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BackgroundGamification in mental health could increase training adherence, motivation, and transfer effects, but the external validity of gamified tasks is unclear. This study documents that gamified task variants can show preserved associations between markers of behavioral deficits and health-related variables. We draw on the inhibitory control deficit in overweight populations to investigate effects of gamification on performance measures in a web-based experimental task. ObjectiveThis study tested whether associations between inhibitory control and overweight were preserved in a gamified stop-signal task (SST). MethodsTwo versions of an adaptive SST were developed and tested in an online experiment. Participants (n=111) were randomized to 1 of the 2 task variants and completed a series of questionnaires along with either the gamified SST or a conventional SST. To maximize its possible effects on participants’ inhibitory control, the gamified SST included multiple game elements in addition to the task itself and the stimuli. Both variants drew on the identical core mechanics, but the gamified variant included an additional narrative, graphical theme, scoring system with visual and emotional feedback, and the presence of a companion character. In both tasks, food and neutral low-poly stimuli were classified based on their color tone (go trials), but responses were withheld in 25% of the trials (stop trials). Mean go reaction times and stop-signal reaction times (SSRT) were analyzed as measures of performance and inhibitory control. ResultsParticipants in the gamified SST had longer reaction times (803 [SD 179] ms vs 607 [SD 90] ms) and worse inhibitory control (SSRT 383 [SD 109] ms vs 297 [SD 45] ms). The association of BMI with inhibitory control was relatively small (r=.155, 95% CI .013-.290). Overweight participants had longer reaction times (752 [SD 217] ms vs 672 [SD 137] ms) and SSRTs (363 [SD 116] ms vs 326 [SD 77] ms). Gamification did not interact with the effect of overweight on mean performance or inhibitory control. There were no effects of gamification on mood and user experience, despite a negative effect on perceived efficiency. ConclusionsThe detrimental effects of heightened BMI on inhibitory control were preserved in a gamified version of the SST. Overall, the effects of overweight were smaller than in previously published web-based and laboratory studies. Gamification elements can impact behavioral performance, but gamified tasks can still assess inhibitory control deficits. Although our results are promising, according validations may differ for other types of behavior, gamification, and health variables.

Background: In recent years, the importance of emotions in learning has been increasingly recognized. Applying emotional design to induce positive emotions has been considered a means to enhance the instructional effectiveness of digital learning environments. However, only a few studies have examined the specific effects of emotional design in game-based learning. Objectives: This quasi-experimental study utilized a value-added research approach to investigate whether emotional design applied to scaffolding in a game-based learning environment improves learning and motivational outcomes more than emotionally neutral scaffolding. Methods: A total of 138 participants, mean age of 11.5 (SD = 0.73) participated in the study. A total of 68 participants played the base version of a fraction learning game (Number Trace), where scaffolding was provided with emotionally neutral mathematical notations, and 70 participants played the value-added version of the game using emotionally designed animated scaffolding agents. Pre-and post-tests were used to measure conceptual fraction knowledge and self-reported measures of situational interest and situational self-efficacy to evaluate motivational outcomes. Results and Conclusions: Our results indicate that the emotional design applied to scaffolds can improve the educational value of a game-based learning environment by enhancing players' situational interest and situational self-efficacy. However, although the intervention improved the participants' conceptual fraction knowledge, there was no significant difference between the scaffolding conditions in participants' learning outcomes. Takeaways: The results suggest that emotional design can increase the educational impact of game-based learning by promoting the development of interest, as well as improving self-efficacy.

