scholarly journals The Relationship Between Students’ Research Motivation, Capacity for Independent Work, and Research Outputs: Defining the Good Advisee Using Natural Language Processing

2020 ◽  
Vol 9 (5) ◽  
pp. 38
Author(s):  
Nitza Davidovitch ◽  
Eyal Eckhaus
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Faculty Members ◽  
Equation Modeling ◽  
Academic Faculty ◽  
Research Students ◽  
Independent Work

The current study is an exploratory study designed to examine the traits that are considered essential or important for research students, from the perspective of student advisors. The study addresses the broad question of whether and how academic faculty members select research students when seeking to maximize their own research outputs and achieving their own research goals. We employ a mixedmethods design, which incorporates content analysis based on Natural Language Processing techniques, and Structural Equation Modeling (SEM) to assess our model’s goodness of fit. Prominent traits that faculty members used to assess research candidates are investigated and discussed.

The Effect of Perceived Spiritual Leadership on Envy Management of Faculty Members through the Role of Professional Development Mediation and Job Satisfaction

2016 ◽  
Vol 9 (12) ◽  
pp. 157
Author(s):  
Zarin Daneshvar Haris ◽  
Reza Yousefi Saidabadi ◽  
Kiumars Niazazari
Keyword(s):  
Professional Development ◽  
Job Satisfaction ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Spiritual Leadership ◽  
Assistant Professor ◽  
Faculty Members ◽  
Equation Modeling ◽  
Primary Model

<p class="apa">Purpose: the present study aimed to investigate the effect of perceived spiritual leadership on envy management of faculty members of Islamic Azad Universities of East Azerbaijan province through the role of professional development mediation and job satisfaction.</p><p class="apa">Methodology: this study was a descriptive and correlational study that was conducted using structural equation modeling. The sample of this study consisted of all faculty members, with the rank of assistant professor or higher, in the academic year of 2014-2015. In qualitative stage, 20 individuals were selected to design the primary model and questionnaire and to model the sample; some 316 faculty members were used.</p><p class="apa">Findings: the results of this study indicated that there is a significant and positive relationship between the variables so that in investigating the direct and indirect relationship, the effect of perceived leadership on envy management was not directly significant. But through professional development mediation and job satisfaction of faculty members, the spiritual management was effective in organizational jealousy management. Also, the model enjoys from the goodness of fit.</p><p class="apa">Conclusion: According to the results, it was concluded that through providing the context for spiritual leadership and envy management, creating professional development and job satisfaction, the university administrators could prepare faculty members for more effective roles away from envy and towards educational, research and service efficiencies.</p>

scholarly journals The Role of Faculty Members in the Internationalization of Medical Universities of Iran

2020 ◽  
Author(s):  
S Valimoghaddam zanjani ◽  
F damirchili ◽  
M Zolghadr
Keyword(s):  
Organizational Support ◽  
Structural Equation ◽  
Goodness Of Fit ◽  
Faculty Members ◽  
Equation Modeling ◽  
University Management ◽  
Structured Interviews ◽  
Research Activities ◽  
Fit Index

Introduction: The internationalization of higher education has been identified as a priority and necessity for universities in the country. The purpose of this study was to investigate the role of faculty members in internationalization of medical universities in Iran. Methods: In this qualitative study using grounded theory through literature review and semi-structured interviews with 20 experts, the role of faculty members was identified and a questionnaire by 124 experts with qualitative theory was used. Structural equation modeling analysis method was determined. Result: Four factors were identified as individual competencies, teaching and research activities, empowerment and teacher mobility along with 28 indicators. Based on the first and second order factor analysis. The indexes of fitness measurement of final model showed that Chi-square ratio to the degree of freedom (CMIN/DF) equals 2.092. Furthermore, the value of the index of square root of reminder squares mean (RMSE(, equals 0.54. The value of goodness of fit index (GFI), adjusted goodness of fit index (AGFI), correlation of fit index (CFI), normalized fit index of Bentler Bonette (NNFI), fit index of Toker – Loise (TLI), increased fit index (IFI), and relative fit index (RFI) in the presented model is higher than 90%, so the data of this study fit the factor structure of this scale. Conclusion: Faculty members play a key role in the internationalization of medical universities in Iran, and university management should facilitate the process of internationalization through organizational support, participatory management, and investment through professors.

scholarly journals The Changing of the Guard in Academia and Academic Research Leadership—Employing Natural Language Processing

