Using deliberate mistakes to heighten student attention

Attracting and retaining students’ attention is a concern for educators at every level of education, including those in higher education. Despite compelling evidence that student-centred pedagogies enhance attention, motivation and learning gain, exposition-centred delivery in forms such as lectures persists across higher education. Contemporary research on student attention suggests that student concentration in class begins to wane within 10 minutes; that neither tutorials or lectures tend to engage students effectively; and that the optimum length of a lecture is as little as 30 minutes. Where previous studies of student attention have focussed on the impacts of active listening, flipped classrooms and authentic assessment, the exploratory study reported here sought to determine the impact of a “deliberate mistake strategy” (DMS). The study engaged 103 undergraduate business students who self-assessed their attention span before and after a DMS was employed within their semester-long unit. Analysis of the students’ self-report involved paired sample t-tests and revealed that students’ attention span had increased significantly as the result of their engagement in DMS; there were no significant gendered differences. Cohen’s d revealed a large effect size with students reporting that DMS had helped them to increase their perceived attention span when in class. Amid continued debate about how to engage students and growing realisation that multiple approaches are needed, the findings suggests that the use of a simple strategy such as DMS merits further attention.

Improvement of Student Attention Monitoring Supported by Precision Sensing in Learning Management Systems

A Learning Management Systems (LMS) can benefit from the inclusion Computer-Mediated-Communications (CMC) software for delivering materials. Incorporating CMC tools in virtual classrooms or implementing educational blogs, can be very effective in e-learning platforms. In such student-centered interaction scenarios, it is important to monitor and manage student attention in a precise way to enhance student performance. Sensing with precision through 6G/7G technology allows to include electronic and software devices to produce such monitoring. This chapter contextualizes and describes an abstraction application scenario of sensing and monitoring student attention with high precision in Learning Management System with new communication systems. In that context, technology (e.g. sensors), is used to perform automatic attention monitoring, helping to manage students in e-Learning. Additionally, the document presents a possible scenario which supports intelligent services to the monitoring of student attention during e-learning activities in the context of Smart HEI (Higher Education Institutes).

Effects of context on the neural correlates of attention in a college classroom

Activities that are effective in supporting attention have the potential to increase opportunities for student learning. However, little is known about the impact of instructional contexts on student attention, in part due to limitations in our ability to measure attention in the classroom, typically based on behavioral observation and self-reports. To address this issue, we used portable electroencephalography (EEG) measurements of neural oscillations to evaluate the effects of learning context on student attention. The results suggest that attention, as indexed by lower alpha power as well as higher beta and gamma power, is stronger during student-initiated activities than teacher-initiated activities. EEG data revealed different patterns in student attention as compared to standardized coding of attentional behaviors. We conclude that EEG signals offer a powerful tool for understanding differences in student cognitive states as a function of classroom instruction that are unobservable from behavior alone.

Benefits Of Student Attention in The Implementation Of Learning

Students' attention in learning is one of the factors that influence the success in implementing learning. The implementation of learning is not fully planned, it is evident in the implementation of learning that many students do not focus or pay attention to learning. Poor student attention will be one of the causes of failure in achieving learning objectives. The data analysis prerequisite test was conducted using normality and linearity tests. The hypothesis testing was done using a simple linear regression analysis. The result of research showed that the data of learning and learning achievement was valid, reliable, and distributed normally. Effect of learning attention on the learning achievement i wasindicated by sig(p) < α or 0.000 < 0.05. Learning attention contributed to the learning achievement of Buddhism education by 45%.

Nonverbal Communication of Supervisors in The Mentoring Thesis Process: Perceptions Of English Students

The study examines students' perceptions on the thesis mentoringprocess regarding their nonverbal communication patterns in the English studyprogram, FKIP of Halu Oleo University. The scope and focus are kinesics,proxemics, oculesics, chronemics, paralanguage, and physical appearance.Thisstudy apply a qualitative approach. The data obtained employing interview anddocumentation are then analyzed by Miles and Huberman's theory using reduction,reporting, and verification. The subjects of the study are eight graduated studentsand two students in the mentoring process. The study results shows that the sixtypes of nonverbal which are most likely to be experienced more often andinfluentially are ‘kinesics’, which is like the supervisor's attitude serving thestudents. Other nonverbal types continue to take on roles but are not as influentialas kinesics. This study reveals that the importance of communication is able toincrease student attention and motivation in constructing ideas gained from theirsupervisors when the communication process is going well and vice versa.

Students perception and interest on chemistry: Learning evaluation integrated quizziz media

Interest in learning is a passion or a great desire for something that is closely related to personality, motivation, expression and self-concept, identification, heredity, and external factors. Interest in learning affects the cognitive, affective, and psychomotor aspects of students. In this study, analyzed and interpreted student interest in learning through media-based learning Quizizz and students' perceptions of the media. Based on the analysis and interpretation of the data, indicators of student interest in the media Quizizz increased by 0.818 in the high category, indicators of student attention increased by 0.555 in the medium category, indicators of feelings of pleasure increased by 0.684 in the medium category, and indicators of student involvement increased by 0.599 in the medium category. Also, 76.32% of students thought that Quizizz media were very interesting, 50% thought that Quizizz media were easily applied, 86.84% thought that Quizizz media accommodate students to compete fairly, and 44.74% thought that Quizizz media were practically applied. Thus, students have a good perception of the Quizziz media accompanied by increased interest in learning.

KEEFEKTIFAN PENDEKATAN BEHAVIOR MENGGUNAKAN TEKNIK TOKEN ECONOMY UNTUK MENINGKATKAN ATENSI BELAJAR SISWA KELAS VIII DI SMP N 29 SEMARANG

This study aims (1) to identify and analyze students' attentiveness levels of learning before getting a behavioral approach using token economy techniques, (2) identifying and analyzing learning attentions when getting behavioral approaches using token economy techniques, and (3) analyzing the effectiveness of behavior approaches using token economy techniques in increasing student attention in class VIII at SMP N 29 Semarang. This research is an experimental research with one group pretest-posttest design. Data collection techniques used were psychological scales with a learning attention instrument of 35 items. The population in this study were students of class VIII at SMP N 29 Semarang with a total sample of 5 students who were determined purposively. Data analysis techniques used (1) quantitative descriptive analysis to describe the level of student learning attention, (2) hypothesis testing with Wilcoxon analysis to determine the effect of the behavior approach using token economy techniques. The results showed that the behavioral approach using token economy techniques had an effect on increasing student attention