Turning points : meaning-making and its association with psychological well-being, academic achievement and parental relationship quality among adolescents

There is substantial research linking meaning-making ability and psychological well-being in the context of turning point events. Still, an important research question remains: whether individuals who report meaning-making and psychological well-being were already better adjusted psychologically, prior to the experience of their turning point. In addition, the role of meaning-making on academic achievement and parental relationship quality has received little empirical attention although both variables have been shown to be positively associated with positive adjustment among adolescents. This longitudinal study examined differences in psychological well-being, academic achievement, and parental relationship quality between adolescents who reported meaning-making (lessons or insights) and those who reported no meaning-making within their turning point narratives. Participants were 803 (52% female) grade 12 adolescents, 26% (N = 209) of whom had reported experiencing a turning point. Participants also completed measures on the outcome variables (psychological well-being, academic achievement, and parental relationship quality) 3 years prior, when they were in grade 9. MANOVA results indicated that, of the participants who experienced a turning point, adolescents who reported meaning-making reported significantly higher psychological wellbeing and more positive parental relationship quality than adolescents who reported no meaningmaking. Importantly, these two groups did not differ on the outcome variables prior to their experience of a turning point event when they were in grade 9. Academic achievement scores did not differ significantly between adolescents who reported meaning-making and those who reported no meaning-making. These findings highlight the importance of meaning-making in relation to positive adjustment subsequent to a turning point among adolescents.

Effects of Instruction on Walking and Turning Performance in Individuals with Parkinson's Disease

Parkinson’s disease (PD) is characterized by postural instability and gait impairment. Verbal instructions can reduce postural sway and improve gait performance in PD. For gait, this evidence is limited to unobstructed straight-path walking. As falls in PD often occur when turning, the purpose of this thesis was to determine if instructions can benefit turning performance in this population. Twelve individuals with PD performed two walking tasks (normal walking, walking with a 180 degree turn) under four instruction conditions (no instruction, take big steps, make larger trunk movements, focus on end and/or turn point). Task duration and trunk yaw and roll sway were calculated. In general, the results demonstrated that the instruction to take big steps improved performance for both tasks compared to providing no instruction or externally based instruction. These results suggest that instructions related to step amplitude may facilitate walking and turning performance in PD.

Stressors and turning points in high school and dropout : a stress process, life course framework

High school dropout is commonly seen as the result of a long-term process of failure and disengagement. As useful as it is, this view has obscured the heterogeneity of pathways leading to dropout. Research suggests, for instance, that some students leave school not as a result of protracted difficulties but in response to situations that emerge late in their schooling careers, such as health problems or severe peer victimization. Conversely, others with a history of early difficulties persevere when their circumstances improve during high school. Thus, an adequate understanding of why and when students drop out requires a consideration of both long-term vulnerabilities and proximal disruptive events and contingencies. The goal of this review is to integrate long-term and immediate determinants of dropout by proposing a stress process, life course model of dropout. This model is also helpful for understanding how the determinants of dropout vary across socioeconomic conditions and geographical and historical contexts.

Permutation entropy based real-time chatter detection using audio signal in turning process

Machine tool chatter is an unfavorable phenomenon during metal cutting, which results in heavy vibration of cutting tool. With increase in depth of cut, the cutting regime changes from chatter-free cutting to one with chatter. In this paper, we propose the use of permutation entropy (PE), a conceptually simple and computationally fast measurement to detect the onset of chatter from the time series using sound signal recorded with a unidirectional microphone. PE can efficiently distinguish the regular and complex nature of any signal and extract information about the dynamics of the process by indicating sudden change in its value. Under situations where the data sets are huge and there is no time for preprocessing and fine-tuning, PE can effectively detect dynamical changes of the system. This makes PE an ideal choice for online detection of chatter, which is not possible with other conventional nonlinear methods. In the present study, the variation of PE under two cutting conditions is analyzed. Abrupt variation in the value of PE with increase in depth of cut indicates the onset of chatter vibrations. The results are verified using frequency spectra of the signals and the nonlinear measure, normalized coarse-grained information rate (NCIR).

