https://orcid.org/0000-0002-9231-0481Citations (18)
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Moti Zwilling. (2023) Big Data Challenges in Social Sciences: An NLP Analysis. Journal of Computer Information Systems 63:3, pages 537-554.
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Katie A. McCarthy & Gregory A. Kuhlemeyer. (2023) Preparing Analytics-Enabled Professionals in Finance Using a Simultaneous Team-Teaching Approach: A Case Study. Journal of Statistics and Data Science Education 0:0, pages 1-10.
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David W. Gerbing. (2021) Enhancement of the Command-Line Environment for use in the Introductory Statistics Course and Beyond. Journal of Statistics and Data Science Education 29:3, pages 251-266.
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Roger D. Peng, Athena Chen, Eric Bridgeford, Jeffrey T. Leek & Stephanie C. Hicks. (2021) Diagnosing Data Analytic Problems in the Classroom. Journal of Statistics and Data Science Education 29:3, pages 267-276.
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Nicholas J. Horton & Johanna S. Hardin. (2021) Integrating Computing in the Statistics and Data Science Curriculum: Creative Structures, Novel Skills and Habits, and Ways to Teach Computational Thinking. Journal of Statistics and Data Science Education 29:sup1, pages S1-S3.
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Dennis Tay. Data analytics and programming for linguistics students: A SWOT and survey study. Journal of Statistics and Data Science Education 0:0, pages 1-33.
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Articles from other publishers (12)
Azlan Ismail, Sofianita Mutalib & Haryani Haron. (2023) Data science technology course: The design, assessment and computing environment perspectives. Education and Information Technologies 28:8, pages 10209-10234.
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Yeison Nolberto Cardona-Álvarez, Andrés Marino Álvarez-Meza, David Augusto Cárdenas-Peña, Germán Albeiro Castaño-Duque & German Castellanos-Dominguez. (2023) A Novel OpenBCI Framework for EEG-Based Neurophysiological Experiments. Sensors 23:7, pages 3763.
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Elia Padilla & Esmeralda Campos. (2023) Students’ Understanding of the Mean Through Technology-Mediated Analysis of Real-Life Data. Students’ Understanding of the Mean Through Technology-Mediated Analysis of Real-Life Data.
Leon E. Burger. (2022) Teaching Data Science Programming Skills to Diverse Student Cohorts. Teaching Data Science Programming Skills to Diverse Student Cohorts.
Constance L. Gooding, Alex Lyford & Genie N. Giaimo. (2022) Writing goals in U.S. undergraduate data science course outlines: A textual analysis. Teaching Statistics 44:3, pages 110-118.
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Wensheng Wu. (2022) Data Science Course Projects with Peer Challenges. Data Science Course Projects with Peer Challenges.
Thomas Donoghue, Bradley Voytek & Shannon Ellis. (2022) Course Materials for Data Science in Practice. Journal of Open Source Education 5:51, pages 121.
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Dimitrios Doudesis & Areti Manataki. (2022) Data science in undergraduate medicine: Course overview and student perspectives. International Journal of Medical Informatics 159, pages 104668.
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Valentina Chkoniya. 2020. Encyclopedia of Quality of Life and Well-Being Research. Encyclopedia of Quality of Life and Well-Being Research
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Satoshi Yazawa, Kikue Sakaguchi & Kazuo Hiraki. (2021) GO-E-MON: A New Online Platform for Decentralized Cognitive Science. Big Data and Cognitive Computing 5:4, pages 76.
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Peter Kovacs, Eva Kuruczleki, Klara Kazar, Lilla Liptak & Tamas Racz. (2021) Modern teaching methods in action in statistical classes. Statistical Journal of the IAOS 37:3, pages 899-919.
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Seyedeh Zeinab Ghaheri, Alireza Hazbenejad, Fatemeh Maghsoudi & Esmat Radmanesh. (2021) Evaluation of the Medical Students' Satisfaction with Learning About Diabetes Through the Mobile App During the COVID-19 Pandemic. Journal of Medical Education 20:2.
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