The Academic Quality Handbook

2021 ◽  
Author(s):  
Patrick McGhee
Keyword(s):  
Academic Quality

On Scientific Value of russian Journals in Economics and related fields

2013 ◽  
pp. 130-151 ◽  
Author(s):  
A. Muravyev
Keyword(s):  
Reference Lists ◽  
Citation Index ◽  
Economic Science ◽  
Detailed Data ◽  
Academic Quality ◽  
Russian Science ◽  
Russian Science Citation Index ◽  
Scientific Significance ◽  
Scientific Value

In this paper we attempt to classify Russian journals in economics and related disciplines for their scientific significance. We show that currently used criteria, such as a journal’s presence in the Higher Attestation Committee’s list of journals and the Russian Science Citation Index (RSCI) impact factor, are not very useful for assessing the academic quality of journals. Based on detailed data, including complete reference lists for 2010—2011, we find significant differentiation of Russian journals, including among those located at the top of the RSCI list. We identify two groups of Russian journals, tentatively called category A and B journals, that can be regarded as the most important from the viewpoint of their contribution to the economic science.

Academic Quality Compliance of Public Secondary Schools in the City Schools Division of San Jose Del Monte Bulacan: Input to Strengthen Institutional Profiling

2020 ◽  
Vol 4 (2) ◽  
pp. 37-40
Author(s):  
Thelma Manabat
Keyword(s):  
High Schools ◽  
San Jose ◽  
Academic Quality ◽  
Quality Instruction ◽  
Descriptive Research ◽  
School Year ◽  
Management Capability ◽  
The City ◽  
City Schools ◽  
Promotion Rate

This study was conducted to determine the level of academic quality compliance of public secondary high schools and its predictors as input to strengthen institutional profiling. The respondents of the study were 167 teachers and school managers in (9) public secondary junior high schools in the City Schools Division of San Jose del Monte Bulacan for the School Year 2017-2018. The descriptive research design was used employing the predictive technique in determining the influence of respondents’ profile, institutions’ profile variables and the management capability factors as the academic quality compliance of the schools. The findings revealed that the schools’ academic quality compliance on leadership and governance is predicted by the NAT (Beta = .431), promotion rate (Beta= 1.170), and enrollment rate (Beta = .747).  The management capability on quality instruction predicts the schools’ academic quality compliance on curriculum and learning (Beta = .971) and the academic quality compliance on accountability and continuous improvement is influenced by the management capability on quality instruction. The promotion rate of the school predicts the academic quality compliance of the school in the area of management of resources (Beta =.671). The hypothesis stating that the respondent's profile, institutional profile, and management capability, singly or combination predict the schools' academic quality compliance is partly sustained. 

A Response to “How to Sacrifice Academic Quality”

1980 ◽  
Vol 28 (2) ◽  
pp. 67-69
Author(s):  
C. T. K. Ching ◽  
W. W. Miller ◽  
J. R. Garrett
Keyword(s):  
Academic Quality

Bibliometric Study on the Highly Cited Papers and Correlation Between Citation Frequency and Download Frequency in Chinese Medicine Journals

2021 ◽  
pp. 2153004
Author(s):  
Qinghui Qu ◽  
Xinyang Zhang
Keyword(s):  
Chinese Medicine ◽  
Traditional Chinese Medicine ◽  
Academic Quality ◽  
Academic Journal ◽  
Research Papers ◽  
Highly Cited Papers ◽  
Natural Medicine ◽  
Citation Frequency ◽  
Highly Cited

