Globalizing and Localizing

2011 ◽  
pp. 335-355
Author(s):  
Shalin Hai-Jew ◽  
Beth A. Montelone ◽  
Lisa C. Freeman
Keyword(s):  
Public Health ◽  
Research Policy ◽  
Opportunity To Learn ◽  
Diverse Learners ◽  
Higher Learning ◽  
Faculty Members ◽  
Online Course ◽  
Local Resources ◽  
Institutions Of Higher Learning ◽  
Research And Design

Public health is a demanding field that draws from a number of disciplines: medicine, veterinary medicine, nutrition, nursing, law enforcement, research, policy-making, engineering, and public outreach and education. The nature of this field requires multi-media educational resources that can introduce diverse learners to this curricular and real-world complexity. This chapter describes how a virtual team of faculty members from four Kansas institutions of higher learning collaborated to create an online course titled “Introduction to Public Health”. Drawing from the larger environment, the online course uses global and culturally sensitive techniques to reach a wide learner base and to make use of local resources for its geographically diverse learners. The online learning environment constructed is tied in a deliberate fashion to the values and practices of public health. The online course is built to be more widely adoptable by a range of faculty members from different related fields. As a result, students from rural, urban, and suburban backgrounds will have an opportunity to learn public health and related careers early in their undergraduate education. Public universities and community colleges will have access to a new collaborative model for course development and delivery. This course build involved a consistent tactic of building learning adaptable to local and culturally variant conditions for global transferability, with some of these practices transferable to other online course builds. This chapter explores the uses of research and design in a specific case to enhance the global inheritability of the shared course.

scholarly journals Online Education: Issues, Challenges and Implications

2013 ◽  
Vol 16 (3) ◽  
pp. 53-67
Author(s):  
OLATUNJI, Michael Olalekan
Keyword(s):  
Online Education ◽  
Knowledge Creation ◽  
New World ◽  
Higher Learning ◽  
Online Course ◽  
Negative Consequences ◽  
Digital Revolution ◽  
Institutions Of Higher Learning ◽  
Student Demand ◽  
Made In

Swenson (2007) observed that “in the space of one brief decade, the internet has changed our world and most of us with it”. He remarked further that our ways of doing things are different now as a result of digital revolution in education. To be successful therefore in a 21st century world, in which knowledge is generated at an ever increasing pace, requires that learning be made an ongoing process of skill development and knowledge creation. Online education programs are a reflection of this new world as they offer education without borders (Levine & Sun, 2003). Online education has experienced dramatic expansion while institutions of higher learning continue to increase online course offerings in an effort to satisfy student demand (Capra, 2011). However, Capra submitted further that, while this growth is impressive, it is not without unintended negative consequences. As a result of the increasing import of online education over the years, attempt is made in this paper to examine some of the negative consequences inherent in this innovative form of education which one sees as issues and challenges. The paper also discusses the implications of the identified issues and challenges with strategic suggestions made as to the way forward

Institutional Repositories as Impetus for Curbing Plagiarism in Nigerian Universities

2018 ◽  
pp. 205-224
Author(s):  
Doosuur Dianne Ashaver
Keyword(s):  
Higher Learning ◽  
Faculty Members ◽  
Institutional Repositories ◽  
Institutions Of Higher Learning ◽  
Academic Plagiarism

This chapter is an exposition on the Institutional Repositories as impetus to curbing plagiarism in Nigerian universities. The chapter analyses the nature of academic plagiarism and its prevalence in institutions of higher learning in Nigeria especially among students and faculty members. The chapter also proffers strategies which universities can employ to minimise and or eventually curb plagiarism.

