Effects of game‐based learning on students' mathematics achievement: A meta‐analysis

This meta‐analysis investigated the effects of learning video games on mathematics achievement of PreK‐12th‐grade students compared with traditional classroom instructional methods. Results from the 24 collected studies showed heterogeneity among effect sizes, both in magnitude and direction. Using a random effects model, a small but marginally significant overall effect ( ) suggested that mathematics video games contributed to higher learning gains as compared with traditional instructional methods. In addition, moderator analyses were mixed in terms of statistical significance and explored effect‐size heterogeneity across effects using grade level, instrument type, length of game‐based intervention, country, publication type, and study year characteristics. Overall findings indicate that video games are a slightly effective instructional strategy for teaching mathematics across PreK‐12th‐grade levels.     

Effects of anxiety levels on learning performance and gaming performance in digital game‐based learning

Anxiety plays an influential role in foreign language learning. However, a lack of attention was paid to examining the effects of anxiety levels on learning performance and gaming performance in digital game‐based learning. To this end, this study developed a game‐based English learning system and investigated how different levels of anxiety affected learners' learning performance and gaming performance. A quasi‐experiment was conducted in an elementary school. The results showed that high‐anxiety learners performed worse than low‐anxiety learners in speaking, word/sentence match, and overall learning performance. However, they performed similarly in listening performance. Moreover, the results showed that high‐ and low‐anxiety learners demonstrated a similar level of gaming performance. A subsequent analysis showed that significant correlations existed between learning performance and gaming performance for learners with high anxiety whereas such positive correlations were rarely found for learners with low anxiety, indicating that high‐anxiety learners' learning performance could be fostered by their gaming performance. The findings suggested that digital game‐based learning was particularly beneficial to high‐anxiety learners, whose gaming performance was a facilitative factor of their learning performance.     

Predicting students' knowledge after playing a serious game based on learning analytics data: A case study

Serious games have proven to be a powerful tool in education to engage, motivate, and help students learn. However, the change in student knowledge after playing games is usually measured with traditional (paper) prequestionnaires–postquestionnaires. We propose a combination of game learning analytics and data mining techniques to predict knowledge change based on in-game student interactions. We have tested this approach in a case study for which we have conducted preexperiments–postexperiments with 227 students playing a previously validated serious game on first aid techniques. We collected student interaction data while students played, using a game learning analytics infrastructure and the standard data format Experience API for Serious Games. After data collection, we developed and tested prediction models to determine whether knowledge, given as posttest results, can be accurately predicted. Additionally, we compared models both with and without pretest information to determine the importance of previous knowledge when predicting postgame knowledge. The high accuracy of the obtained prediction models suggests that serious games can be used not only to teach but also to measure knowledge acquisition after playing. This will simplify serious games application for educational settings and especially in the classroom easing teachers' evaluation tasks.     

Micro‐adaptivity: protecting immersion in didactically adaptive digital educational games

The idea of utilizing the rich potential of today's computer games for educational purposes excites educators, scientists and technicians. Despite the significant hype over digital game‐based learning, the genre is currently at an early stage. One of the most significant challenges for research and development in this area is establishing intelligent mechanisms to support and guide the learner, and to realize a subtle balance between learning and gaming, and between challenge and ability on an individual basis. In contrast to traditional approaches of adaptive and intelligent tutoring, the key advantage of games is their immersive and motivational potential. Because of this, the psycho‐pedagogical and didactic measures must not compromise gaming experience, immersion and flow. In the present paper, we introduce the concept of micro‐adaptivity, an approach that enables an educational game to intelligently monitor and interpret the learner's behaviour in the game's virtual world in a non‐invasive manner. On this basis, micro‐adaptivity enables interventions, support, guidance or feedback in a meaningful, personalized way that is embedded in the game's flow. The presented approach was developed in the context of the European Enhanced Learning Experience and Knowledge TRAnsfer project. This project also realized a prototype game, demonstrating the capabilities, strengths and weaknesses of micro‐adaptivity.     

