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Record W2893544722 · doi:10.5539/ass.v14n10p31

Malay Epic and Historiography Literature Students’ Perception Towards Interface Design Elements

2018· article· en· W2893544722 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.

venuePublished in a venue whose home country is Canada.
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

VenueAsian Social Science · 2018
Typearticle
Languageen
FieldComputer Science
TopicInformation Retrieval and Data Mining
Canadian institutionsnot available
Fundersnot available
KeywordsInterface (matter)MalayInterface designComputer scienceUser experience designPerceptionUser interfaceEPICHuman–computer interactionFocus (optics)Psychology

Abstract

fetched live from OpenAlex

The interface is an important element in delivering information. This is because the interface becomes an early attraction to the user's perception before going to the next level. A good interface design will emphasize easy and user-friendly elements. Unfriendly interface design may impact the activity provided. This study aims to identify, parse and analyze user ratings on interface design. The respondents of the study involved 87 BBK 3311 Malay Epic and Historiography Literature at Universiti Putra Malaysia. The emphasis of this study will focus on nine interface design elements. The quantitative approach is used to carry out this study. A questionnaire instrument specifically designed to assess respondents' assessment of the interface design. This survey is available online using the Survey Monkey website and analyzed based on the Technology Acceptance Model (TAM) approach. This is because this approach is specifically designed to analyze the acceptance of the technology. The results of the study showed the level of tendency of students to be interested in the interface design. The results of the study can also help in giving an overview to the online course builder on the interface design that affects students' interest. Furthermore, it is hoped that the results of this study will be a guideline in building interface designs in the website.

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)0.001
metaresearch head score (Gemma)0.000
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: Empirical · Consensus signal: none
Teacher disagreement score0.925
Threshold uncertainty score0.826

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.002
Science and technology studies0.0010.000
Scholarly communication0.0010.002
Open science0.0010.000
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 head0.017
GPT teacher head0.299
Teacher spread0.282 · 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