Microalgae are potential renewable biodiesel raw materials, with the advantages of high oil yield per unit, no competition with farmland, and synergistic carbon dioxide fixation. However, microalgal biodiesel has not been widely commercialized so far, and the high cost of cultivation and recovery makes its product price less competitive with traditional petrochemical diesel. The main purpose of this paper is to study the design of experimental teaching of environmental microbiology based on the content of microalgae cultivation in the context of big data. Based on the analysis of the current situation of biology experiment teaching, this paper decides to adopt the method of design experiment teaching to carry out biology experiment teaching in high school. Experiments show that the impact of teaching on students' biological learning accounts for 31%, ranking after personal interests, which not only shows that teaching has a very important position in the factors that affect students' biological learning, but also shows that teaching is interesting, scientific, and diverse. Sex needs to be improved to further promote students' interest in biology.

Sahhil Kanvita. Experimental Teaching Design of Environmental Microbiology Based on Microalgae Culture under the Background of Big Data. Academic Journal of Environmental Biology (2021), Vol. 2, Issue 1: 10-20. https://doi.org/10.38007/AJEB.2021.020102.

[1] Ward J, Ochoa R, Eguchi A, et al. Chimeric Mouse With Humanized Liver Is an Appropriate Animal Model to Investigate Mode of Action for Porphyria-Mediated Hepatocytotoxicity:. Toxicologic Pathology, 2021, 49(7):1243-1254. https://doi.org/10.1177/01926233211027474

[2] Saleh A M, Althaqafi A . The Effect of Using Educational Games as a Tool in Teaching English Vocabulary to Arab Young Children: A Quasi-Experimental Study in a Kindergarten School in Saudi Arabia:. SAGE Open, 2021, 12(1):99-107. https://doi.org/10.1177/21582440221079806

[3] Kumar A K, Sharma S, Dixit G, et al. Techno-economic analysis of microalgae production with simultaneous dairy effluent treatment using a pilot-scale High Volume V-shape pond system. Renewable energy, 2020, 145(Jan.):1620-1632. https://doi.org/10.1016/j.renene.2019.07.087

[4] Baker R M, Leonard M E, Milosavljevic B H . The Sudden Switch to Online Teaching of an Upper-Level Experimental Physical Chemistry Course: Challenges and Solutions. Journal of Chemical Education, 2020, 97(9):3097-3101. https://doi.org/10.1021/acs.jchemed.0c00776

[5] Shukla A K, Singh P, Vardhan M . An adaptive inertia weight teaching-learning-based optimization algorithm and its applications. Applied Mathematical Modelling, 2020, 77(Jan.):309-326. https://doi.org/10.1016/j.apm.2019.07.046

[6] Hencklein L C, Silva R, Campos D G, et al. Effectiveness of Clinical Simulation and Peer-Assisted Learning to Teaching About the Sexuality of People With Spinal Cord Injury. Journal of Neuroscience Nursing, 2021, 53(5):208-214.

[7] Kim D, Olson W M . Using a Transfer-Focused Writing Pedagogy to Improve Undergraduates' Lab Report Writing in Gateway Engineering Laboratory Courses. IEEE Transactions on Professional Communication, 2020, 63(1):64-84. https://doi.org/10.1109/TPC.2019.2961009

[8] Miller Z M, Zhang J D, Donald W A, et al. Gas-Phase Protonation Thermodynamics of Biological Lipids: Experiment, Theory, and Implications. Analytical Chemistry, 2020, 92(15):10365-10374. https://doi.org/10.1021/acs.analchem.0c00613

[9] Heinisch J, Lockner Y, Hopmann C . Comparison of design of experiment methods for modeling injection molding experiments using artificial neural networks. Journal of Manufacturing Processes, 2021, 61(1-4):357-368.

[10] Sonowal G, Kuppusamy K S . PhiDMA – A phishing detection model with multi-filter approach - ScienceDirect. Journal of King Saud University - Computer and Information Sciences, 2020, 32( 1):99-112. https://doi.org/10.1016/j.jksuci.2017.07.005

[11] Goossens J W, Hafermann H, Jaouen Y . Data Transmission Based on Exact Inverse Periodic Nonlinear Fourier Transform, Part II: Waveform Design and Experiment. Journal of Lightwave Technology, 2020, PP(99):1-1. https://doi.org/10.1109/JLT.2020.3013163

[12] Badizi R M, Parizad A, Askari-Paykani M, et al. Optimization of mechanical properties using D-optimal factorial design of experiment: Electromagnetic stir casting process of A357SiC nanocomposite. Transactions of Nonferrous Metals Society of China, 2020, 30(5):1183-1194.

[13] Park H, Kim M, Lee B, et al. Design and Experiment of an Anthropomorphic Robot Hand for Variable Grasping Stiffness. IEEE Access, 2021, PP(99):1-1.

[14] Dirkx N, Oomen T . Multivariable Experiment Design with Application to a Wafer Stage: a Sequential Relaxation Approach for Dealing with Element-Wise Constraints. IFAC-PapersOnLine, 2020, 53( 2):8565-8570. https://doi.org/10.1016/j.ifacol.2020.12.564

[15] Ouaidat G, Cherouat A, Kouta R, et al. Numerical modeling of the mechanical behavior of proton exchange membrane fuel cell performance: Design of experiment study and optimization. International Journal of Hydrogen Energy, 2020, 45(46):25210-25226. https://doi.org/10.1016/j.ijhydene.2020.06.015

[16] Park E, Bae J, Park S, et al. Reconfiguration Solution of a Variable Topology Truss: Design and Experiment. IEEE Robotics and Automation Letters, 2020, PP(99):1-1.

[17] Kirkey A, Luber E, Cao B, et al. Optimization of the Bulk Heterojunction of All-smallmolecule Organic Photovoltaics Using Design of Experiment and Machine Learning Approaches. ACS Applied Materials And Interfaces, 2020, 12(49):54596-54607. https://doi.org/10.1021/acsami.0c14922

[18] Changade N M, Chavan M L, Jadhav S B, et al. Determination of emission uniformity of emitter in gravity fed drip irrigation system. International Agricultural Engineering Journal, 2020, 2(1):88-91.