Even though game elements can increase motivation and engagement, they also might distract learners and thereby decrease performance and learning outcomes. In the current study, we investigated the effects of intrinsically integrated game elements on performance and learning outcomes. In a pre-post training study, 85 adult participants were randomly assigned either to the game-based or non-game-based training condition. Participants trained their fraction magnitude understanding with digital number line estimation tasks on five consecutive days (á 15-20 min). The learning outcomes were evaluated using a paper-based number line estimation task. While participants in both the game-based and non-game-based condition improved their fraction magnitude understanding from pretest to posttest, their improvement did not differ significantly. However, during the training, participants in the game-based condition responded more accurately but were slower than those in the non-game-based condition. The current results suggest that game elements might increase participants' cognitive engagement and change their priorities or strategies (i.e., accuracy over speed) during learning. Nevertheless, better training performance did not lead to superior learning outcomes.

Research on instructional design provides inconsistent results on the use of game elements in cognitive tasks or learning. Cognitive load theory suggests that game elements increase extraneous cognitive load and, thus, may distract the users. In contrast, from an emotional design perspective, the use of game elements is argued to increase performance by providing a more interesting and motivating task environment. To contribute to this debate, the current study investigated the effect of game elements on behavioral performance, attention, and motivation. We designed two versions of the number line estimation task--one with game elements and one without. Participants completed both versions of the task while their eye-fixation behavior was recorded. Results indicated that participants paid attention to game elements, that is, they fixated them, although they were not necessary to complete the task. However, no difference in estimation accuracy was observed between the two task versions. Moreover, the task version with game elements was rated to be more attractive, stimulating, and novel, and participants reported experiencing greater flow. In sum, these data indicate that game elements seem to capture attention but also increase motivational aspects of learning tasks rather than decreasing performance.

The main aim of this article was to investigate the educational potential of a game-based math game competition to engage students in training rational numbers. Finnish fourth (n = 59; M[subscript age] = 10.36) and sixth graders (n = 105; M[subscript age] = 12.34) participated in a math game competition relying on intra-classroom cooperation and inter-classroom competition. During a three-week period, the students were allowed to play a digital rational number game, which is founded on number line estimation task mechanics. The results indicated that students benefited significantly from participating in the competition and playing behaviour could be used to assess students rational number knowledge. Moreover, students were engaged in the competition and the results revealed that intrinsically motivating factors such as enjoyment and perceived learning gains predicted students' willingness to participate in math game competitions again. This article provides empirical support that educational game competition can be an effective, engaging, and a fair instructional approach.

The use of game elements in learning tasks is thought to facilitate emotional and behavioral responses as well as learner engagement. So far, however, little is known about the underlying neural mechanisms of game-based learning. In the current study, we added game elements to a number line estimation task assessing fraction understanding and compared brain activation patterns to a non-game-based task version. Forty-one participants performed both task versions in counterbalanced order while frontal brain activation patterns were assessed using near-infrared spectroscopy (within-subject, cross-sectional study design). Additionally, heart rate, subjective user experience, and task performance were recorded. Task performance, mood, flow experience, as well as heart rate did not differ between task versions. However, the game-based task-version was rated as more attractive, stimulating and novel compared to the non-game-based task version. Additionally, completing the game-based task version was associated with stronger activation in frontal brain areas generally involved in emotional and reward processing as well as attentional processes. These results provide new neurofunctional evidence substantiating that game elements in learning tasks seem to facilitate learning through emotional and cognitive engagement. [ABSTRACT FROM AUTHOR]

Assessment of cognitive load is a major step towards adaptive interfaces. However, non-invasive assessment is rather subjective as well as task specific and generalizes poorly, mainly due to methodological limitations. Additionally, it heavily relies on performance data like game scores or test results. In this study, we present an eye-tracking approach that circumvents these shortcomings and allows for effective generalizing across participants and tasks. First, we established classifiers for predicting cognitive load individually for a typical working memory task (n-back), which we then applied to an emergency simulation game by considering the similar ones and weighting their predictions. Standardization steps helped achieve high levels of cross-task and cross-participant classification accuracy between 63.78 and 67.25 percent for the distinction between easy and hard levels of the emergency simulation game. These very promising results could pave the way for novel adaptive computer-human interaction across domains and particularly for gaming and learning environments. [ABSTRACT FROM AUTHOR]

