Investigating School Mathematics Performance and Affect

2018 ◽  
pp. 99-114
Author(s):  
Gilah C. Leder
Keyword(s):  
Real Time ◽  
Educational Research ◽  
Mathematics Performance ◽  
School Mathematics ◽  
Self Report ◽  
Observational Methods ◽  
Face To Face ◽  
On Line

In this chapter research relating to school mathematics is used as an instance to critique commonly used methods and instruments employed in educational research to determine performance and single or multiple aspects of affect. Advances in technology that have enabled the adaption of previously used instruments are described. Self-report measures, administered face-to-face and on-line, and real-time and virtual observational methods are discussed in some detail. Illustrative data from specific studies are provided. Interpreting the different measurement outcomes is, it is argued, far from unproblematic. This discussion raises issues relevant to research in a range of paradigms but is particularly pertinent to educational research conducted in the neo-positivist paradigm.

Investigating School Mathematics Performance and Affect

2016 ◽  
pp. 108-123
Author(s):  
Gilah C. Leder
Keyword(s):  
Real Time ◽  
Educational Research ◽  
Mathematics Performance ◽  
School Mathematics ◽  
Self Report ◽  
Observational Methods ◽  
Face To Face ◽  
On Line

In this chapter research relating to school mathematics is used as an instance to critique commonly used methods and instruments employed in educational research to determine performance and single or multiple aspects of affect. Advances in technology that have enabled the adaption of previously used instruments are described. Self-report measures, administered face-to-face and on-line, and real-time and virtual observational methods are discussed in some detail. Illustrative data from specific studies are provided. Interpreting the different measurement outcomes is, it is argued, far from unproblematic. This discussion raises issues relevant to research in a range of paradigms but is particularly pertinent to educational research conducted in the neo-positivist paradigm.

Constructivist Online Learning Environment Survey

2007 ◽  
pp. 299-301 ◽  
Author(s):  
J. Baker
Keyword(s):  
Online Learning ◽  
Online Education ◽  
Learning Environment ◽  
Classroom Environment ◽  
Self Report ◽  
Online Learning Environment ◽  
Online Instructors ◽  
Face To Face ◽  
On Line ◽  
On Line Learning

Understanding the psychosocial classroom environment has been important in both traditional face-to-face courses and online education. Trickett and Moos (1974) pioneered the use of post-course self-report instruments to measure the classroom environment through the Classroom Environment Scale. More recently, Taylor and Maor (2000) developed the Constructivist On-Line Learning Environment Survey (COLLES) to examine the students’ perceptions of online learning environment in light of social constructivist pedagogical principles. The 24-item, Likert-type COLLES instrument is a popular measure for examining online learning environments for a least two reasons. First, it measures the online learning environment along constructivist categories, which makes it in line with the dominant pedagogical philosophy for online instruction. Second, the COLLES instrument is freely included in the Survey Module of Moodle, the most popular open source course management system available. This makes it particularly convenient for online instructors to use COLLES in their teaching and research.

Adaptive Signal Analysis and Interpretation for Real-time Intelligent Patient Monitoring

1994 ◽  
Vol 33 (01) ◽  
pp. 60-63 ◽  
Author(s):  
E. J. Manders ◽  
D. P. Lindstrom ◽  
B. M. Dawant
Keyword(s):  
Computer Architecture ◽  
Real Time ◽  
Data Abstraction ◽  
Monitoring Strategy ◽  
Intelligent Monitoring ◽  
Patient Status ◽  
On Line ◽  
Main Components ◽  
And Control ◽  
Adaptive Signal

Abstract:On-line intelligent monitoring, diagnosis, and control of dynamic systems such as patients in intensive care units necessitates the context-dependent acquisition, processing, analysis, and interpretation of large amounts of possibly noisy and incomplete data. The dynamic nature of the process also requires a continuous evaluation and adaptation of the monitoring strategy to respond to changes both in the monitored patient and in the monitoring equipment. Moreover, real-time constraints may imply data losses, the importance of which has to be minimized. This paper presents a computer architecture designed to accomplish these tasks. Its main components are a model and a data abstraction module. The model provides the system with a monitoring context related to the patient status. The data abstraction module relies on that information to adapt the monitoring strategy and provide the model with the necessary information. This paper focuses on the data abstraction module and its interaction with the model.

