Showing papers on "Student engagement published in 2014"

How video production affects student engagement: an empirical study of MOOC videos

Abstract: Videos are a widely-used kind of resource for online learning. This paper presents an empirical study of how video production decisions affect student engagement in online educational videos. To our knowledge, ours is the largest-scale study of video engagement to date, using data from 6.9 million video watching sessions across four courses on the edX MOOC platform. We measure engagement by how long students are watching each video, and whether they attempt to answer post-video assessment problems.Our main findings are that shorter videos are much more engaging, that informal talking-head videos are more engaging, that Khan-style tablet drawings are more engaging, that even high-quality pre-recorded classroom lectures might not make for engaging online videos, and that students engage differently with lecture and tutorial videos.Based upon these quantitative findings and qualitative insights from interviews with edX staff, we developed a set of recommendations to help instructors and video producers take better advantage of the online video format. Finally, to enable researchers to reproduce and build upon our findings, we have made our anonymized video watching data set and analysis scripts public. To our knowledge, ours is one of the first public data sets on MOOC resource usage.

The ICAP Framework: Linking Cognitive Engagement to Active Learning Outcomes.

Abstract: This article describes the ICAP framework that defines cognitive engagement activities on the basis of students’ overt behaviors and proposes that engagement behaviors can be categorized and differentiated into one of four modes: Interactive, Constructive, Active, and Passive. The ICAP hypothesis predicts that as students become more engaged with the learning materials, from passive to active to constructive to interactive, their learning will increase. We suggest possible knowledge-change processes that support the ICAP hypothesis and address the limitations and caveats of the hypothesis. In addition, empirical validation for the hypothesis is provided by examining laboratory and classroom studies that focus on three specific engagement activities: note taking, concept mapping and self-explaining. We also consider how ICAP can be used as a tool for explaining discrepant findings, dictate the proper choice of a control condition, and evaluate students’ outputs. Finally, we briefly compare ICAP to existing...

Handbook of positive psychology in schools

Abstract: Understanding the factors that encourage young people to become active agents in their own learning is critical. Positive psychology is one lens that can be used to investigate the factors that facilitate a student's sense of agency and active school engagement. In the second edition of this groundbreaking handbook, the editors draw together the latest work on the field, identifying major issues and providing a wealth of descriptive knowledge from renowned contributors. Major topics include: the ways that positive emotions, traits, and institutions promote school achievement and healthy social and emotional development; how specific positive-psychological constructs relate to students and schools and support the delivery of school-based services; and the application of positive psychology to educational policy making. With thirteen new chapters, this edition provides a long-needed centerpiece around which the field can continue to grow, incorporating a new focus on international applications of the field.

The Faces of Engagement: Automatic Recognition of Student Engagementfrom Facial Expressions

Abstract: Student engagement is a key concept in contemporary education, where it is valued as a goal in its own right. In this paper we explore approaches for automatic recognition of engagement from students’ facial expressions. We studied whether human observers can reliably judge engagement from the face; analyzed the signals observers use to make these judgments; and automated the process using machine learning. We found that human observers reliably agree when discriminating low versus high degrees of engagement (Cohen’s $\kappa = 0.96$ ). When fine discrimination is required (four distinct levels) the reliability decreases, but is still quite high ( $\kappa = 0.56$ ). Furthermore, we found that engagement labels of 10-second video clips can be reliably predicted from the average labels of their constituent frames (Pearson $r=0.85$ ), suggesting that static expressions contain the bulk of the information used by observers. We used machine learning to develop automatic engagement detectors and found that for binary classification (e.g., high engagement versus low engagement), automated engagement detectors perform with comparable accuracy to humans. Finally, we show that both human and automatic engagement judgments correlate with task performance. In our experiment, student post-test performance was predicted with comparable accuracy from engagement labels ( $r=0.47$ ) as from pre-test scores ( $r=0.44$ ).

