Algotaurus: an educational computer programming game for beginners

Krajcsi, Attila; Csapodi, Csaba; Stettner, Eleonóra

doi:10.1080/10494820.2019.1593862

Cited by 8 publications

(3 citation statements)

References 21 publications

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“…in Isbister, 2016, p. 115). Interacting with objects in a bedroom can be found in other games and visual novels, such as indie titles missed messages and One Night Stand (He, 2019;Kinmoku, 2016). Overall, perusing belongings can quickly foster a sense of knowing someone.…”

Section: Intimacy and Consentmentioning

confidence: 99%

Thoughtful Snooping: Agency, Affect and the Walking Simulator

MacKeil

2024

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<p>In the past decade, “walking simulator” has evolved from an insult to a critically and commercially successful genre of games. Through subversive mechanics and an emphasis on immersive, affective storytelling, these games are well-situated to explore LGBTQ+ narratives and queer forms of play (Ruberg, 2019). This paper unpacks the affective implications of games that urge the player to “snoop around” personal spaces, including Gone Home (Fullbright, 2013), What Remains of Edith Finch (Giant Sparrow, 2017), and A Normal Lost Phone (Accidental Queens, 2017). After a broad overview of the genre and relevant scholarship, the author examines the emotional impact of ludic “snooping”. Specifically, the author considers how games centring this mechanic simulate intimacy (while problematizing consent), engage agency through interaction and movement, and harness a disorienting atmosphere in their storytelling. Finally, the paper reflects on how character identification can be understood in the context of “games for change”, so-called empathy games, and the need to move towards a more thoughtful engagement with queer affect. This paper touches on each of these issues with a broad, interdisciplinary approach rooted in rhetoric, close reading, and queer theory.</p>

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Section: Intimacy and Consentmentioning

confidence: 99%

Thoughtful Snooping: Agency, Affect and the Walking Simulator

MacKeil

2024

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“…In the context of programming instruction, gamification platforms are designed in various ways (Kafai & Burke, 2016). For instance, Scratch uses a block-based environment (Topalli & Cagiltay, 2018), Algotaurus uses a mini-language microworld programming environment (Krajcsi et al, 2021), Programmer Adventure Land uses an adventure-based programming environment (Chang et al, 2020), and many other computer programs designed to promote gamification provide various learning environment features.…”

Section: Introductionmentioning

confidence: 99%

Examining the Effect of the Task-Technology Fit of Game Mechanisms on Learning Outcomes in Online Gamification Platforms

Wang

Sari

2023

Journal of Educational Computing Research

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The designs of gamification platforms are diverse and constantly evolving. Excessive use of various game mechanisms in learning platforms can distract from the learning process. However, the fit of game mechanisms is still uncertain. Thus, this study investigates the effect of achieving fit when implementing game mechanisms on learning outcomes by applying the well-known task-technology fit theory (TTF). TTF is frequently employed to improve fit between tasks to be completed and the technology applied. The findings indicate that achieving gamification fit can reduce the cognitive load of students and result in enhanced learning performance in terms of learning outcomes. Data collected from 266 participants were analyzed using the technique of the partial least squares to validate the developed research model. The findings of this study can aid educators and educational technology designers in identifying the design mechanisms and characteristics that can be used to ensure design fit on gamification platforms.

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“…Games have been considered to be entertaining and engaging [34]. Teaching concepts through games could help learners perceive learning as fun without overwhelming them with inner details of the concept [7,16]. We believe that ML concepts can also be introduced via a game without going through the lower level of implementation details.…”

Section: Introductionmentioning

confidence: 99%

ML-Quest: A Game for Introducing Machine Learning Concepts to K-12 Students

Priya¹,

Bhadra²,

Chimalakonda³

2021

Preprint

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Today, Machine Learning (ML) is of a great importance to society due to the availability of huge data and high computational resources.This ultimately led to the introduction of ML concepts at multiple levels of education including K-12 students to promote computational thinking. However, teaching these concepts to K-12 through traditional methodologies such as video lectures and books is challenging.Many studies in the literature have reported that using interactive environments such as games to teach computational thinking and programming improves retention capacity and motivation among students. Therefore, introducing ML concepts using a game might enhance students' understanding of the subject and motivate them to learn further. However, we are not aware of any existing game which explicitly focuses on introducing ML concepts to students using game play. Hence, in this paper, we propose ML-Quest, a 3D video game to provide conceptual overview of three ML concepts: Supervised Learning, Gradient Descent and K-Nearest Neighbor (KNN)Classification. The crux of the game is to introduce the definition and working of these concepts, which we call conceptual overview, in a simulated scenario without overwhelming students with the intricacies of ML. The game has been predominantly evaluated for its usefulness and player experience using the Technology Acceptance Model (TAM) model with the help of 23 higher-secondary school students. The survey result shows that around 70% of the participants either agree or strongly agree that the ML-Quest is quite interactive and useful in introducing them to ML concepts.CCS Concepts: • Human-centered computing → Game for Learning.

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Algotaurus: an educational computer programming game for beginners

Cited by 8 publications

References 21 publications

Thoughtful Snooping: Agency, Affect and the Walking Simulator

Thoughtful Snooping: Agency, Affect and the Walking Simulator

Examining the Effect of the Task-Technology Fit of Game Mechanisms on Learning Outcomes in Online Gamification Platforms

ML-Quest: A Game for Introducing Machine Learning Concepts to K-12 Students

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