A Study on Learners’ Readiness and Perceptions of the Implementation of Blended Learning in UiTM Kedah

2019 ◽  
Vol 3 (2) ◽  
pp. 41
Author(s):  
Robekhah Harun ◽  
Zetty Harisha Harun ◽  
Laura Christ Dass
Keyword(s):  
Blended Learning ◽  
Successful Implementation ◽  
Learning Approaches ◽  
Learner Readiness ◽  
Learning And Teaching ◽  
Face To Face ◽  
Online Assessments ◽  
Research Findings ◽  
On Line ◽  
Learning Institutions

The increase in student enrolment and the need  to cater to students of diverse backgrounds have led to the adoption of blended learning in many higher learning institutions. Blended learning, which allows both face to face interaction and on-line delivery, has been adopted into many curricula. One such institution is University Technology MARA which is slowly introducing features of blended learning in its course syllabus beginning with practice to online assessments. However, to ensure successful implementation of blended learning as part of the curricula, there are several aspects for consideration such as learner and teacher readiness for blended learning. This paper examines issues regarding the use of blended learning as a delivery method at UiTM Kedah . The discussion in this paper focuses on learner’ readiness and perceptions of the blended learning environment. The data collected for this study are responses from learners to a questionnaire survey. The research findings form the basis for recommendations for the development of learning and teaching practices using blended learning approaches to enhance learners' learning experiences.  

Application of the Non-adoption, Abandonment, Scale-up, Spread and, Sustainability (NASSS) Framework to evaluate the role of technology in the Pathways to Comorbidity Care (PCC) implementation project to improve management of comorbid substance use and mental disorders

2020 ◽  
Author(s):  
MariaGabriela Uribe Guajardo ◽  
Andrew James Baillie ◽  
Eva Louie ◽  
Vicki Giannopoulos ◽  
Katie Wood ◽  
...  
Keyword(s):  
Substance Use ◽  
Clinical Supervision ◽  
Mental Health Problems ◽  
Scale Up ◽  
Structured Interview ◽  
Barriers And Facilitators ◽  
Self Report ◽  
Evidence Based ◽  
Face To Face ◽  
Drug And Alcohol

Abstract (250 words)In substance use treatment settings, there is a high prevalence of comorbid mental health problems. Yet an integrated approach for managing comorbidity, implementation of evidence-based intervention in drug and alcohol settings remains problematic. Technology can help the adoption of evidence-based practice and successfully implement effective treatment health care pathways. This study sought to examine aspects of electronic resources utilisation (barriers and facilitators) by clinicians participating in the PCC training. MethodA self-report questionnaire and a semi-structured interview was designed to measure overall satisfaction with the PCC portal and e-resources available throughout the 9-month intervention for participating clinicians. An adapted version of the ‘Non-adoption, Abandonment, Scale-up, Spread and, Sustainability’ (NASSS) framework was used to facilitate discussion in regards to the study findings. ResultsA total of 20 clinicians from drug and alcohol services responded to all the measures. Facilitators of portal use included: i. clinician acceptance of the PCC portal; ii. guidance from the clinical supervisor or clinical champion that encouraged the use of e-resources. Some of the barriers included: i. complexity of the illness (condition), ii. clinicians’ preference (adopter system) for face-to-face resources and training modes (e.g. clinical supervision, clinical champion workshops), and iii. lack of face-to-face training on how to use the portal (technology and organisation).ConclusionBased on the NASSS framework, we were able to identify several barriers and facilitators including such as the complexity of the illness, lack of face-to-face training and clinician preference for training mediums. Recommendations include ongoing consultation of clinicians to assist in the development of tailored e-health resources and offering in-house training on how to operate and effectively utilise these resources.

Nitrogen Removal in a Real-Time Controlled Sequencing Batch Membrane Bioreactor

2010 ◽  
Vol 5 (3) ◽  
Author(s):  
Cheng-Nan Chang ◽  
Li-Ling Lee ◽  
Han-Hsien Huang ◽  
Ying-Chih Chiu
Keyword(s):  
Real Time ◽  
Nitrogen Removal ◽  
Membrane Bioreactor ◽  
Synthetic Wastewater ◽  
Real Time Control ◽  
Time Control ◽  
Cake Layer ◽  
On Line ◽  
Solid Liquid ◽  
Solid Liquid Separation