National standards & grade-level outcomes for K-12 physical education

Abstract: Focused on physical literacy and measurable outcomes, empowering physical educators to help students meet the Common Core standards, and coming from a recently renamed but longstanding organization intent on shaping a standard of excellence in physical education, "National Standards & Grade-Level Outcomes for K-12 Physical Education" is all that and much more. Created by SHAPE America -- Society of Health and Physical Educators (formerly AAHPERD) -- this text unveils the new National Standards for K-12 Physical Education. The standards and text have been retooled to support students' holistic development. This is the third iteration of the National Standards for K-12 Physical Education, and this latest version features two prominent changes: - The term "physical literacy" underpins the standards. It encompasses the three domains of physical education (psychomotor, cognitive, and affective) and considers not only physical competence and knowledge but also attitudes, motivation, and the social and psychological skills needed for participation. - Grade-level outcomes support the national physical education standards. These measurable outcomes are organized by level (elementary, middle, and high school) and by standard. They provide a bridge between the new standards and K-12 physical education curriculum development and make it easy for teachers to assess and track student progress across grades, resulting in physically literate students. In developing the grade-level outcomes, the authors focus on motor skill competency, student engagement and intrinsic motivation, instructional climate, gender differences, lifetime activity approach, and physical activity. All outcomes are written to align with the standards and with the intent of fostering lifelong physical activity. "National Standards & Grade-Level Outcomes for K-12 Physical Education" presents the standards and outcomes in ways that will help preservice teachers and current practitioners plan curricula, units, lessons, and tasks. The text also - empowers physical educators to help students meet the Common Core standards; - allows teachers to see the new standards and the scope and sequence for outcomes for all grade levels at a glance in a colorful, easy-to-read format; and - provides administrators, parents, and policy makers with a framework for understanding what students should know and be able to do as a result of their physical education instruction. The result is a text that teachers can confidently use in creating and enhancing high-quality programs that prepare students to be physically literate and active their whole lives.

Engaging Students In STEM Education

Abstract: With the "flattening" of the global economy in the 21st century, the teaching of Science, Technology, Engineering, and Mathematics (STEM) has taken on new importance as economic competition has become truly global. STEM education has evolved into a meta-discipline, an integrated effort that removes the traditional barriers between these subjects, and instead focuses on innovation and the applied process of designing solutions to complex contextual problems using current tools and technologies. Engaging students in high quality STEM education requires programs to include rigorous curriculum, instruction, and assessment, integrate technology and engineering into the science and mathematics curriculum, and also promote scientific inquiry and the engineering design process. All students must be a part of the STEM vision, and all teachers must be provided with the proper professional development opportunities preparing them to guide all their students toward acquiring STEM literacy. By focusing on student engagement, educators from institutions of higher education and K-12 schools can work together to develop pedagogical models that provide rigorous, well-rounded education and outstanding STEM instruction. This paper defines the necessary attributes of STEM programs designed to engage all students, describes a number of model programs focused on student engagement, and discusses assessments in progress.

Where is Research on Massive Open Online Courses Headed? A Data Analysis of the MOOC Research Initiative

Abstract: This paper reports on the results of an analysis of the research proposals submitted to the MOOC Research Initiative (MRI) funded by the Gates Foundation and administered by Athabasca University. The goal of MRI was to mobilize researchers to engage into critical interrogation of MOOCs. The submissions – 266 in Phase 1, out of which 78 was recommended for resubmission in the extended form in Phase 2, and finally, 28 funded – were analyzed by applying conventional and automated content analysis methods as well as citation network analysis methods. The results revealed the main research themes that could form a framework of the future MOOC research: i) student engagement and learning success, ii) MOOC design and curriculum, iii) self-regulated learning and social learning, iv) social network analysis and networked learning, and v) motivation, attitude and success criteria. The theme of social learning received the greatest interest and had the highest success in attracting funding. The submissions that planned on using learning analytics methods were more successful. The use of mixed methods was by far the most popular. Design-based research methods were also suggested commonly, but the questions about their applicability arose regarding the feasibility to perform multiple iterations in the MOOC context and rather a limited focus on technological support for interventions. The submissions were dominated by the researchers from the field of education (75% of the accepted proposals). Not only was this a possible cause of a complete lack of success of the educational technology innovation theme, but it could be a worrying sign of the fragmentation in the research community and the need to increased efforts towards enhancing interdisciplinarity.

