Learning Games Research Articles

STRATEGI PEMBELAJARAN PENDIDIKAN AGAMA ISLAM BERBASIS GAMIFIKASI UNTUK MENINGKATKAN MOTIVASI BELAJAR SISWA

Learning activities cannot be separated from the role of the teacher. The teacher's task is to manage learning in the classroom and use various methods to achieve the learning objectives that have been set. This cannot be separated from the learning model/method used. The aim of this research is to describe the supporting, inhibiting and supporting factors for assessing gamification learning models in Islamic religious education regarding the emotional aspects of students at Madrasah Ibtidaiyah Al-kholili, Probolinggo City. This research uses field research with a qualitative approach. The method used is descriptive research. The subjects of this research were curriculum directors, PAI teachers, and student representatives. Data collection techniques use observation, interviews and documentation. Based on the research results, it can be concluded that the evaluation of the gamification learning model of Islamic religious education on the emotional aspects of students at Al-kholili Islamic Middle School, Probolinggo City can increase student interest and motivation. it has been proven that you can. Children respond to learning, how to complete the tasks given, how to pay attention to the material presented, and the availability of several supporting factors, namely Wi-Fi, depending on possibilities, student interest, teacher motivation and available focus. Children need time to adjust due to inhibiting factors in the form of media and time constraints.

A cyber defense system against phishing attacks with deep learning game theory and LSTM-CNN with African vulture optimization algorithm (AVOA)

Phishing attacks pose a significant threat to online security, utilizing fake websites to steal sensitive user information. Deep learning techniques, particularly convolutional neural networks (CNNs), have emerged as promising tools for detecting phishing attacks. However, traditional CNN-based image classification methods face limitations in effectively identifying fake pages. To address this challenge, we propose an image-based coding approach for detecting phishing attacks using a CNN-LSTM hybrid model. This approach combines SMOTE, an enhanced GAN based on the Autoencoder network, and swarm intelligence algorithms to balance the dataset, select informative features, and generate grayscale images. Experiments on three benchmark datasets demonstrate that the proposed method achieves superior accuracy, precision, and sensitivity compared to other techniques, effectively identifying phishing attacks and enhancing online security.

Empowering Learning Through Game Creation: Investigating the Impact of Educational Technology on Learners’ Engagement and Attainment Level in Subject-Based Game Design (Phase I)

Games are an engaging way for learners to acquire and retain information, and they can benefit from creating their own games based on the content they are studying. Although gamification-based learning is well-known for its popularity among learners in the 21st century, minimal research has been conducted on the strategy of engaging learners in student-led learning by having them create their own games for learning. In recent times, there has been an increase in interest among educators in utilising novel teaching methods to improve learners’ involvement and active participation, ultimately fostering a more profound understanding of the subject matter. The latter is in line with Fullan and Langworthy’s (2014) assertion that deep learning is crucial for assessment, not only for the purpose of accountability, but also for determining effective strategies to achieve new educational objectives. The combination of flipped learning and gamification has significant attention as an emerging strategy with the potential to transform traditional pedagogical and/or andragogical approaches. The concept of flipped learning entails reversing the conventional classroom structure, in which learners are exposed to instructional materials outside of class to conduct interviews, collect evidence related to the topic at hand, and then use the in-class time for interactive learning by analysing and comparing the data collected. Alternatively, gamification entails the application of game design elements and principles to non-game-related contexts. This small-scale study investigates the relationship between instructional game design and student creativity. Research demonstrates that learners who create instructional games are more creative. Statistically, learning outcomes may not differ, but users are more motivated to learn and want to continue studying. The study analysed prospective issues and proposed solutions for ensuring the consistency of flip game-based learning that engages and motivates learners across multiple disciplines. The objective is to investigate effective teaching and learning approaches based on an unconventional combination of flipped learning gamification methods with the potential to enhance learners’ learning process through continuous engagement and participation. In the context of Vocational Education and Training, this research aims to enable learners to create their own game concepts based on structured curriculum topics.

