scholarly journals Using the Internet to Deliver Higher Education: A Cautionary Tale About Achieving Good Practice

2020 ◽  
pp. 67-90
Author(s):  
Steven J. Coombs ◽  
Jillian Rodd
Keyword(s):  
Higher Education ◽  
Good Practice ◽  
The Internet ◽  
Cautionary Tale

From Scarcity to Abundance: Achieving Quality-Assured Mass Higher Education

2011 ◽  
Vol 15 (2) ◽  
Author(s):  
Peter P. Smith
Keyword(s):  
Higher Education ◽  
Knowledge Economy ◽  
Good Practice ◽  
The United States ◽  
The Other ◽  
Secondary System ◽  
Mass Higher Education ◽  
Post Secondary ◽  
One Year ◽  
The One

The United States is in a bind. On the one hand, we need millions of additional citizens with at least one year of successful post-secondary experience to adapt to the knowledge economy. Both the Gates and Lumina Foundations, and our President, have championed this goal in different ways. On the other hand, we have a post-secondary system that is trapped between rising costs and stagnant effectiveness, seemingly unable to respond effectively to this challenge. This paper analyzes several aspects of this problem, describes changes in the society that create the basis for solutions, and offers several examples from Kaplan University of emerging practice that suggests what good practice might look like in a world where quality-assured mass higher education is the norm.

Internet-based Online Higher Education in Nepal Amidst COVID-19

2020 ◽  
Author(s):  
Ashis Acharya ◽  
Nabaraj Poudyal ◽  
Ganesh Lamichhane ◽  
Babita Aryal ◽  
Bibek Raj Bhattarai ◽  
...  
Keyword(s):  
Higher Education ◽  
Human Life ◽  
The Internet ◽  
Online Classes ◽  
Traditional Concept ◽  
Digital Platforms ◽  
Factors Affecting ◽  
Online Higher Education ◽  
Alternative Means ◽  
The Government

The COVID-19 global pandemic has affected all aspects of human life, with education, not an exception. In an attempt to stop the SARS-CoV-2 spreading like wildfire, the Government of Nepal has implemented nationwide lockdowns since March 24, 2020, that have enforced schools and universities to shut down. As a consequence, more than four hundred thousand students of various levels in higher education institutions (HEIs) are in a dilemma about restoring the situation. Several HEIs, nationwide, have leaped forward from the traditional concept of learning—limited within the boundary of the classroom—to choosing digital platforms as an alternative means of teaching because of the pandemic. For this research, the descriptive and inferential analysis was carried out to investigate the effects and challenges of learning via digital platforms during this pandemic. Data were collected from students and faculty at various levels of higher education and analyzed statistically with different factors using t-test and ANOVA, and variables were found to be approximately normally distributed. The study revealed that 70% of the respondents had access to the Internet, but 36% of the Internet accessed did not continue online classes due to unexpected disturbance in Internet and electrical connectivity. Likewise, 65% of students did not feel comfortable with online classes, and among attendees of online classes, 78% of students want to meet the instructor for a better understanding of course matters. According to the analytic hierarchy process (AHP) model, three factors, such as institutional policy, internet access, and poverty, are found to be significant factors affecting the online higher education systems in Nepal. On the brighter side, this outbreak has brought ample opportunities to reform the conventional teaching-learning paradigm in Nepal.

DISTANCE LEARNING AS AN ALTERNATIVE FORM OF CONTINUING EDUCATION: PROBLEMS AND TERMS OF REALISATION

2020 ◽  
pp. 87-92
Author(s):  
Сергей Александрович Грязнов
Keyword(s):  
Higher Education ◽  
Distance Education ◽  
Distance Learning ◽  
Continuing Education ◽  
Higher Education Institutions ◽  
Educational Technologies ◽  
Alternative Form ◽  
The Internet ◽  
Classical Training ◽  
Teaching In Higher Education

Технологии меняют образ жизни и деятельность человека. Глобальная сеть Интернет облегчает быстрый доступ к полезной информации. Социальная, культурная и образовательная конкурентоспособность находятся под влиянием образовательных технологий, которые положительно влияют на стиль, продолжительность и метод обучения в высших учебных заведениях. Дистанционное образование возможно применять и как полноценную самодостаточную форму, и как дополнение к классическому обучению в аудиториях. Автор рассматривает в статье дистанционную форму обучения как альтернативу традиционной форме преподавания в вузах на время периодов самоизоляции (пандемии, сезонные карантины), а также как дополнение к традиционным формам обучения. Анализируются проблемные и положительные аспекты применения данной формы. Указаны возможные форматы обучения в условиях дистанционного образования. Выделены сильные и слабые стороны использования некоторых технологий. Technologies alter the way of living and work of a person. The Internet world network makes it easier to quickly access useful information. Social, cultural and educational competitiveness are influenced by educational technologies that positively influence the style, duration and method of education in higher education institutions. Distance education can be used as a full-fledged self-sufficient form, or as a Supplement to classical training in classrooms. The author considers distance learning as an alternative to the traditional form of teaching in higher education institutions during periods of self-isolation (pandemics, seasonal quarantines), as well as as an addition to traditional forms of education. The problem and positive aspects of using this form are analyzed. Possible formats of training in the conditions of distance education are specified. The strengths and weaknesses of the use of certain technologies are highlighted.