Background: In recent years, the importance of emotions in learning has been increasingly recognized. Applying emotional design to induce positive emotions has been considered a means to enhance the instructional effectiveness of digital learning environments. However, only a few studies have examined the specific effects of emotional design in game‐based learning. Objectives: This quasi‐experimental study utilized a value‐added research approach to investigate whether emotional design applied to scaffolding in a game‐based learning environment improves learning and motivational outcomes more than emotionally neutral scaffolding. Methods: A total of 138 participants, mean age of 11.5 (SD = 0.73) participated in the study. A total of 68 participants played the base version of a fraction learning game (Number Trace), where scaffolding was provided with emotionally neutral mathematical notations, and 70 participants played the value‐added version of the game using emotionally designed animated scaffolding agents. Pre‐and post‐tests were used to measure conceptual fraction knowledge and self‐reported measures of situational interest and situational self‐efficacy to evaluate motivational outcomes. Results and Conclusions: Our results indicate that the emotional design applied to scaffolds can improve the educational value of a game‐based learning environment by enhancing players' situational interest and situational self‐efficacy. However, although the intervention improved the participants' conceptual fraction knowledge, there was no significant difference between the scaffolding conditions in participants' learning outcomes. Takeaways: The results suggest that emotional design can increase the educational impact of game‐based learning by promoting the development of interest, as well as improving self‐efficacy. Lay Description: What is currently known about the subject matter: Learning games that include scaffolding can enhance learning outcomes.Emotional design can enhance learning outcomes.Only a few studies have examined effects of emotional design in game‐based learning.There are no studies examining the effects of emotional design of scaffolding. What this paper adds to this: The study is the first to examine the effects of emotionally designed scaffolds in game‐based learning.Emotional design applied to scaffolds did not enhance learning more than emotionally neutral scaffolds.Emotional design applied to scaffolds enhanced participants' situational interest and situational self‐efficacy. The implications of study findings for practitioners: The study confirms that math games that include number line mechanics and scaffolding can be effective.The results demonstrated that emotional design of scaffolds did not harm learning.The results confirm that emotional design of instructional features is useful as it can enhance motivational outcomes.Learning effects of emotionally designed features should be examined with longer interventions. [ABSTRACT FROM AUTHOR]

Feedback is a critical aspect of optimised learning design, but there are few, if any, feedback models that map different types of feedback and how they may assist students to increase performance and enhance their learning experience. This research paper outlines a feedback model as an extension of the four-dimensional framework which includes a consideration of the type, the content, the format, and the frequency of feedback, as well as the agent which delivers it. This model is based upon an understanding of learning in the context of designing learning experiences and utilises a game-based model of learning to understand the importance of motivation and autonomy in learners to enhance and accelerate learning. The framework is developed and reflected upon by analysing two cases: a medical triage case in which the timing and frequency of feedback proved critical, and a business simulation which illuminated the need for a range of types of feedback and to be aware of the possibility of different agents (instructor peer and game) that can deliver feedback. The extended model may help game and learning designers alike to discern different types of feedback, both in games and more generally, in more explicit and nuanced ways. [ABSTRACT FROM AUTHOR]

Copyright of Lernen und Lernstörungen is the property of Hogrefe AG and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Recent advancements in artificial intelligence make its use in education more likely. In fact, existing learning systems already utilize it for supporting students' learning or teachers' judgments. In this perspective article, we want to elaborate on the role of humans in making decisions in the design and implementation process of artificial intelligence in education. Therefore, we propose that an artificial intelligence-supported system in education can be considered a closed-loop system, which includes the steps of (i) data recording, (ii) pattern detection, and (iii) adaptivity. Besides the design process, we also consider the crucial role of the users in terms of decisions in educational contexts: While some implementations of artificial intelligence might make decisions on their own, we specifically highlight the high potential of striving for hybrid solutions in which different users, namely learners or teachers, are provided with information from artificial intelligence transparently for their own decisions. In light of the non-perfect accuracy of decisions of both artificial intelligence-based systems and users, we argue for balancing the process of human- and AI-driven decisions and mutual monitoring of these decisions. Accordingly, the decision-making process can be improved by taking both sides into account. Further, we emphasize the importance of contextualizing decisions. Potential erroneous decisions by either machines or humans can have very different consequences. In conclusion, humans have a crucial role at many stages in the process of designing and using artificial intelligence for education. [ABSTRACT FROM AUTHOR]

