scholarly journals Big Data and the Ethical Implications of Data Privacy in Higher Education Research

2020 ◽  
Vol 12 (20) ◽  
pp. 8744
Author(s):  
Diana Florea ◽  
Silvia Florea
Keyword(s):  
Higher Education ◽  
Big Data ◽  
Education Research ◽  
Private Information ◽  
Data Privacy ◽  
Complex Nature ◽  
Complex Data ◽  
Higher Education Research ◽  
Ethical Implications ◽  
The Impact

Despite the claimed worth and huge interest regarding the increasing volumes of complex data sets and the rewarding promise to improve research, there is, however, a growing concern regarding data privacy that affects both qualitative and quantitative higher education research. Within the contemporary debates on the impact of Big Data on the nature of higher education research and the effective ways to harmonize Big Data practice with privacy restrictions and regulations, this study sets out to qualitatively examine current issues regarding data privacy, anonymity, informed consent and confidentiality in data-centric higher education research, with a focus on the data collector, data subject and data user. We argue that within current regulations, data protection of research subjects concerns more data collection and disclosure and insufficiently describes use, having procedural implications for both the complex nature of higher education (HE) research and the type of research data being collected. We work our argument through an examination of several factors that call for a reconsideration of data privacy and access to private information in HE research. The conclusions indicate that Big Data-centric HE research is increasingly becoming a mainstream research paradigm which needs to address critical data privacy issues before being widely embraced.

“You Were Going to Go to College”: The Role of Chicano Fathers’ Involvement in Chicana Daughters’ College Choice

2019 ◽  
Vol 57 (5) ◽  
pp. 2059-2088 ◽  
Author(s):  
Nichole M. Garcia ◽  
Rebeca Mireles-Rios
Keyword(s):  
Higher Education ◽  
Education Research ◽  
College Choice ◽  
Father Involvement ◽  
Higher Education Research ◽  
Theoretical Frameworks ◽  
Choice Processes ◽  
The Impact ◽  
College Educated

Using pláticas, the sharing of cultural teachings through intimate and informal conversations, this article analyzes our personal college choice processes as Chicanas by examining the impact of being raised by Chicano college-educated fathers. Drawing on two theoretical frameworks, college-conocimiento, a Latinx college choice conceptual framework, and critical raced-gendered epistemologies, we demonstrate how intimate and informal conversations occur within our own Chicana/o daughter-father relationships in negotiating higher education and household contexts. Our analysis responds to the need to explore daughter-father relationships in higher education research. This work expands the college choice scholarship by moving beyond traditional models to examine the gendered and raced experiences of families of color, particularly focusing on how father involvement is associated with the college choice of daughters.

scholarly journals The Concept of Active Learning and the Measurement of Learning Outcomes: A Review of Research in Engineering Higher Education

2019 ◽  
Vol 9 (4) ◽  
pp. 276 ◽  
Author(s):  
Susanna Hartikainen ◽  
Heta Rintala ◽  
Laura Pylväs ◽  
Petri Nokelainen
Keyword(s):  
Higher Education ◽  
Education Research ◽  
Active Learning ◽  
Learning Outcomes ◽  
Qualitative Content Analysis ◽  
Self Report ◽  
Higher Education Research ◽  
Report Data ◽  
Self Report Data ◽  
The Impact

Active learning has gained growing political, instructional, and research interest. However, the definitions of active learning are wide. The learning outcomes related to it have been mostly positive but the measurement methods are not without problems. This review provides an overview of active learning, especially in the context of engineering higher education, by answering two research questions: (1) How is the concept of active learning defined and justified in engineering higher education research? (2) What are the learning outcomes connected to active learning and how is learning measured in engineering higher education research? Sixty-six empirical articles were analyzed inductively with qualitative content analysis. The analysis showed that active learning was defined in various ways, and in some articles, it was not defined at all. In addition, justification (theoretical or empirical) for the use of active learning was seldomly reported. Finally, the indicators used to measure the impact of active learning on students’ learning outcomes were mostly based on students’ self-report data and focused on course specific development in subject-related knowledge. More thorough descriptions and theoretical justifications, as well as the consideration of learning outcomes with appropriate research methods, could reinforce the transparency of empirical interventions and the application of active learning.

