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Record W2810184274 · doi:10.1039/c8rp00095f

Postsecondary chemistry curricula and universal design for learning: planning for variations in learners’ abilities, needs, and interests

2018· article· en· W2810184274 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.

Bibliographic record

VenueChemistry Education Research and Practice · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicDisability Education and Employment
Canadian institutionsPolicyWise for Children & Families
FundersDivision of Undergraduate EducationNational Science Foundation
KeywordsCurriculumLegislationMathematics educationRepresentation (politics)Variation (astronomy)Curriculum developmentUniversal Design for LearningChemistryComputer sciencePedagogyEngineering ethicsPsychologyEngineeringPolitical science

Abstract

fetched live from OpenAlex

Federal legislation requires equitable access to education for all students at all levels, including in the postsecondary setting. While there have been a few studies in the chemistry education research literature base focused on how to support students with specific disabilities, this work seems to exist as a separate stream of research without direct impact on curriculum development and the overall community. This study focused on investigating how well three sets of general chemistry curricular materials support variations in students’ abilities, interests, and needs. To accomplish this, we compared the curricular materials with the Universal Design for Learning (UDL) framework, which describes steps to account for variations in ability among learners during curriculum development. The UDL framework is organized into three guidelines (multiple means of representation, action and expression, and engagement), further delineated by nine principles and thirty-one finer-grained checkpoints for designing courses. We looked for examples of enactment of the UDL checkpoints in a representative sample of activities. Across all three sets of curricular materials, only four of the thirty-one checkpoints were enacted in at least 75% of the activities, indicating high enactment. On the other hand, eleven of the checkpoints were enacted in less than 25% of the activities, indicating low enactment. Overall, there is much room for improvement in consistently providing support for learner variation within these general chemistry curricular materials. We argue that some of the burden of making curricular materials supportive of all students lies with curriculum developers and provide recommendations for improving support and accessibility.

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)0.003
metaresearch head score (Gemma)0.012
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMetaresearch
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.368
Threshold uncertainty score0.996

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.012
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.138
GPT teacher head0.477
Teacher spread0.339 · 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