Simulation Games as an Alternative Formative Assessment Tool for Experiential Learning in VET Marketing Education: A Desk-Research Review

Simulation games continue to be widely used in marketing education. Based upon a review of simulation tools from the past decade, this study gathers insights on how simulations can be used as an effective assessment tool to enhance learning in marketing and digital marketing vocational subjects. In particular, this research looks more closely at the opportunities afforded by simulation games for experiential learning in relation to formative assessments as well as the challenges presented by the application and validity of the games. This study made use of the desk-based approach as a line of research study while making use of secondary data that is available in competent scholarly literature related to simulation games as an alternative formative assessment tool for experiential learning in VET marketing education. The methodological flow followed in this research used the five phases implementation of industry 4.0 technologies as suggested by Garrido-Lova (2021). This research is original as, through desk-research, the study gave an overview of how simulation games can contribute towards experiential learning. The study indicated that a plethora of evidence points towards the number of pedagogical effects students benefit from when assessments take a formative approach and are carried out through a simulation game. This research should be of keen interest to current and future users of marketing simulation games who might have questions about how to use them effectively in a vocational setting and for assessment purposes.

Digital Games in Language Learning: Case Studies and Applications (Book review)

Language teachers have long used games to provide opportunities to practice using language and receive immediate feedback in an engaging, interactive setting. With more and more learners having access to computers, mobile devices, and the internet, teachers may also leverage digital games to expand learners’ opportunities for virtual exchanges beyond the classroom (Clark et al., 2016). However, existing research on using digital games for foreign language learning is somewhat limited, which highlights the necessity for a more comprehensive and detailed investigation in this field. To address such limitations in scope, Digital Games in Language Learning: Case Studies and Applications, edited by Mark Peterson and Nasser Jabbari, provides an extensive overview of the use of digital games for second language development. This book takes a fresh approach to digital game-based language learning by moving beyond the traditional concentration on pedagogy (e.g., Becker, 2017) to illustrate how digital games can significantly boost learning outcomes. It presents a collection of engaging case studies that explore critical issues in the field, such as the need for a learning theory specifically for game design and the challenge of measuring language development beyond vocabulary. [First paragraph of review]

Distributed Learning of Unknown Games for HetNet Selection

Distributed Learning of Unknown Games for HetNet Selection

An adaptive differential evolution algorithm based on relaxation strategy to realize the Nash equilibrium of multi-oligopoly game

. Inspired by the idea of game learning, this paper studies the Cournot game model of the multi-oligopoly market and studies the realization of the Nash equilibrium by using adaptive differential evolution algorithm based on relaxation strategies. The realization path of Nash equilibrium is attained through an adaptive differential evolution based on a relaxation strategy procedure applied to an objective function with best response dynamics. Among them, the objective function is derived from the sum of the payoff changes of each oligopoly under best response decisions. And theoretically proved that the Nash equilibrium is the optimal solution of the objective function.

Application of Games-Based Mathematics Learning in the Preschool-Elementary Transition

The results of this study aim to understand the use of Elementary Mathematics Games in Mathematics and Science Learning for PIAUD and PGMI Study Program Students during the PAUD-SD transition period. The research design used a descriptive quantitative approach with data collection techniques through questionnaire distribution. The results of the study found that: 1) Knowledge of Elementary Mathematics Games amounted to 92%; 2) the technique of using Elementary Mathematics Games in lecture activities has increased by 85%; 3) the difficulty faced in the process of using SD Mathematics Games amounted to 80%; 4) the integration technique of SD Mathematics Games is very easy to apply in activities Mathematics and Science Learning in PIAUD and PGMI Study Programs is 90%; 5) The percentage of usefulness in the use of Elementary Mathematics Games in the Mathematics and Science Learning process in the PIAUD and PGMI Study Programs is 95% with a benefit level of 76-100%. Thus, the use of Elementary Mathematics Games can be used in developing material from teaching materials for lecturers, teachers, and students in learning process activities.

