Joseph B. Wiggins

688 total citations
27 papers, 395 citations indexed

About

Joseph B. Wiggins is a scholar working on Artificial Intelligence, Developmental and Educational Psychology and Computer Science Applications. According to data from OpenAlex, Joseph B. Wiggins has authored 27 papers receiving a total of 395 indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Artificial Intelligence, 15 papers in Developmental and Educational Psychology and 10 papers in Computer Science Applications. Recurrent topics in Joseph B. Wiggins's work include Intelligent Tutoring Systems and Adaptive Learning (13 papers), Innovative Teaching and Learning Methods (13 papers) and Teaching and Learning Programming (8 papers). Joseph B. Wiggins is often cited by papers focused on Intelligent Tutoring Systems and Adaptive Learning (13 papers), Innovative Teaching and Learning Methods (13 papers) and Teaching and Learning Programming (8 papers). Joseph B. Wiggins collaborates with scholars based in United States. Joseph B. Wiggins's co-authors include Kristy Elizabeth Boyer, Eric Wiebe, James C. Lester, Joseph F. Grafsgaard, Bradford Mott, Collin Lynch, Andrew Emerson, Andy Smith, Eun Young Ha and Aysu Ezen-Can and has published in prestigious journals such as Proceedings of the ACM on Human-Computer Interaction, International Journal of Artificial Intelligence in Education and International Journal of Child-Computer Interaction.

In The Last Decade

Joseph B. Wiggins

26 papers receiving 368 citations

Peers

Joseph B. Wiggins

CSA

DEP

ECP

Joseph F. Grafsgaard United States

Weinan Zhao China

Scott McQuiggan United States

Kiavash Bahreini Netherlands

Shulan Lu United States

Toby Dragon United States

Barry Kort United States

Tod Machover United States

Bethany McDaniel United States

Derek Harter United States

Joseph F. Grafsgaard United States

Joseph B. Wiggins

177 ×1.1

CSA

237 ×1.6

148 ×1.2

DEP

143 ×1.3

ECP

93 ×1.3

Citations per year, relative to Joseph B. Wiggins Joseph B. Wiggins (= 1×) peers Joseph F. Grafsgaard

Countries citing papers authored by Joseph B. Wiggins

Since Specialization

Citations

This map shows the geographic impact of Joseph B. Wiggins's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Joseph B. Wiggins with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph B. Wiggins more than expected).

Fields of papers citing papers by Joseph B. Wiggins

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph B. Wiggins. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joseph B. Wiggins. The network helps show where Joseph B. Wiggins may publish in the future.

Co-authorship network of co-authors of Joseph B. Wiggins

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph B. Wiggins. A scholar is included among the top collaborators of Joseph B. Wiggins based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joseph B. Wiggins. Joseph B. Wiggins is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Wiggins, Joseph B., et al.. (2025). The Rural CS+Agriculture Alliance Research Practitioner Partnership: Experience Report. 1211–1217.

Wiggins, Joseph B., et al.. (2025). Leveraging Design-Based Research in the Development of a Technology-Based Intervention for Students With Disabilities. Journal of Special Education Technology. 40(2). 195–207. 1 indexed citations

Wiggins, Joseph B., Yingbo Ma, Kristy Elizabeth Boyer, et al.. (2024). The impact of near-peer virtual agents on computer science attitudes and collaborative dialogue. International Journal of Child-Computer Interaction. 40. 100646–100646. 2 indexed citations

Wiggins, Joseph B., et al.. (2023). Exploring Usability Issues in Instruction-Based and Schema-Based Authoring of Task-Oriented Dialogue Agents. 1–6. 4 indexed citations

Wiggins, Joseph B., et al.. (2022). Investigating the Relationship Between Dialogue States and Partner Satisfaction During Co-Creative Learning Tasks. International Journal of Artificial Intelligence in Education. 33(3). 543–582. 1 indexed citations

Wiggins, Joseph B., Yingbo Ma, Ruohan Liu, et al.. (2022). Building the dream team. 1–8. 2 indexed citations

Rachmatullah, Arif, Bradford Mott, James C. Lester, et al.. (2021). Applying Cognitive Load Theory to Examine STEM Undergraduate Students’ Experiences in An Adaptive Learning Environment: A Mixed-Methods Study. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 65(1). 556–560. 3 indexed citations

Wiggins, Joseph B., Andrew Emerson, Andy Smith, et al.. (2021). Exploring Novice Programmers' Hint Requests in an Intelligent Block-Based Coding Environment. 52–58. 9 indexed citations

Wiggins, Joseph B., et al.. (2020). Novice Debugging in Block-Based and Hybrid Environments. 1291–1291. 5 indexed citations

10.

Wiggins, Joseph B., et al.. (2020). Designing a visualization tool for children to reflect on their collaborative dialogue. International Journal of Child-Computer Interaction. 27. 100232–100232. 11 indexed citations

11.

Wiggins, Joseph B., Wookhee Min, Kristy Elizabeth Boyer, et al.. (2018). User Affect and No-Match Dialogue Scenarios. 5. 6–14. 1 indexed citations

12.

Wiggins, Joseph B., et al.. (2017). Think First: Fostering Substantive Contributions in Collaborative Problem-Solving Dialogues. Computer Supported Collaborative Learning. 6 indexed citations

13.

Wiggins, Joseph B., et al.. (2016). The Affective Impact of Tutor Questions: Predicting Frustration and Engagement.. Educational Data Mining. 247–254. 11 indexed citations

14.

Min, Wookhee, Joseph B. Wiggins, Kristy Elizabeth Boyer, et al.. (2016). Predicting Dialogue Acts for Intelligent Virtual Agents with Multimodal Student Interaction Data.. Educational Data Mining. 454–459. 6 indexed citations

15.

Wiggins, Joseph B., Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Eric Wiebe, & James C. Lester. (2016). Do You Think You Can? The Influence of Student Self-Efficacy on the Effectiveness of Tutorial Dialogue for Computer Science. International Journal of Artificial Intelligence in Education. 27(1). 130–153. 21 indexed citations

16.

Grafsgaard, Joseph F., Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric Wiebe, & James C. Lester. (2014). Predicting Learning and Affect from Multimodal Data Streams in Task-Oriented Tutorial Dialogue.. Educational Data Mining. 122–129. 32 indexed citations

17.

Wiggins, Joseph B., Joseph F. Grafsgaard, Kristy Elizabeth Boyer, Eric Wiebe, & James C. Lester. (2014). The relationship between task difficulty and emotion in online computer programming tutoring (abstract only). 721–721. 1 indexed citations

18.

Grafsgaard, Joseph F., Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric Wiebe, & James C. Lester. (2013). Automatically Recognizing Facial Expression: Predicting Engagement and Frustration. Educational Data Mining. 43–50. 112 indexed citations

19.

Grafsgaard, Joseph F., Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric Wiebe, & James C. Lester. (2013). Modeling student programming with multimodal learning analytics (abstract only). 736–736. 2 indexed citations

20.

Grafsgaard, Joseph F., Joseph B. Wiggins, Kristy Elizabeth Boyer, Eric Wiebe, & James C. Lester. (2013). Automatically Recognizing Facial Indicators of Frustration: A Learning-centric Analysis. 159–165. 54 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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