Limit the number of instructions and tasks in dialogic activities, since too many impair dialogue¶

Strategy · All strategies
Evidence · 2 claims (2 for) · 1 study (1 qualitative), q2 · 0 of 1 report an effect size · 2 claims rest on one study

Description¶

From the ANT analysis of the vaccination lesson, the authors draw a design lesson for dialogic education: designers envisioned that card classification would enrich dialogue, but "Too many instructions, too many tasks to do, impair dialogue". The classification task black-boxed the network into production of a material product, dissolving the dialogic network. Designers of dialogic activities should therefore keep task demands light enough that argumentation can persist.

Design Implications¶

Context¶

Requirements¶

• Activities should still provide artifacts and arguments that can seed discussion, but without overloading students with simultaneous task demands

Constraints¶

• The recommendation arises from one analyzed lesson; the authors confess that in their program students prioritized the teachers' demands, which contributed to the board subordinating them

Target Learners¶

• Grade 7 students in interdisciplinary dialogic programs

Target Learning Goals¶

• Sustained collaborative dialogic argumentation around societal issues

Claims¶

• Non-human actants such as a Bristol board and task instructions can subordinate students and render classroom talk non-dialogic [+W]
• Dialogic networks in classroom talk can dissolve into non-dialogic ones when task instructions and artifacts regain power over students [+W]

Related Strategies¶

• Sort And Classify

Examples¶

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Key Sources¶

• Baruch B. Schwarz, Udi Tsemach, Mirit Israeli, Erez Nir. (2025). Actor-network theory as a new direction in research on educational dialogues. Instructional Science. https://doi.org/10.1007/s11251-024-09669-5