Development of Civics Learning through COLAKTRA (Congklak Nusantara) Innovation as a Traditional Game-Based Learning Media

This research aims to investigate the use of the traditional game Congklak as a creative and educational learning medium in the context of Citizenship Education (PKn). The research method uses a literature review approach, by summarizing literature that is relevant to the research topic with the analytical model used in this literature review method involving several stages, namely sample selection, validation and review, data collection, data processing and analysis and preparation of a conceptual framework, which can served. The focus is on analyzing the benefits and implications of using Congklak Nusantara (COLAKTRA) in Civics learning. The results show that Congklak has an important role in children's development, supporting their physical, mental, intellectual and spiritual growth. The use of Congklak in Civics learning through COLAKTRA increases student involvement and creates a pleasant learning atmosphere. The integration of Civics values ​​into Congklak makes it a medium that invites players to reflect on and appreciate Indonesia's cultural riches. The conclusion of this research confirms that COLAKTRA is not just a game, but also an effort to preserve cultural heritage and form a generation that loves the country. It is hoped that the use of traditional games in Civics learning can help students understand and experience the diversity of Indonesia, so that they become competent citizens. Thus, COLAKTRA has the potential to be an effective tool in achieving the goals of citizenship education.

Interactive Game "Purple Seahorse" Raises Public Awareness, Caring for Individuals with Epilepsy

This initiative focuses on developing a Role-Playing Game (RPG) centred on epilepsy to provide fundamental knowledge about the condition. Utilizing interactive features and storytelling enhances user engagement. The main goals of this interactive learning game are to promote a community of respect and tolerance, increase public awareness of epilepsy, and combat associated prejudice. The project follows an Enhanced 3 Production methodology, comprising pre-production, production, and post-production phases. Data collection employs both qualitative and quantitative methods, with formative and summative evaluations contributing to the assessment process. Feedback from experts and end-users has guided improvements to the game. Results from game reviews show positive responses, indicating users' engagement with the epilepsy theme and their preference for interactive learning. These findings suggest opportunities for further research to expand the content.

Enhancing students’ motivation in studying mathematics disciplines: The effectiveness of applying contextual and gaming technologies

Introduction. Russian and international research investigations conducted on the problem of using game and contextual technologies in education have proven their effectiveness in obtaining certain knowledge, skills and abilities, as well as developing logical thinking. However, previous works have not suggested effective interactive game and contextual trainings that teach teamwork, improve communication skills and increase students’ interest in studying the subject. The aim of this article is to investigate the effectiveness of using contextual and game technologies in enhancing students’ motivation to studying mathematics disciplines. Materials and Methods. The research was conducted using the following methods: review and analysis of international and Russian scholarly literature on the research problem, tests, questionnaires, educational experiments. Results. The authors studied and analysed Russian and international scholarly literature and conducted theoretical and methodological research. The analysis of test results revealed that the knowledge obtained by means of contextual techniques and games contributes to enhancing motivation to studying mathematics disciplines. The analysis of the survey data showed that technologies are useful in learning, develop logical and analytical thinking, help to develop cognitive abilities, curiosity, attention and intelligence, as well as the ability to acquire knowledge independently. It is emphasized that practice-oriented tasks developed by the authors, aimed at integrating mathematical principles into real situations and problems in various fields of knowledge, facilitate the development of professional competences in future professionals. The authors note that the results of using the developed educational tools were tested in academic groups where the authors conducted practical classes. Conclusions. The article concludes about the effectiveness of using contextual and game learning techniques in developing logical and practice-oriented thinking and encouraging students to study mathematics disciplines.

Pembelajaran Dengan Permainan Edukatif dalam Meningkatkan Minat Belajar Siswa di Desa Sukahaji Kecamatan Cihaurbeuti Kabupaten Ciamis

School is a formal educational institution where students learn new things related to science and technology. In the classroom, there are still many students who have low interest in learning so that in the learning process they are less responsive to what is conveyed by the teacher. Therefore, teachers must be able to design creative and innovative learning media for the material to be delivered. One of the learning media that can be used is educational games. Educational games have a very important role in the learning process because they can improve students' cognitive, affective, and psychomotor abilities. The purpose of this activity is to carry out teaching activities in schools using educational game learning media. The method used is to provide teaching using educational games, observation, interviews, and evaluation. This activity was carried out on January 8-13, 2024 in grades 4 and 5 of SD N 1 Sukahaji and grades 1 to 6 MIS Mancagar. The results of this activity are to help teachers in implementing varied learning and increasing students' interest in learning by using educational game learning media. Educational games aim to develop the abilities possessed by participants that are useful in developing cognitive, affective, and psychomotor abilities. This community service activity is expected to be a motivation for students to learn and teachers to teach using educational games.

