Narrative and Behavioral Engagement as Indicators for the Effectiveness of Intentionally Designed Virtual Simulations of Interpersonal Interactions.

Interventions involving simulated interactions aimed at mimicking real situations must be engaging to maximize their effectiveness. This study aimed to assess how a sample of middle school girls displayed behavioral and cognitive indicators of engagement when interacting with avatars representing game characters that were controlled by a human digital puppeteer. The simulation game, DRAMA-RAMA, is a component of an intervention intended to reduce at-risk girls' sexual and other risky behaviors. We used verbal/nonverbal behaviors and surveys to assess the game players' cognitive and behavioral involvement (N = 131). Participants perceived the game scenarios and interactions as realistic and the characters as similar to people in real life. Participants' behavior indicated their involvement and interest in interacting with the game characters. Finally, participants tended to be appropriate but not effective when attempting to advise/support the characters. These findings have implications for assessing successful operationalization of communication designs in interactive virtual learning environments.

Cognitive, affective, and behavioral engagement with science news predicted by the use of accessibility strategies in science-minded and general audiences.

Numerous studies have explored internal factors such as cultural values and acquired knowledge accounting for how people engage with science. However, it remains unclear how external factors embedded in science texts relate to audience engagement. A content analysis of 298 text-based popular science news articles and their following 5852 reader comments was conducted in two Israeli audiences, science-minded and general readers, to explore how the accessibility strategies embedded in these articles relate to cognitive, affective, and behavioral engagement. Findings indicated similar patterns of relationship between accessibility strategies and engagement expressions for both audiences; however, the relationships were more pronounced for general readers compared to science-minded readers. Using jargon and a narrative writing style increased the odds of positive emotions in reader comments, whereas addressing socio-scientific issues increased the odds of cognitive expressions. These results may contribute to a fuller understanding of ways to drive meaningful public engagement.

Towards the implications of positive teacher interpersonal behaviors for Spanish learners' academic engagement: Voices from Chinese SFL learners.

With the advent of positive psychology in the area of language education, more focus has been placed on the consequences of favorable teacher communication behaviors in language classes. Nonetheless, the function of language instructors' interpersonal behaviors in raising learners' engagement is somehow unknown. Furthermore, to the best of our knowledge, no research study has been carried out in Spanish language classes to explore the function of teacher communication behaviors in learners' engagement. To fill this lacuna, the current inquiry looked into the role of teachers' positive interpersonal factors in Chinese SFL learners' behavioral, cognitive, and emotional engagement. For this purpose, a random sample of 32 SFL learners was chosen to participate in our online interview sessions. The answers of SFL learners to the interview questions were thematically analyzed via MAXQDA software. The thematic analysis findings pointed to the value of teacher communication behaviors in improving SFL learners' engagement. The analysis outcomes also demonstrated the potential of 11 positive interpersonal behaviors (rapport, care, clarity, credibility, confirmation, immediacy, closeness, praise, feedback, respect, and stroke) in increasing Spanish language learners' academic engagement. The practical implications that may emerge from the present study's outcomes are finally discussed.

The impact of virtual reality on student engagement in the classroom-a critical review of the literature.

Objective: The purpose of this review is to identify the impact of virtual reality (VR) technology on student engagement, specifically cognitive engagement, behavioral engagement, and affective engagement. Methods: A comprehensive search of databases such as Google, Scopus, and Elsevier was conducted to identify English-language articles related to VR and classroom engagement for the period from 2014 to 2023. After systematic screening, 33 articles were finally reviewed. Results: The use of VR in the classroom is expected to improve student engagement and learning outcomes, and is particularly effective for students with learning disabilities. However, introducing VR into middle school education poses several challenges, including difficulties in the education system to keep up with VR developments, increased demands on students' digital literacy, and insufficient proficiency of teachers in using VR. Conclusion: To effectively utilize VR to increase student engagement, we advocate for educational policymakers to provide training and technical support to teachers to ensure that they can fully master and integrate VR to increase student engagement and instructional effectiveness.

