Evidence map›Paper›PMID 34970386›Full record

ArticleJournal of microbiology & biology education2021

There Is More than Multiple Choice: Crowd-Sourced Assessment Tips for Online, Hybrid, and Face-to-Face Environments.

Jennifer C Drew, Neal Grandgenett, Elizabeth A Dinsdale, Luis E Vázquez Quiñones, Sebastian Galindo, William R Morgan, Mark Pauley, Anne Rosenwald, Eric W Triplett, William Tapprich and 1 more

Abstract read
In one paragraph

Article in Journal of microbiology & biology education, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Jennifer C DrewDepartment of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, Florida, USA.
Neal GrandgenettDepartment of Teacher Education, University of Nebraska at Omaha, Omaha, Nebraska, USA.
Elizabeth A DinsdaleCollege of Science and Engineering, Flinders University, Bedford Park, South Australia, Australia.
Luis E Vázquez QuiñonesDivision of Science and Technology, Universidad Ana G. Méndez-Cupey Campus, San Juan, Puerto Rico.
Sebastian GalindoDepartment of Agricultural Education and Communication, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, Florida, USA.
William R MorganDepartment of Biology, College of Wooster, Wooster, Ohio, USA.ORCID https://orcid.org/0000-0001-7995-8067
Mark PauleyDivision of Undergraduate Education, National Science Foundation, Alexandria, Virginia, USA.
Anne RosenwaldDepartment of Biology, Georgetown University, Washington, DC, USA.ORCID https://orcid.org/0000-0002-0144-8515
Eric W TriplettDepartment of Microbiology and Cell Science, Institute of Food and Agricultural Sciences, University of Florida, Gainesville, Florida, USA.
William TapprichDepartment of Biology, University of Nebraska at Omaha, Omaha, Nebraska, USA.
Adam J KleinschmitDepartment of Natural and Applied Sciences, University of Dubuque, Dubuque, Iowa, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Developing effective assessments of student learning is a challenging task for faculty and even more difficult for those in emerging disciplines that lack readily available resources and standards. With the power of technology-enhanced education and accessible digital learning platforms, instructors are also looking for assessments that work in an online format. This article will be useful for all teachers, but especially for entry-level instructors, in addition to more mature instructors who are looking to become more well versed in assessment, who seek a succinct summary of assessment types to springboard the integration of new forms of assessment of student learning into their courses. In this paper, ten assessment types, all appropriate for face-to-face, blended, and online modalities, are discussed. The assessments are mapped to a set of bioinformatics core competencies with examples of how they have been used to assess student learning. Although bioinformatics is used as the focus of the assessment types, the question types are relevant to many disciplines.

Indexed as

assessmentbioinformaticsBloom’s taxonomydistance learningNetwork for the Integration of Bioinformatics in the Life Sciences (NIBLSE)onlinereliabilityundergraduate biology educationvalidity

Identifiers

PMID34970386
PMCPMC8673258

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.