ArticleJournal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience2019
Student-led Recaps and Retrieval Practice: A Simple Classroom Activity Emphasizing Effective Learning Strategies.
Article in Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Use of Buzz Buttons to Illustrate Taste Perception Principles in a Sensation and Perception Laboratory Exercise.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2024Article
- Effective Use of Student-Created Case Studies as Assessment in an Undergraduate Neuroscience Course.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2021Article
- JUNE: Continuing to Advance Neuroscience Education in the New Decade.Journal of undergraduate neuroscience education : JUNE : a publication of FUN, Faculty for Undergraduate Neuroscience · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
It is imperative that college and university faculty members continue to collaborate to develop and assess innovative teaching methods that effectively encourage learning for all undergraduates, particularly in STEM. Here we describe a simple student-led classroom technique, recap and retrieval practice (R&RP), that we, as two instructors at different institutions, collaboratively implemented in three upper-level STEM courses. R&RP sessions are short, student-led reviews of previous course material that feature student voices prominently at the start of every class period. R&RP sessions require a small team of students to prepare and deliver a review of prior course content via active retrieval practice formats, which are well known to be particularly effective learning tools. These R&RP assignments were also designed to emphasize additional evidence-based learning practices (concrete examples, dual coding, elaboration, interleaving, and spaced practice). Our analysis of undergraduate student experiences both in leading and participating in R&RPs indicates that overall R&RP sessions were well-received, active learning strategies that our students indicated fostered their learning. As instructors, we found R&RPs an effective and efficient strategy to encourage class participation, assess class participation, and emphasize student voices in our classrooms. Moreover, we found that collaboratively deploying a learning activity allowed us to observe the impact of a specific pedagogical activity in varied instructional settings and enhanced our professional development as educators.
Indexed as
Identifiers
31983897PMC6973304What 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.