Relationship of cortisol and alpha amylase to behavioral engagement under three levels of negative evaluative psychosocial stress.

Despite that behavioral engagement is integral to mental health, surprisingly little is known about the relationship of psychosocial stress and behavioral engagement. The current study developed an observer-rated measure of behavioral engagement for lab-based stress inductions, then examined its relationship with stress-responsive biomarkers and affect. Young adults (N = 109, Mage=19.4, SDage=1.59, 57% female) completed one of three Trier Social Stress Test (TSST) conditions-non-stressful Control, Intermediate, or an Explicit Negative Evaluative-and at four timepoints provided self-reports of positive and negative affect and saliva samples for cortisol and salivary alpha-amylase (sAA). Trained study staff (experimenters and TSST judges) completed a programmed questionnaire measure of the novel behavioral engagement measure after the participants completed the TSST. Psychometric review and EFA of the behavioral engagement items resulted in a final 8-item measure with good interrater reliability and well-fitting 2-factor structure, capturing Persistence (4 items; loadings=.41-.89), and Quality of Speech (4 items; loadings=.53-.92). Results indicated that the relationship of positive affect growth and biomarker level to behavioral engagement varied substantially as a function of context: As negative evaluation level strengthened, behavioral engagement became more tightly associated with relative preservation of positive affect. For both cortisol and sAA, the relationship between biomarker levels (but not reactivity) and behavioral engagement varied significantly by condition, such that under milder conditions and elevated levels of biomarkers, engagement was greater, but under Explicit Negative Evaluation, and elevated levels of biomarkers, engagement was less, suggesting behavioral withdrawal. Findings reveal the critical role of context-especially negative evaluation-in the relationship of biomarkers with behavioral engagement.

Quantitative Indices of Student Social Media Engagement in Tertiary Education: A Systematic Review and a Taxonomy.

Recent studies have evaluated the use of social media as learning aids in tertiary education. Emerging research in this area has focused primarily on non-quantitative approaches to student social media engagement. However, quantitative engagement outcomes may be extracted from student posts, comments, likes, and views. The goal of the present review was to provide a research-informed taxonomy of quantitative and behavior-based metrics of student social media engagement. We selected 75 empirical studies comprising a pooled sample of 11,605 tertiary education students. Included studies used social media for educational purposes and reported student social media engagement outcomes (source databases: PsycInfo and ERIC). We used independent raters and stringent interrater agreement and data extraction processes to mitigate bias during the screening of references. Over half of the studies (52%, n = 39) utilized ad hoc interviews and surveys to estimate student social media engagement, whereas thirty-three studies (44%) used some form of quantitative analysis of engagement. Based on this literature, we present a selection of count-based, time-based, and text-analysis metrics. The proposed taxonomy of engagement metrics resulting provides the methodological basis for the analysis of social media behavior in educational settings, particularly, for human operant and behavioral education studies. Implications for future research are discussed. Supplementary Information: The online version contains supplementary material available at 10.1007/s10864-023-09516-6.

EFL learners' engagement in online learning context: development and validation of potential measurement inventory.

Research has proved learner engagement is a strong predictor of academic achievement, especially in the online learning environment. The lack of any reliable and valid instrument to measure this construct in the context of online education made the researchers of the current study develop and validate a potential measurement inventory to assess EFL learners' engagement in the online learning environment. For this purpose, a comprehensive review of the related literature and careful investigation of the existing instruments were carried out to find the theoretical constructs for learner engagement which led to the development of a 56-item Likert scale questionnaire. The newly developed questionnaire was piloted with 560 female and male EFL university students selected based on nonprobability convenience sampling. The results of the factor analysis indicated the reduction of items to 48 loaded on three main components, namely behavioral engagement (15 items), emotional engagement (16 items), and cognitive engagement (17 items). The results also revealed that the newly developed questionnaire enjoyed a reliability index of 0.925. The findings of the current study will undoubtedly help teaching practitioners assess EFL learners' engagement in the online learning context and make principled decisions when it comes to learners' engagement.

