Journal Of Computational Research Articles

Formulating a conjecture through an identification of robust invariants with a dynamic geometry system

Conjecturing has been considered to inspire the need for proof, enhance the understanding of proofs, and construct a valid proof. This study describes students’ processes of formulating a Euclidean geometry conjecture in the form of a conditional statement through constructing a geometric figure and using measuring and dragging modalities of a dynamic geometry system (DGS). To accomplish this aim, we adapted the existing conjecturing model by Baccaglini-Frank and Mariotti ([2010]. Generating conjectures in dynamic geometry: The maintaining dragging model. International Journal of Computers for Mathematical Learning, 15(3), 225–253. https://doi.org/10.1007/s10758-010-9169-3) and used it to analyse students’ conjecturing processes. Our participants were prospective mathematics teachers (PMTs) during their first year at an Indonesian university, but the findings can be useful for secondary school students in other countries. We selected and categorized episodes from task-based interviews with eight PMTs a week after a teaching intervention. We interpreted their identification of robust invariants during constructing, dragging, and measuring. Our findings indicated that the adapted model was appropriate to describe PMTs’ processes of conjecturing, which emerged through an exploration that involved robust invariants. We found that PMTs determined these invariants as premises or conclusion of the conjecture by observing the measure of parts of the constructed figure during dragging. The findings indicated that the measuring and dragging modalities of DGS supported PMTs in conjecturing.

Guest Editorial: Learning, optimisation and control of cyber‐physical systems

Guest Editorial: Learning, optimisation and control of cyber‐physical systems

Research Trends on the Use of Augmented Reality Technology in Teaching English as a Foreign Language

The main aim of this research is to display research trends in studies on augmented reality (AR) in teaching English as a foreign language by using bibliometric mapping and content analysis. For this purpose, 64 studies in total published up to 2019 were accessed for bibliometric analysis. In addition, 49 articles published between 2007 and 2019 were reached for content analysis. The bibliometric mapping results indicated that related studies mostly focused on the effectiveness of mobile and ubiquitous learning. In addition, early childhood education, mobile learning, and gamification have become the focus of recent research. While Thorne, Azuma and Squire are the mostly cited authors in this field, Computers & Education, Educational Technology & Society, British Journal of Educational Technology and Computers in Human Behavior are among the journals cited most. Content analysis results revealed that academic achievement and motivation were the most commonly examined variables in the studies. These results revealed that most of the studies were grounded on quantitative research designs, especially experimental designs. Questionnaires and achievement tests were the most used data collection tools. While purposive sampling was the most preferred sampling method, there was an increase in the adoption of random sampling in 2011. Finally, descriptive statistics, T-tests, ANOVA-ANCOVA, and correlation analysis were mostly performed quantitative analysis methods, and content analysis was mostly used in qualitative analysis.

Digitalising food manufacturing

Digitalising food manufacturing

Editorial For Vol.29, No.3

The four papers that make up the September 2021 issue (Vol. 29, No. 3) of CIT. Journal of Computing and Information Technology cover the areas of countering malicious activities in social networks, predictions in intelligent agriculture, use of artificial intelligence in the judiciary, and modeling of intelligent logistics.

Onward and upward

In this editorial, I pass on to a new team. South African Computer Journal has moved a long way since I took over as editor-in-chief 10 years ago and I am pleased that we have a new, enthusiastic team who will take it to new heights.
 Katherine Malan is the new editor-in-chief and Etienne van der Poel takes over from James Dibley as production editor.
 I did the main work of marshalling papers to this issue and Katherine and Etienne have shared the work of final layout and checks. All this is made easier because of the excellent job James did of designing our LaTeX style.