Statistical knowledge is a key competency for psychologists in order to correctly interpret assessment outcomes. Importantly, when learning statistics (and its mathematical foundations), self‐efficacy (defined as an individual's belief to successfully accomplish specific performance attainments) is a central predictor of students' motivation to learn, learning engagement, and actual achievement. Therefore, it is crucial to gain a better understanding of students' self‐efficacy for statistics and its interrelations with statistics anxiety and students' belief in the relevance of statistics. Here, we present results showing development and validation of a self‐assessment questionnaire for examining self‐efficacy for statistics in psychology students (Self‐Efficacy for Learning Statistics for Psychologists, SES‐Psy). Upon using different methodological approaches, we demonstrate that the SES‐Psy questionnaire has (1) sound psychometric properties, and within our sample of university students, (2) a robust latent structure disclosing three clearly distinctive profiles that are characterized by a complex and nonlinear interplay between perceived self‐efficacy (for basic and advanced statistics), statistics anxiety, and students' belief in the relevance of statistics. Implications for educational settings and future research are discussed. [ABSTRACT FROM AUTHOR]

Copyright of Lernen und Lernstörungen is the property of Hogrefe AG and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

During the COVID-19 pandemic, several countries implemented social distancing measures to contain virus transmission. However, these vital safety measures have the potential to impair mental health or wellbeing, for instance, from increased perceived loneliness. Playing social video games may offer a way to continue to socialize while adhering to social distancing measures. To examine this issue further, the present online survey investigated social gaming during the pandemic and its association to perceived loneliness within a German-speaking sample. Results indicated a small positive correlation between general gaming frequency and perceived loneliness. Detailed analysis revealed a negative association between perceived loneliness and increased social forms of video gaming. Specifically, gamers with a higher social motive for gaming perceived less loneliness, but gamers with a dominant escape motive demonstrated a positive link to perceived loneliness. The use of social gaming in times of social distancing seems to play a small but significant factor in perceived loneliness compared to other demographical data. The findings are discussed with respect to methodological limitations, effect sizes, and sample characteristics. The results enrich the current knowledge on video gaming and its link to social wellbeing and provide a more nuanced picture than simplistic investigations of screen time. [ABSTRACT FROM AUTHOR]

While game-based learning seems to be an effective instructional approach, the underlying learning and engagement mechanisms of games are still poorly understood. In the current study, we investigated to what extent flow experience and situational interest are different indicators of engagement in game-based learning. Fifty-two Finnish 5th graders played a game on fractions at home during COVID-19 enforced distance learning. Flow and situational interest measures were embedded directly into the game environment. Results revealed that although flow experience and situational interest constructs share similar components, they also differ. In particular, regression analysis indicated that situational interest is mostly related to immersive aspects of flow. Moreover, learning gains achieved by playing the game and situational interest were positively related - a relation not found with flow. Although flow was not related to learning gains, it seems to be a more competence-oriented construct than situational interest as it was positively correlated with in-game performance. The design of the game successfully supported weaker students with adaptive scaffolds and in-game self-reporting measures worked well. Taken together, even though situational interest and flow share similar components, both constructs are important for multifaceted assessment of engagement in game-based learning. Theoretical and practical implications for engagement research and game design are discussed. [ABSTRACT FROM AUTHOR]

