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Record W2580126182 · doi:10.5430/ijhe.v8n3p47

Educational Game “Mengenal Indonesia” as a Medium to Introduce Indonesia to the Kids

2019· article· en· W2580126182 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

VenueInternational Journal of Higher Education · 2019
Typearticle
Languageen
FieldComputer Science
TopicEducational Methods and Media Use
Canadian institutionsnot available
Fundersnot available
KeywordsComputer scienceEducational gameGame designAndroid (operating system)ADDIE ModelGame DeveloperMultimediaVideo game developmentGame design documentGame art designPedagogySociologyCurriculum

Abstract

fetched live from OpenAlex

Educational game is a game especially for the kid, that contains educational materials designed in an interactive game that aims to improve intelligence as well as providing knowledge to the users. The opportunity to make android-based education game is open wide, especially the game that exploit local content. In this research, we will develop the education game that has the main goal to introduce Indonesia to the learners. Games that will be built is android-based game that explore the knowledge or specific fact about certain region or provinces in Indonesia, so it will called as “Mengenal Indonesia”. This game is expected can act as a learning medium to introduce about Indonesia to the student, in interesting way. The game also be equipped with quiz about specific fact on the region that selected by the player. The game is built through ADDIE model as an approach. ADDIE (Analysis, Design, Development, Implementation, and Evaluation) is an approach that common use in design a learning content. The tools that used to build the game is FlashDevelop and using ActionScript 3.0 as programming language. After the game built, we conduct the survey to test the respond of the user. The result show that most of the user feel “Mengenal Indonesia” can help them improving knowledge about Indonesia. Therefore, it is necessary to build the game that has the content the knowledge about Indonesia. This paper will discuss the approach, design and making of educational game that contains information about Indonesia area. This content is selected because currently there is no educational game with a similar content available in the market and this content can be act as additional resource on the Social Sciences subject at elementary school level. The game, we call as “Mengenal Indonesia”, previous name is “know your country”, focusing to introduce some unique aspect about specific region in Indonesia. The source of knowledge we take from the book “RIPUT” (Ringkasan Pengetahuan Umum), that contains common knowledge about Indonesia, such as the longest river, the highest mountain, the fact about certain place in Indonesia, and many more. The game was built using ADDIE approach, that consist 5 steps: analysis, design, deployment, implementation, and evaluation. The game was built using FlashDevelop and ActionScript 3.0 as language script.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.500
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.001
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.001

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 head0.013
GPT teacher head0.344
Teacher spread0.331 · 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