Improving the effectiveness of English vocabulary review by integrating ARCS with mobile game‐based learning

Memorizing English vocabulary is often considered uninteresting, and a lack of motivation exists during learning activities. Moreover, most vocabulary practice systems automatically select words from articles and do not provide integrated model methods for students. Therefore, this study constructed a mobile game‐based English vocabulary practice system, which imitates the popular block elimination game and combines test items of article, difficulty, and teacher model in accordance with curriculum objectives and demands. The participants were first‐year students and classified into traditional group (Group T) and game‐based group (Group G), and learning effectiveness and motivation were analysed in this study. According to statistical analysis results, students who used the game‐based vocabulary practice system, which could captivate their attention and interest, had higher learning effectiveness and provided positive feedback of learning motivation. Furthermore, English teachers could select teaching materials that are consistent with the features, knowledge, and cultural background of learners to improve the relevance dimension of learning motivation.     

The impact of team‐based learning on students with different self‐regulated learning abilities

Team‐based learning (TBL) stresses applying knowledge rather than absorbing knowledge in class; studies have investigated the use of TBL and its merits in different teaching courses (e.g., medical science and business). TBL is most effective when students learn autonomously before class. However, the ability of autonomous learning is highly associated with the ability of self‐regulated learning (SRL); most importantly, not every student possesses good (or high) SRL ability. Nevertheless, few studies have compared the effectiveness of TBL in students with different SRL abilities. To address this issue, this study analyzed approximately 90 students, whose course teaching involves office application software (Microsoft Excel). This study also developed an online TBL system (called Online TBL) to facilitate performing TBL and to collect the learning behaviours of students with different (high or low) SRL abilities on each TBL stage. The analytical results show that compared with the low‐SRL students, the high‐SRL students were more prepared for class because they spent more reviewing material and had better scores on personal uploaded Excel and Individual Readiness Assurance Test. From the feedback of the peer evaluation, the results also show that the high‐SRL students received more credits than the low‐SRL students did. The questionnaire survey revealed that both low‐SRL and high‐SRL students had a favourable impression of TBL. Further discussion is given to explain the above results.     

A meta-analysis of research on digital game-based science learning

This meta-analysis investigates the relative effectiveness of game-based science learning against other instructional methods (Gameplay design) as well as against science game variants enriched with mechanisms (Game-mechanism design). An overall medium effect size for Gameplay design (k = 14, N_es = 14, g_RE = 0.646, p = .000), and an overall small-to-medium effect size for Game-mechanism design (k = 12, N_es = 13, adjusted g_RE = 0.270, p = .001) are reported. Further, the results of subgroup analyses suggest that students across educational levels all significantly benefit from game-based science learning although there is no significant difference between the subgroup mean effects. Further, learning and gaming mechanisms play equal roles significantly increasing students' scientific knowledge gains. With these promising results, however, high variance within the subgroups of educational levels and those of gaming mechanisms indicate that gaming mechanisms should be developed with care to meet students' different needs in different educational levels.     

The development of SCORM‐conformant learning content based on the learning cycle using participatory design

This study incorporates the 5E learning cycle strategy to design and develop Sharable Content Object Reference Model‐conformant materials for elementary science education. The 5E learning cycle that supports the constructivist approach has been widely applied in science education. The strategy consists of five phases: engagement, exploration, explanation, elaboration and evaluation. It has potential value for creating effective science e‐learning materials. This study implemented the participatory design (PD) method to investigate the possibility of applying the 5E model to science e‐learning materials. PD is an approach that understands knowledge by doing and focuses on collaborating with the intended users rather than designing ‘for’ them. In this study, researchers, designers and elementary science teachers cooperated at all stages of the design process (including explanation, analysis and decision making). The issues to be dealt with in this study included instructional designs based on the 5E model, techniques or specifications of e‐learning, learning objects, metadata and procedures. The results of this study provided concrete recommendations for how to incorporate the 5E learning cycle and how to develop effective e‐learning materials for elementary science instruction.     

