ArticleCBE life sciences education2018
How to Identify the Research Abilities That Instructors Anticipate Students Will Develop in a Biochemistry Course-Based Undergraduate Research Experience (CURE).
Article in CBE life sciences education, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
6 citing papers in PubMed, 36 citations in OpenAlex.
- A CURE on the Evolution of Antibiotic Resistance inCBE life sciences education · 2023Article
- A Call to Assess the Impacts of Course-Based Undergraduate Research Experiences for Career and Technical Education, Allied Health, and Underrepresented Students at Community Colleges.CBE life sciences education · 2023Article
- A Course-Based Undergraduate Research Experience Improves Outcomes in Mentored Research.CBE life sciences education · 2022Article
- Developing and applying computational resources for biochemistry education.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular Biology · 2020Article
- Fear of the CURE: A Beginner's Guide to Overcoming Barriers in Creating a Course-Based Undergraduate Research Experience.Journal of microbiology & biology education · 2020Article
- Implementation and Evaluation of a Biochemistry Research Skills CURE for First-Year R1 University Students.Biochemistry and molecular biology education : a bimonthly publication of the International Union of Biochemistry and Molecular BiologyArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Course-based undergraduate research experiences (CUREs) have been described in a range of educational contexts. Although various anticipated learning outcomes (ALOs) have been proposed, processes for identifying them may not be rigorous or well documented, which can lead to inappropriate assessment and speculation about what students actually learn from CUREs. In this essay, we offer a user-friendly and rigorous approach based on evidence and an easy process to identify ALOs, namely, a five-step Process for Identifying Course-Based Undergraduate Research Abilities (PICURA), consisting of a content analysis, an open-ended survey, an interview, an alignment check, and a two-tiered Likert survey. The development of PICURA was guided by four criteria: 1) the process is iterative, 2) the overall process gives more insight than individual data sources, 3) the steps of the process allow for consensus across the data sources, and 4) the process allows for prioritization of the identified abilities. To address these criteria, we collected data from 10 participants in a multi-institutional biochemistry CURE. In this essay, we use two selected research abilities to illustrate how PICURA was used to identify and prioritize such abilities. PICURA could be applied to other CUREs in other contexts.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.