Serious games have become an important tool to train individuals in a range of different skills. Importantly, serious games or gamified scenarios allow for simulating realistic time-critical situations to train and also assess individual performance. In this context, determining the user's cognitive load during (game-based) training seems crucial for predicting performance and potential adaptation of the training environment to improve training effectiveness. Therefore, it is important to identify in-game metrics sensitive to users' cognitive load. According to Barrouillets' time-based resource-sharing model, particularly relevant for measuring cognitive load in time-critical situations, cognitive load does not depend solely on the complexity of actions but also on temporal aspects of a given task. In this study, we applied this idea to the context of a serious game by proposing in-game metrics for workload prediction that reflect a relation between the time during which participants' attention is captured and the total time available for the task at hand. We used an emergency simulation serious game requiring management of time-critical situations. Forty-seven participants completed the emergency simulation and rated their workload using the NASA-TLX questionnaire. Results indicated that the proposed in-game metrics yielded significant associations both with subjective workload measures as well as with gaming performance. Moreover, we observed that a prediction model based solely on data from the first minutes of the gameplay predicted overall gaming performance with a classification accuracy significantly above chance level and not significantly different from a model based on subjective workload ratings. These results imply that in-game metrics may qualify for a real-time adaptation of a game-based learning environment. [ABSTRACT FROM AUTHOR]

Inclusion of game elements in learning environments to increase motivation and learning outcome is becoming increasingly popular. However, underlying mechanisms of game-based learning have not been studied sufficiently yet. In the present study, we investigated effects of game-based learning environments on a neurofunctional level. In particular, 59 healthy adults completed a game-based version (including game elements such as a narrative and virtual incentives) as well as a non-game-based version of a number line estimation task, to improve fractional knowledge, while their brain activity was monitored using near-infrared spectroscopy. Behavioral performance was comparable across the two versions, although there was a tendency that less errors were made in the game-based version. However, subjective user experience differed significantly between versions. Participants rated the game-based version as more attractive, novel, and stimulating but less efficient than the non-game-based version. Additionally, positive affect was reported to be higher while engaging in the game-based as compared to the non-game-based task version. Corroborating these user reports, we identified increased brain activation in areas associated with emotion and reward processing while playing the game-based version, which might be driven by rewarding elements of the game-based version. Moreover, frontal areas associated with attention were also more activated in the game-based version of the task. Hence, we observed converging evidence on a user experience and neurofunctional level indicating that the game-based version was more rewarding as well as emotionally and attentionally engaging. These results underscore the potential of game-based learning environments to promote more efficient learning by means of attention and reward up-tuning. [ABSTRACT FROM AUTHOR]

Gaming may not primarily be associated with the elderly part of the population, but senior gamers represent a growing proportion. Evaluating the applicability of educational games across the lifespan is therefore crucial to better understand potential requirements in different domains and age groups. The current study applied a math learning game to participants from 19 to 79 years of age. We examined age-related differences along three domains: cognition, as measured by in-game performance, basic player experience with the game, and general player attitudes towards technology. Analyses of performance metrics related to speed clearly reflected an age-related decline, well in line with known effects from cognitive ageing. In contrast, errormetrics were associated with educational background. At the player experience level, however, we found no differences across the lifespan. All participants rated the game equally (positive). Furthermore, our results showed that attitudes towards technology only differed occasionally, for instance, senior participants seemed to be more technologically interested. Taken together, scoring systems as well as other in-game metrics based on performance, especially related to speed, should be adapted appropriately to player's age. Finally, elderly players' experience with the game and overall attitudes towards technology appeared comparable to other younger age groups. [ABSTRACT FROM AUTHOR]