Enabling people who are blind to experience science inquiry learning through sound‐based mediation

This paper addresses a central need among people who are blind, access to inquiry‐based science learning materials, which are addressed by few other learning environments that use assistive technologies. In this study, we investigated ways in which learning environments based on sound mediation can support science learning by blind people. We used NetLogo, a multi‐agent programmable modeling environment that is widely used for learning about complex systems. In order to provide blind people with access to such models, we used a component that supports sound‐based mediation. The sound‐based mediation provided real‐time information regarding objects' speed, location, and interactions with other objects. We examined blind people's learning about a chemical system of contained gas particles. The study employs a pre‐test intervention–post‐test design. Four adults participated individually in the study. They achieved most referent‐representation connections; their scientific conceptual knowledge became more specific and aligned with scientific knowledge; and their systems reasoning showed greater discrimination and relation between components. Discussion addresses learning with sound‐based mediation in broader terms and suggests further research into the potential of this unique type of low‐cost learning environment to assist blind people in their science learning.     

Enhancing middle school students' scientific learning and motivation through agent‐based learning

Facing students' decreasing motivation to pursue scientific study, schools and educators need to coordinate new technologies with pedagogical agents to effectively sustain or promote students' scientific learning and motivation to learn. Although the provision of pedagogical agents in student learning has been studied previously, it is not clear what benefits the strategy might offer with regard to student motivation. This study proposes an agent‐based mechanism that integrates problem‐solving and inquiry‐based instructions to help students better understand complex scientific concepts and to sustain their motivation to learn science. In this study, a quasi‐experiment was conducted to evaluate the performance and feasibility of our proposed mechanism. The results revealed that the agent‐based mechanism was effective and feasible for enhancing students' learning and motivation to learn. The mechanism was associated with increases in the acquisition of knowledge when compared with the control group. Its effect in promoting and sustaining students' motivation was also statistically significant. Detailed discussions of the findings are provided in this study.     

Learning immunology in a game: Learning outcomes,the use of player characters,immersion experiences and visual attention distributions

This study contributed to the current body of literature on game-based learning by investigating the way playing an educational game, Humunology, affected learning about the immune system and examining further the association between game immersion and visual attention distribution. A total of 79 undergraduate and graduate students participated, and data were collected both in situ and ex situ. The results showed that the students learned through playing Humunology, and the analyses of the use of player characters indicated that the game design facilitated gameplay behaviours that are consistent with the science content. The use of the eye-tracking method also revealed that students who were more immersed in playing Humunology paid more attention to areas related to player characters. The interpretations and limitations are discussed further.     

基于教学事件的应用游戏评价指标研究

应用游戏是指以知识传播、技能训练、情志培养等应用需求为主要目的, 集趣味性、知识性、功能性等特征为一体的游戏类型。在一些国家也称严肃游戏或功能游戏。 本文针对目前存在的应用游戏评价指标缺乏对游戏与教育特性结合程度考察的问题,研究了 游戏与教育过程在严肃游戏中的并发关系,将应用游戏的使用过程理解为通过游戏形式组织 起来的教学过程,以信息加工理论模型延伸出9 个教学事件为参考,设计了相应的应用游戏 评价指标。尝试通过考核应用游戏对9 个教学事件的支持程度,评价其对教育目的的支持程 度,最终衡量其作为应用游戏的实用价值。     

Learning loops – interactions between guided reflection and experience‐based learning in a serious game activity

In a study on experience‐based learning in serious games, 45 players were tested for topic comprehension by a questionnaire administered before and after playing the single‐player serious game Peacemaker (Impact Games 2007). Players were divided into two activity conditions: 20 played a 1‐h game with a 3‐min half‐time break to complete an affect self‐report form while 25 also participated in a 20‐min reflective group discussion during their half‐time break. During the discussion, they were asked by an experimenter to reflect on a set of topics related to the game. We present the analysis of the questionnaires, which illustrates that contrary to our expectations the reflection period had a negative effect on the learning of the players as judged by their performance on closed‐form questions at levels 1–5 (out of 6) on the Bloom taxonomy of learning outcomes. The questionnaire also included a few open questions which gave the players a possibility to display deep (level 6) learning. The players did not differ significantly between conditions regarding the questions measuring deep learning.     