Using Quizlet and Brain Quiz in ESP virtual classroom at technical university (CEFR level B2/C1)

Importance. The use of game design features in educational activities, or gamification of learning, is a popular, albeit contentious, trend in the field of education right now. This research applies gamification as a strategy to enhance inner motivation and learner autonomy in acquiring L2 technical vocabulary of the second language by students at the B2/C1 level in a virtual classroom.Research Methods. The case study uses a two-cycle action research design to assess the difference between learning terminology with and without Quizlet support throughout a spring semester 2022, observes the development of learner autonomy through a survey, and demonstrates the growth of inner motivation reflected by Brain Quiz team scores.Results and Discussion. The paired-sample t-test findings showed a significant difference between the two vocabulary learning cycles. After utilising Quizlet, students’ vocabulary scores on Moodle quizzes increased by 10 to 15 % on average across all grade levels. As part of the evaluation process, the online formative assessment “Brain Quiz” demonstrates that students with higher performance on Moodle quizzes are able to establish more productive teams.Conclusion. The study can contribute to the English Language Teaching (ELT) literature regarding innovative and technological tools that can improve students’ language skills in the 21st century.

Research on the Application of Deep Learning in Ball Games

Deep learning algorithms are widely used in image detection. Ball games, popular in sports, are amenable to data fiction due to their straightforward interaction models. With AI advancements, deep learning (DL) techniques like AlexNet, SSD, and DNN are increasingly applied in ball sports. These models have excelled in image and speech recognition, and their adaptation to ball sports research has led to advancements in ball classification/localization, trajectory tracking, game video analysis, and decision-making in multiplayer ball games. Deep learning models are able to learn complex features and patterns to detect and locate balls more accurately in images. This is very critical for ball detection in sports games, monitoring systems, and other fields, which can improve the accuracy and reliability of detection. Deep learning models can apply knowledge learned from one task to a related task through transfer learning. This makes it easier for the model to adapt to different types of ball detection problems, even with limited training data. The future of DL in ball sports is bright, promising significant changes and improvements in training, competition, and spectatorship.

'SIMLA' Educational Game-Based Learning Media for the Inculcation of Pancasila Symbols and Principles, Augmenting Independent Character

The transition from the K13 curriculum to an independent curriculum creates problems, especially in the learning process and learning media. A learning process needs to be supported by good learning media to achieve learning goals. This research aims to develop the educational game learning media "SIMLA" with material on the symbols and principles of Pancasila to strengthen the independent character of fourth-grade elementary school students. The type of research used is the research and development (R&D) ADDIE development model. The research subjects were material experts, media, teachers, and fourth-grade elementary school students. Data collection includes interview guides, validation instruments, and student questionnaires. This quantitative data was obtained from material, media, user/teacher, and student validator questionnaires. Qualitative data was obtained from suggestions and input from experts, users, and students. The validator analysis technique uses a Likert Scale. Data obtained from product trials and usage tests uses the Guttman scale. The results obtained from material validation were 87.5% (very valid), media validation 93.75% (very valid), user validation 100% (very valid), and product trials 100% (very practical/interesting). It is practical and fun to improve independent character. The results of the paired t-test show that this product is very effective in improving students' abilities. The educational game learning media produced using the Construct 3 application is valid and can improve student learning outcomes.