The purpose of this paper is to retrieve and study the highly cited papers as well as the correlation between the citation frequency and the download frequency of the 20 traditional Chinese medicine journals in China, in order to provide the guidance for improving the influence and academic quality of these journals. Bibliometric analyses were conducted on 1103 papers of 20 traditional Chinese medicine journals from 2011 to 2020 by retrieving for the China Academic Journal Network Publishing Database (CAJD) in China National Knowledge Infrastructure (CNKI). SPSS 17.0 software was used to analyze the correlation between the citation frequency and the download frequency via conducting regression fitting and establishing the mathematical models. The results showed that the total citations of the 1103 papers were 93051 times and the average citations were 84.36 times per paper. The total downloads of the 1103 papers were 2058442 times, and the average downloads were 1866.22 times per paper. China Journal of Chinese Materia Medica ranked first according to the number of papers, total citations and total downloads. The citations of Journal of Chinese Medicinal Materials ranked first based on the number of citations per paper. One of Li’s paper had been cited the most (983 times). There were 629 (57.03%) papers whose first author was from universities. The scopes of the first authors were distributed in 29 regions and 2 special administrative regions (Macao, Hong Kong) in China. The authors from Beijing published 283 (25.66%) papers, ranking number one. The number of papers supported by funds was 882 (79.96%). The research results of correlation showed that the citation frequency and the download frequency of the highly cited papers had a highly positive correlation from both journal and paper level for whether the sample data of journals was normally distributed or nonnormally distributed. The correlation coefficients of the 20 journals at journal level and that at paper level were 0.9765 and 0.6677, respectively. The correlation was better at journal level than that at paper level, while the optimal regression fitting was all cubic polynomial. Among the 1103 papers, there were 684 (62.01%) research papers and 419 (37.99%) review papers. The main citation period of the top 15 papers was from the 2nd year to the 6th year after publication, accounting for 78.39%. Papers on clinical therapeutics research, papers on the pharmacological effects and its mechanism of traditional Chinese medicine, and papers on traditional Chinese medicine and natural medicine were the main source of the highly cited papers of the traditional Chinese medicine journals. Editors of the journals should focus on the above-mentioned research areas to select manuscripts for exploiting the excellent sources extensively, while paying attention to review papers, focusing on national major or key projects, paying attention to network spreading, stabilizing authors with quality services, in order to improve the influence and the academic quality of journals.

Accreditation and ranking of higher education institutions (HEIs): review, observations and recommendations for the Indian higher education system

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jerald Ozee Fernandes ◽  
Balgopal Singh
Keyword(s):  
Higher Education ◽  
Education System ◽  
Higher Education Institutions ◽  
Research Approach ◽  
Academic Quality ◽  
Content Type ◽  
Global Ranking ◽  
Higher Education System ◽  
The World ◽  
Indian Higher Education

PurposeThe higher education system has been entrusted globally to provide quality education, especially to the youth, and equip them with required skills and capabilities. The visionaries and policymakers of the countries around the world have been working relentlessly to improve the standard of the higher education system by establishing national and global accreditation and ranking bodies and expecting measuring performance through setting up accreditation and ranking parameters. This paper focuses on the review of Indian university accreditation and ranking system and determining its efficacy in improving academic quality for achieving good position in global quality accreditation and ranking.Design/methodology/approachThe study employed exploratory research approach to know about the accreditation and ranking issues of Indian higher education institutions to overcome the challenges for being globally competitive. The accreditation and ranking parameters and score of leading Indian universities was collected from secondary data sources. Similarly, the global ranking parameters and scores of these Indian universities with top global universities was explored. The performance gaps of Indian university in global academic quality parameter is assessed by comparing it with scores of global top universities. Further, each domestic and global accreditation and ranking parameters have been taken up for discussion.FindingsThe study identified teaching and learning, research and industry collaboration as common parameter in the accreditation and ranking by Indian and global accreditation and ranking body. Furthermore, the study revealed that Indian accreditation and ranking body assess leniently on parameters and award high scores as compared to rigorous global accreditation and ranking practice. The study revealed that “research” and “citations” are important parameters for securing prestigious position in global ranking, this is the reason Indian universities are trailing. The study exposed that Indian academic fraternity lack prominence in research, publication and citations as per need of global accreditation and ranking standards.Research limitations/implicationsThe limitation of this study is that it focused only on few Indian and global accreditation and ranking bodies. The future implication of this study will be the use of methodology designed in this study for comparing accreditation and ranking bodies’ parameters of different continents and countries in different economic development stages i.e. emerging and developed economies to know the disparity and shortcomings in their higher education system.Practical implicationsThe article is a review and comparison of national and global accreditation and ranking parameters. The article explored the important criteria and key indicators of accreditation and ranking that would provide an important and meaningful insight to academic institutions of the emerging economies of the world to develop its competitiveness. The study contributed to the literature on identifying benchmark for improving academic and higher education institution quality. This study would be further helpful in fostering new ideas toward setting up of contemporary globally viable and acceptable academic quality standard.Originality/valueThis is possibly the first study conducted with novel methodology of comparing the Indian and global accreditation and ranking parameters to identify the academic quality performance gap and suggesting ways to attain academic benchmark through continuous improvement activity and process for global competitiveness.

scholarly journals Quality assurance agencies: Creating a conducive environment for academic integrity