2020 ◽  
Vol 13 (8) ◽  
pp. 95
Author(s):  
Eyal Eckhaus ◽  
Nitza Davidovitch
Keyword(s):  
Language Processing ◽  
Structural Equation ◽  
Academic Research ◽  
Academic Leadership ◽  
Faculty Members ◽  
Academic Institution ◽  
Equation Modeling ◽  
Management Skills ◽  
Senior Faculty ◽  
Young Faculty

This pioneering study examines the meaning of academic leadership in terms of the changing of the guard in academia. Research findings on seniority and experience and their association with leadership show that these have a considerable impact on management skills and on the ability of those with experience and seniority to influence the young leadership. This is particularly essential in academia where research is the most meaningful and effective value that serves as a measure of faculty members. Management skills are not perceived as a coherent part of faculty members&rsquo; work. Structural Equation Modeling confirmed the developed model. Findings show that indeed, from the perspective of faculty at the academic institution, senior experienced faculty members undoubtedly contribute to the academic institution first of all in research, but also otherwise. Senior and experienced faculty members contribute by encouraging, directing, and guiding young faculty members on how to contribute to the institution, particularly through the activity which is expected of them as academic faculty &ndash; i.e., research. This urging and direction is one of the most well-known qualities in the context of academic leadership &ndash; the ability to help people develop, advance, and to outline a high-quality academic research tradition. The meaning of the findings is that senior faculty has a contribution beyond their direct output in the form of scientific publications, as a research engine and spotlight for the young faculty. Notably, no difference was found in faculty&rsquo;s perception of this contribution of senior faculty members by gender or age.

scholarly journals Student Evaluation of Lecturers – What do Faculty Members Think about the Damage Caused by Teaching Surveys?

2019 ◽  
Vol 9 (3) ◽  
pp. 12
Author(s):  
Nitza Davidovich ◽  
Eyal Eckhaus
Keyword(s):  
Structural Equation ◽  
Teaching Practice ◽  
Student Evaluation ◽  
Faculty Members ◽  
Equation Modeling ◽  
Senior Faculty ◽  
Student Surveys ◽  
Teaching Evaluations ◽  
Academic Faculty ◽  
Research Findings

Many studies have been conducted on teaching evaluations and student surveys. The current study is unique for examining, by means of direct questions, the meaning of teaching surveys as perceived by academic faculty in Israel. Senior faculty members at academic institutions completed questionnaires, with a total of 182 questionnaires collected. We employed mixed research methods, beginning with qualitative analysis followed by Structural Equation Modeling (SEM), with the goal of developing a model that reflects faculty members&rsquo; beliefs on teaching surveys. The research findings show that the lecturers find that student evaluations are detrimental to their relationship with their students, and adversely affect their teaching practice and interpersonal interactions with their students. In view of the importance attributed to students&#39; voices and their opinions of teaching, the question is how should these evaluations be addressed, Do teaching surveys constitute a reliable managerial tool and a foundation for improving teaching &ndash; or should other tools be developed to improve teaching practices, independent of students&#39; opinions?

A Review and evaluation of Machine Translation methods for Lumasaaba

2020 ◽  
pp. 3-17
Author(s):  
Peter Nabende
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Machine Translation ◽  
Language Processing ◽  
Research Area ◽  
Data Driven ◽  
East African ◽  
Data Set ◽  
African Languages ◽  
Translation Methods

Natural Language Processing for under-resourced languages is now a mainstream research area. However, there are limited studies on Natural Language Processing applications for many indigenous East African languages. As a contribution to covering the current gap of knowledge, this paper focuses on evaluating the application of well-established machine translation methods for one heavily under-resourced indigenous East African language called Lumasaaba. Specifically, we review the most common machine translation methods in the context of Lumasaaba including both rule-based and data-driven methods. Then we apply a state of the art data-driven machine translation method to learn models for automating translation between Lumasaaba and English using a very limited data set of parallel sentences. Automatic evaluation results show that a transformer-based Neural Machine Translation model architecture leads to consistently better BLEU scores than the recurrent neural network-based models. Moreover, the automatically generated translations can be comprehended to a reasonable extent and are usually associated with the source language input.

1243-P: Novel Use of Natural Language Processing to Identify Reasons for Insulin Discontinuation in Patients with T2DM: A Real-World Evidence Study

Diabetes ◽  
2019 ◽  
Vol 68 (Supplement 1) ◽  
pp. 1243-P
Author(s):  
JIANMIN WU ◽  
FRITHA J. MORRISON ◽  
ZHENXIANG ZHAO ◽  
XUANYAO HE ◽  
MARIA SHUBINA ◽  
...  
Keyword(s):  
Natural Language Processing ◽  
Natural Language ◽  
Language Processing ◽  
Real World ◽  
Real World Evidence
Sign in / Sign up

Export Citation Format

Share Document