A longitudinal examination of WeChat usage intensity, behavioral engagement, and cross-cultural adjustment among international students in China.

WeChat is a highly popular social media in China and many other Asian countries, but little is known about its effectiveness in facilitating international students' academic and social functioning. Hence, the present study aimed to examine causal or reciprocal relationships among WeChat usage intensity, behavioral engagement in academic learning (BE-academic) and in local social activities (BE-social), and academic and social adjustment. To this end, we employed a three-wave longitudinal design among international students in China with data collected at three times (i.e., Time 1 data collected in December of 2020, Time 2 data collected in March of 2021, and Time 3 data collected in June of 2021). Results based on the cross-lagged panel analyses indicated that in academic domains, WeChat usage intensity positively predicted longitudinal changes in BE-academic and academic adjustment positively predicted longitudinal changes in WeChat usage intensity across Time 1 and Time 3. In social domains, WeChat usage intensity positively predicted longitudinal changes in BE-social and social adjustment, and BE-social positively predicted longitudinal changes in social adjustment from Time 1 to Time 2. Additionally, the reverse effects of social adjustment on WeChat usage intensity were revealed across Time 1 and Time 3.

An Experimental Platform for Real-Time Students Engagement Measurements from Video in STEM Classrooms.

The ability to measure students' engagement in an educational setting may facilitate timely intervention in both the learning and the teaching process in a variety of classroom settings. In this paper, a real-time automatic student engagement measure is proposed through investigating two of the main components of engagement: the behavioral engagement and the emotional engagement. A biometric sensor network (BSN) consisting of web cameras, a wall-mounted camera and a high-performance computing machine was designed to capture students' head poses, eye gaze, body movements, and facial emotions. These low-level features are used to train an AI-based model to estimate the behavioral and emotional engagement in the class environment. A set of experiments was conducted to compare the proposed technology with the state-of-the-art frameworks. The proposed framework shows better accuracy in estimating both behavioral and emotional engagement. In addition, it offers superior flexibility to work in any educational environment. Further, this approach allows a quantitative comparison of teaching methods.

The impact of students' mathematical attitudes on intentions, behavioral engagement, and mathematical performance in the China's context.

Referring to the theory of planned behavior (TPB), this study intends to investigate the impact of students' mathematical attitude determinants (i.e., attitude, subjective norms, and perceived behavioral control) on intentions, behavioral engagement, and mathematical performance. The data collected online in China's context and the research hypotheses are developed and then tested through structural equation modeling. It is found that attitude and subjective norms have effects, directly or indirectly, on intentions, behavioral engagement, and mathematical performance. In addition, the intentions have a significant effect on behavioral engagement, and behavioral engagement does likewise on mathematical performance. It has also been accepted that perceived behavioral control is not directly related to intentions but largely to behavior and indirectly to mathematical performance through behavior alone. In conclusion, this study's findings will contribute to the current literature on mathematical performance and will also inform the policymakers of the proposal on students' mathematics belief and attitude interventions as a means to improving students' mathematical performance.

Exploring the effect of use contexts on user engagement toward tourism short video platforms.

With tourism short video platforms' increasingly fierce competition, retaining existing users and improving engagement has taken on greater theoretical and practical significance. Based on the self-system model of motivational development, this study, involving an empirical analysis of 252 user data samples, establishes a research model to determine how the use contexts affect users' psychological process and finally lead to behavioral engagement. In particular, four use contexts of tourism short video platforms are proposed-namely, information acquisition, leisure and entertainment, attention obtainment, and social interaction. Different use contexts differ in the degree to which they satisfy users' three psychological needs, thus influence their attitudinal engagement and behavioral engagement. The research results can provide theoretical and practical references on how to improve user engagement toward tourism short video platforms.

The impact of self-compassionate mindfulness on online learning behavioral engagement of international students during COVID-19: Positive emotion and self-improvement motivation as mediators.

