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Barbara Ericson

Barbara Ericson

University of Michigan

H-index: 25

North America-United States

Contact Barbara Ericson

About Barbara Ericson

Barbara Ericson, With an exceptional h-index of 25 and a recent h-index of 21 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Computing Education, Computer Science Education, Diversity in Computing, Interactive Ebooks, Mixed-up code (Parsons) Problems.

His recent articles reflect a diverse array of research interests and contributions to the field:

Supporting Instructors Adoption of Peer Instruction

Integrating Personalized Parsons Problems with Multi-Level Textual Explanations to Scaffold Code Writing

Undergraduate Student Attitudes towards a Social Justice Context in a Programming Project

CodeTailor: Personalized Parsons Puzzles are Preferred Over AI-Generated Solutions to Support Learning

Multi-Institutional Multi-National Studies of Parsons Problems

Understanding the Effects of Using Parsons Problems to Scaffold Code Writing for Students with Varying CS Self-Efficacy Levels

How novices use LLM-based code generators to solve CS1 coding tasks in a self-paced learning environment

Peer+: A Tool to Support Peer Instruction in Interactive Ebooks

Barbara Ericson Information

University

Position

Assistant Professor School of Information

Citations(all)

2164

Citations(since 2020)

1282

Cited By

1314

hIndex(all)

25

hIndex(since 2020)

21

i10Index(all)

42

i10Index(since 2020)

32

Email

University Profile Page

Google Scholar

Barbara Ericson Skills & Research Interests

Computing Education

Computer Science Education

Diversity in Computing

Interactive Ebooks

Mixed-up code (Parsons) Problems

Top articles of Barbara Ericson

Supporting Instructors Adoption of Peer Instruction

2024/3/14

Xingjian Gu
Xingjian Gu

H-Index: 3

Zihan Wu
Zihan Wu

H-Index: 1

Integrating Personalized Parsons Problems with Multi-Level Textual Explanations to Scaffold Code Writing

2024/3/14

Xinying Hou
Xinying Hou

H-Index: 1

Xu Wang
Xu Wang

H-Index: 7

Undergraduate Student Attitudes towards a Social Justice Context in a Programming Project

2024/3/7

Aadarsh Padiyath
Aadarsh Padiyath

H-Index: 0

Barbara Ericson
Barbara Ericson

H-Index: 16

CodeTailor: Personalized Parsons Puzzles are Preferred Over AI-Generated Solutions to Support Learning

arXiv preprint arXiv:2401.12125

2024/1/22

Xinying Hou
Xinying Hou

H-Index: 1

Zihan Wu
Zihan Wu

H-Index: 1

Xu Wang
Xu Wang

H-Index: 7

Multi-Institutional Multi-National Studies of Parsons Problems

2023/12/22

Aadarsh Padiyath
Aadarsh Padiyath

H-Index: 0

Angela Zavaleta Bernuy
Angela Zavaleta Bernuy

H-Index: 0

Understanding the Effects of Using Parsons Problems to Scaffold Code Writing for Students with Varying CS Self-Efficacy Levels

2023/11/13

Xinying Hou
Xinying Hou

H-Index: 1

Xu Wang
Xu Wang

H-Index: 7

How novices use LLM-based code generators to solve CS1 coding tasks in a self-paced learning environment

2023/11/13

Majeed Kazemitabaar
Majeed Kazemitabaar

H-Index: 4

Xinying Hou
Xinying Hou

H-Index: 1

David Weintrop
David Weintrop

H-Index: 20

Tovi Grossman
Tovi Grossman

H-Index: 40

Peer+: A Tool to Support Peer Instruction in Interactive Ebooks

2023/8/7

Xingjian Gu
Xingjian Gu

H-Index: 3

Aadarsh Padiyath
Aadarsh Padiyath

H-Index: 0

Using Micro Parsons Problems to Scaffold the Learning of Regular Expressions

2023/6/29

Zihan Wu
Zihan Wu

H-Index: 1

Christopher Brooks
Christopher Brooks

H-Index: 9

Parsons Problems to Scaffold Code Writing: Impact on Performance and Problem-Solving Efficiency

2023/6/29

Xinying Hou
Xinying Hou

H-Index: 1

Xu Wang
Xu Wang

H-Index: 7

Conducting multi-institutional studies of Parsons problems

2023/6/29

Aadarsh Padiyath
Aadarsh Padiyath

H-Index: 0

Angela Zavaleta Bernuy
Angela Zavaleta Bernuy

H-Index: 0

Studying the effect of ai code generators on supporting novice learners in introductory programming

2023/4/19

Majeed Kazemitabaar
Majeed Kazemitabaar

H-Index: 4

David Weintrop
David Weintrop

H-Index: 20

Tovi Grossman
Tovi Grossman

H-Index: 40

Four ways to add active learning to computing courses

Communications of the ACM

2023/1/20

Barbara Ericson
Barbara Ericson

H-Index: 16

The Future of Computing Education Materials

2023

Peter Brusilovsky
Peter Brusilovsky

H-Index: 42

Frank Vahid
Frank Vahid

H-Index: 21

Craig Zilles
Craig Zilles

H-Index: 20

Significant Trends in CS Educational Material: Current and Future

2022/3/1

Peter Brusilovsky
Peter Brusilovsky

H-Index: 42

Frank Vahid
Frank Vahid

H-Index: 21

Craig Zilles
Craig Zilles

H-Index: 20

Free and Interactive Ebooks for Computing Courses with New Types of Parsons Problems and Support for Peer Instruction

2022/3/1

Critiquing Computing Artifacts through Programming Satirical Python Scripts

2022/3/1

Aadarsh Padiyath
Aadarsh Padiyath

H-Index: 0

Barbara Ericson
Barbara Ericson

H-Index: 16

Detecting Struggling Students from Interactive Ebook Data: A Case Study Using CSAwesome

2022/2/22

Lessons Learned from Scaling Sisters Rise Up

2022/2/22

Patricia Garcia
Patricia Garcia

H-Index: 6

Joi-Lynn Mondisa
Joi-Lynn Mondisa

H-Index: 6

Parsons problems and beyond: Systematic literature review and empirical study designs

2022/12/27

Paul Denny
Paul Denny

H-Index: 21

James Prather
James Prather

H-Index: 6

Juho Leinonen
Juho Leinonen

H-Index: 9

See List of Professors in Barbara Ericson University(University of Michigan)