Learning Behavioral Differences Among Students and Ethical Issues in a University Cloud Classroom System

Author(s):  
Zhi Liu ◽  
Hai Liu ◽  
Hao Zhang ◽  
Sannyuya Liu

In a private learning environment, each learner's interactions with course contents are treasured clues for educators to understand the individual and collective learning process. To provide educators with evidence-based insights, this chapter intends to adopt sequential analysis method to unfold learning behavioral differences among different groups of students (grade, subject, and registration type) in a university cloud classroom system. Experimental results indicate that sophomores undertake more learning tasks than other grades. There are significant differences in task-related and self-monitoring behaviors between liberal arts and science learners. Registered learners have higher participation levels than non-registered ones. Meanwhile, a user study aiming to analyze students' learning feelings indicates that a fraction of students have dishonest behaviors for achieving a good online performance. Finally, this study discusses behavioral ethical issues emerged in cloud classroom, which deserve the attention of educators for regulating and optimizing the online learning process of students.

Author(s):  
James Woodall ◽  
Simon Rowlands

Abstract This book chapter seeks to: (i) explore the role of the settings approach to health promotion and the need for organizational change; (ii) discuss the importance of evidence-based practice and evaluation; (iii) describe some of the ethical issues in practising health promotion; (iv) suggest a means of overcoming the top-down/bottom-up tensions in practice; (v) explore the need for developing partnerships between civil society, NGOs, and private and public sectors; and (vi) outline the skills and competencies of health promoters practising in the 21st century. This chapter has attempted to discuss some challenges in the practice of health promotion, ending on the challenges in terms of the skills required to do health promotion work. Some of these challenges reoccur in the next chapter, particularly when discussing capacity building for health promotion at a societal level rather than the individual level.


Author(s):  
James Woodall ◽  
Simon Rowlands

Abstract This book chapter seeks to: (i) explore the role of the settings approach to health promotion and the need for organizational change; (ii) discuss the importance of evidence-based practice and evaluation; (iii) describe some of the ethical issues in practising health promotion; (iv) suggest a means of overcoming the top-down/bottom-up tensions in practice; (v) explore the need for developing partnerships between civil society, NGOs, and private and public sectors; and (vi) outline the skills and competencies of health promoters practising in the 21st century. This chapter has attempted to discuss some challenges in the practice of health promotion, ending on the challenges in terms of the skills required to do health promotion work. Some of these challenges reoccur in the next chapter, particularly when discussing capacity building for health promotion at a societal level rather than the individual level.


Author(s):  
John C. Norcross ◽  
Thomas P. Hogan ◽  
Gerald P. Koocher ◽  
Lauren A. Maggio

The final core step in evidence-based practice (EBP) is evaluating the effectiveness of the entire process: the E(valuation) in the mnemonic AAA TIE. In the literature, this skill is typically referred to as monitoring, measuring, or auditing clinical performance. This chapter reviews the evaluation of EBP implementation at three levels: the individual practitioner, the program or administrative unit, and the profession as a whole. The chapter then focuses on risk management, liability standards, and ethical issues—matters typically ignored when considering EBPs. The key ethical considerations in EBP revolve around competence, consent, and public statements; all of these are considered according to the American Psychological Association’s ethics code, which is used as an exemplar for the various codes of behavioral health professions.


2020 ◽  
Vol 11 (4) ◽  
pp. 7056-7063
Author(s):  
Vineel P ◽  
Gopala Krishna Alaparthi ◽  
Kalyana Chakravarthy Bairapareddy ◽  
Sampath Kumar Amaravadi

  Evidence-based Practice is defined as usage of current best evidence which is conscientious, explicit and judicious in deciding on the care of the individual. It is one of the vital decision-making processes in the medical profession. Though India is renowned as a center for medical education, there is scarcity regarding the literature on evidence-based practice. The survey aims to identify the prevalence of evidence-based practice among the physical therapists of Mangalore. The study protocol submitted to scientific research committee and Ethical institutional committee, K.M.C. Mangalore Manipal University. On approval, the questionnaire had been distributed among the physical therapists of Mangalore through mails and in the written form. The questionnaire consists of questions divided into eight sections: 1) consent form 2) current practice status; 3) demographic data; 4) behavior; 5) previous knowledge of E.B.P. resources; 6) skills and available resources; 7) Opinions regarding E.B.P.; 8)Perceived barriers regarding E.B.P. The emails were sent through Google forms to all the physical therapists, and hard copies were distributed among the selected physical therapists. The response rate for the emails was 13.1%. The response collected through hard copies was 178, whereas total hard copies distributed was 320, the participants rejected some due to lack of interest. In total, including emails and hard copy questionnaire 205 was the response rate in which all were practicing physical therapy as their primary profession. The findings of the study will pave the way to identify the status of evidence-based practice as well as help in designing promotional programmers for evidence-based practice.


