Evidence map›Paper›PMID 35915654›Full record

ArticleInternational journal of STEM education2022

Predicting implementation of active learning by tenure-track teaching faculty using robust cluster analysis.

Kameryn Denaro, Petra Kranzfelder, Melinda T Owens, Brian Sato, Austin L Zuckerman, Rebecca A Hardesty, Adriana Signorini, Andrea Aebersold, Mayank Verma, Stanley M Lo

Abstract read
In one paragraph

Article in International journal of STEM education, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

10 authors.

Kameryn DenaroDivision of Teaching Excellence and Innovation, University of California Irvine, 653 E Peltason Drive, Irvine, CA 92697 USA.ORCID 0000-0001-9175-1640
Petra KranzfelderMolecular and Cellular Biology, University of California Merced, 5200 North Lake Road, Merced, CA 95343 USA.
Melinda T OwensSection of Neurobiology, Division of Biological Sciences, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA.
Brian SatoDivision of Teaching Excellence and Innovation, University of California Irvine, 653 E Peltason Drive, Irvine, CA 92697 USA.
Austin L Zuckerman *Section of Neurobiology, Division of Biological Sciences, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA.
Rebecca A Hardesty *Division of Biological Sciences, University of California San Diego, 9500 Gilman Drive, La Jolla, CA 92093 USA.
Adriana Signorini *Students Assessing Teaching and Learning (SATAL) Program, Center for Engaged Teaching and Learning, University of California Merced, 5200 North Lake Road, Merced, CA 95343 USA.
Andrea Aebersold *Division of Teaching Excellence and Innovation, University of California Irvine, 653 E Peltason Drive, Irvine, CA 92697 USA.
Mayank Verma *Molecular and Cellular Biology, University of California Merced, 5200 North Lake Road, Merced, CA 95343 USA.
Stanley M LoMolecular and Cellular Biology, University of California Merced, 5200 North Lake Road, Merced, CA 95343 USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The University of California system has a novel tenure-track education-focused faculty position called Lecturer with Security of Employment (working titles: Teaching Professor or Professor of Teaching). We focus on the potential difference in implementation of active-learning strategies by faculty type, including tenure-track education-focused faculty, tenure-track research-focused faculty, and non-tenure-track lecturers. In addition, we consider other instructor characteristics (faculty rank, years of teaching, and gender) and classroom characteristics (campus, discipline, and class size). We use a robust clustering algorithm to determine the number of clusters, identify instructors using active learning, and to understand the instructor and classroom characteristics in relation to the adoption of active-learning strategies. Results: We observed 125 science, technology, engineering, and mathematics (STEM) undergraduate courses at three University of California campuses using the Classroom Observation Protocol for Undergraduate STEM to examine active-learning strategies implemented in the classroom. Tenure-track education-focused faculty are more likely to teach with active-learning strategies compared to tenure-track research-focused faculty. Instructor and classroom characteristics that are also related to active learning include campus, discipline, and class size. The campus with initiatives and programs to support undergraduate STEM education is more likely to have instructors who adopt active-learning strategies. There is no difference in instructors in the Biological Sciences, Engineering, or Information and Computer Sciences disciplines who teach actively. However, instructors in the Physical Sciences are less likely to teach actively. Smaller class sizes also tend to have instructors who teach more actively. Conclusions: The novel tenure-track education-focused faculty position within the University of California system represents a formal structure that results in higher adoption of active-learning strategies in undergraduate STEM education. Campus context and evolving expectations of the position (faculty rank) contribute to the symbols related to learning and teaching that correlate with differential implementation of active learning. Supplementary Information: The online version contains supplementary material available at 10.1186/s40594-022-00365-9.

Indexed as

Active learningCOPUSEnsemble methodsHigher educationLecturer with security of employmentProfessor of TeachingRobust clusteringSTEMTeaching focused facultyTeaching Professor

Identifiers

PMID35915654
PMCPMC9334417

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.