2019 ◽  
Vol 115 (11/12) ◽  
Author(s):  
Evelyn Garwe
Keyword(s):  
Higher Education ◽  
Quality Assurance ◽  
Academic Integrity ◽  
Ecosystem Approach ◽  
Leadership Role ◽  
Academic Quality ◽  
Quality Assurance Agency ◽  
Self Evaluation ◽  
Study Methodology ◽  
Conducive Environment

Academic integrity is a key measure of the quality, efficiency and competitiveness of higher education systems. This article explores how a quality assurance agency can foster a conducive environment for academic quality and integrity. A self-study methodology was used, with a focus on the insights and experiences of the Zimbabwe Council for Higher Education over a 10-year period. The findings show that by assuming an innovative and transformational leadership role in instilling a culture of self-evaluation, as well as maintaining its own integrity, an external quality assurance agency can improve academic integrity. The article adds value to the existing knowledge by advancing the higher education ecosystem approach as an integrity-based panacea and conducive way to induce integrity to flow from all players as opposed to the use of heavy-handed regulatory approaches.

scholarly journals Look Again, and Not Just at Behavioural and Cognitive Psychotherapy

2012 ◽  
Vol 40 (5) ◽  
pp. 511-512
Author(s):  
Paul Salkovskis
Keyword(s):  
Impact Factor ◽  
Cognitive Therapy ◽  
Clinical Relevance ◽  
Good News ◽  
Academic Quality ◽  
High Quality ◽  
Subject Category ◽  
On Line ◽  
Cognitive Psychotherapy

Take a look at our circulation and impact! As a journal we are high on circulation (about 10000 print copies including those to members, and an additional very substantial on-line readership). Our impact factor, which reflects the extent of attention our articles get in terms of citations by researchers worldwide, has been modest but steadily increasing. We are pleased to announce a further improvement in our Impact factor, from a healthy 1.491 in the previous year to its current 1.692. The Journal has also climbed 10 places in its subject category (Psychology, Clinical) and is now ranked higher than Cognitive Therapy and Research. This places us in an excellent position in the field. This is extremely good news, as it means that we are even more likely to be a target for high quality articles with the combination of good academic quality and clinical relevance.

scholarly journals Metode Jaringan Syaraf Tiruan Untuk Prediksi Performa Mahasiswa Pada Pembelajaran Berbasis Problem Based Learning (PBL)

2016 ◽  
Vol 6 (1) ◽  
pp. 46 ◽  
Author(s):  
Badieah Badieah ◽  
Rachmat Gernowo ◽  
Bayu Surarso
Keyword(s):  
Student Performance ◽  
Problem Based Learning ◽  
Academic Quality ◽  
Evaluation Team ◽  
Knowledge Variable ◽  
Group Heterogeneity ◽  
Academic Information ◽  
Artificial Neural Network Ann ◽  
Quality In Higher Education ◽  
Hidden Neurons

In order to improve academic quality in higher education, students’ performance evaluation is becoming important. To prevent increasing failure rate in the course, we need a system that is capable of predicting student’s performance in the end of the course. The research used several factors that are considered to affect students' performance on Problem Based Learning (PBL), such as students’ demography, students’ prior knowledge and group heterogeneity.  The method used in the study was Artificial Neural Network (ANN) with backpropagation training algorithm. Total 8 neurons were used as inputs for ANN which were obtained from gender variable (2 neurons), age variable (1 neuron), students’ average knowledge variable (1 neuron), students’ average skill variable (1 neuron) and group heterogeneity variable (3 neurons). Several different ANN architecture were tested in the study using 2, 7 and 12 hidden neurons respectively. Each architecture was trained using various different training parameters in order to find the best ANN architecture. Dataset used  in the research were obtained from Academic Information System in Faculty of Dentistry Unissula which contained Adult and Elderly Diseases Course’s participants from year 2009 to 2013. The ANN output were numeric values which represented students’ performance in Adult and Elderly Diseases Course. The output of this study is a system that is able to predict the student performance in block course. The result shows that using 7 hidden neurons in the network combining with 0.5 ,0.1 and  9000 for learning rate, momentum and epoch respectively, were the best ANN architechture and parameters in the study. The MSE obtained from validation test was 0,011926 with correlation coefficient (R) 0,796879. The prediction system are expected to help faculty and academic evaluation team to conduct actions to improve student’s academic performance and prevent them from failure in the course. 

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