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Jingdan Liu

As seen in: Nature, Wiley Online Library
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Articles

AI meets 5E: innovating blended learning through constructivism and self-determination theory

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By Jingdan Liu, Yuanyuan Wu, Xujie Bao, Hazrul Abdul Hamid
| Nature Verified
Abstract In exam-oriented university English as a foreign language (EFL) settings, artificial intelligence (AI) is increasingly promoted as a means to enhance learning, yet its impact depends on how it is embedded within coherent pedagogical designs.
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Large Field‐Of‐View Imaging Through Scattering Layers With Optimized Illumination and Localization-Grayscale Fusion

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By Haiming Yuan, Optoelectronics Engineering, Fei Wang, Jingdan Liu
| Wiley Online Library Verified
Conflict of Interest The authors declare no conflict of interest. Supporting Information Filename Description lpor70396-sup-0001-SuppMat.pdf4.4 MB Supporting Information References 1, , , , , , , Nat. Rev. Phys. 2020, 2, 141. 2, , in Confocal Microscopy, Springer Berlin Heidelberg, Berlin, Heidelberg, 2013, pp. 213–231. 3, , , , , , Opt. Express 2015, 23, 23845. 4, , , Science 1990, 248, 73. 5, , , Nat. Biotechnol. 2003, 21, 1369. 6, , , , , Opt. Express 2017, 25, 28914. 7, , , , , , , Nat.
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Swept coded aperture real-time femtophotography - Nature Communications

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By Jingdan Liu, Michel Hehn, Stéphane Mangin, Grégory Malinowski
| Nature Verified
Abstract Single-shot real-time femtophotography is indispensable for imaging ultrafast dynamics during their times of occurrence. Despite their advantages over conventional multi-shot approaches, existing techniques confront restricted imaging speed or degraded data quality by the deployed optoelectronic devices and face challenges in the application scope and acquisition accuracy. They are also hindered by the limitations in the acquirable information imposed by the sensing models.
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