Focusing on the domain of self-compassion, this study explored the promotion mechanism of online learning behavioral engagement (OLBE) of international students in China under COVID-19. Positive emotion and self-improvement motivation were selected as mediators. Participants were 606 international students from 8 countries who were studying online in their own countries due to the international travel restriction of COVID-19. Results showed positive emotion and self-improvement motivation completely mediated self-compassionate mindfulness (SCM) and OLBE of international students. Positive emotion and self-improvement partially mediated SCM and OLBE of international students respectively. Students with higher SCM engage with online learning more in that they possess more positive emotion and self-improvement motivation. This study suggested that SCM may facilitate OLBE via positive emotion and effective self-improvement motivation.

Adaptation of the 5-choice serial reaction time task to measure engagement and motivation for alcohol in mice.

Alcohol use disorder (AUD) is related to excessive binge alcohol consumption, and there is considerable interest in associated factors that promote intake. AUD has many behavioral facets that enhance inflexibility toward alcohol consumption, including impulsivity, motivation, and attention. Thus, it is important to understand how these factors might promote responding for alcohol and can change after protracted alcohol intake. Previous studies have explored such behavioral factors using responding for sugar in the 5-Choice Serial Reaction Time Task (5-CSRTT), which allows careful separation of impulsivity, attention, and motivation. Importantly, our studies uniquely focus on using alcohol as the reward throughout training and testing sessions, which is critical for beginning to answer central questions relating to behavioral engagement for alcohol. Alcohol preference and consumption in male C57BL/6 mice were determined from the first 9 sessions of 2-h alcohol drinking which were interspersed among 5-CSRTT training. Interestingly, alcohol preference but not consumption level significantly predicted 5-CSRTT responding for alcohol. In contrast, responding for strawberry milk was not related to alcohol preference. Moreover, high-preference (HP) mice made more correct alcohol-directed responses than low-preference (LP) during the first half of each session and had more longer reward latencies in the second half, with no differences when performing for strawberry milk, suggesting that HP motivation for alcohol may reflect "front-loading." Mice were then exposed to an Intermittent Access to alcohol paradigm and retested in 5-CSRTT. While both HP and LP mice increased 5-CSRTT responding for alcohol, but not strawberry milk, LP performance rose to HP levels, with a greater change in correct and premature responding in LP versus HP. Overall, this study provides three significant findings: (1) alcohol was a suitable reward in the 5-CSRTT, allowing dissection of impulsivity, attention, and motivation in relation to alcohol drinking, (2) alcohol preference was a more sensitive indicator of mouse 5-CSRTT performance than consumption, and (3) intermittent alcohol drinking promoted behavioral engagement with alcohol, especially for individuals with less initial engagement.

Creating behavioral engagement among higher education's prospective students through social media marketing activities: The role of brand equity as mediator.

In today's competitive environment, higher education needs to find an effective way to convey its brand to prospective students. Given that the "digital native" (Gen Z) is becoming college aged, social media marketing has become an essential approach to engage with them. However, blasting out recruiting content on its social feeds just isn't working. By developing the higher education adjusted SMMA, structural equation modeling was adopted to figure out its effects on higher education brand equity and prospective student behavioral engagement, quantitatively. 356 3rd grade high school students in Indonesia were employed to assess the structural model. According to the findings of this study, SMMA has a considerable influence on brand equity and behavioral engagement, and brand equity has a noteworthy effect on behavioral engagement. Moreover, brand equity was found as a statistically meaningful mediator in the relationship between SMMA and behavioral engagement. The outcome advised the higher education need to organize its social in fun and interactive ways by leveraging higher education's SMMA as a pillar or benchmark on arranging social media posts and content. Yet, the content and posts should still need prioritize institution awareness and the good image of a higher education. The theoretical and managerial implication were discussed further.

The effect of three violent videogame engagement states on aggressive behavior: A partial least squares structural equation modeling approach.