Applying machine learning to assess emotional reactions to video game content streamed on Spanish Twitch channels

This research explores for the first time the application of machine learning to detect emotional responses in video game streaming channels, specifically on Twitch, the most widely used platform for broadcasting content. Analyzing sentiment in gaming contexts is difficult due to the brevity of messages, the lack of context, and the use of informal language, which is exacerbated in the gaming environment by slang, abbreviations, memes, and jargon. First, a novel Spanish corpus was created from chat messages on Spanish video game Twitch channels, manually labeled for polarity and emotions. It is noteworthy as the first Spanish corpus for analyzing social responses on Twitch. Secondly, machine learning algorithms were used to classify polarity and emotions offering promising evaluations. The methodology followed in this work consists of three main steps: (1) Extracting Twitch chat messages from Spanish streamers’ channels related to gaming events and gameplays; (2) Processing and selecting the messages to form the corpus and manually annotating polarity and emotions; and (3) Applying machine learning models to detect polarity and emotions in the created corpus. The results have shown that a Bidirectional Encoder Representation from Transformers (BERT) based model excels with 78% accuracy in polarity detection, while deep learning and Random Forest models reach around 70%. For emotion detection, the BERT model performs best with 68%, followed by deep learning with 55%. It is worth noting that emotion detection is more challenging due to the subjective interpretation of emotions in the complex communicative context of video gaming on platforms such as Twitch. The use of supervised learning techniques, together with the rigorous corpus labeling process and the subsequent corpus pre-processing methodology, has helped to mitigate these challenges, and the algorithms have performed well. The main limitations of the research involve category and video game representation balance. Finally, it is important to stress that the integration of machine learning in video games and on Twitch is innovative, by allowing the identification of viewers’ emotions on streamers’ channels. This innovation could bring benefits such as a better understanding of audience sentiment, improving content and audience retention, providing personalized recommendations and detecting toxic behavior in chats.

The Dilemma of China's Basic Education and the Prominence of the Value of Educational Games

This paper focuses on the challenges faced by China's basic education in the era of digital entertainment, especially points out the harm of online game addiction to the healthy growth of teenagers, and reveals the universality of this problem by citing statistical data. With the prosperity of digital entertainment industry, the phenomenon of teenagers' excessive addiction to games is particularly prominent, especially in the context of epidemic situation, which is closely related to mental illness. Therefore, the society calls for the establishment and improvement of the anti-addiction mechanism and mental health intervention measures, and at the same time advocates the transformation of the game industry and develops functional games with educational significance. School education has negative functions in the process of adapting to social development, such as overemphasizing short-term results and regularization, which may lead to the suppression of students' personality and innovative spirit. Educators learn from the intrinsic attributes and values of games, and actively promote the development and application of educational games, with a view to enhancing students' intrinsic motivation through gamification learning, realizing entertaining and promoting their all-round physical and mental development.

Human–Wild Boar Coexistence: A Role-Playing Game for Collective Learning and Conflict Mitigation

Wild boars have become a common yet controversial species in France, where the main response to the species’ development and the problems it may cause is an increased hunting effort. However, wild boars are an extremely adaptive species, and their response to human activities (including hunting) is not fully understood. Moreover, hunting may be a source of conflict with other stakeholders and a topic for public debate, which questions its sustainability. To discuss wild boar behaviour, as well as (other) means to coexist with these animals, we developed a role-playing board game framed around wild boars and hunting. In this paper, we outline the design of the WILD BOAR(D) GAME and reflect on the first three game sessions, which we conducted in our research areas (Gorges du Gardon and Camargue Biosphere Reserves, France). We show that a continuous back and forth between the game and reality allows the participants to elicit their knowledge as well as learn from the other participants, which contributes to filling in the knowledge gaps identified previously in the game design as well as mitigating conflicts regarding wild boars. Finally, we discuss the interest of including wild boars as a role in itself to reflect on their agency.

Amino-structure: A Card Game for Amino Acids Learning in Biochemistry Classes

Amino-structure: A Card Game for Amino Acids Learning in Biochemistry Classes

The use of educational game-based learning media on financial literacy

This conceptual article discusses the use of educational games as learning media that can improve student understanding. The use of educational games as an alternative learning media can provide innovative and effective variations in achieving learning objectives and improving student achievement. In addition, the use of educational game learning media also has several advantages. The method used in this article is a literature study and conceptual analysis. Based on the literature review conducted, there are various advantages possessed by educational game learning media, including Practical Experience, Mistakes Without Risk, Highly Motivated and Engaged, Experience-Based Learning, Personalization and Progress Monitoring, Collaborative and Competitive Learning. The findings of this study are beneficial to educators, policymakers, and students especially. Keywords: Educational games; financial literacy; learning media.