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Strategies for Teaching a Large and Technically Diverse Class

Published:11 October 2023Publication History

ABSTRACT

Many classes in Information Technology programs often attract students with varying technical abilities and diverse academic backgrounds. Teaching such a diverse class makes it difficult to provide instruction that sufficiently engages all the students without overwhelming students with limited technical knowledge. This paper presents a set of simple and effective strategies that can be adopted by any instructor to teach a large and technically diverse class. These strategies have been evaluated via a survey of students in a graduate-level machine learning and data mining class. The results show that all the strategies were effective in aiding the students to complete the class; extra-credit assignments, collaborative tasks, and hand-on learning activities were most helpful in completing the class. Most of the students indicated a skill increase upon class completion, showing that the strategies satisfied the needs of most students.

References

  1. Ernst, H. R., & Ernst, T. L. (2005). The promise and pitfalls of differentiated instruction for undergraduate political science courses: Student and instructor impressions of an unconventional teaching strategy. Journal of Political Science Education, 1(1), 39-59. Google ScholarGoogle ScholarCross RefCross Ref
  2. Said, H., Zidar, M., Varlioglu, S., & Itodo, C. (2021, October). A Framework for the Discipline of Information Technology. In Proceedings of the 22nd Annual Conference on Information Technology Education (pp. 53-54). Google ScholarGoogle ScholarDigital LibraryDigital Library
  3. Stockman, M., Leung, S., Nyland, J., & Said, H. (2006). The information technology minor: filling a need in the workforce of today. In Proceedings of the 7th conference on Information technology education (pp. 31-34). Google ScholarGoogle ScholarDigital LibraryDigital Library

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  1. Strategies for Teaching a Large and Technically Diverse Class

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    • Published in

      cover image ACM Conferences
      SIGITE '23: Proceedings of the 24th Annual Conference on Information Technology Education
      October 2023
      230 pages
      ISBN:9798400701306
      DOI:10.1145/3585059

      Copyright © 2023 Owner/Author

      Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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      Association for Computing Machinery

      New York, NY, United States

      Publication History

      • Published: 11 October 2023

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      • extended-abstract
      • Research
      • Refereed limited

      Acceptance Rates

      Overall Acceptance Rate176of429submissions,41%
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