Misinformation and fake news are severe threats to society. The role of critical reading skills is crucial in the battle against misinformation. Despite the promising results of game-based interventions to mitigate the effects of misinformation, the corpus of research on games supporting critical reading skills needs an overview. Therefore, a systematic literature review was conducted to analyze how games have been used to tackle misinformation and reveal game design trends. A total of 15 papers eventually met the defined inclusion criteria and were analyzed. The review revealed that the use of games in critical reading education had emerged recently and focused mainly on fake news. Most games were grounded on inoculation theory and consequently designed to expose players to weakened doses of the misinformation manipulation techniques to build resistance against them. So far, the games have been studied mainly in informal settings and with adult participants. The median sample size was 196, and the median playing time was 15 min across the studies reported in the papers. Although all the reviewed papers reported positive outcomes, the game-based learning research on the critical reading domain is not yet mature enough to generalize findings. [ABSTRACT FROM AUTHOR]

Developmental dyslexia is one of the most frequent learning disorders and affects 4-10% of the German population. The learning disorder affects educational, personal, and social development of children in a negative way. We examine three different approaches to treat learning disorders. That is, therapeutic, computer-based, and digital game-based interventions. We reflect on the advantages and disadvantages of these approaches that have been shown to be supportive for dyslexic primary-school children. Our literature review shows that there is a lack of digital game-based interventions for the treatment of spelling disorders. To fill this gap, we propose such a mobile serious game which uses evidence-based trainings and introduces novel features in order to help dyslexic children to improve their reading and spelling performance. We propose an intervention to train awareness of syllable stress and explore the innovative use of mouth motor activities and embodied trainings. To conclude, we suggest that, in addition to traditional approaches, digital-game based approaches should be used supplementary to (re-) engage and motivate learners. [ABSTRACT FROM AUTHOR]

As a cognitive ability computational thinking describes a specific way of algorithmic reasoning building on concepts and processes derived from computer programming/coding. Recently, computational thinking was argued to be a fundamental and educationally relevant 21st century skill that should be fostered already in childhood. Accordingly, we developed three life-size board games - Crabs & Turtles: A Series of Computational Adventures - aimed at providing an unplugged and low-threshold introduction to computational thinking. In particular, the games aimed at introducing basic coding concepts and computational thinking processes to 8 to 9-year-old primary school children. In the current study, we first describe the design of the games in detail to explicate the development process and allow for reproducibility. We then report on a first empirical evaluation of feasibility and user experience of our educational board games in a twophase approach. We conducted quantitative analyses of player experience and qualitative feedback of adult student participants (Phase 1) and a sample of gamification experts and teachers (Phase 2). We examined users’ game experience with an adult population to ensure the game’s appropriateness. Results indicated overall positive game experience for all three games. Future studies would be desirable, which should evaluate player experience and learning outcomes in the primary target population of children. [ABSTRACT FROM AUTHOR]

There is accumulating evidence that engagement with digital math games can improve students' learning. However, in what way individual variables critical to game-based learning influence students' learning success still needs to be explored. Therefore, the aim of this study was to investigate the influence of students' acceptance of game-based learning (e.g., perceived usefulness of a game as a learning tool, perceived ease of use), as well as their intrinsic motivation for math (e.g., their math interest, self-efficacy) and quality of playing experience on learning success in a game-based rational number training. Additionally, we investigated the influence of the former variables on quality of playing experience (operationalized as perceived flow). Results indicated that the game-based training was effective. Moreover, students' learning success and their quality of playing experience were predicted by measures of acceptance of game-based learning and intrinsic motivation for math. These findings indicated that learning success in game-based learning approaches are driven by students' acceptance of the game as a learning tool and content-specific intrinsic motivation. Therefore, the present work is of particular interest to researchers, developers, and practitioners working with game-based learning environments. [ABSTRACT FROM AUTHOR]