Detection and Classification of DDos Attack on Software Defined Network

Software-Defined Networking (SDN) is a new network paradigm that changes network architecture. However, it turns out that the SDN network also has several issues, one of which is security. The higher the traffic on the network, the higher the possibility of security threats that will occur. Therefore, it is necessary to detect attacks that might occur on this SDN network. This study will detect attacks on the SDN network with the stages carried out, namely the process of building an SDN architecture using a mininet emulator, then network simulation according to the topology, retrieval of traffic data using wireshark and performing data analysis using the Weka application on the NSL KDD dataset. The results of this research found that a DDos attack a ping of death is an attack that sends messages continuously to the recipient, causing the computer to crash, then analysis of attack classification data is carried out using a dataset to compare machine learning algorithms that have high accuracy was Random Forests. The targeted output in this research is published in the Journal of Computing.

Challenging the security of “A PUF-based hardware mutual authentication protocol”

Recently, using Physical Unclonable Functions (PUF) to design lightweight authentication protocols for constrained environments such as the Internet of Things (IoT) has received much attention. In this direction, Barbareschi et al. recently proposed PHEMAP in Journal of Parallel and Distributed Computing, a PUF based mutual authentication protocol. Also, they extended it to the later designed Salted PHEMAP, for low-cost cloud-edge (CE) IoT devices.This paper presents the first third-party security analysis of PHEMAP and Salted PHEMAP to the best of our knowledge. Despite the designer's claim, we show that these protocols are vulnerable to impersonation, de-synchronization, and traceability attacks. The success probability of the proposed attacks is ‘1’, while the complexity is negligible. In addition, we introduce two enhanced lightweight authentication protocols based on PUF chains (called PBAP and Salted PBAP), using the same design principles as PHEMAP and Salted PHEMAP. With the performance evaluation and the security analysis, it is justified that the two proposed schemes are practically well suited for use in resource-constrained IoT environments.

Editorial For Vol.29, No.2

The June 2021 issue (Vol. 29, No. 2) of CIT. Journal of Computing and Information Technology brings four papers from the areas of control systems, network security and privacy, and natural language processing.

JCISE Editorial – August 2022

JCISE Editorial – August 2022

Editorial of Number 2 Volume 9 of Latin-American Journal of Computing

Editorial of Number 2 Volume 9 of Latin-American Journal of Computing

Thirty‐five years of the Journal of Computer Assisted Learning: A bibliometric overview

AbstractBackgroundJournal of Computer Assisted Learning (JCAL), which started its publication life in 1985, is a leading international journal in the field of computer and instructional technologies and celebrated its 35th anniversary in 2020.ObjectivesThis study aims to provide a bibliometric overview of leading publication and citation trends of JCAL over the past 35 years. In order to achive the aim of the study, metadata of all the articles (N = 1305) published in the journal in this process were obtained from the Scopus database.MethodsThe study includes JCALs bibliometric analyses such as the total number of articles and citations, h‐index, citations per paper, citations per year, citation thresholds, average number of citations per year and annual citation counts between 1985 and 2020. In addition, the study presents visual maps based on citation, co‐citation, bibliographic coupling, co‐authorship and co‐occurrence of author keywords with a bibliometric mapping analysis performed with VOSviewer software.Results and ConclusionsThe results indicate that JCAL has become one of the leading journals over time in the field of computer and instructional technologies, as indicated by citation counts of articles published in JCAL, receiving citations from publications in esteemed journals, and publishing international rigorous work. Additionally, researchers who have published in JCAL in recent years have directed their attention to subjects such as learning analytics, massive open online courses (MOOCs), multimedia learning, game‐based learning, blended learning, online learning, mobile learning and virtual reality.ImplicationsFurther investigation of the scientific collaboration of authors who conduct research in different disciplines related to education, topics and education levels may yield more diverse perspectives.

What is new in respiratory monitoring?

This paper provides a review of a selection of papers published in the Journal of Clinical Monitoring and Computing in 2020 and 2021 highlighting what is new within the field of respiratory monitoring. Selected papers cover work in pulse oximetry monitoring, acoustic monitoring, respiratory system mechanics, monitoring during surgery, electrical impedance tomography, respiratory rate monitoring, lung ultrasound and detection of patient-ventilator asynchrony.

