Cultivating critical game makers in digital game-based learning: learning from the arts

Digital games have the potential of being a transformative tool for applying constructionist principles to learning within formal and informal learning settings. Unfortunately, most recent attention has focused on instructionist games. Connected gaming provides a tantalizing alternative approach by calling for the development of games that are both instructive and modifiable by learners. If game design is to be used as a pedagogical tool in this manner, emphasis should be placed on the concurrent development of critical makers. In this paper, we advance the notion of connected gaming through positing a conception of a critical maker. To accomplish this, we look to the arts as a domain where pedagogical approaches are in place from which the game-based learning community can draw insights from, along with an overview of the potential challenges and opportunities that may accompany any attempt to develop critical makers.     

An examination of digital game-based situated learning applied to Chinese language poetry education

By gradually placing more importance on game-based education and changing learning motivation by applying game-playing characteristics, students’ learning experiences can be enhanced and a better learning effect can be achieved. When teaching the content of Chinese poetry in Taiwanese junior high schools, most teachers only explain the meaning of Chinese poetry, while it is difficult for students to understand why poets write these poems, resulting in learning confusion. This paper implemented a digital game-based situated learning system based on Tang Dynasty poems for learning Chinese poetry to simulate the situations of hardship encountered by poets when writing poetry in animated form to help junior high school students in Taiwan to have greater understanding when learning the content of Chinese poetry. The research results show that students who used the Gourd Tang Dynasty system in game-based instruction had significantly better learning achievements than students who underwent traditional narrative instruction. Among them, students in the low learning ability group improved in their grades significantly more than students in the high learning ability group in terms of their Tang Dynasty poetry learning. Furthermore, the authors examined the predictive relationships between perceived ease of use, perceived usefulness and behavioural intention related to the digital game-based situated learning system for Chinese language poetry. The factor of perceived usefulness was a key factor in the students’ positive attitudes towards the digital game-based situated learning system. There were no significant differences with respect to individual characteristics (i.e. gender, online game experience and digital learning experience). The results demonstrate that this type of system can be widely accepted by students with different learning experiences.     

The negative impact of goal-oriented instructions

The phrasing of task instructions can facilitate or hinder the learning process. In this study, three groups of participants (N = 526) performed a foreign vocabulary memorization task, with modified instructions for each group. The instructions were either learning oriented, encouraging participants to improve their abilities; outcome oriented, prompting participants to achieve a positive evaluation of their performance; or neutral, with no goal orientation, for the control group. Participants’ performance in the task was measured along with several factors pertinent to the learning process. Results showed that learning-oriented instructions led to lower performance levels, while outcome-oriented instructions reduced participants’ language risk-taking, both of which negatively impact learning. The control group had the best overall results, indicating that it is better to refrain from using goal-oriented instructions in learning tasks.     

Multimodal learning analytics for game-based learning

A distinctive feature of game-based learning environments is their capacity to create learning experiences that are both effective and engaging. Recent advances in sensor-based technologies such as facial expression analysis and gaze tracking have introduced the opportunity to leverage multimodal data streams for learning analytics. Learning analytics informed by multimodal data captured during students’ interactions with game-based learning environments hold significant promise for developing a deeper understanding of game-based learning, designing game-based learning environments to detect maladaptive behaviors and informing adaptive scaffolding to support individualized learning. This paper introduces a multimodal learning analytics approach that incorporates student gameplay, eye tracking and facial expression data to predict student posttest performance and interest after interacting with a game-based learning environment, Crystal Island . We investigated the degree to which separate and combined modalities (ie, gameplay, facial expressions of emotions and eye gaze) captured from students (n = 65) were predictive of student posttest performance and interest after interacting with Crystal Island . Results indicate that when predicting student posttest performance and interest, models utilizing multimodal data either perform equally well or outperform models utilizing unimodal data. We discuss the synergistic effects of combining modalities for predicting both student interest and posttest performance. The findings suggest that multimodal learning analytics can accurately predict students’ posttest performance and interest during game-based learning and hold significant potential for guiding real-time adaptive scaffolding.     

The potentials of game-based environments for integrated,immersive learning data

In the last two decades, game-based learning environments have evolved into powerful learning tools. With the growth and evolution in complexity of these innovations, complementary work in game-based assessment design has also begun to take shape and has generated considerable interest among a variety of education stakeholders. This is in part due to their ability to offer real-time, adaptive and integrated formative feedback. As the use of digital devices and digital learning tools continues to expand in schools, the potential for harnessing learning data becomes increasingly possible and powerful. Yet there are inherent tensions and challenges in the nature of collecting assessment data inside a game-based learning environment which confront our foundational premises of what makes for a good assessment. In this article, we explore the evolution and opportunities of the emerging field of game-based assessment, the challenges and tensions these innovations present and how we may be able to collectively advance this work to benefit everyday classrooms.     

