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Record W4322584018 · doi:10.2196/41626

Students’ Perception of Formative Assessment as an Instructional Tool in Competency-Based Medical Education: Proposal for a Proof-of-Concept Study

2023· article· en· W4322584018 on OpenAlexvenueno aff
Farah Otaki, Mandana Gholami, Iman Fawad, Anjum Akbar, Yajnavalka Banerjee

Bibliographic record

VenueJMIR Research Protocols · 2023
Typearticle
Languageen
FieldMedicine
TopicInnovations in Medical Education
Canadian institutionsnot available
Fundersnot available
KeywordsFormative assessmentSummative assessmentMedical educationBachelorFocus groupComputer scienceQualitative propertySession (web analytics)ConceptualizationPsychologyMathematics educationMedicine

Abstract

fetched live from OpenAlex

BACKGROUND: In competency-based medical education (CBME), "Assessment for learning" or "Formative Assessment" (FA) plays a key role in augmenting student learning. FAs help students to measure their progress over time, enabling them to proactively improve their performance in summative assessments. FAs also encourage students to learn in a way where they address their knowledge gaps and gaps in their conceptualization of the subject matter. The effectiveness of an FA, as a learning and development instrument, relies on the degree of student involvement in the corresponding educational intervention's design and implementation. The extent of students' engagement in FA can be evaluated by appraising their perception regarding the educational intervention itself. OBJECTIVE: This proof-of-concept study aims to develop a systemic understanding of a Formative Assessment as an Instructional Tool (FAIS) implemented in a biochemistry course in the Basic Medical Sciences component of an undergraduate entry, CBME. METHODS: The educational intervention in question is an FAIS, which is implemented in a biochemistry course in the first semester of a 6-year bachelor of medicine, bachelor of surgery program. When developing the FAIS, each area of knowledge, skills, and attitudes were considered. Assessment formats are developed per Miller's learning pyramid. This multiphase study is meant to rely on a convergent mixed methods design, where qualitative and quantitative data are independently collected and analyzed. Thereafter, the outputs of analyses are systematically merged using joint display analysis process. Qualitative data are collected through a focus group session that captures the students' perception toward the FAIS. Data collection, integral to this focus group session, is exploratory. The inductive qualitative data analysis follows Braun and Clarke's 6-step framework. The quantitative component of this study revolves around investigating the effect of the FAIS on the course's summative assessment. The summative assessment performance of the 71 students, enrolled in the FAIS cohort, will be compared to that of the students in the non-FAIS cohort. The total duration of the proposed multiphase research study is 6 months. RESULTS: This proposed multiphase study is expected to showcase, from a systemic perspective, the effectiveness of the respective educational intervention. It will shed light on the participating students' attitudes in relation to the usefulness of FA in achieving competency goals and in fostering self-directed learning. The proposed study could also uncover the hypothesized association between the FA intervention and enhanced performance in summative assessments. CONCLUSIONS: Our findings will generate evidence regarding the application of FAs, which can be leveraged by other medical educators in contexts similar to those under investigation. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): DERR1-10.2196/41626.

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.

How this classification was reachedexpand

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)0.005
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Protocol · Consensus signal: none
Teacher disagreement score0.537
Threshold uncertainty score0.980

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0050.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.139
GPT teacher head0.613
Teacher spread0.474 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreProtocol

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations18
Published2023
Admission routes1
Has abstractyes

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