Recurrence Quantification Analysis of System Signals for Detecting Tool and Chatter in Turning

In this thesis, the applications of the recurrence quantification analysis in metal cutting operation in a lathe, with specific objective to detect tool wear and chatter, are presented.This study is based on the discovery that process dynamics in a lathe is low dimensional chaotic. It implies that the machine dynamics is controllable using principles of chaos theory. This understanding is to revolutionize the feature extraction methodologies used in condition monitoring systems as conventional linear methods or models are incapable of capturing the critical and strange behaviors associated with the metal cutting process.As sensor based approaches provide an automated and cost effective way to monitor and control, an efficient feature extraction methodology based on nonlinear time series analysis is much more demanding. The task here is more complex when the information has to be deduced solely from sensor signals since traditional methods do not address the issue of how to treat noise present in real-world processes and its non-stationarity. In an effort to get over these two issues to the maximum possible, this thesis adopts the recurrence quantification analysis methodology in the study since this feature extraction technique is found to be robust against noise and stationarity in the signals.The work consists of two different sets of experiments in a lathe; set-I and set-2. The experiment, set-I, study the influence of tool wear on the RQA variables whereas the set-2 is carried out to identify the sensitive RQA variables to machine tool chatter followed by its validation in actual cutting. To obtain the bounds of the spectrum of the significant RQA variable values, in set-i, a fresh tool and a worn tool are used for cutting. The first part of the set-2 experiments uses a stepped shaft in order to create chatter at a known location. And the second part uses a conical section having a uniform taper along the axis for creating chatter to onset at some distance from the smaller end by gradually increasing the depth of cut while keeping the spindle speed and feed rate constant.The study concludes by revealing the dependence of certain RQA variables; percent determinism, percent recurrence and entropy, to tool wear and chatter unambiguously. The performances of the results establish this methodology to be viable for detection of tool wear and chatter in metal cutting operation in a lathe. The key reason is that the dynamics of the system under study have been nonlinear and the recurrence quantification analysis can characterize them adequately.This work establishes that principles and practice of machining can be considerably benefited and advanced from using nonlinear dynamics and chaos theory.

Creating Questions Using Turning Point

This 7-minute video describes the range of question types and shows you how to create and test them.

Using Turning Point to create zapper questions that assess confidence levels in the answers given

This 5-minute video describes how you can assess how confident your students were with their answer choices so you can adapt your teaching appropriately.

Using the Turning Point Showbar during zapper quizzes

This 7-minute video describes how Turning Point's Showbar can be used to manage questions during a presentation and includes useful techniques such as peer instruction and data slicing.

Using Turning Point to Analyse Data from a Zapper Session

This short video shows how you can save the date at the end of a Turning Point quiz, then view that data as an Excel spreadsheet.

Using the Turning Point Participant Monitor During Zapper Quizzes

This 4-minute video describes how to use the Turning Point Participant Monitor to review the performance of the whole group and individual students during a lecture.

Turning Point zapper test of moment by moment voting

This short 3 min video shows how Camtasia Studio can be used to record the audio of a lecture alongside the moment-by-moment votes recorded using Turning Point.

Turning Point (zappers) quick guide (Windows 7)

This single page PowerPoint can be printed out and provides brief instructions on how to use zappers ina Windows 7 teaching space.

Using Participant Lists with Turning Point Zappers

This 11-minute video shows you how to create a participant list that will enable you to record the scores of individual students as they answer a series of questions in a Tuning Point presentation. It shows you how those students can register their handsets in-class, so that you can distribute the handsets quickly at the start of the session.

Fixing Issues with Turning Point (Zapper) Presentations

This video offers advice about problems that might be encountered when running a presentation that was developed in Turning Point 4.0 on a computer with version 4.2 installed. NOTE: With the upgrade to version 4.3, Turning Point now automatically fixes these issues when you load an older presentation. Hurrah!

Using a PresenterCard with Turning Point zappers

This 2-minute video shows you how to pair a PresenterCard so you can remotely control your presentation.