MASLOW'S HIERARCHY AND STUDENT RETENTION

1989 ◽  
Vol 9 (1) ◽  
pp. 69-74 ◽  
Author(s):  
David M. Brookman
Keyword(s):  
College Students ◽  
Student Affairs ◽  
Student Retention ◽  
Higher Learning ◽  
Faculty Members ◽  
Hierarchy Of Needs ◽  
Mentor Program ◽  
Sense Of Purpose ◽  
Institutions Of Higher Learning ◽  
Teaching Faculty

Abraham Maslow's hierarchy of needs offers a perspective on the motivation of college students and provides a rationale for retention programming in institutions of higher learning. The interventions of student affairs staff and faculty members which address the safety needs of students and engage students' sense of purpose tend to reinforce persistence. The result is improved rates of retention. The possible role faculty might play in a “mentor program” is discussed as a model of cooperative endeavor between the teaching faculty and the student affairs staff.

scholarly journals Teachers’ Conflict-Inducing Attitudes and Their Repercussions on Students’ Psychological Health and Learning Outcomes

2019 ◽  
Vol 16 (14) ◽  
pp. 2534
Author(s):  
Muhammad Rashid Ali ◽  
Badar Nadeem Ashraf ◽  
Chuanmin Shuai
Keyword(s):  
Psychological Health ◽  
Educational Outcomes ◽  
Higher Learning ◽  
Faculty Members ◽  
Educational Institutions ◽  
Student Relationships ◽  
Teacher Interactions ◽  
Teacher Student Relationships ◽  
Teacher Student ◽  
Institutions Of Higher Learning

This paper studied the causes and effects of negative teacher–student relationships on students’ psychological health and educational outcomes, primarily due to negative teacher–teacher interactions. Survey data were collected from 130 faculty members and 746 students of 10 higher educational institutions located in different cities of the Punjab province of Pakistan. Path analysis was used to estimate results. The findings revealed that incivility among faculty members and higher discontent with university resources generates a conflict-inducing attitude in faculty members, which subsequently creates negative behavior in teachers towards students. It was further observed that hostile attitudes of faculty members towards students adversely affects the psychological health and educational outcomes of students at universities. These findings suggest that students’ learning processes can be improved by controlling negative teacher–teacher interactions, which has important implications for institutions of higher learning.

scholarly journals Planning and Implementing a Graduate Online Team-Taught Marketing Course

2018 ◽  
Vol 42 (2) ◽  
pp. 108-122
Author(s):  
Rajasree K. Rajamma ◽  
Michael R. Sciandra
Keyword(s):  
Team Teaching ◽  
Online Teaching ◽  
Online Courses ◽  
Higher Learning ◽  
Faculty Members ◽  
Potential Solution ◽  
Institutions Of Higher Learning ◽  
The World ◽  
Teaching Team ◽  
Educational Delivery

Online courses have become an important educational delivery tool for institutions of higher learning throughout the world. While popular among students and administrators, many faculty members have expressed concerns with online courses. Therefore, this article highlights online team teaching as a potential solution to many of the concerns harbored by faculty members. In particular, we discuss the potential challenges that can be faced by an online teaching team during the various stages from conceptualization to implementation, and offer prescriptive guidelines that would help future teams in navigating those challenges. Importantly, this article explores online team teaching from the perspective of marketing faculty and outlines positive educator outcomes associated with the development of a team-taught marketing course.

Notes on Chinese Higher Education: 1974

1975 ◽  
Vol 62 ◽  
pp. 271-296 ◽  
Author(s):  
Jan S. Prybyla
Keyword(s):  
Higher Learning ◽  
Faculty Members ◽  
Chinese Higher Education ◽  
University President ◽  
State University ◽  
Teachers College ◽  
Medical College ◽  
Institutions Of Higher Learning ◽  
Peking University ◽  
The University

I travelled in China in February 1974 as member of an academic group from the Pennsylvania State University, led by the university president, John W. Oswald. I visited the following institutions of higher learning: Canton Medical College, Chungshan University in Canton, Futan University in Shanghai, Nanking University, Nanking Normal (Teachers') College, Peking University, and the Central Institute of Nationalities in Peking. A member of our group (an engineer) visited Tsinghua University in Peking. In each of these institutions our group held lengthy conversations with personnel of the Revolutionary Committees, faculty members, and some students. In Shanghai I gave a lecture on the U.S. economy to faculty members from the departments of economics and international politics of Futan University.