The performance of a real-time controlled Sequencing Batch Membrane Bioreactor (SBMBR) for removing organic matter and nitrogen from synthetic wastewater has been investigated in this study under two specific ammonia loadings of 0.0086 and 0.0045g NH4+-N gVSS−1 day−1. Laboratory results indicate that both COD and DOC removal are greater than 97.5% (w/w) but the major benefit of using membrane for solid-liquid separation is that the effluent can be decanted through the membrane while aeration is continued during the draw stage. With a continued aeration, the sludge cake layer is prevented from forming thus alleviating the membrane clogging problem in addition to significant nitrification activities observed in the draw stage. With adequate aeration in the oxic stage, the nitrogen removal efficiency exceeding 99% can be achieved with the SBMBR system. Furthermore, the SBMBR system has also been used to study the occurrence of ammonia valley and nitrate knee that can be used for real-time control of the biological process. Under appropriate ammonia loading rates, applicable ammonia valley and nitrate knee are detected. The real-time control of the SBMBR can be performed based on on-line ORP and pH measurements.

Modifications of rainfall runoff and decision finding models for on-line simulation in real time control

1999 ◽  
Vol 39 (9) ◽  
pp. 201-207
Author(s):  
Andreas Cassar ◽  
Hans-Reinhard Verworn
Keyword(s):  
Real Time ◽  
Urban Drainage ◽  
Rain Event ◽  
Rainfall Runoff ◽  
Real Time Control ◽  
Design Storm ◽  
Time Control ◽  
Timing Data ◽  
On Line ◽  
Rainfall Runoff Model

Most of the existing rainfall runoff models for urban drainage systems have been designed for off-line calculations. With a design storm or a historical rain event and the model system the rainfall runoff processes are simulated, the faster the better. Since very recently, hydrodynamic models have been considered to be much too slow for real time applications. However, with the computing power of today - and even more so of tomorrow - very complex and detailed models may be run on-line and in real time. While the algorithms basically remain the same as for off-line simulations, problems concerning timing, data management and inter process communication have to be identified and solved. This paper describes the upgrading of the existing hydrodynamic rainfall runoff model HYSTEM/EXTRAN and the decision finding model INTL for real time performance, their implementation on a network of UNIX stations and the experiences from running them within an urban drainage real time control project. The main focus is not on what the models do but how they are put into action and made to run smoothly embedded in all the processes necessary in operational real time control.

Why Ecological Momentary Assessment Surveys Go Incomplete?: When It Happens and How It Impacts Data

2020 ◽  
Author(s):  
Yu-Hsiang Wu ◽  
Jingjing Xu ◽  
Elizabeth Stangl ◽  
Shareka Pentony ◽  
Dhruv Vyas ◽  
...  
Keyword(s):  
Real Time ◽  
Self Report ◽  
Data Logging ◽  
Time Data ◽  
Real Time Data ◽  
Report Data ◽  
Self Report Data ◽  
Ecological Momentary ◽  
The Impact ◽  
Momentary Assessment

Abstract Background Ecological momentary assessment (EMA) often requires respondents to complete surveys in the moment to report real-time experiences. Because EMA may seem disruptive or intrusive, respondents may not complete surveys as directed in certain circumstances. Purpose This article aims to determine the effect of environmental characteristics on the likelihood of instances where respondents do not complete EMA surveys (referred to as survey incompletion), and to estimate the impact of survey incompletion on EMA self-report data. Research Design An observational study. Study Sample Ten adults hearing aid (HA) users. Data Collection and Analysis Experienced, bilateral HA users were recruited and fit with study HAs. The study HAs were equipped with real-time data loggers, an algorithm that logged the data generated by HAs (e.g., overall sound level, environment classification, and feature status including microphone mode and amount of gain reduction). The study HAs were also connected via Bluetooth to a smartphone app, which collected the real-time data logging data as well as presented the participants with EMA surveys about their listening environments and experiences. The participants were sent out to wear the HAs and complete surveys for 1 week. Real-time data logging was triggered when participants completed surveys and when participants ignored or snoozed surveys. Data logging data were used to estimate the effect of environmental characteristics on the likelihood of survey incompletion, and to predict participants' responses to survey questions in the instances of survey incompletion. Results Across the 10 participants, 715 surveys were completed and survey incompletion occurred 228 times. Mixed effects logistic regression models indicated that survey incompletion was more likely to happen in the environments that were less quiet and contained more speech, noise, and machine sounds, and in the environments wherein directional microphones and noise reduction algorithms were enabled. The results of survey response prediction further indicated that the participants could have reported more challenging environments and more listening difficulty in the instances of survey incompletion. However, the difference in the distribution of survey responses between the observed responses and the combined observed and predicted responses was small. Conclusion The present study indicates that EMA survey incompletion occurs systematically. Although survey incompletion could bias EMA self-report data, the impact is likely to be small.

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