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Learning Integrated STEM Using Tangible Agent-Based Modeling.

, and . ICLS, International Society of the Learning Sciences, (2014)

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Mathematical Machines and Integrated Stem: An Intersubjective Constructionist Approach., , , and . CSEDU (Selected Papers), volume 510 of Communications in Computer and Information Science, page 272-288. Springer, (2014)COIN: Communication-Aware In-Memory Acceleration for Graph Convolutional Networks., , , , , and . IEEE J. Emerg. Sel. Topics Circuits Syst., 12 (2): 472-485 (2022)Integrated STEM in Elementary Grades Using Distributed Agent-based Computation., , and . CSEDU (2), page 67-78. SciTePress, (2014)Accurate Inference with Inaccurate RRAM Devices: Statistical Data, Model Transfer, and On-line Adaptation., , , , , , , and . DAC, page 1-6. IEEE, (2020)Big-Little Chiplets for In-Memory Acceleration of DNNs: A Scalable Heterogeneous Architecture., , , , , , , and . ICCAD, page 8:1-8:9. ACM, (2022)MNSIM 2.0: A Behavior-Level Modeling Tool for Memristor-based Neuromorphic Computing Systems., , , , , , , , , and 3 other author(s). ACM Great Lakes Symposium on VLSI, page 83-88. ACM, (2020)System-Level Benchmarking of Chiplet-based IMC Architectures for Deep Neural Network Acceleration., , , , , and . ASICON, page 1-4. IEEE, (2021)3D-ISC: A 65nm 3D Compatible In-Sensor Computing Accelerator with Reconfigurable Tile Architecture for Real-Time DVS Data Compression., , , , , , , , , and 1 other author(s). A-SSCC, page 1-3. IEEE, (2023)Independent N and P process monitors for body bias based process corner correction., , , , and . CICC, page 1-4. IEEE, (2014)Robust RRAM-based In-Memory Computing in Light of Model Stability., , , , , , , , , and . IRPS, page 1-5. IEEE, (2021)