skip to main content
10.1145/3568812.3603462acmconferencesArticle/Chapter ViewAbstractPublication PagesicerConference Proceedingsconference-collections
abstract

Characterizing Computing Students’ Academic Help-seeking Behavior

Published: 13 September 2023 Publication History

Abstract

Academic help-seeking is a vital part of students’ self-regulated learning strategies. Computing students’ help-seeking horizon has seen several transformations in the past 15 years such that existing frameworks no longer capture current computing students’ learning environment, motivating a dedicated study on computing students’ academic help-seeking behavior. Building on extant works that focus on a single course or help source, my research investigates computing students’ academic help-seeking behavior across different contexts. By analyzing students’ help-seeking records, my research seeks to understand how and why computing students transition between available help resources while seeking help, as well as how this process changes in different contexts.

References

[1]
Andrew Deorio and Christina Keefer. 2022. When is Automated Feedback a Barrier to Timely Feedback?. In ASEE.
[2]
[2] Ed Discussion. 2023. https://edstem.org/.
[3]
Augie Doebling and Ayaan M. Kazerouni. 2021. Patterns of Academic Help-Seeking in Undergraduate Computing Students. In ACM Koli Calling. 13:1–13:10.
[4]
Carlton J. Fong, Cassandra Gonzales, Christie Hill-Troglin Cox, and Holly B. Shinn. 2021. Academic help-seeking and achievement of postsecondary students: A meta-analytic investigation.Journal of Educational Psychology (2021).
[5]
Zhikai Gao, Bradley Erickson, Yiqiao Xu, Collin Lynch, Sarah Heckman, and Tiffany Barnes. 2022. Admitting you have a problem is the first step: Modeling when and why students seek help in programming assignments. In EDM. 508–514.
[6]
Zhikai Gao, Sarah Heckman, and Collin Lynch. 2022. Who Uses Office Hours?: A Comparison of In-Person and Virtual Office Hours Utilization. In ACM SIGCSE TS, Vol. 1. 300–306.
[7]
Zhikai Gao, Collin F. Lynch, Sarah Heckman, and Tiffany Barnes. 2021. Automatically classifying student help requests: a multi-year analysis. In EDM. 81–92.
[8]
Andrew D. Hilton, Genevieve M. Lipp, and Susan H. Rodger. 2019. Translation from Problem to Code in Seven Steps. In ACM CompEd. 78–84.
[9]
Stuart A. Karabenick and Myron H. Dembo. 2011. Understanding and facilitating self-regulated help seeking. New Directions for Teaching and Learning 2011 (2011), 33–43. Issue 126.
[10]
Shao-Heng Ko and Kristin Stephens-Martinez. 2023. What drives students to office hours: individual differences and similarities. In ACM SIGCSE TS. 959–965.
[11]
Dastyni Loksa, Lauren E. Margulieux, Brett A. Becker, Michelle Craig, Paul Denny, Raymond Pettit, and James Prather. 2022. Metacognition and Self-Regulation in Programming Education: Theories and Exemplars of Use. Trans. Comput. Educ. 22, 4 (2022), 39:1–39:31.
[12]
Kara A. Makara and Stuart A. Karabenick. 2013. Characterizing sources of academic help in the age of expanding educational technology: A new conceptual framework. In Advances in help-seeking research and applications: The role of emerging technologies, Stuart A. Karabenick and Minna Puustinen (Eds.). IAP, 37–72.
[13]
Amogh Mannekote, Mehmet Celepkolu, Aisha Chung Galdo, Kristy Elizabeth Boyer, Maya Israel, Sarah Heckman, and Kristin Stephens-Martinez. 2022. Don’t Just Paste Your Stacktrace: Shaping Discussion Forums in Introductory CS Courses. In ACM SIGCSE TS. 1164–1164.
[14]
Diba Mirza, Phillip T. Conrad, Christian Lloyd, Ziad Matni, and Arthur Gatin. 2019. Undergraduate Teaching Assistants in Computer Science: A Systematic Literature Review. In ACM ICER. 31–40.
[15]
[15] MyDigitalHand. 2023. https://beta.mydigitalhand.org/.
[16]
[16] Piazza. 2023. https://piazza.com/.
[17]
Yanyan Ren, Shriram Krishnamurthi, and Kathi Fisler. 2019. What Help Do Students Seek in TA Office Hours?. In ACM ICER. 41–49.
[18]
Aaron J. Smith, Kristy Elizabeth Boyer, Jeffrey Forbes, Sarah Heckman, and Ketan Mayer-Patel. 2017. My Digital Hand: A Tool for Scaling Up One-to-One Peer Teaching in Support of Computer Science Learning. In ACM SIGCSE TS. 549–554.
[19]
Sadhana Suryadevara and Kristin Stephens-Martinez. 2022. UPIC a Problem-Solving Framework: Understand, Plan, Implement, and Correctness/Debugging. In ACM ICER, Vol. 2. 50–51.
[20]
Adrian Thinnyun, Ryan Lenfant, Raymond Pettit, and John R. Hott. 2021. Gender and Engagement in CS Courses on Piazza. In ACM SIGCSE TS. 438–444.
[21]
Bogdan Vasilescu, Andrea Capiluppi, and Alexander Serebrenik. 2014. Gender, representation and online participation: A quantitative study. Interacting with Computers 26, 5 (2014), 488–511.
[22]
Mickey Vellukunnel, Philip Sheridan Buffum, Kristy Elizabeth Boyer, Jeffrey Forbes, Sarah Heckman, and Ketan Mayer-Patel. 2017. Deconstructing the Discussion Forum: Student Questions and Computer Science Learning. In ACM SIGCSE TS. 603–608.
[23]
Elizabeth Wirtz, Amy Dunford, Edward Berger, Elizabeth Briody, Gireesh Guruprasad, and Ryan Senkpeil. 2018. Resource usage and usefulness: academic help-seeking behaviours of undergraduate engineering students. Australasian Journal of Engineering Education 23, 2 (2018), 62–70.
[24]
Matthew Zahn, Lina Battestilli, and Sarah Heckman. 2022. Describing Academic Help Seeking Patterns in Introductory Computer Science Courses. In ASEE.

Recommendations

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences
ICER '23: Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 2
August 2023
140 pages
ISBN:9781450399753
DOI:10.1145/3568812
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.

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 13 September 2023

Check for updates

Author Tag

  1. Academic help-seeking

Qualifiers

  • Abstract
  • Research
  • Refereed limited

Conference

ICER 2023
Sponsor:

Acceptance Rates

Overall Acceptance Rate 189 of 803 submissions, 24%

Contributors

Other Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

  • 0
    Total Citations
  • 54
    Total Downloads
  • Downloads (Last 12 months)54
  • Downloads (Last 6 weeks)4
Reflects downloads up to 22 Sep 2024

Other Metrics

Citations

View Options

Get Access

Login options

View options

PDF

View or Download as a PDF file.

PDF

eReader

View online with eReader.

eReader

HTML Format

View this article in HTML Format.

HTML Format

Media

Figures

Other

Tables

Share

Share

Share this Publication link

Share on social media