Facilitating effective digital game-based learning behaviors and learning performances of students based on a collaborative knowledge construction strategy

Researchers have recognized the potential of educational computer games in improving students’ learning engagement and outcomes; however, facilitating effective learning behaviors during the gaming process remains an important and challenging issue. In this paper, a collaborative knowledge construction strategy was incorporated into an educational computer game to facilitate students’ knowledge sharing and organizing during the game-based learning process. An experiment was conducted to examine the students’ learning behavioral patterns, group efficacy, and problem-solving awareness. The experimental results revealed that the proposed approach improved the students’ learning achievements and awareness of problem-solving. Moreover, from the analysis of the students’ behavior sequences, it was found that, with the collaborative knowledge construction mechanism, the students revealed significantly more aggressive learning behavioral patterns, such as “comparing and observing the learning targets” and “seeking clues and answers” during the gaming process. This implies that integrating the collaborative knowledge construction mechanism into the gaming process has great potential for helping students effectively learn and organize knowledge as well as fostering their awareness of applying the acquired knowledge to dealing with problems.     

游戏化学习体验的质性分析研究

基于游戏化学习体验的基本理论框架,通过对学生游戏化学习体验的质性分析,本文探究了游戏化学习体验中认知体验与主体性体验的核心内容。本研究基于对多种资料的分析,归纳了游戏化学习过程中认知体验的过程要素,包含知识探究、学习迁移和认知成果;建构了主体性体验的核心要素,包括学习过程中的情绪状态、游戏与学习动机和反思意愿。对游戏化学习体验的核心内容的探究有助于理解游戏化学习行为,了解学生游戏化学习体验的个体差异,为教育游戏的设计和评估提供了重要参考。     

Coordinating scaffolds for collaborative inquiry in a game-based learning environment

Collaborative inquiry learning affords educators a context within which to support understanding of scientific practices, disciplinary core ideas, and crosscutting concepts. One approach to supporting collaborative science inquiry is through problem-based learning (PBL). However, there are two key challenges in scaffolding collaborative inquiry learning in technology rich environments. First, it is unclear how we might understand the impact of scaffolds that address multiple functions (e.g., to support inquiry and argumentation). Second, scaffolds take different forms, further complicating how to coordinate the forms and functions of scaffolds to support effective collaborative inquiry. To address these issues, we identify two functions that needed to be scaffolded, the PBL inquiry cycle and accountable talk. We then designed predefined hard scaffolds and just-in-time soft scaffolds that target the regulation of collaborative inquiry processes and accountable talk. Drawing on a mixed method approach, we examine how middle school students from a rural school engaged with Crystal Island: EcoJourneys for two weeks (N=45). Findings indicate that hard scaffolds targeting the PBL inquiry process and soft scaffolds that targeted accountable talk fostered engagement in these processes. Although the one-to-one mapping between form and function generated positive results, additional soft scaffolds were also needed for effective engagement in collaborative inquiry and that these soft scaffolds were often contingent on hard scaffolds. Our findings have implications for how we might design the form of scaffolds across multiple functions in game-based learning environments.     

An overview of game-based learning in building services engineering education

To ensure proper competence development and short graduation times for engineering students, it is essential that the study motivation is encouraged by new learning methods. In game-based learning, the learner's engagement is increased and learning is made meaningful by applying game-like features such as competition and rewarding through virtual promotions or achievement badges. In this paper, the state of the art of game-based learning in building services engineering education at university level is reviewed and discussed. A systematic literature review indicates that educational games have been reported in the field of related disciplines, such as mechanical and civil engineering. The development of system-level educational games that realistically simulate work life in building services engineering is still in its infancy. Novel rewarding practices and more comprehensive approaches entailing the state-of-the-art information tools such as building information modelling, geographic information systems, building management systems and augmented reality are needed in the future.     