The Student Affairs Profession in the Academic Marketplace

NASPA Journal ◽  
2007 ◽  
Vol 44 (2) ◽  
Author(s):  
Joan B. Hirt
Keyword(s):  
Higher Education ◽  
Student Affairs ◽  
Good Practice ◽  
Student Affairs Professionals ◽  
Academic Affairs ◽  
Seven Principles ◽  
Market Driven ◽  
Principles Of Good Practice ◽  
The Way

This essay compares the narratives that have emerged in recent years to describe the higher education enterprise with the narratives used to describe student affairs’ endeavors. I posit that the way in which student affairs professionals present their agenda is out of sync with the market-driven culture of the academy. The seven Principles of Good Practice are used to illustrate the incongruence between student affairs and academic affairs narratives on campus. I offer ways that those Principles can be recast to be more closely aligned with the new academic marketplace.

The Politics of Distance Edcucation

Public Voices ◽  
2017 ◽  
Vol 5 (3) ◽  
pp. 3
Author(s):  
Mark Peterson
Keyword(s):  
Higher Education ◽  
Distance Education ◽  
Interactive Television ◽  
Small Population ◽  
The Internet ◽  
Instructional Software ◽  
College Level ◽  
Web Based ◽  
Political Perceptions ◽  
Fiscal Efficiency

"Distance education" at the college level is well over a century old.  It has served the needs of a numerically large, but proportionately small population of learners who have eschewed the campus classroom.  These correspondence school enrollees, educational TV watchers, and audiocassette listeners have had only modest impact on the structure, mission, and strategy of the institutions serving them.  But that is now changing, and changing very dramatically.  The advent of the Internet, interactive television technology, and web-based instructional software, coupled with administrative and political perceptions of educational reformation and fiscal efficiency, may be causing nothing less than a revolution in higher education.  By applying a feminist model of assessment called "unthinking technology," that is to say, exploring the potential, but unthought of socio-political aspects of this technological revolution, this paper raises significant questions about the security of the traditional academic enterprise.  "The Politics of Distance Education" urges a pro-active embrace of these technologies by the academy in order to enable a legitimate "competency for grievance" so that the protection of the validity of higher education, and legitimacy of the academic profession can be ethically defended and publicly respected, rather than being viewed as mulish resistance to the inevitable.

scholarly journals Securing IoT Devices: A Robust and Efficient Deep Learning with a Mixed Batch Adversarial Generation Process for CAPTCHA Security Verification

Electronics ◽  
2021 ◽  
Vol 10 (15) ◽  
pp. 1798
Author(s):  
Stephen Dankwa ◽  
Lu Yang
Keyword(s):  
Deep Learning ◽  
Internet Of Things ◽  
Process Model ◽  
Good Practice ◽  
Knowledge Exchange ◽  
Turing Test ◽  
The Internet ◽  
Generation Process ◽  
Adversarial Attack ◽  
Mixed Batch

The Internet of Things environment (e.g., smart phones, smart televisions, and smart watches) ensures that the end user experience is easy, by connecting lives on web services via the internet. Integrating Internet of Things devices poses ethical risks related to data security, privacy, reliability and management, data mining, and knowledge exchange. An adversarial machine learning attack is a good practice to adopt, to strengthen the security of text-based CAPTCHA (Completely Automated Public Turing test to tell Computers and Humans Apart), to withstand against malicious attacks from computer hackers, to protect Internet of Things devices and the end user’s privacy. The goal of this current study is to perform security vulnerability verification on adversarial text-based CAPTCHA, based on attacker–defender scenarios. Therefore, this study proposed computation-efficient deep learning with a mixed batch adversarial generation process model, which attempted to break the transferability attack, and mitigate the problem of catastrophic forgetting in the context of adversarial attack defense. After performing K-fold cross-validation, experimental results showed that the proposed defense model achieved mean accuracies in the range of 82–84% among three gradient-based adversarial attack datasets.

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