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Record W2045232351 · doi:10.3163/1536-5050.100.4.017

The use of anonymous pop-quizzes (APQs) as a tool to reinforce learning

2012· article· en· W2045232351 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueJournal of the Medical Library Association JMLA · 2012
Typearticle
Languageen
FieldSocial Sciences
TopicInnovations in Educational Methods
Canadian institutionsUniversity of Saskatchewan
Fundersnot available
KeywordsAttendanceClass (philosophy)Session (web analytics)Mathematics educationPsychologyTest (biology)MultimediaMedical educationComputer scienceMedicineWorld Wide Web

Abstract

fetched live from OpenAlex

This paper reports on the use of anonymous pop quizzes (APQs) during stand-alone and multi-session library instruction sessions. APQs were used at the end of a class as a tool to test how well students have understood the material presented to them, to reinforce retention of important points, to increase student engagement through an interactive task, and to assist the instructor in planning and preparing future classes. Pop quizzes are frequently used in the classroom. They are popular with students as they often allow for bonus points [1, 2] and popular with teachers as they encourage student attendance and pre-class preparation [3]. Padilla-Walker has shown that students who performed well on daily extra-credit quizzes did better on final exams [2], while Nevid found that “mastery” quizzes—pop-quizzes given at the beginning and end of a class lecture to indicate key lecture concepts—led to a marked improvement by undergraduate psychology students in terms of retention of key concepts [4]. The research on announced versus unannounced quizzes is contradictory: Some studies indicate students performed better on unannounced quizzes (i.e., pop quizzes) as they encourage attendance in class and the review of materials prior to coming to class [5, 6], while other work found announced quizzes led to improved exam performance and final grades for undergraduate medical students [7]. The few examples of anonymous quizzes in the literature (called ConcepTests or interactive anonymous quizzes) were used in the late-1990s in physics and chemistry classes [8–,10]. However, these examples—which tended to be highly structured, focus on a single question, and involve a great deal of in-class discussion amongst students—are quite different in format from the APQs as used in this study at the University of Saskatchewan. While the literature is scarce on the use of APQs in instruction, overall, the use of pop quizzes in the classroom setting has been shown to identify problem areas that need additional reinforcement [6], encourage class attendance and pre-class preparation [11], and allow students to preview sample test questions [11, 12]. It was with these potential benefits in mind that the use of APQs was implemented in library instruction in a health sciences library.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.008
metaresearch head score (Gemma)0.072
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.595
Threshold uncertainty score0.936

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.072
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.002
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.037
GPT teacher head0.362
Teacher spread0.325 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it