Big Data in Higher Education

2017 ◽  
pp. 1-16 ◽  
Author(s):  
Marta Vidal ◽  
Javier Vidal-García ◽  
Rafael Hernández Barros
Keyword(s):  
Public Health ◽  
Higher Education ◽  
Big Data ◽  
Data Analytics ◽  
H1n1 Virus ◽  
Higher Learning ◽  
Ticket Sales ◽  
Institutions Of Higher Learning ◽  
Public Health Officials ◽  
Ticket Prices

Big Data refers to large volumes of information – on diseases, ticket sales, and so on – that standard database tools such as MySQL and Oracle, cannot easily process. Thus, data analytics tools, such as InfoGram and Google Fusion Tables, are required to manage the information. The processed data is useful in several ways. For instance, public health officials may use the results of the analysis to explain the spread of viruses including the H1N1 virus (Mayer-Schönberger & Cukier, 2014, p. 2). Airplane companies may use the results to predict changes in ticket prices. Apart from the medical and aviation industries, institutions of higher learning also collect significantly large quantities of data. Hence, the analysis of Big Data also takes place in higher education. The beneficiaries of the analysis include students and administrators.

scholarly journals Learning to Swim

2021 ◽  
Vol 2 (2) ◽  
Author(s):  
Beth Ritter-Conn
Keyword(s):  
Experiential Learning ◽  
Real Life ◽  
Higher Learning ◽  
Faculty Members ◽  
Learning Goals ◽  
Contingent Faculty ◽  
Institutions Of Higher Learning ◽  
New Material ◽  
Power Of Story ◽  
Required Courses

As institutions of higher learning increasingly rely on contingent faculty members to carry the load of required courses, more and more new contingent faculty find themselves thrown into the “deep end” of teaching in areas outside of their fields. By focusing on broader learning goals, appealing to the power of story, and emphasizing real-life application by incorporating experiential learning, these faculty members can make almost any course feel like a course they are qualified to teach. Furthermore, they can allow their wonder at learning new material inspire students to embrace unfamiliar topics as well.

Big Data in Higher Education

Web Services ◽  
2019 ◽  
pp. 1330-1345
Author(s):  
Marta Vidal ◽  
Javier Vidal-García ◽  
Rafael Hernández Barros
Keyword(s):  
Public Health ◽  
Higher Education ◽  
Big Data ◽  
Data Analytics ◽  
H1n1 Virus ◽  
Higher Learning ◽  
Ticket Sales ◽  
Institutions Of Higher Learning ◽  
Public Health Officials ◽  
Ticket Prices

Big Data refers to large volumes of information – on diseases, ticket sales, and so on – that standard database tools such as MySQL and Oracle, cannot easily process. Thus, data analytics tools, such as InfoGram and Google Fusion Tables, are required to manage the information. The processed data is useful in several ways. For instance, public health officials may use the results of the analysis to explain the spread of viruses including the H1N1 virus (Mayer-Schönberger & Cukier, 2014, p. 2). Airplane companies may use the results to predict changes in ticket prices. Apart from the medical and aviation industries, institutions of higher learning also collect significantly large quantities of data. Hence, the analysis of Big Data also takes place in higher education. The beneficiaries of the analysis include students and administrators.

The May Seventh Cadre School for Eastern Peking

1975 ◽  
Vol 63 ◽  
pp. 522-527 ◽  
Author(s):  
James C. F. Wang
Keyword(s):  
Graduate Students ◽  
Higher Learning ◽  
Faculty Members ◽  
Political Education ◽  
Public Disclosure ◽  
The Public ◽  
Institutions Of Higher Learning ◽  
The University

From 26 December 1972 to 24 January 1973, I was a member of a group from the University of Hawaii visiting various institutions of higher learning in China. The group consisted of five Chinese-speaking faculty members and five graduate students with varied interests and specializations. Since my own particular subject is the training and political education of cadres, I requested permission to visit a May Seventh cadre school. This report examines the May Seventh Cadre School for Eastern Peking and is based upon information gathered on a visit there in January 1973. Officials of the school told us that from its establishment, on 7 November 1968, to January 1973, approximately 3,300 cadres from eastern Peking graduated from the school. The extent of this particular school's involvement in training cadres for eastern Peking is best illustrated by the public disclosure that over half of the cadres in eastern Peking have attended it.

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