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 |
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| 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 |
| 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. |
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| ISSN: | 2330-8516 |