Spiritual practice, such as prayer or meditation, is associated with focusing attention on internal states and self-awareness processes. As these cognitive control mechanisms presumably are also important for neurofeedback (NF), we investigated whether people who pray frequently (N = 20) show a higher ability of self-control over their own brain activity compared to a control group of individuals who rarely pray (N = 20). All participants underwent structural magnetic resonance imaging (MRI) and one session of sensorimotor rhythm (SMR, 12-15 Hz) based NF training. Individuals who reported a high frequency of prayer showed improved NF performance compared to individuals who reported a low frequency of prayer. The individual ability to control one's own brain activity was related to volumetric aspects of the brain. In the low frequency of prayer group, gray matter volumes in the right insula and inferior frontal gyrus were positively associated with NF performance, supporting prior findings that more general self-control networks are involved in successful NF learning. In contrast, participants who prayed regularly showed a negative association between gray matter volume in the left medial orbitofrontal cortex (Brodmann's area (BA) 10) and NF performance. Due to their regular spiritual practice, they might have been more skillful in gating incoming information provided by the NF system and avoiding task-irrelevant thoughts. [ABSTRACT FROM AUTHOR]

In everyday life we quickly build and maintain associations between stimuli and behavioral responses. This is governed by rules of varying complexity and past studies have identified an underlying fronto-parietal network involved in cognitive control processes. However, there is only limited knowledge about the neuronal activations during more natural settings like game playing. We thus assessed whether near-infrared spectroscopy recordings can reflect different demands on cognitive control during a simple game playing task. Sixteen healthy participants had to catch falling objects by pressing computer keys. These objects either fell randomly (RANDOM task), according to a known stimulus-response mapping applied by players (APPLY task) or according to a stimulus-response mapping that had to be learned (LEARN task). We found an increased change of oxygenated and deoxygenated hemoglobin during LEARN covering broad areas over right frontal, central and parietal cortex. Opposed to this, hemoglobin changes were less pronounced for RANDOM and APPLY. Along with the findings that fewer objects were caught during LEARN but stimulus-response mappings were successfully identified, we attribute the higher activations to an increased cognitive load when extracting an unknown mapping. This study therefore demonstrates a neuronal marker of cognitive control during gaming revealed by near-infrared spectroscopy recordings. [ABSTRACT FROM AUTHOR]

The utilization of game elements in a non-game context is currently used in a vast range of different domains. However, research on game elements' effects in cognitive tasks is still sparse. Thus, in this study we implemented three game elements, namely, progress bar, level indicator, and a thematic setting, in a working memory training task. We evaluated the impact of game elements on user performance and perceived state of flow when compared to a conventional version of the task. Participants interacting with game elements showed higher scores in the working memory training task than participants from a control group who completed the working memory training task without the game elements. Moreover, game elements facilitated the individuals' performance closer to their maximum working memory capacity. Finally, the perceived flow did not differ between the two groups, which indicates that game elements can induce better performance without changing the perception of being "in the zone", that is without an increase in anxiety or boredom. This empirical study indicates that certain game elements can improve the performance and efficiency in a working memory task by increasing users' ability and willingness to train at their optimal performance level. [ABSTRACT FROM AUTHOR]

The challenge of delivering personalized learning experiences is often increased by the size of classrooms and online learning communities. Serious Games (SGs) are increasingly recognized for their potential to improve education. However, the issues related to their development and their level of effectiveness can be seriously affected when brought too rapidly into growing online learning communities. Deeper insights into how the students are playing is needed to deliver a comprehensive and intelligent learning framework that facilitates better understanding of learners' knowledge, effective assessment of their progress and continuous evaluation and optimization of the environments in which they learn. This paper discusses current SOTA and aims to explore the potential in the use of games and learning analytics towards scaffolding and supporting teaching and learning experience. The conceptual model (ecosystem and architecture) discussed in this paper aims to highlight the key considerations that may advance the current state of learning analytics, adaptive learning and SGs, by leveraging SGs as an suitable medium for gathering data and performing adaptations. [ABSTRACT FROM AUTHOR]

