Notice bibliographique
Résumé
Avokiddo. ABC Ride. Vers. 1.3.5. Apple App Store, https://itunes.apple.com/ca/app/avokiddo-abc-ride/id827657068?mt=8 Suggested age range: 3-6Cost: $3.99 The alphabet is a crucial building block for reading and writing so it is important to have a variety of tools for teaching it. ABC Ride can be one such tool as it turns learning about the alphabet into an exciting adventure. The game follows Avokiddo’s brother and sister duo, Beck and Bo, on a bike ride. Along the way, they come across puzzles which they must solve to unearth a particular letter. Instructions are delivered in creative alliteration such as “tie the tire to the tree”, which helps the child hear the sound the letter makes. After completing the puzzle, cheerful music plays to indicate success and the letter appears. To continue biking along, the player then must spell a word starting with that letter by dragging and dropping the letters into their correct spot. There is lots of repetition to deepen understanding as each letter is announced when picked up, and the final word is spelled out when completed. Again, the game uses sound very well to indicate success as there is plenty of encouraging cheering and music once the word is spelled. The game is extremely original in its non-traditional choice of words to be associated with each letter. It will have children and adults alike giggling with its silly puzzles such as scrubbing a dirty pig for P, blow drying an igloo for I, and jumping on jelly for J. The non-lingual interface is very intuitive which allows for even the youngest player to navigate it confidently. However, some challenges are a little hard to understand, which could be frustrating as you must complete each challenge before moving onto the next. For example, building the robot requires very precise placement of the pieces. Thankfully, after a short time, obvious hints are given such as the correct area shaking enticingly. This ensures that the player does not get stuck and give up on the game. In addition to the strategic use of sound, the graphics are stunning. The images are made of a patchwork of different textures such as cardboard and fabric, which is Avokiddo’s trademark style. One of the app’s greatest strengths is its customizability. For example, you can choose to turn off the spelling for younger players, or you can turn off the puzzle instructions for the added challenge of solving it independently. You can also choose to work on upper case or small case letters, and make the sound of each letter be announced rather than the letter when spelling. You can also decide if puzzles follow the order of the alphabet or arrive in random order. Overall, this app is a very good supplement for any young learner just starting out or well on their way to mastering the alphabet and simple spelling. Its inventive letter puzzles, well-used sound, superb graphics, and customizability make it a good choice for any school, library, or home. Rating: 3 out of 4 stars, recommendedReviewer: Kyla LeeKyla Lee is a first year student in the Library and Information Studies program at the University of Alberta, and a Library Assistant at EPL. She is very interested in helping youth develop digital literacy skills from a young age, and incorporating creative apps into programming.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,000 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,005 | 0,004 |
| Science ouverte | 0,001 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,778 | 0,703 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».