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Record W3109161597 · doi:10.34293/education.v9i1.3393

The Design and Implementation of an Educational Augmented Reality Application for Logical Circuit Design

2020· article· en· W3109161597 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

VenueShanlax International Journal of Education · 2020
Typearticle
Languageen
FieldComputer Science
TopicAugmented Reality Applications
Canadian institutionsnot available
FundersAtatürk Üniversitesi
KeywordsAugmented realityClass (philosophy)CurriculumProcess (computing)Mathematics educationSignificant differenceComputer sciencePsychologyEngineeringPedagogyMathematicsHuman–computer interactionArtificial intelligence

Abstract

fetched live from OpenAlex

The purpose of the study is to determine the effect of augmented reality applications on the learning of engineering students in their professional courses. The objective of the study is to ensure that augmented reality technologies, which are among the most important technologies of today, are used in educational settings. The other important objective of the study is to ensure that the augmented reality technologies used in professional training in countries such as the USA, Canada and the Netherlands are also used in our country and to provide a world-class education opportunity. Also, contributing to the economy of our country with the successful studies to be carried out in this regard is among the objectives of the study because of the increasing interest in augmented reality software throughout the world and the formation of an important economy related to the development of these kinds of software.In the study, an augmented reality application developed by the researcher was used in the learning process of a subject included in the faculty of engineering education curriculum. The study was performed using a convergent parallel mixed-methods design in which both qualitative and quantitative data were used simultaneously. The result of the study showed that there were no significant difference between the average attitude towards AR applications of the students participating in the study and the gender, class, and father education level; however, it is seen that there was a significant difference between maternal education status. It was also determined that the difference between the students’ average attitude towards AR applications before and after the study was significant.Similarly, it was observed that the difference between the AR attitude averages before and after the study and the AG attitude average 4 weeks after the study was also observed to be significant. It was also found that the students who participated in the study found the AR applications remarkable, entertaining, understandable and useful for the instructor. Moreover, they stated that using AR applications in lessons would contribute to fast and active learning and increase success.

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: Theoretical or conceptual · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.918
Threshold uncertainty score0.378

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.082
GPT teacher head0.389
Teacher spread0.307 · 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