2018 ◽  
Vol 6 (1) ◽  
pp. 696-714
Author(s):  
ARIANTI Arianti

Abstract. This journal discusses the development of variations in teaching in increasing learning motivation. The learning process is an activity that involves an individual (physical and spiritual), learning activities are never carried out without a strong motivation or motivation from within the individual or from outside the individual who participates in learning activities. Therefore, the learning process requires the development and use of variations in teaching to generate student motivation. Variations in teaching include variations in teaching styles, variations in media and materials, and variations in teaching and learning interactions. Motivation has a very important role in learning activities, there is no learning activity without motivation, therefore motivation has a strategic role in achieving the goals or results of learning. Keywords: Development Of Teaching Variations and Motivation to Learn


Author(s):  
Jacob Busch ◽  
Emilie Kirstine Madsen ◽  
Antoinette Mary Fage-Butler ◽  
Marianne Kjær ◽  
Loni Ledderer

Summary Nudging has been discussed in the context of public health, and ethical issues raised by nudging in public health contexts have been highlighted. In this article, we first identify types of nudging approaches and techniques that have been used in screening programmes, and ethical issues that have been associated with nudging: paternalism, limited autonomy and manipulation. We then identify nudging techniques used in a pamphlet developed for the Danish National Screening Program for Colorectal Cancer. These include framing, default nudge, use of hassle bias, authority nudge and priming. The pamphlet and the very offering of a screening programme can in themselves be considered nudges. Whether nudging strategies are ethically problematic depend on whether they are categorized as educative- or non-educative nudges. Educative nudges seek to affect people’s choice making by engaging their reflective capabilities. Non-educative nudges work by circumventing people’s reflective capabilities. Information materials are, on the face of it, meant to engage citizens’ reflective capacities. Recipients are likely to receive information materials with this expectation, and thus not expect to be affected in other ways. Non-educative nudges may therefore be particularly problematic in the context of information on screening, also as participating in screening does not always benefit the individual.


2018 ◽  
Vol 33 (3) ◽  
pp. 158-159 ◽  
Author(s):  
Teresa Garrett

Advancing evidence-based policy change is a leadership challenge that nurses should embrace. Key tips to ensure that evidence-based policy changes are successful at the individual, community, and population levels are offered to help nurses through the change process. The public trust in the nursing profession is a leverage point that should be used to advance the use of evidence, expedite change, and improve health for students and across communities.


Algorithms ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 39
Author(s):  
Carlos Lassance ◽  
Vincent Gripon ◽  
Antonio Ortega

Deep Learning (DL) has attracted a lot of attention for its ability to reach state-of-the-art performance in many machine learning tasks. The core principle of DL methods consists of training composite architectures in an end-to-end fashion, where inputs are associated with outputs trained to optimize an objective function. Because of their compositional nature, DL architectures naturally exhibit several intermediate representations of the inputs, which belong to so-called latent spaces. When treated individually, these intermediate representations are most of the time unconstrained during the learning process, as it is unclear which properties should be favored. However, when processing a batch of inputs concurrently, the corresponding set of intermediate representations exhibit relations (what we call a geometry) on which desired properties can be sought. In this work, we show that it is possible to introduce constraints on these latent geometries to address various problems. In more detail, we propose to represent geometries by constructing similarity graphs from the intermediate representations obtained when processing a batch of inputs. By constraining these Latent Geometry Graphs (LGGs), we address the three following problems: (i) reproducing the behavior of a teacher architecture is achieved by mimicking its geometry, (ii) designing efficient embeddings for classification is achieved by targeting specific geometries, and (iii) robustness to deviations on inputs is achieved via enforcing smooth variation of geometry between consecutive latent spaces. Using standard vision benchmarks, we demonstrate the ability of the proposed geometry-based methods in solving the considered problems.


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