Measuring school climate in high schools: a focus on safety, engagement, and the environment

Abstract: BACKGROUND: School climate has been linked to multiple student behavioral, academic, health, and social-emotional outcomes. The US Department of Education (USDOE) developed a 3-factor model of school climate comprised of safety, engagement, and environment. This article examines the factor structure and measurement invariance of the USDOE model. METHODS: Drawing upon 2 consecutive waves of data from over 25,000 high school students (46% minority), a series of exploratory and confirmatory factor analyses examined the fit of the Maryland Safe and Supportive Schools Climate Survey with the USDOE model. RESULTS: The results indicated adequate model fit with the theorized 3-factor model of school climate, which included 13 subdomains: safety (perceived safety, bullying and aggression, and drug use); engagement (connection to teachers, student connectedness, academic engagement, school connectedness, equity, and parent engagement); environment (rules and consequences, physical comfort, and support, disorder). We also found consistent measurement invariance with regard to student sex, grade level, and ethnicity. School-level interclass correlation coefficients ranged from 0.04 to.10 for the scales. CONCLUSIONS: Findings supported the USDOE 3-factor model of school climate and suggest measurement invariance and high internal consistency of the 3 scales and 13 subdomains. These results suggest the 56-item measure may be a potentially efficient, yet comprehensive measure of school climate. Language: en

The Relationship Between Student Engagement and Academic Performance: Is It a Myth or Reality?

Abstract: The author examined the relationship between student engagement and academic performance, using U.S. data of the Program for International Student Assessment 2000. The sample comprised 3,268 fifteen-year-old students from 121 U.S. schools. Multilevel analysis showed that behavioral engagement (defined as effort and perseverance in learning) and emotional engagement (defined as sense of belonging) significantly predicted reading performance. The effect of emotional engagement on reading performance was partially mediated through behavioral engagement. Findings from the present study suggest that educators, policy makers, and the research community need to pay more attention to student engagement and ways to enhance it.

Students' Classroom Engagement Produces Longitudinal Changes in Classroom Motivation.

Abstract: Changes in motivation anticipate changes in engagement, but the present study tested the reciprocal relation that changes in students’ classroom engagement lead to corresponding longitudinal changes in their classroom motivation. Achievement scores and multiple measures of students’ course-specific motivation (psychological need satisfaction, self-efficacy, and mastery goals) and engagement (behavioral, emotional, cognitive, and agentic aspects) were collected from 313 (213 females, 100 males) Korean high school students using a 3-wave longitudinal research design. Two key findings emerged from a multilevel structural equation modeling analysis: (a) Students’ initial classroom engagement predicted corresponding longitudinal changes in all 3 midsemester motivations, and (b) early semester changes in engagement predicted corresponding longitudinal changes in end-of-semester psychological need satisfaction and self-efficacy, but not mastery goals. Changes in engagement also predicted course achievement. These findings reveal the underappreciated benefits that high-quality classroom engagement contributes to the understanding, prediction, and potential facilitation of constructive changes in students’ in-course motivation.

Staying Engaged: Knowledge and Research Needs in Student Engagement

Abstract: In this article, we review knowledge about student engagement and look ahead to the future of study in this area. We begin by describing how researchers in the field define and study student engagement. In particular, we describe the levels, contexts, and dimensions that constitute the measurement of engagement, summarize the contexts that shape engagement and the outcomes that result from it, and articulate person-centered approaches for analyzing engagement. We conclude by addressing limitations to the research and providing recommendations for study. Specifically, we point to the importance of incorporating more work on how learning-related emotions, personality characteristics, prior learning experiences, shared values across contexts, and engagement in nonacademic activities influence individual differences in student engagement. We also stress the need to improve our understanding of the nuances involved in developing engagement over time by incorporating more extensive longitudinal analyses, intervention trials, research on affective neuroscience, and interactions among levels and dimensions of engagement.

Culturally Responsive Teaching and The Brain: Promoting Authentic Engagement and Rigor Among Culturally and Linguistically Diverse Students

Abstract: Foreward by Yvette Jackson Acknowledgements About the Author Introduction Part I: Building Awareness and Understanding 1. Climbing Out of the Gap 2. What's Culture Go to Do with It? 3. This is Your Brain on Culture 4. Preparing to Be a Culturally Responsive Practitioner Part II: Building Learning Partnerships 5. Building the Foundation of Learning Partnership 6. Establishing Alliance in the Learning Partnership 7. Shifting Academic Mindset in the Learning Partnership Part III: Building Intellective Capacity 8. Information Processing to Build Intellective Capacity 9. Creating a Culturally Responsive Community for Learning 10. Epilogue References

