scholarly journals Teachers’ Feedback Practice and Students’ Academic Achievement: A Systematic Literature Review

2021 ◽  
Vol 20 (1) ◽  
pp. 308-322
Author(s):  
Anne Malar Selvaraj ◽  
Hazita Azman ◽  
Wahiza Wahi
Keyword(s):  
Academic Achievement ◽  
Academic Performance ◽  
Literature Review ◽  
Learning Strategies ◽  
Systematic Literature Review ◽  
Learning Opportunities ◽  
Time Constraints ◽  
Academic Needs ◽  
Comprehensive Review ◽  
Written Form

Previous literature on teachers’ feedback practices has revealed that feedback has a strong effect on students’ academic performance. Nevertheless, feedback is a challenge for teachers to use in teaching and the learning environment due to time constraints and teachers’ inability to provide students with feedback they need for self-improvement. Furthermore, teachers are often unsure whether the feedback given will meet students’ academic needs as students have to work on improving themselves after receiving feedback from their respective teachers. Hence, it is necessary to determine how teachers’ feedback correlates with students’ performance in school. Feedback highlights students’ strengths guides them on how to develop and regulate their learning strategies. Feedback also provides better learning opportunities, while simultaneously guiding them to improve their current weaknesses. This paper presents a comprehensive review of past studies about feedback and its impacts on students’ learning in the classroom. This paper is using systematic literature review (SLR) to explore the connection between students’ academic performance and teachers’ feedback. The analysis discovered that although teachers’ feedback played a significant role in helping students improve themselves academically and in motivating them to become independent, feedback, particularly in written form, could negatively influence or impede learning.

Estratégias de aprendizagem autorregulada e formação inicial de professores de Geografia: uma revisão sistemática de literatura1 | Self-regulated learning strategies and initial education of Geography teachers: A systematic literature review

2020 ◽  
Vol 25 ◽  
pp. 1
Author(s):  
Liz Cristiane Dias ◽  
Evely Boruchovitch
Keyword(s):  
Literature Review ◽  
Learning Strategies ◽  
Systematic Literature Review ◽  
Electronic Library ◽  
Self Regulated Learning ◽  
Regulated Learning ◽  
America Latina

Este artigo objetiva averiguar, com base em uma revisão sistemática de literatura, o investimento em estratégias de ensino e aprendizagem autorregulada em cursos de Licenciatura em Geografia. Os dados foram coletados nas bases de dados Scientific Electronic Library Online, Red de Revistas Cientificas de America Latina y el Caribe, España y Portugal e na Plataforma Sucupira da Coordenação de Aperfeiçoamento de Pessoal de Nível Superior em periódicos da Geografia com classificação Qualis A1, A2 e B1 dos últimos cinco anos. A busca pelos trabalhos teve como resultado o total de 154 artigos. Destes, apenas 25 tratavam especificamente da formação inicial de professores e, dentre estes, apenas 8 atendiam às demandas da pesquisa. Os resultados revelaram a necessidade de mais investimento em programas de intervenção em estratégias de aprendizagem e a necessidade de pesquisas futuras que disseminem na Geografia a temática da autorregulação.

scholarly journals Spam Review Detection Techniques: A Systematic Literature Review

2019 ◽  
Vol 9 (5) ◽  
pp. 987 ◽  
Author(s):  
Naveed Hussain ◽  
Hamid Turab Mirza ◽  
Ghulam Rasool ◽  
Ibrar Hussain ◽  
Mohammad Kaleem
Keyword(s):  
Feature Extraction ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Online Reviews ◽  
Detection Methods ◽  
Spam Detection ◽  
Successful Implementation ◽  
Comprehensive Review ◽  
Detection Techniques ◽  
Review Spam

Online reviews about the purchase of products or services provided have become the main source of users’ opinions. In order to gain profit or fame, usually spam reviews are written to promote or demote a few target products or services. This practice is known as review spamming. In the past few years, a variety of methods have been suggested in order to solve the issue of spam reviews. In this study, the researchers carry out a comprehensive review of existing studies on spam review detection using the Systematic Literature Review (SLR) approach. Overall, 76 existing studies are reviewed and analyzed. The researchers evaluated the studies based on how features are extracted from review datasets and different methods and techniques that are employed to solve the review spam detection problem. Moreover, this study analyzes different metrics that are used for the evaluation of the review spam detection methods. This literature review identified two major feature extraction techniques and two different approaches to review spam detection. In addition, this study has identified different performance metrics that are commonly used to evaluate the accuracy of the review spam detection models. Lastly, this work presents an overall discussion about different feature extraction approaches from review datasets, the proposed taxonomy of spam review detection approaches, evaluation measures, and publicly available review datasets. Research gaps and future directions in the domain of spam review detection are also presented. This research identified that success factors of any review spam detection method have interdependencies. The feature’s extraction depends upon the review dataset, and the accuracy of review spam detection methods is dependent upon the selection of the feature engineering approach. Therefore, for the successful implementation of the spam review detection model and to achieve better accuracy, these factors are required to be considered in accordance with each other. To the best of the researchers’ knowledge, this is the first comprehensive review of existing studies in the domain of spam review detection using SLR process.

scholarly journals Blockchain in healthcare

2019 ◽  
Vol 23 ◽  
Author(s):  
Maria Prokofieva ◽  
Shah J Miah
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Healthcare Information ◽  
Comprehensive Review ◽  
Research Opportunities ◽  
The Future ◽  
Potential Applications ◽  
Major Application

Blockchain is treated as a ledger system that manages data and their transactions using time-stamped blocks through cryptography and works in a decentralised manner over the computing network. Although blockchain is originally used as a backbone for the cryptocurrency, Bitcoin, its capabilities and applications have yet to be extended far beyond cryptocurrencies. In this paper, through conducting a latest systematic literature review aiming to produce new source of evidence, we identify potential applications of the blockchain technologies in healthcare. The comprehensive review looks at the professional and academic open-sourced journals published between 2008 to 2019 to recognise the potential of blockchain based approaches in the purpose of healthcare information disseminations, as well as to segregate issues for the implementation and development of blockchain applications. We identify several major application domains that present research opportunities and challenges for the future advancements and directions for the benefits of IS researchers and professionals.

scholarly journals Using Big Data to Measure Tourist Sustainability: Myth or Reality?

2019 ◽  
Vol 11 (20) ◽  
pp. 5641 ◽  
Author(s):  
Yamilé Pérez Guilarte ◽  
Daniel Barreiro Quintáns
Keyword(s):  
Big Data ◽  
Literature Review ◽  
Knowledge Base ◽  
Systematic Literature Review ◽  
International Standards ◽  
Comprehensive Review ◽  
The Creation

The concern about the production of international standards to measure the sustainability of tourism is present today, especially the discourse on the introduction of new sources. This article aims to survey and describe the main approaches and methodologies to use big data to measure tourism sustainability. Successful cases are addressed by explaining the main opportunities and challenges for the creation of official tourist statistics. A comprehensive review of publications regarding this field was carried out by applying the systematic literature review technique. This contributes a knowledge base to destination management organisations to encourage the implementation of official tourism statistics systems using big data.

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