From integrative to game‐based integrative peer response: high ability versus low ability

Peer response is useful to improve student writing. However, traditional peer response takes a single mode, which has some problems, such as effort for preparation of documents or ambiguous feedback. To address these problems, this study presents two peer response approaches, that is, an integrative approach and a game‐based integrative approach. Additionally, whether students with these two peer response approaches and those with a non‐peer response approach performed differently is examined in this study, where students' ability levels were also considered. The findings suggest that students with the peer response generally demonstrated better writing performance than those without the peer response. Furthermore, students with the game‐based integrative approach showed better writing quality than those with the integrative approach. Moreover, the former was more helpful in giving direct feedback on surface features and criticism than the latter. However, the usefulness of peer response approaches was associated with ability levels. More specifically, the integrative approach was beneficial for the high‐ability students to improve on their written expression in the aspect of length of composition, while the game‐based integrative approach was advantageous to enhance the low‐ability students' writing quality in the aspect of clear paragraph.     

A hierarchical model for structure learning based on the physiological characteristics of neurons

Almost all applications of Artificial Neural Networks (ANNs) depend mainly on their memory ability. The characteristics of typical ANN models are fixed connections, with evolved weights, globalized representations, and globalized optimizations, all based on a mathematical approach. This makes those models to be deficient in robustness, efficiency of learning, capacity, anti-jamming between training sets, and correlativity of samples, etc. In this paper, we attempt to address these problems by adopting the characteristics of biological neurons in morphology and signal processing. A hierarchical neural network was designed and realized to implement structure learning and representations based on connected structures. The basic characteristics of this model are localized and random connections, field limitations of neuron fan-in and fan-out, dynamic behavior of neurons, and samples represented through different sub-circuits of neurons specialized into different response patterns. At the end of this paper, some important aspects of error correction, capacity, learning efficiency, and soundness of structural representation are analyzed theoretically. This paper has demonstrated the feasibility and advantages of structure learning and representation. This model can serve as a fundamental element of cognitive systems such as perception and associative memory.     

Adaptation provisioning with respect to learning styles in a Web‐based educational system: an experimental study

Personalized instruction is seen as a desideratum of today's e‐learning systems. The focus of this paper is on those platforms that use learning styles as personalization criterion called learning style‐based adaptive educational systems. The paper presents an innovative approach based on an integrative set of learning preferences that alleviates some of the limitations of similar systems. The adaptive methods used as well as their implementation in a dedicated system (WELSA) are presented, together with a thorough evaluation of the approach. The results of the experimental study involving 64 undergraduate students show that accommodating learning styles in WELSA has a beneficial effect on the learning process.     

Challenging games help students learn: An empirical study on engagement,flow and immersion in game-based learning

In this paper, we investigate the impact of flow (operationalized as heightened challenge and skill), engagement, and immersion on learning in game-based learning environments. The data was gathered through a survey from players (N = 173) of two learning games (Quantum Spectre: N = 134 and Spumone: N = 40). The results show that engagement in the game has a clear positive effect on learning, however, we did not find a significant effect between immersion in the game and learning. Challenge of the game had a positive effect on learning both directly and via the increased engagement. Being skilled in the game did not affect learning directly but by increasing engagement in the game. Both the challenge of the game and being skilled in the game had a positive effect on both being engaged and immersed in the game. The challenge in the game was an especially strong predictor of learning outcomes. For the design of educational games, the results suggest that the challenge of the game should be able to keep up with the learners growing abilities and learning in order to endorse continued learning in game-based learning environments.     

Using multimedia for e‐learning

This paper reviews 12 research‐based principles for how to design computer‐based multimedia instructional materials to promote academic learning, starting with the multimedia principle (yielding a median effect size of d = 1.67 based on five experimental comparisons), which holds that people learn better from computer‐based instruction containing words and graphics rather than words alone. Principles aimed at reducing extraneous processing (i.e., cognitive processing that is unrelated to the instructional objective) include coherence (d = 0.70), signalling (d = 0.46), redundancy (d = 0.87), spatial contiguity (d = 0.79) and temporal contiguity (d = 1.30). Principles for managing essential processing (i.e., mentally representing the essential material) include segmenting (d = 0.70), pre‐training (d = 0.46) and modality (d = 0.72). Principles for fostering generative processing (i.e., cognitive processing aimed at making sense of the material) include personalization (d = 0.79), voice (d = 0.74) and embodiment (d = 0.36). Some principles have boundary conditions, such as being stronger for low‐ rather than high‐knowledge learners.