the calendar puzzle, Stirling engine II, Stirling engine I, and gumball machine from left to right. In Figure 5, the dots represent the Stirling engine II, Stirling engine I, calendar puzzle, and gumball machine from left to right.

Figures 6, 7

Group members work on the calendar puzzle (left). The finished puzzle (as shown in group’s CAD model) can be set manually.

Table 6

Case 1: Calendar Puzzle. Proportion of time spent in each behavior.

CODERESULT
Total observation timestamps72
Verbal interaction.653 (47)
Dissection.278 (20)
Physical interaction.208 (15)

[i] Note: Proportions for tables 6–9 were calculated by dividing the frequency of each code by the total amount of observation timestamps. For each table, the raw data (in parentheses) reflects code frequencies.

Figures 8, 9

Group members explore their product (left). The assembled Stirling engine desktop model has moving components that mimic the internals of the full-scale engine (as depicted in the group’s CAD model). Images reproduced with permission.

Table 7

Case 2: Stirling Engine II. Proportions of time spent in each behavior.

CODESTIRLING ENGINE II
Total observation timestamps42
Dissection.357 (15)
Measurement collaboration.381 (16)
Documentation.429 (18)
P4: Evaluating work and considering alternatives.000
Figure 10

Group members record product dimensions. Image reproduced with permission.

Table 8

Case 3: Stirling Engine I. Proportions of time spent in each behavior.

CODESTIRLING ENGINE I
Total observation timestamps58
Dissection.466 (27)
Measurement collaboration.258 (17)
Documentation.534 (31)
P4: Evaluating work and considering alternatives.034 (2)
Figures 11, 12

Group members dissect the gumball machine (left). This group’s CAD rendering of the gumball machine cross section displays its internal components (right). Images reproduced with permission.

Table 9

Case 4: Gumball Machine. Proportions of time spent in each behavior.

CODEGUMBALL MACHINE
Total observation timestamps80
Verbal interaction.838 (67)
Dissection.525 (42)
Subgroups.088 (7)
DOI: https://doi.org/10.21061/see.98 | Journal eISSN: 2690-5450
Language: English
Page range: 1 - 21
Submitted on: May 20, 2022
Accepted on: Jul 4, 2023
Published on: Aug 4, 2023
Published by: Virginia Tech Publishing
In partnership with: Paradigm Publishing Services

© 2023 Taylor Tucker, Molly Hathaway Goldstein, Emma Mercier, published by Virginia Tech Publishing
This work is licensed under the Creative Commons Attribution 4.0 License.