Evidence map›Paper›PMID 38322049›Full record

ArticleJournal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience2022

Student Evaluation of a Learning Community Model Adapted to Student and Curriculum Needs.

Heather J Yu, Cheryl Mulligan, Emily E Hartford, John G McCoy, Nicole E Cyr

Abstract read
In one paragraph

Article in Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. The New and Even Better Normal.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2022
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Heather J YuNeuroscience Program, Stonehill College, North Easton, MA 02357.
Cheryl MulliganNorton Middle School, Norton, MA 02766.
Emily E HartfordNeuroscience Program, Stonehill College, North Easton, MA 02357.
John G McCoyNeuroscience Program, Stonehill College, North Easton, MA 02357.
Nicole E CyrNeuroscience Program, Stonehill College, North Easton, MA 02357.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Neuroscience Learning Community (LC) that Stonehill introduced to its curriculum grew out of the Great Recession of 2008 and the need for our students to gain hands-on, high-impact learning experiences, despite limited resources. This learning model was first reported in 2013, and since then it has undergone changes that were necessary due to the number of credits and amount of time required for that model. Curriculum changes are common, and Stonehill College changed its credit requirements for LCs to meet students' needs. As a result, the new Neuroscience LC model that we describe here reduced credit hours while leveraging new faculty expertise, collaborations, and new community partnerships. This paper reports student evaluations of an LC model adapted to demand fewer credits and less time, but to retain the community-based learning aspect and to increase faculty collaboration, while maintaining a high standard of learning fundamental neuroscience topics. Evaluations suggest that students valued the updated Neuroscience LC because it helped them understand neuroscience concepts and the impact of neuroscience in our world.

Indexed as

educational neuroscienceexperiential learninglearning community (LC)undergraduate neuroscience

Identifiers

PMID38322049
PMCPMC10558233

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.