Marcia Linn

Marcia Linn

University of California, Berkeley

H-index: 100

North America-United States

About Marcia Linn

Marcia Linn, With an exceptional h-index of 100 and a recent h-index of 48 (since 2020), a distinguished researcher at University of California, Berkeley,

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

A human‐centred learning analytics approach for developing contextually scalable K‐12 teacher dashboards

How Does an Adaptive Dialog Based on Natural Language Processing Impact Students From Distinct Language Backgrounds?

Using optimized clustering to identify students' science learning paths to knowledge integration

Explaining Thermodynamics: Impact of an Adaptive Dialog Based on a Natural Language Processing Idea Detection Model

Synergies between learning technologies and learning sciences: promoting equitable secondary school teaching

Curating Data Sets to Support Students to Create Complex, Investigable Questions About the Impacts of COVID-19

Students’ perceptions of the impacts of peer ideas in inquiry learning

Incorporating investigations of environmental racism into middle school science

Marcia Linn Information

University

Position

___

Citations(all)

47753

Citations(since 2020)

11943

Cited By

38778

hIndex(all)

100

hIndex(since 2020)

48

i10Index(all)

276

i10Index(since 2020)

141

Email

University Profile Page

University of California, Berkeley

Google Scholar

View Google Scholar Profile

Top articles of Marcia Linn

Title

Journal

Author(s)

Publication Date

A human‐centred learning analytics approach for developing contextually scalable K‐12 teacher dashboards

British Journal of Educational Technology

Korah Wiley

Yannis Dimitriadis

Marcia Linn

2024/5

How Does an Adaptive Dialog Based on Natural Language Processing Impact Students From Distinct Language Backgrounds?

Proceedings of the 17th International Conference of the Learning Sciences-ICLS 2023, pp. 1350-1353

Marlen Holtmann

Libby Gerard

Weiying Li

Marcia C Linn

Brian Riordan

...

2023

Using optimized clustering to identify students' science learning paths to knowledge integration

STEM Education Review

Teeba Obaid

Hosein Aghajani

Marcia C Linn

2023/4/27

Explaining Thermodynamics: Impact of an Adaptive Dialog Based on a Natural Language Processing Idea Detection Model

Proceedings of the 17th International Conference of the Learning Sciences-ICLS 2023, pp. 1306-1309

Weiying Li

Libby Gerard

Jonathan Lim-Breitbart

Allison Bradford

Marcia C Linn

...

2023

Synergies between learning technologies and learning sciences: promoting equitable secondary school teaching

Marcia C Linn

Dermot Donnelly-Hermosillo

Libby Gerard

2023/3/17

Curating Data Sets to Support Students to Create Complex, Investigable Questions About the Impacts of COVID-19

Proceedings of the 17th International Conference of the Learning Sciences-ICLS 2023, pp. 2063-2064

Kelly Billing

Christina McGhee-Esquivel

Jonathan Lim-Breitbart

Marcia C Linn

2023

Students’ perceptions of the impacts of peer ideas in inquiry learning

Instructional Science

Camillia Matuk

Marcia C Linn

2023/2

Incorporating investigations of environmental racism into middle school science

Science Education

Allison Bradford

Libby Gerard

Erika Tate

Rui Li

Marcia C Linn

2023/11

Design principles for educational software

Yael Kali

Nathan Bos

Marcia Linn

Jody Underwood

Jim Hewitt

2023/1/13

Designing virtual chemistry visualizations featuring environmental dilemmas to promote equitable knowledge integration

Dermot Donnelly-Hermosillo

Libby Gerard

Marcia C Linn

2023/7/12

Adaptive dialog to support student understanding of climate change mechanism and who is most impacted

Proceedings of the 17th International Conference of the Learning Sciences-ICLS 2023, pp. 816-823

Allison Bradford

Weiying Li

Brian Riordan

Kenneth Steimel

Marcia C Linn

2023

Let's talk evidence–The case for combining inquiry-based and direct instruction

Ton de Jong

Ard W Lazonder

Clark A Chinn

Frank Fischer

Janice Gobert

...

2023/5/9

How do middle school students think about climate change?

Sarah Bichler

Allison Bradford

Brian Riordan

Marcia C Linn

2022

Cultivating teacher efficacy for social justice in science

Science Scope

Libby Gerard

Allison Bradford

Angela Debarger

Korah Wiley

Marcia C Linn

2022/5/1

Measuring integrated understanding of undergraduate chemistry research experiences: Assessing oral and written research artifacts

Chemistry Education Research and Practice

Max R Helix

Laleh E Coté

Christiane N Stachl

Marcia C Linn

Elisa M Stone

...

2022

Self-directed science learning during COVID-19 and beyond

Journal of science education and technology

Libby Gerard

Korah Wiley

Angela Haydel Debarger

Sarah Bichler

Allison Bradford

...

2022/4

Computer-based guidance to support students’ revision of their science explanations

Computers & Education

Libby Gerard

Marcia C Linn

UC Berkeley

2022/1/1

Designing an Adaptive Dialogue to Promote Science Understanding

Libby Gerard

Sarah Bichler

Allison Bradford

Marcia C Linn

Kenneth Steimel

...

2022

Computational thinking in middle school science

Proceedings of the 16th International Conference of the Learning Sciences-ICLS 2022, pp. 839-846

Allison Bradford

Libby Gerard

Jonathan Lim-Breitbart

Jadda Miller

Marcia Linn

2022

Supporting teachers to customize curriculum for self-directed learning

Journal of Science Education and Technology

Libby Gerard

Allison Bradford

Marcia C Linn

2022/10

See List of Professors in Marcia Linn University(University of California, Berkeley)

Co-Authors

H-index: 103
Janet S. Hyde

Janet S. Hyde

University of Wisconsin-Madison

H-index: 78
Anne Petersen

Anne Petersen

University of Michigan

H-index: 71
Ton de Jong

Ton de Jong

Universiteit Twente

H-index: 51
Elizabeth A Davis

Elizabeth A Davis

University of Michigan

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