Learning to modulate one's own brain activity is the fundament of neurofeedback (NF) applications. Besides the neural networks directly involved in the generation and modulation of the neurophysiological parameter being specifically trained, more general determinants of NF efficacy such as self-referential processes and cognitive control have been frequently disregarded. Nonetheless, deeper insight into these cognitive mechanisms and their neuronal underpinnings sheds light on various open NF related questions concerning individual differences, brain-computer interface (BCI) illiteracy as well as a more general model of NF learning. In this context, we investigated the neuronal substrate of these more general regulatory mechanisms that are engaged when participants believe that they are receiving NF. Twenty healthy participants (40-63 years, 10 female) performed a sham NF paradigm during fMRI scanning. All participants were novices to NF-experiments and were instructed to voluntarily modulate their own brain activity based on a visual display of moving color bars. However, the bar depicted a recording and not the actual brain activity of participants. Reports collected at the end of the experiment indicate that participants were unaware of the sham feedback. In comparison to a passive watching condition, bilateral insula, anterior cingulate cortex and supplementary motor and dorsomedial and lateral prefrontal areas were activated when participants actively tried to control the bar. In contrast, when merely watching moving bars, increased activation in the left angular gyrus was observed. These results show that the intention to control a moving bar is sufficient to engage a broad frontoparietal and cingulo-opercular network involved in cognitive control. The results of the present study indicate that tasks such as those generally employed in NF training recruit the neuronal correlates of cognitive control even when only sham NF is presented. [ABSTRACT FROM AUTHOR]

Using neurofeedback (NF), individuals can learn to modulate their own brain activity, in most cases electroencephalographic (EEG) rhythms. Although a large body of literature reports positive effects of NF training on behavior and cognitive functions, there are hardly any reports on how participants can successfully learn to gain control over their own brain activity. About one third of people fail to gain significant control over their brain signals even after repeated training sessions. The reasons for this failure are still largely unknown. In this context, we investigated the effects of spontaneous mental strategies on NF performance. Twenty healthy participants performed either a SMR (sensorimotor rhythm, 12-15 Hz) based or a Gamma (40-43 Hz) based NF training over ten sessions. After the first and the last training session, they were asked to write down which mental strategy they have used for self-regulating their EEG. After the first session, all participants reported the use of various types of mental strategies such as visual strategies, concentration, or relaxation. After the last NF training session, four participants of the SMR group reported to employ no specific strategy. These four participants showed linear improvements in NF performance over the ten training sessions. In contrast, participants still reporting the use of specific mental strategies in the last NF session showed no changes in SMR based NF performance over the ten sessions. This effect could not be observed in the Gamma group. The Gamma group showed no prominent changes in Gamma power over the NF training sessions, regardless of the mental strategies used. These results indicate that successful SMR based NF performance is associated with implicit learning mechanisms. Participants stating vivid reports on strategies to control their SMR probably overload cognitive resources, which might be counterproductive in terms of increasing SMR power. [ABSTRACT FROM AUTHOR]

Technological progress in computer science and neuroimaging has resulted in many approaches that aim to detect brain states and translate them to an external output. Studies from the field of brain-computer interfaces (BCI) and neurofeedback (NF) have validated the coupling between brain signals and computer devices; however a cognitive model of the processes involved remains elusive. Psychological parameters usually play a moderate role in predicting the performance of BCI and NF users. The concept of a locus of control, i.e., whether one's own action is determined by internal or external causes, may help to unravel inter-individual performance capacities. Here, we present data from 20 healthy participants who performed a feedback task based on EEG recordings of the sensorimotor rhythm (SMR). One group of 10 participants underwent 10 training sessions where the amplitude of the SMR was coupled to a vertical feedback bar. The other group of ten participants participated in the same task but relied on sham feedback. Our analysis revealed that a locus of control score focusing on control beliefs with regard to technology negatively correlated with the power of SMR. These preliminary results suggest that participants whose confidence in control over technical devices is high might consume additional cognitive resources. This higher effort in turn may interfere with brain states of relaxation as reflected in the SMR. As a consequence, one way to improve control over brain signals in NF paradigms may be to explicitly instruct users not to force mastery but instead to aim at a state of effortless relaxation. [ABSTRACT FROM AUTHOR]