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An Exploratory Approach to Predicting Performance in an Online Electronics Collaborative Problem-Solving Task. Research Report. ETS RR-24-10

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Title: An Exploratory Approach to Predicting Performance in an Online Electronics Collaborative Problem-Solving Task. Research Report. ETS RR-24-10
Language: English
Authors: Jonathan Steinberg, Carol Forsyth, Jessica Andrews-Todd
Source: ETS Research Report Series. Dec 2024.
Availability: ETS. Rosedale Road, Mailstop 19R, Princeton, NJ 08541. Tel: 609-921-9000; Fax: 609-734-5410; e-mail: RDweb@ets.org; Web site: https://www.ets.org/
Peer Reviewed: Y
Page Count: 14
Publication Date: 2024
Sponsoring Agency: National Science Foundation (NSF), Division of Undergraduate Education (DUE)
Contract Number: 1535224
Document Type: Journal Articles
Reports - Research
Education Level: Postsecondary Education
Higher Education
Descriptors: Problem Solving, Predictor Variables, Performance, Task Analysis, Postsecondary Education, College Students, Engineering Education, Cooperative Learning, Electronics, Skill Development
ISSN: 2330-8516
Abstract: In a study of 370 postsecondary students in electronics, engineering, and other science classes, we investigated collaborative problem-solving (CPS) skills that best predict performance at individual levels in an online electronics environment. The results showed that while monitoring was a consistent predictor across levels, other skills such as executing, sharing information, planning, and maintaining communication each predicted individual performance at one or more levels of the task. The availability of background data on students' content classes and associated content knowledge to analyze the model results can help identify possible cues for instructors across domains to help students improve specific CPS skills to achieve high performance in activities conducted in collaborative learning environments.
Abstractor: As Provided
Entry Date: 2025
Accession Number: EJ1459540
Database: ERIC
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  Data: In a study of 370 postsecondary students in electronics, engineering, and other science classes, we investigated collaborative problem-solving (CPS) skills that best predict performance at individual levels in an online electronics environment. The results showed that while monitoring was a consistent predictor across levels, other skills such as executing, sharing information, planning, and maintaining communication each predicted individual performance at one or more levels of the task. The availability of background data on students' content classes and associated content knowledge to analyze the model results can help identify possible cues for instructors across domains to help students improve specific CPS skills to achieve high performance in activities conducted in collaborative learning environments.
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      – SubjectFull: Problem Solving
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      – SubjectFull: Predictor Variables
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      – SubjectFull: Performance
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      – SubjectFull: Task Analysis
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      – TitleFull: An Exploratory Approach to Predicting Performance in an Online Electronics Collaborative Problem-Solving Task. Research Report. ETS RR-24-10
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