Debate on violent games and their effect on aggressive behavior remains inconclusive. This study aims to study the predicting role of cognitive, affective, and behavioral engagement states in violent videogames on aggressive behavior, which remains nebulous to date. We visited gaming zones and administered the study survey to collect data from violent videogame users. We collected 208 valid responses that were further analyzed. The present study used SmartPLS (3.3.3) software to perform partial least squares structural equation modeling (PLS-SEM) analysis in two stages. In the first stage, the measurement model assessment reported that cognitive, affective, behavioral, and aggressive behavior proved to be reliable reflective-formative composite constructs. Whereas, the second phase illustrated that cognitive engagement in violent videogames fails to impact aggressive behavior. The other two engagement states (affective and behavioral) in violent games showed a positive impact on aggressive behavior. Our study contributes to aggressive behavior literature by understanding how violent videogame engagement states impact aggressive behavior, which is crucial to recognize aggression so that steps can be taken toward addressing it. This study also contributes methodologically by utilizing the hierarchical component model (HCM) approach to estimate, specify, and validate the hierarchical structure of higher-order constructs (i.e., consumer violent videogame engagement dimensions (cognitive, affective, and behavioral) and aggressive behavior) as reflective-formative composite models.

Longitudinal relations between behavioral engagement and academic achievement: The moderating roles of socio-economic status and early achievement.

This study investigated developmental trajectories of observationally coded engagement across the early elementary years and whether these trajectories were associated with children's academic achievement. Furthermore, we evaluated if these relations varied as a function of children's family socio-economic status and early reading and math skills. Data were collected from 301 children who were studied from kindergarten (Mage = 65.74 months; 49% boys) to 2nd grade. Children's behavioral engagement was observed in kindergarten, 1st, and 2nd grade. Reading and math skills were assessed via standardized tests in kindergarten and 2nd grade. Growth mixture models identified two classes of behavioral engagement: most children (87.0%) displayed relatively high behavioral engagement in the fall of kindergarten and decreased significantly across time (referred to below as high-decreasing class), and other children (13.0%) exhibited moderate behavioral engagement in the fall of kindergarten that was stable across time (referred to below as moderate-stable class). After controlling for academic skills in kindergarten and demographic variables (i.e., child age, sex, ethnicity, and family socio-economic status), children in the high-decreasing class displayed higher reading skills, but not math skills, than children in the moderate-stable class. Additional analyses revealed that differences in reading skills between the two classes were present only for children from low socio-economic status families or for children low in kindergarten reading skills. The findings suggest that economically or academically at-risk students might benefit more than their peers from high behavioral engagement.

Do medium and Context Matter when learning from multiple complementary Digital texts and videos?

Students more than ever learn from online sources, such as digital texts or videos. Little research has compared processes and outcomes across these two mediums. Using a between-participants experimental design, this study investigated whether medium (texts vs. videos) and context (less authoritative vs. more authoritative), independently and in concert, affected students' engagement, integrated understanding, and calibration. The two mediums presented identical information on the topic of social media, which was distributed across two complementary texts in the text condition and across two complementary videos in the video condition. In the less authoritative context, the two information sources (texts or videos) were posted by a friend on Facebook; in the more authoritative context, the same information sources (texts or videos) were posted by a professor on Moodle. Results showed a main effect of medium on behavioral engagement in terms of processing time, as students used longer time watching the two videos than reading the two digital texts. No other main medium or context effects were statistically significant; nor were there any interaction effects of medium with context on any of the outcome variables. The findings are discussed in light of the alternative hypotheses that guided the study and the directions it suggests for future research. Supplementary Information: The online version contains supplementary material available at 10.1007/s11251-022-09591-8.

Interplay between peer experiences and classroom behavioral engagement throughout early childhood: Intraindividual and interindividual differences.

