Desmos Classroom Activities¶

Strategy · All strategies
Evidence · 7 claims (6 for, 1 mixed) · 25 studies (10 quant-synthesis, 7 causal, 5 review, 2 theoretical, 1 associational), q1–q4 · 8 of 25 report an effect size

Description¶

Desmos Classroom Activities (teacher.desmos.com) are browser-based mathematics lessons built from interactive screens — graphing tasks, card sorts, marbleslides, and response prompts — that students work through while the teacher orchestrates pacing and monitors anonymized student work on a dashboard. The teacher can pause the class, showcase individual student responses, and sequence discussion around the work students actually produce, making the activity a vehicle for formative assessment rather than self-paced drill.

Design Implications¶

The strategy's core mechanism is making student thinking collectively visible: because every response streams to the teacher dashboard, instruction can respond to actual student conceptions rather than anticipated ones, which is the defining move of responsive, active learning active-learning-improves-exam-performance [+S]. Interactive graphing manipulatives offload the mechanics of plotting and computation, letting working memory attend to structure and relationships chunking-reduces-working-memory-load [+M]. The teacher's pause-and-discuss moves are essential: activities left to run as unguided exploration produce weaker learning than the same screens embedded in teacher-led discussion and practice cycles.

Context¶

Requirements¶

• A device per student (laptop, tablet, or phone) and reliable internet access
• A teacher dashboard session with the activity pre-loaded and pacing planned in advance
• Deliberate facilitation: pausing at designed moments, anonymizing and sequencing student work for discussion, and following screens with verbal consolidation
• A short debrief that connects the activity's informal reasoning to formal mathematical notation

Constraints¶

• Unguided screen-by-screen exploration without teacher orchestration yields shallow engagement; the dashboard is a formative-assessment tool, not a self-teaching system [-M]
• Card sorts and multiple-choice screens can be completed by pattern-matching or guessing without conceptual understanding if responses are never discussed [-M]
• Device and connectivity requirements create access barriers; activities need low-tech fallbacks for equity
• Overuse of gamified screens (e.g., marbleslides) can shift attention toward puzzle-solving satisfaction rather than the underlying mathematics [~W]

Implementation Variability¶

• Full lesson replacement: a complete Desmos activity (e.g., "Polygraph: Parabolas") as the core of a class period, with teacher-paced discussion between screens
• Warm-up or exit ticket: a 2–3 screen activity used to surface prior conceptions or check retention spaced-repetition-improves-retention [+S]
• Card sorts for discrimination: students sort examples and non-examples, then the teacher displays mismatch patterns to drive discussion multiple-contrasting-cases-support-abstraction [+M]
• Asynchronous/flipped use: screens assigned before class to gather data that shapes the in-person lesson, as in a flipped classroom

Target Learners¶

• Middle and secondary mathematics students, where dynamic graphing most directly supports conceptual development
• Reluctant participants: anonymized dashboard display lowers the social cost of contributing, broadening participation in class discussion [+W]
• Less effective for learners who already have strong procedural fluency, for whom the scaffolding embedded in screens adds little expertise-reversal-effect [~M]

Target Learning Goals¶

• Conceptual understanding of functions, graphs, and transformations
• Mathematical discourse: justifying and critiquing reasoning with peers
• Formative assessment data on student conceptions for the teacher

Instructions¶

1. Select or author an activity aligned to the lesson goal; preview every screen and plan which responses will anchor discussion.
2. Launch with a low-floor opening screen that activates prior knowledge activation.
3. Monitor the dashboard while students work; identify two or three contrasting responses to sequence for discussion.
4. Pause the class at designed moments and display anonymized student work, asking students to compare and justify approaches self-explanation-improves-conceptual-understanding [+S].
5. Consolidate: connect the activity's informal language to formal notation, and follow with independent practice or an assessment screen to check transfer.

Related Strategies¶

• Think-Pair-Share — the pause-and-discuss moments within an activity enact the same structure
• Peer Instruction — dashboard-revealed response distributions serve the same function as clicker votes
• Worked Examples — some Desmos screens present annotated solutions before student attempts

Examples¶

• Polygraph: Parabolas — a paired guessing game where students ask questions to identify a graph, forcing precise vocabulary use; the teacher dashboard reveals which vocabulary gaps block progress.
• Marbleslides — students transform function equations to guide marbles through stars, receiving immediate visual feedback at the task level feedback-most-effective-at-task-and-process-levels [+S].
• Card sorts (e.g., "Card Sort: Linear Functions") — students match representations; the teacher displays class mismatch data to target re-teaching.

Key Sources¶

• Roschelle, J., Penuel, W. R., & Shechtman, N. (2006). Co-design and the implementation of wireless response technology. Journal of Science Education and Technology, 15(5–6), 501–512.
• Drijvers, P., Kieran, C., & Mariotti, M. A. (2010). Integrating technology into mathematics education: Theoretical perspectives. In C. Hoyles & J.-B. Lagrange (Eds.), Mathematics education and technology-rethinking the terrain (pp. 89–132). Springer.
• Hattie, J., & Timperley, H. (2007). The power of feedback. Review of Educational Research, 77(1), 81–112. doi:10.3102/003465430298487
• Freeman, S., et al. (2014). Active learning increases student performance in science, engineering, and mathematics. PNAS, 111(23), 8410–8415. doi:10.1073/pnas.1319030111