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Record W4237928641 · doi:10.1111/emip.12098

On This Issue's Cover

2015· article· en· W4237928641 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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueEducational Measurement Issues and Practice · 2015
Typearticle
Languageen
FieldSocial Sciences
TopicEducation Practices and Evaluation
Canadian institutionsnot available
Fundersnot available
KeywordsScrollingTest (biology)DepictionSet (abstract data type)PsychologySession (web analytics)Think aloud protocolMultiple choiceComputer scienceApplied psychologyHuman–computer interactionWorld Wide WebArtificial intelligenceVisual artsUsabilityLinguistics

Abstract

fetched live from OpenAlex

This issue's cover features Getting to Responses by Ruth A. Childs and Susan Elgie from the Ontario Institute for Studies in Education. It is one of the two winning submissions to the 2015 EM:IP Cover Graphic/Data Visualization competition. This figure is a graphical depiction of a student's item response times on a computer-based test. Getting to Responses was developed from a study investigating how fifth-grade students deal with uncertainty as they respond to multiple-choice test items. This example shows the progress of one Grade 5 student through a computer-administered 20-item multiple-choice test based on a short video. Five of the 20 items were unanswerable from information in the video: three items were covered in the video, but did not include a correct option and two were not covered at all. Screen capture software was used to track student cursor movements. The study was particularly focused on students’ response behavior for the unanswerable items, which were designed to invoke uncertainty. Following examinees’ completion of the test, they participated with a researcher in a think-aloud session and brief Interview. Childs and Elgie developed the figure to facilitate identification of patterns of correct and incorrect responses for each examinee and comparison among examinees. Using a set of figures, the researchers could identify patterns of nonresponse, item changing and item reviewing behaviors, as well as items on which an examinee took a long time to respond (long horizontal segments) and times when an examinee was scrolling instead of looking at a specific item (slanted segments). The analysis also included excerpts from the think-aloud sessions; using NVivo software, the transcribed texts were aligned with the screen-capture video. Initial findings from these mixed-methods analyses were presented at the 2015 conferences of the American Educational Research Association (Childs, Elgie, Tang, & Ferguson, 2015a) and the Canadian Society for the Study of Education (Childs, Ferguson, Tang, & Elgie, 2015b). The figure can easily be created using standard software. Specifically, this figure was created in Excel from a spreadsheet containing six columns: the cumulative time to each action (responding or scrolling to another item), the number of the items involved in the action, and the action (leaving the item without responding, responding correctly, responding incorrectly, or responding to an unanswerable item). The symbols for each action were overlaid on the chart by using five “Marked Scatter” series based on the first column in combination with each of the other columns. Childs and Elgie's Getting to Responses is a relatively simple yet informative graphic about a student's response time by item. Although the type of graph—a step graph relating item ID to elapsed time—is not unique, the figure's incorporation of different symbols and line segments to tell a story make it original. Indeed, this submission to the EM:IPCover Graphic competition received the highest scores on the Originality criterion. This figure may also strike viewers as unique in its orientation or choice of axes. The axes are switched from how we are probably accustomed to seeing them where item ID is typically plotted on the x axis and elapsed time on the y axis. Perhaps, Childs and Elgie set up the graph as they did because this computer-based test allowed examinees to return to previously presented items. Thus, if elapsed time was on the y axis, the stepwise function would not always be increasing; it would involve “backwards” steps whenever students returned to previous items. However, by putting elapsed time on the x axis, Getting to Responses shows a decreasing trend when students respond to items in the order they are presented. Such a trend seems less natural or counterintuitive when considering elapsed time as a variable, and although this feature adds to the uniqueness of the figure, it may detract from its interpretability. The clear labels for the axis and plotting symbols help Getting to Responses stand alone and tell its own story (another criterion in the competition). But the inclusion of “responses to unanswerable items” may need further explanation and context as we typically strive to exclude unanswerable items from standardized student achievement assessments. Thus, I, at least, was unsure on first viewing the figure what was meant by such item types. In addition, it seems that a large part of the story we may want to tell with a graphic like the one pictured on the cover is how different types of students compare in their responses and response-time trajectories. A more compelling version of this figure may thus show trajectories for two different students, such as a high- and low-performing student, overlaid on the same graph or side by side. What do you think? Please send us your feedback by emailing derek.briggs@colorado.edu.

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)0.025
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch, Insufficient payload (model declined to judge)
Consensus categoriesInsufficient payload (model declined to judge)
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: Not applicable
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.847
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.025
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0070.003

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 head0.281
GPT teacher head0.481
Teacher spread0.200 · 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