Visualizing patterns of student engagement and performance in MOOCs

Abstract: In the last five years, the world has seen a remarkable level of interest in Massive Open Online Courses, or MOOCs. A consistent message from universities participating in MOOC delivery is their eagerness to understand students' online learning processes. This paper reports on an exploratory investigation of students' learning processes in two MOOCs which have different curriculum and assessment designs. When viewed through the lens of common MOOC learning analytics, the high level of initial student interest and, ultimately, the high level of attrition, makes these two courses appear very similar to each other, and to MOOCs in general. With the goal of developing a greater understanding of students' patterns of learning behavior in these courses, we investigated alternative learning analytic approaches and visual representations of the output of these analyses. Using these approaches we were able to meaningfully classify student types and visualize patterns of student engagement which were previously unclear. The findings from this research contribute to the educational community's understanding of students' engagement and performance in MOOCs, and also provide the broader learning analytics community with suggestions of new ways to approach learning analytic data analysis and visualization.

Schoolwork engagement and burnout among Finnish high school students and young adults: Profiles, progressions, and educational outcomes.

Abstract: Applying a person-centered approach, the primary aim of this study was to examine what profiles of schoolwork engagement and burnout (i.e., exhaustion, cynicism, inadequacy) can be identified in high school (N = 979) and among the same participants in young adulthood (ages ranging from 17 to 25). We also examined gender differences, group differences in academic and socioemotional functioning and long-term educational outcomes, and temporal stability in the group memberships. Latent profile analysis identified 4 groups of students in high school. Both engaged (44%) and engaged-exhausted (28%) students were engaged and doing well in school, although engaged-exhausted students were more stressed and preoccupied with possible failures. Cynical (14%) and burned-out (14%) students were less engaged, valued school less, and had lower academic achievement. Cynical students, however, were less stressed, exhausted, and depressed than burned-out students. Six years later, engaged students were more likely than predicted by chance to attend university. In young adulthood, 4 similar groups were identified. Configural frequency analysis indicated that it was typical for engaged students to stay in the engaged group and for engaged-exhausted students to move into a more disengaged group. The results on broadband stability from adolescence to young adulthood showed that 60% of the youth manifested stable engaged and 7% stable disengaged patterns, whereas 16% displayed emergent engagement and 17% emergent disengagement patterns. Overall, the findings demonstrate that adolescence is not a uniform time for either school engagement and well-being or disengagement and distress.

The Influence of Teacher and Peer Relationships on Students' Classroom Engagement and Everyday Motivational Resilience

Abstract: The quality of students’ relationships with teachers and peers is a fundamental substrate for the development of academic engagement and achievement. This chapter offers teachers and researchers a ...

Understanding and Measuring Student Engagement in School: The Results of an International Study from 12 Countries.

Abstract: The objective of the present study was to develop a scale that is appropriate for use internationally to measure affective, behavioral, and cognitive dimensions of student engagement. Psychometric properties of this scale were examined with data of 3,420 students (7th, 8th, and 9th grade) from 12 countries (Austria, Canada, China, Cyprus, Estonia, Greece, Malta, Portugal, Romania, South Korea, the United Kingdom, and the United States). The intraclass correlation of the full-scale scores of student engagement between countries revealed that it was appropriate to aggregate the data from the 12 countries for further analyses. Coefficient alphas revealed good internal consistency. Test-retest reliability coefficients were also acceptable. Confirmatory factor analyses indicated that the data fit well to a second-order model with affective, behavioral, and cognitive engagement as the first-order factors and student engagement as the second-order factor. The results support the use of this scale to measure student engagement as a metaconstruct. Furthermore, the significant correlations of the scale with instructional practices, teacher support, peer support, parent support, emotions, academic performance, and school conduct indicated good concurrent validity of the scale. Considerations and implications regarding the international use of this student engagement in school measure are discussed.

Twitter for teaching: Can social media be used to enhance the process of learning?

Abstract: Can social media be used to enhance the process of learning by students in higher education? Social media have become widely adopted by students in their personal lives. However, the application of social media to teaching and learning remains to be fully explored. In this study, the use of the social media tool Twitter for teaching was considered. Undergraduate students in Business and Management (n=252) were encouraged to use Twitter for communicating with their tutor and each other during a 12-week course. Their involvement was evaluated using a survey considering amount of Twitter usage and students' attitudes and experiences. The data were analysed using factor analyses, which revealed a single usage construct and three attitudinal factors. Three findings emerged. Firstly, a positive correlation was found between amount of Twitter usage and student engagement in university-associated activities including organising their social lives and sharing information. Secondly, course-related tweeting was not related to interpersonal relationships between students and their tutor. Thirdly, Twitter usage did not impact class attendance. The results are salient for educational practitioners wishing to introduce social media into their teaching. © 2013 British Educational Research Association.