Use of digital console game for children with attention deficit hyperactivity disorder

ADHD or ADD （Attention Deficit/Hyperactivity Disorder） is one of the most frequently diagnosed mental and behavioral disorders of children. Children with ADHD are characterized by poor attention and distractibility and/or hyperactive and impulsive behaviors. Although there is no ＂cure＂ for ADHD, there are accepted treatments that specifically target its symptoms. The most common standard treatments include medication, psychological or behavioral modification, and educational approaches. However, more and more parents began to worry about the side effects of medication. For this reason, this study proposed a new treatment by using digital console games to assist children who suffer from ADD to improve their attention condition. With the advantages of gaming apparatus, this study intends to improve the effect of behavioral intervention and cognitive remediation therapy for ADD children.     

An investigation of the effects of a graphic organizer in an online serious game on learning outcomes and attitudinal perceptions

A serious game, which is designed for learning purposes rather than recreational purposes, has been applied for digital game-based Learning. This study investigated the effects of graphic organizers in a serious game, “The Transistor”, on learning outcomes and attitudinal perceptions. A total of 99 participants were randomly assigned to three groups: non-organizer group, advance organizer group, and post organizer group. The results revealed that participants using a post organizer, which was presented after the game for review, outperformed those using a non-organizer and an advance organizer on both learning outcomes (recall test scores and recycling intention) and attitudinal perceptions (perceived enjoyment, perceived usefulness, and satisfaction). These findings implied that a post-graphic organizer could enhance the instructional value of a serious game. More detailed implications, limitations, and suggestions for future research are discussed.     

Motivational support from digital game-based learning environments (DGBLEs) for scientific topics designed by novice end users

The integration of digital game-based learning environment (DGBLE) enhanced by technology in recent years has been hampered by its complexity and difficulty in realistically addressing teachers’ instructional needs. The pedagogical gap between what teachers think a DGBLE can deliver and what DGBLE can actually offer remains substantial. To preliminarily address the gap, this present qualitative study adopted an end-user-development lens to understand how K-12 teachers as novice end users interpret and design game features in their DGBLEs. The design ideas, situated in teaching scientific subjects, were collected from 19 pre-service teachers in a public university in the United States by semi-structured interviews based on game features identified in the literature. The data analysis, grounded in the ARCS (attention, relevance, confidence, satisfaction) motivational design model, employed the direct content analysis method and revealed the distribution of motivational support among participants’ DGBLEs design ideas. The finding suggested that participants were more likely to incorporate intrinsic motivational support than extrinsic support in their design. This trend could compromise the motivational support of DGBLEs when students need additional extrinsic motives toward the end of learning processes. Further, the study illuminates the importance of incorporating end users’ perspectives early on in the DGBLE design process.     

Early prediction of student knowledge in game-based learning with distributed representations of assessment questions

Game-based learning environments hold significant promise for facilitating learning experiences that are both effective and engaging. To support individualised learning and support proactive scaffolding when students are struggling, game-based learning environments should be able to accurately predict student knowledge at early points in students' gameplay. Student knowledge is traditionally assessed prior to and after each student interacts with the learning environment with conventional methods, such as multiple choice content knowledge assessments. While previous student modelling approaches have leveraged machine learning to automatically infer students' knowledge, there is limited work that incorporates the fine-grained content from each question in these types of tests into student models that predict student performance at early junctures in gameplay episodes. This work investigates a predictive student modelling approach that leverages the natural language text of the post-gameplay content knowledge questions and the text of the possible answer choices for early prediction of fine-grained individual student performance in game-based learning environments. With data from a study involving 66 undergraduate students from a large public university interacting with a game-based learning environment for microbiology, Crystal Island , we investigate the accuracy and early prediction capacity of student models that use a combination of gameplay features extracted from student log files as well as distributed representations of post-test content assessment questions. The results demonstrate that by incorporating knowledge about assessment questions, early prediction models are able to outperform competing baselines that only use student game trace data with no question-related information. Furthermore, this approach achieves high generalisation, including predicting the performance of students on unseen questions.

Practitioner notes

What is already known about this topic

• A distinctive characteristic of game-based learning environments is their capacity to enable fine-grained student assessment.
• Adaptive game-based learning environments offer individualisation based on specific student needs and should be able to assess student competencies using early prediction models of those competencies.
• Word embedding approaches from the field of natural language processing show great promise in the ability to encode semantic information that can be leveraged by predictive student models.

What this paper adds

• Investigates word embeddings of assessment question content for reliable early prediction of student performance.
• Demonstrates the efficacy of distributed word embeddings of assessment questions when used by early prediction models compared to models that use either no assessment information or discrete representations of the questions.
• Demonstrates the efficacy and generalisability of word embeddings of assessment questions for predicting the performance of both new students on existing questions and existing students on new questions.

