Publications

publications by categories in reversed chronological order. generated by jekyll-scholar.

2025

  1. Grokking Relational Database Design
    Qiang Hao, and Michail Tsikerdekis
    2025
    Blog Code Website
  2. Towards Integrating Behavior-Driven Development in Mobile Development: An Experience Report
    Qiang Hao, and Ruohan Liu
    In Proceedings of the 56th ACM Technical Symposium on Computer Science Education V. 1, 2025
    PDF
    0 Google Scholar citations

2024

  1. Early identification of struggling students in large computer science courses: A replication study
    Nils Rys-Recker, and Qiang Hao
    In 2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC), 2024
    PDF
    1 Google Scholar citations

2023

  1. Exploring Differences in Planning between Students with and without Prior Experience in Programming
    Ryan Parsons, Qiang Hao, and Lu Ding
    In 2023 ASEE Annual Conference & Exposition, 2023
    PDF
    1 Google Scholar citations

2022

  1. Early identification of student struggles at the topic level using context-agnostic features
    Kai Arakawa, Qiang Hao, Wesley Deneke, and 3 more authors
    In Proceedings of the 53rd ACM Technical Symposium on Computer Science Education-Volume 1, 2022
    DOI PDF
    17 Google Scholar citations
  2. Towards understanding the effective design of automated formative feedback for programming assignments
    Qiang Hao, David H Smith IV, Lu Ding, and 7 more authors
    Computer Science Education, 2022
    DOI PDF
    67 Google Scholar citations

2021

  1. Quantifying the effects of active learning environments: separating physical learning classrooms from pedagogical approaches
    Qiang Hao, Bradley Barnes, and Mengguo Jing
    Learning Environments Research, 2021
    PDF
    52 Google Scholar citations
  2. Towards modeling student engagement with interactive computing textbooks: An empirical study
    David H Smith IV, Qiang Hao, Christopher D Hundhausen, and 3 more authors
    In Proceedings of the 52nd ACM Technical Symposium on Computer Science Education, 2021
    PDF
    24 Google Scholar citations
  3. In situ identification of student self-regulated learning struggles in programming assignments
    Kai Arakawa, Qiang Hao, Tyler Greer, and 3 more authors
    In Proceedings of the 52nd ACM technical symposium on computer science education, 2021
    PDF
    29 Google Scholar citations
  4. Examine Educational Opportunity and Inequality Using Machine Learning Methods with US National Data
    Yan Liu, Lok Heng Chau, and Qiang Hao
    In Proceedings of 2021 International Conference on Social Computing, Behavioral-Cultural Modeling & Prediction and Behavior Representation, 2021
    0 Google Scholar citations

2020

  1. Towards Understanding Online Question & Answer Interactions and their effects on student performance in large-scale STEM classes
    David H Smith IV, Qiang Hao, Vanessa Dennen, and 4 more authors
    International Journal of Educational Technology in Higher Education, 2020
    HTML
    42 Google Scholar citations

2019

  1. How automated feedback is delivered matters: Formative feedback and knowledge transfer
    Qiang Hao, and Michail Tsikerdekis
    In 2019 IEEE Frontiers in Education Conference (FIE), 2019
    PDF
    N/A Google Scholar citations
  2. Investigating the essential of meaningful automated formative feedback for programming assignments
    Qiang Hao, Jack P Wilson, Camille Ottaway, and 3 more authors
    In 2019 IEEE Symposium on Visual Languages and Human-Centric Computing (VL/HCC), 2019
    PDF
    26 Google Scholar citations
  3. A systematic investigation of replications in computing education research
    Qiang Hao, David H Smith IV, Naitra Iriumi, and 2 more authors
    ACM Transactions on Computing Education (TOCE), 2019
    DOI HTML PDF
    57 Google Scholar citations
  4. Quantifying the effects of prior knowledge in entry-level programming courses
    David H Smith IV, Qiang Hao, Filip Jagodzinski, and 2 more authors
    In Proceedings of the ACM Conference on Global Computing Education, 2019
    PDF
    25 Google Scholar citations
  5. On the effects of active learning environments in computing education
    Tyler Greer, Qiang Hao, Mengguo Jing, and 1 more author
    In Proceedings of the 50th ACM Technical Symposium on Computer Science Education, 2019
    PDF
    37 Google Scholar citations

2018

  1. Automatic identification of ineffective online student questions in computing education
    Qiang Hao, April Galyardt, Bradley Barnes, and 2 more authors
    In 2018 IEEE Frontiers in Education Conference (FIE), 2018
    PDF
    5 Google Scholar citations
  2. Effects of active learning environments and instructional methods in computer science education
    Qiang Hao, Bradley Barnes, Ewan Wright, and 1 more author
    In Proceedings of the 49th ACM Technical Symposium on Computer Science Education, 2018
    PDF
    30 Google Scholar citations
  3. Feature selection of post-graduation income of college students in the United States
    Ewan Wright, Qiang Hao, Khaled Rasheed, and 1 more author
    In Social, Cultural, and Behavioral Modeling: 11th International Conference, SBP-BRiMS 2018, Washington, DC, USA, July 10-13, 2018, Proceedings 11, 2018
    PDF
    7 Google Scholar citations

2017

  1. The influence of achievement goals on online help seeking of computer science students
    Qiang Hao, Brad Barnes, Ewan Wright, and 1 more author
    British Journal of Educational Technology, 2017
    PDF
    52 Google Scholar citations
  2. Predicting computer science students’ online help-seeking tendencies
    Qiang Hao, Brad Barnes, Robert Maribe Branch, and 1 more author
    Knowledge Management & E-Learning: An International Journal, 2017
    PDF
    26 Google Scholar citations

2016

  1. Consuming, sharing, and creating content: How young students use new social media in and outside school
    Jingyan Lu, Qiang Hao, and Mengguo Jing
    Computers in Human Behavior, 2016
    PDF
    150 Google Scholar citations
  2. What are the most important predictors of computer science students’ online help-seeking behaviors?
    Qiang Hao, Ewan Wright, Brad Barnes, and 1 more author
    Computers in Human Behavior, 2016
    PDF
    79 Google Scholar citations
  3. The effect of precommitment on student achievement within a technology-rich project-based learning environment
    Qiang Hao, Robert Maribe Branch, and Lucas Jensen
    TechTrends, 2016
    PDF
    29 Google Scholar citations

2014

  1. What factors impact on primary school students’ online engagement for learning and entertainment at home
    Jingyan Lu, and Qiang Hao
    Journal of Computers in Education, 2014
    PDF
    28 Google Scholar citations