Developmental theorists emphasize the existence of reciprocal influences between children's peer experiences and their early classroom behavioral engagement. For school practitioners who must identify relevant intervention targets to design educational activities, estimating precisely how aspects of peer experiences and behavioral engagement jointly unfold over time is of key interest. In addition, it is important to differentiate between intraindividual and interindividual effects. Nevertheless, evidence of these reciprocal links or intra- and interindividual effects during the early stages of schooling is scarce. This study (N = 638 children) used a Latent Curve Model with Structured Residuals (LCM-SR) to disentangle interindividual differences (stable trait-like) from intraindividual changes (dynamic state-like) in the associations between peer experiences (social acceptance and friendship involvement) and children's classroom behavioral engagement from the beginning of kindergarten through Grade 2. Results indicated that the links between children's peer experiences and their behavioral engagement reflect their steady tendency to be well adjusted in the classroom as well as with peers, rather than highlighting reciprocal associations between these factors over time. However, results also underscored that children who showed high engagement tended to be concurrently more accepted by peers in the same school year in Grade 1 or Grade 2, beyond stable aspects of engagement and social acceptance. These findings support the need to develop educational practices to improve social acceptance as a way to foster behavioral engagement. They also indicate that behavioral engagement should be considered a concrete intervention target for school practitioners seeking to improve children's social acceptance during the school year.

Role of Social and App-Related Factors in Behavioral Engagement With mHealth for Improved Well-being Among Chronically Ill Patients: Scenario-Based Survey Study.

BACKGROUND: The last decade has seen a considerable increase in the number of mobile health (mHealth) apps in everyday life. These mHealth apps have the potential to significantly improve the well-being of chronically ill patients. However, behavioral engagement with mHealth apps remains low. OBJECTIVE: The aim of this study was to describe the behavioral engagement of chronically ill patients with mHealth apps by investigating (1) how it is affected by social factors (ie, physician recommendation) and app-related factors (ie, app integration) and (2) how it affects patient well-being. This study also considers the moderating effect of attachment to traditional health care and the mobile app experience among patients. METHODS: We carried out a scenario-based survey study of chronically ill patients (N=521). A Bayesian structural equation modeling with mediation and moderation analysis was conducted in MPlus. RESULTS: Both physician recommendations for mHealth app use and app integration have positive effects on the behavioral engagement of chronically ill patients with mHealth apps. Higher behavioral engagement positively affects the hedonic well-being (extent of pleasure) and the eudaemonic well-being (extent of self-efficacy) of chronically ill patients. Mobile app experience, however, positively moderates the relationship between app integration and behavioral engagement, whereas patient attachment to traditional care does not moderate the relationship between physician recommendation and behavioral engagement. Taken together, the proportion of variance explained (R²) equals 21% for behavioral engagement and 52.8% and 62.2% for hedonic and eudaemonic well-being, respectively, thereby providing support for the strong influence of app integration and physician recommendation via the mediation of the patients' behavioral engagement on both patients' hedonic and eudaemonic well-being. CONCLUSIONS: Physician recommendation and app integration enable behavioral engagement and promote well-being among chronically ill patients. It is thus important to take social and app-related factors into consideration during and after the development of mHealth apps.

Adolescents' credibility justifications when evaluating online texts.

Research has shown that students differ in their abilities to evaluate the credibility of online texts, and, in general, many perform poorly on online evaluation tasks. This study extended current knowledge by examining students' abilities to justify the credibility of online texts from different perspectives, thus providing a more nuanced understanding of students' credibility evaluation ability. We examined how upper secondary school students (N = 73; aged 16 to 17) evaluated author expertise, author intention, the publication venue, and the quality of evidence when reading four texts about the effects of sugar consumption in a web-based environment. Additionally, we examined how students' prior topic knowledge, Internet-specific justification beliefs, and time on task were associated with their credibility justifications. Students evaluated author expertise, author intention, the venue, and the quality of evidence for each text on a six-point scale and provided written justifications for their evaluations. While students' credibility evaluations were quite accurate, their credibility justifications lacked sophistication. Inter-individual differences were considerable, however. Regression analysis revealed that time on task was a statistically significant unique predictor of students' credibility justifications. Instructional implications are discussed.