Implications for practice and/or policy

• Word embeddings of assessment questions can enhance early prediction models of student knowledge, which can drive adaptive feedback to students who interact with game-based learning environments.
• Practitioners should determine if new assessment questions will be developed for their game-based learning environment, and if so, consider using our student modelling framework that incorporates early prediction models pretrained with existing student responses to previous assessment questions and is generalisable to the new assessment questions by leveraging distributed word embedding techniques.
• Researchers should consider the most appropriate way to encode the assessment questions in ways that early prediction models are able to infer relationships between the questions and gameplay behaviour to make accurate predictions of student competencies.

     

Effects of locus of control on behavioral intention and learning performance of energy knowledge in game-based learning

Game-based learning has been gradually adopted in energy education as an effective learning tool because digital games have the potential to increase energy literacy and encourage behavior change. However, not every learner can benefit from this support. There is a need to examine how human factors affect learners’ reactions to digital games for supporting learning. This study addresses this issue by developing a digital educational game and examining the effects of locus of control on behavioral intention and learning performance of energy knowledge in game-based learning. The results demonstrated that learners with internal locus of control (ILC) outperformed external locus of control (ELC) learners in energy knowledge after interacting with the game. Moreover, the proposed game can reasonably reduce the differences in the behavioral intention of the ILC and ELC learners, indicating that ELC learners significantly improved their behavioral intention after playing the game, especially their external behavioral intention in the aspects of persuasion, legal action, and political action. The findings of this study are discussed to enhance the understanding of locus of control on behavioral intention and energy knowledge in the context of digital games.     

Exploring the role of flow experience,learning performance and potential behavior clusters in elementary students' game-based learning

Well-designed game-based learning can provide students with an innovative environment that may enhance students' motivation and engagement in learning and thus improve their learning performance. The purpose of this study was to examine the relationships among elementary school students' flow experience and learning performances. We also investigated the gender and grade differences as well as the types of potential clusters of flow experiences and performance. Thirty-four elementary school students participated in this study. This study conducted correction analysis, difference analysis and a two-stage cluster analysis. The findings suggested that the students with higher flow experiences tended to have higher learning performances. The results of gender differences showed that female students had high performance scores and great flow experiences in the mini-educational game in this study. Moreover, the results revealed that the students of higher grade had significantly higher scores in both performance and flow experience than the students of lower grade. The result of cluster analysis fell into three categories: low performance/low flow experience students, high flow experience students and high performance/high flow experience students. On the basis of our findings, we also proposed suggestions for future game-based learning research.     

Effects of game-based learning in an OpenSim-supported virtual environment on mathematical performance

This experimental study was intended to examine whether the integration of game characteristics in the OpenSimulator-supported virtual reality (VR) learning environment can improve mathematical achievement for elementary school students. In this pre- and posttest experimental comparison study, data were collected from 132 fourth graders through an achievement test. The same math problem-solving tasks were provided to the experimental and control groups in the VR learning setting. Tasks for the experimental group involved the game characteristics of challenges, a storyline, immediate rewards, and the integration of game-play in the learning content. Analysis of covariance with the achievement test results indicated a significant effect of game-based learning (GBL) in the VR environment, in comparison with non-GBL in the VR environment, in promoting math knowledge test performance.     

Effects of flipped classrooms integrated with MOOCs and game-based learning on the learning motivation and outcomes of students from different backgrounds

ABSTRACT

This study aimed to investigate the effect of flipped classrooms integrated with massive open online courses (MOOCs) and game-based learning on the learning motivation and learning outcomes of students from different backgrounds (in terms of gender, grade, self-confidence indicators in mathematics, and roles played in the game-based learning process). Surveys and a semi-structured open questionnaire were used for data collection, including a basic information questionnaire (to understand the participants’ backgrounds), a questionnaire on learning motivation (the Motivated Strategies for Learning Questionnaire, MSLQ), a test of learning achievements in mathematics, and a semi-structured open-ended questionnaire (to understand the learners’ feelings). Quantitative analysis results showed that flipped classrooms integrated with MOOCs and game-based learning can enhance students’ learning motivation and outcomes. Specifically, compared with students with high self-confidence in learning mathematics, students with low and medium levels of self-confidence showed significantly greater improvement in overall learning motivation. Significantly more enhancements were found for the expectation component of “soldiers” (students with relatively lower learning achievements) than for “generals” (students with higher learning achievements). Furthermore, students in the eighth grade showed significantly greater progress in academic performance than did students in the seventh grade.