Support, belonging, motivation, and engagement in the college classroom: a mixed method study

Abstract: This explanatory sequential mixed methods study examined how belonging perceptions, academic motivation, and engagement might mediate the relationship between academic contextual characteristics and achievement using structural equation modeling and qualitative follow-up interviews with college students from a large, Midwestern university. In the first, quantitative phase, two hypothesized models of student belonging and motivation were tested. In line with the Self-System Model of Classroom Support for Motivation (Connell and Wellborn, in: Gunnar and Sroufe (eds.) Minnesota Symposium on Child Psychology: Self-processes and Development, 1991), Model 1 hypothesized student belonging and motivation to be directly predicted by supportive classroom environment perceptions, and to directly predict engagement, which was hypothesized to predict achievement. Model 2 elaborated on the traditional self-system model and hypothesized student belonging to mediate the relationship between supportive classroom environment perceptions and student motivation. Quantitative findings revealed support for Model 2. Supportive classroom environment perceptions predicted students’ belonging beliefs, which in turn predicted students’ motivation, engagement, and achievement in the course. The second, follow-up qualitative phase suggested ways in which contextual characteristics might influence student belonging beliefs in the classroom. Taken together, the quantitative and qualitative data illustrate the influential role of classroom contextual characteristics on student outcomes, as well as the role student belonging plays in college student motivation and success.

The effectiveness of digital storytelling in the classrooms: a comprehensive study

Abstract: In recent years the use of new technologies in educational systems has increased worldwide as digital cameras, personal computers, scanners, and easy-to-use software have become available to educators to harness the digital world. The impact of new technologies in educational contexts has been mostly positive as new technologies have given educators the opportunity to enhance their knowledge, skills, and therefore enhance the standard of education. Researchers have found that student engagement, achievement and motivation are enhanced through integration of such technologies. However, education systems still face many challenges: one of these challenges is how to enhance student engagement to provide better educational outcomes. It has become increasingly important to use innovative pedagogical models to engage learners. Digital storytelling is one of the innovative pedagogical approaches that can engage students in deep and meaningful learning. This research project aimed to create a constructivist learning environment with digital storytelling. The research investigated the pedagogical aspects of digital storytelling and the impact of digital storytelling on student learning when teachers and students use digital stories. A multi-site case study was conducted in one Australian school at primary and secondary levels. In selected classrooms, students and teachers had the opportunity to engage in innovative learning experiences based on digital storytelling. In order to enhance the reliability and validity of the research, multiple methods of data collection and analysis were used. Data was collected with qualitative and quantitative methods. An evaluation rubric was used to collect quantitative data, while interviews and observation were used to collect qualitative data. Data collection was guided by a mixed methods research design in order to evaluate if and how digital storytelling enhances teaching and learning outcomes. The findings from this study suggest that digital storytelling is a powerful tool to integrate instructional messages with learning activities to create more engaging and exciting learning environments. It is a meaningful approach for creating a constructivist learning environment based on novel principles of teaching and learning. Thus, this approach has the potential to enhance student engagement and provide better educational outcomes for learners.

A Multimedia Adaptive Tutoring System for Mathematics that Addresses Cognition, Metacognition and Affect

Abstract: This article describes research results based on multiple years of experimentation and real-world experience with an adaptive tutoring system named Wayang Outpost. The system represents a novel adaptive learning technology that has shown successful outcomes with thousands of students, and provided teachers with valuable information about students’ mathematics performance. We define progress in three areas: improved student cognition, engagement, and affect, and we attribute this improvement to specific components and interventions that are inherently affective, cognitive, and metacognitive in nature. For instance, improved student cognitive outcomes have been measured with pre-post tests and state standardized tests, and achieved due to personalization of content and math fluency training. Improved student engagement was achieved by supporting students’ metacognition and motivation via affective learning companions and progress reports, measured via records of student gaming of the system. Student affect within the tutor was measured through sensors and student self-reports, and supported through affective learning companions and progress reports. Collectively, these studies elucidate a suite of effective strategies to support advanced personalized learning via an intelligent adaptive tutor that can be tailored to the individual needs, emotions, cognitive states, and metacognitive skills of learners.