Thriving in Academia: Understanding and Managing the Complexities of Faculty Work

2012 ◽  
Vol 15 (2) ◽  
pp. 77-84 ◽  
Author(s):  
Ketevan Mamiseishvili
Keyword(s):  
Higher Education ◽  
Education Research ◽  
Community Engagement ◽  
Everyday Life ◽  
Work Setting ◽  
Higher Education Research ◽  
Faculty Work ◽  
College And University ◽  
Teaching Research ◽  
University Settings

In this paper, I will illustrate the changing nature and complexity of faculty employment in college and university settings. I will use existing higher education research to describe changes in faculty demographics, the escalating demands placed on faculty in the work setting, and challenges that confront professors seeking tenure or administrative advancement. Boyer’s (1990) framework for bringing traditionally marginalized and neglected functions of teaching, service, and community engagement into scholarship is examined as a model for balancing not only teaching, research, and service, but also work with everyday life.

Student Variables that Predict Retention: Recent Research and New Developments

NASPA Journal ◽  
2003 ◽  
Vol 40 (4) ◽  
Author(s):  
Robert D. Reason
Keyword(s):  
Higher Education ◽  
Education Research ◽  
College Student ◽  
Student Retention ◽  
Demographic Characteristics ◽  
Individual Student ◽  
Higher Education Research ◽  
College Student Retention ◽  
New Developments ◽  
Changing Demographics

This article reviews recent research related to the study of college student retention, specifically examining research related to individual student demographic characteristics. The increasing diversity of undergraduate college students requires a new, thorough examination of those student variables previously understood to predict retention. The retention literature focuses on research conducted after 1990 and emphasizes the changing demographics in higher education. Research related to a relatively new variable —the merit-index—also is reviewed, revealing potentially promising, but currently mixed results.

Borders, paths and orientations: assembling the higher education research field as doctoral students and supervisors

2021 ◽  
Vol 26 (3) ◽  
pp. 422-437
Author(s):  
Tai Peseta ◽  
Giedre Kligyte ◽  
Amani Bell ◽  
Brittany Hardiman ◽  
Delyse Leadbeatter ◽  
...  
Keyword(s):  
Higher Education ◽  
Education Research ◽  
Doctoral Students ◽  
Research Field ◽  
Higher Education Research

Philosophy’s rematch: A new conceptualization of the study of higher education

2021 ◽  
pp. 147402222110029
Author(s):  
Gabe A Orona
Keyword(s):  
Higher Education ◽  
Education Research ◽  
Virtue Epistemology ◽  
Bayesian Epistemology ◽  
Higher Education Research ◽  
Field Of Study ◽  
Research Philosophy ◽  
Development Of Students

In recent decades, philosophy has been identified as a general approach to enhance the maturity of higher education as a field of study by enriching theory and method. In this article, I offer a new set of philosophical recommendations to spur the disciplinary development of higher education, departing from previous work in several meaningful ways. Due to their deep and useful connections to higher education research, philosophy of measurement, virtue epistemology, and Bayesian epistemology are introduced and discussed in relation to their conceptual association and potential practical influence on the study of higher education. The culmination of these points signals a learnercentered lens focused on the development of students.

scholarly journals A Comprehensive Survey on Local Differential Privacy

2020 ◽  
Vol 2020 ◽  
pp. 1-29 ◽  
Author(s):  
Xingxing Xiong ◽  
Shubo Liu ◽  
Dan Li ◽  
Zhaohui Cai ◽  
Xiaoguang Niu
Keyword(s):  
Big Data ◽  
Data Analysis ◽  
Statistical Learning ◽  
Data Privacy ◽  
Statistical Estimation ◽  
Differential Privacy ◽  
Future Research ◽  
Reference Source ◽  
Complex Data ◽  
Comprehensive Survey

With the advent of the era of big data, privacy issues have been becoming a hot topic in public. Local differential privacy (LDP) is a state-of-the-art privacy preservation technique that allows to perform big data analysis (e.g., statistical estimation, statistical learning, and data mining) while guaranteeing each individual participant’s privacy. In this paper, we present a comprehensive survey of LDP. We first give an overview on the fundamental knowledge of LDP and its frameworks. We then introduce the mainstream privatization mechanisms and methods in detail from the perspective of frequency oracle and give insights into recent studied on private basic statistical estimation (e.g., frequency estimation and mean estimation) and complex statistical estimation (e.g., multivariate distribution estimation and private estimation over complex data) under LDP. Furthermore, we present current research circumstances on LDP including the private statistical learning/inferencing, private statistical data analysis, privacy amplification techniques for LDP, and some application fields under LDP. Finally, we identify future research directions and open challenges for LDP. This survey can serve as a good reference source for the research of LDP to deal with various privacy-related scenarios to be encountered in practice.

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