Kristen E. DiCerbo

1.2k citations
35 papers · 590 indexed · h-index 12
Topics
Intelligent Tutoring Systems and Adaptive Learning (14 papers)Online Learning and Analytics (10 papers)Innovative Teaching and Learning Methods (8 papers)
Partner nations
United StatesChinaCanada

In The Last Decade

Kristen E. DiCerbo

34 papers receiving 504 citations

Peers

Kristen E. DiCerbo
Comparison fields: 5 of 78
  • Developmental and Educational Psychology 250
  • Education 234
  • Computer Science Applications 206
  • Artificial Intelligence 134
  • Information Systems 77
Replace Sin Wang Chong with:
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Nicolas Balacheff France
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Citations per field
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Countries citing papers authored by Kristen E. DiCerbo

Since Specialization
Citations

This map shows the geographic impact of Kristen E. DiCerbo'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 Kristen E. DiCerbo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kristen E. DiCerbo more than expected).

Fields of papers citing papers by Kristen E. DiCerbo

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kristen E. DiCerbo. 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 Kristen E. DiCerbo. The network helps show where Kristen E. DiCerbo may publish in the future.

Co-authorship network of co-authors of Kristen E. DiCerbo

This figure shows the co-authorship network connecting the top 25 collaborators of Kristen E. DiCerbo. A scholar is included among the top collaborators of Kristen E. DiCerbo 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 Kristen E. DiCerbo. Kristen E. DiCerbo is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
#WorkIndexed citations
1 6
2 6
3 7
4 3
5
Game-Based Assessment of Persistence.
55
6 1
7
Detecting Player Goals from Game Log Files
6
8 28
9 1
10
A Bayesian Network Approach to Modeling Learning Progressions and Task Performance. CRESST Report 776.
4
11
An Evidence Centered Design for Learning and Assessment in the Digital World. CRESST Report 778.
1
12
A Bayes net approach to modeling learning progressions and task performances
8
13 26
14 19
15 5
16
Exito en California? A Critique of Language Program Evaluations.
2
17 15
18 30
19 1
20
Effective Thinking: An Active-Learning Course in Critical Thinking
11

About Kristen E. DiCerbo

Kristen E. DiCerbo is a scholar working on Computer Science Applications, Developmental and Educational Psychology and Artificial Intelligence, having authored 35 papers that have together received 590 indexed citations. Recurring topics across this work include Intelligent Tutoring Systems and Adaptive Learning (14 papers), Online Learning and Analytics (10 papers) and Innovative Teaching and Learning Methods (8 papers). The work is most often cited by research in Computer Science Applications (206 citations), Developmental and Educational Psychology (250 citations) and Education (234 citations). Kristen E. DiCerbo has collaborated with scholars based in United States, China and Canada. Frequent co-authors include John T. Behrens, Robert J. Mislevy, Roy Levy, Emily Lai, Peter W. Foltz, Barry Leshowitz, Kate Mahoney, Marilyn S. Thompson, Jeff MacSwan and Morris A. Okun. Their work appears in journals such as SHILAP Revista de lepidopterología, Information Sciences and Teachers College Record The Voice of Scholarship in Education.

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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