Student Engagement in Online Learning: What Works and Why

Abstract: Overview WITH PRESSURES TO INCREASE ACCESS to higher education, colleges and universities have focused on increasing the number of online courses and programs offered. Higher education is also being criticized for its retention and graduation rates, and pressure is building to find solutions. To ensure that online learning can help address these problems, professionals dedicated to online learning are under pressure to explore and evaluate strategies for getting students engaged in their online studies. These pressures are the genesis and reason for this monograph. By applying the theories and techniques for student engagement in online learning, instructors and designers of online courses can improve and increase student engagement and help higher education produce graduates who can contribute to their families, communities, and the economy. The theories and research reviewed in this monograph provide important clues as to how to help students learn, stay enrolled, and finish a degree. Engagement techniques may be one key to making online learning productive for the institution but, more importantly, ensuring that students are successful as they pursue a college degree. In fact, achieving student engagement in online courses may be more important than it is in on-campus courses because online students have fewer ways to be engaged with the institution and perhaps greater demands on their time and attention as well. In other

Affect and Engagement in Game-BasedLearning Environments

Abstract: The link between affect and student learning has been the subject of increasing attention in recent years. Affective states such as flow and curiosity tend to have positive correlations with learning while negative states such as boredom and frustration have the opposite effect. Student engagement and motivation have also been shown to be critical in improving learning gains with computer-based learning environments. Consequently, it is a design goal of many computer-based learning environments to encourage positive affect and engagement while students are learning. Game-based learning environments offer significant potential for increasing student engagement and motivation. However, it is unclear how affect and engagement interact with learning in game-based learning environments. This work presents an in-depth analysis of how these phenomena occur in the game-based learning environment, Crystal Island. The findings demonstrate that game-based learning environments can simultaneously support learning and promote positive affect and engagement.

Student Response Systems and Learner Engagement in Large Classes.

Abstract: The use of student response systems is becoming more prevalent in higher level education. Evidence on the effectiveness of this technology can be an important resource for tutors seeking to engage with learners and raise the quality of learning experiences. Student response systems have been found to increase student engagement and participation in the classroom, yet few studies examine why this is so. This research seeks to explore the effects of student response systems on student participation in large classes. The methods used included both quantitative and qualitative data. A pre-test/mid-test/post-test design (quantitative approach) was deployed to examine the effects of a classroom response system on interactivity. Students involved in a final year undergraduate business course took part in investigating the use of student response systems from the student perspective. Qualitative data were collected to identify the strengths and weaknesses of using a classroom response system to enhance classroom ...

Eliciting Engagement in the High School Classroom A Mixed-Methods Examination of Teaching Practices

Abstract: This case study analyzes how and why student engagement differs across 581 classes in one diverse high school. Factor analyses of surveys with 1,132 students suggest three types of engaging teaching practices—connective instruction, academic rigor, and lively teaching. Multilevel regression analyses reveal that connective instruction predicts engagement more than seven times as strongly as academic rigor or lively teaching. Embedded case studies of five classes use interviews and observations to examine how various classes combine connective instruction, academic rigor, and lively teaching and how these practices individually and collectively engage students. Across these analyses, this study introduces a typology for thinking systematically about teaching for engagement.

Influence of polling technologies on student engagement

Abstract: This study compared clicker technology against mobile polling and the Just-in-Time Teaching (JiTT) strategy to investigate how these methods may differently affect students' anxiety, self-efficacy, engagement, academic performance, and attention and relaxation as indicated by brainwave activity. The study utilized a quasi-experimental research design. To assess the differences between the effects of clickers and mobile polling, the study collected data from two courses at a large research university in Taiwan in which 69 students used either clickers or mobile polling. The results showed that mobile polling along with the JiTT strategy and in-class polls reduce graduate students' anxiety, improve student outcomes in an environment comprising both graduate and undergraduate students, and increase students' attention during polling. However, brainwave data revealed that during the polling activities, students' attention in the clicker and mobile polling groups respectively increased and decreased. Students nowadays do not find smartphones a novelty; however, incorporating them into class is still a potentially effective way to increase student attention and provide a direct way for instructors to observe the learning effects of lectures and improve their teaching approach on that basis. Clicker technology and mobile polling with JiTT strategy were compared.Graduate students' anxiety reduced; attention during polling activities increased.Student outcomes in environment with graduate and undergraduate students improved.During polling, clicker polling group's students' attention increased.During polling, mobile polling group's students' attention decreased.