Social Media Analysis of Customer Emotions in Pizza Industry

Abstract The paper, ’Social Media Analysis of Customer Emotions in Pizza Industry’ by Muhammad Umar Nasir, Urva Rehmat and Imran Ahmad, published in The Computer Journal (April 2022), looks at social media influence on UK pizza sales.

Risk of bias for randomized controlled trials in Journal of Clinical Monitoring and Computing.

Well-designed randomized controlled trials (RCTs) are considered to represent a high level of evidence and influence medical decision-making in evidence-based medicine. When biases occur in study design, processing, and reporting of RCTs, however, it is difficult to interpret results and judge the impact of interventions. Accordingly, we evaluate the quality of RCT reporting published in the Journal of Clinical Monitoring and Computing (JCMC) using three assessment tools. Reporting quality of RCTs published in the JCMC was evaluated through December 31, 2020, using Jadad and van Tulder scales and the Cochrane Collaboration's risk of bias tool (CCRBT). Stepwise regression analysis was performed to identify factors associated with reporting quality. Database searches confirmed 132 RCTs in 1,507 original articles. The numbers of RCTs meeting criteria for high reporting quality were 97 (73.5%) using the Jadad scale, 99 (75.0%) using the van Tulder scale, and 19 (14.4%) with the CCRBT. Jadad scores [median score (interquartile range) = 3.0 (2.0-5.0), coefficients (95% CI) = 0.08 (0.04, 0.11), p < 0.001], van Tulder scores [median score (interquartile range) = 7.0 (5.0-8.75), coefficients (95% CI) = 0.15 (0.11, 0.20), p < 0.001], and CCRBT assessment [coefficients (95% CI) = 0.04 (0.02, 0.06), p < 0.001] increased significantly with publication year. The median score (interquartile range) of the last 5 years were 4.0 (3.0-5.0) in Jadad scores, and 8.0 (6.0-9.0) in van Tulder scores. Only 33.3% and 37.1% of articles described detailed blinding and allocation methods, respectively. Reporting quality increased over time, with consistently high reporting quality in recently published JCMC RCTs.

Issue Information

No abstract is available for this article.

Issue Information

Journal of Computer Assisted LearningVolume 38, Issue 3 ISSUE INFORMATIONFree Access Issue Information First published: 21 April 2022 https://doi.org/10.1111/jcal.12563AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL No abstract is available for this article. Volume38, Issue3June 2022 RelatedInformation

Comprehensive Study for Breast Cancer Using Deep Learning and Traditional Machine Learning

Comprehensive Study for Breast Cancer Using Deep Learning and Traditional Machine Learning

Trends and Issues in MOOC Learning Analytics Empirical Research: A Systematic Literature Review (2011–2021)

Learning analytics (LA) is a growing research trend and has recently been used in research and practices in massive open online courses (MOOCs). This systematic review of 166 articles from 2011–2021 synthesizes the trends and critical issues of LA in MOOCs. The eight-step process proposed by Okoli and Schabram was used to guide this systematic review in analyzing publication outlets, research purposes and methods, stakeholders, and researchers’ geographic locations and subjects. The review showed that MOOC LA research is primarily published in top-tier journals, such as the Journal of Learning Analytics, Journal of Computer Assisted Learning, and Computers & Education, as well as conference proceedings. The review also revealed that LA in MOOCs was used more frequently for the purpose of research than for practice (i.e., learning and teaching). Approximately 60% of the reviewed studies adopted learners’ log data and achievement data as the primary data sources. Statistics, machine learning, content analysis, social network analysis, text analysis, and data visualization were the top six specific data analysis techniques used in the MOOC LA studies. Regarding collaboration, more than half of the reviewed studies involved interdisciplinary collaborations, and approximately one-third involved international collaborations. We suggested future studies on MOOC LA interventions to improve learning and teaching practices, and the active interdisciplinary collaboration to increase the rigor of the studies and the dissemination of the knowledge. More detailed discussion and implications for research and practice are presented. This research provides insights on future research and practices regarding LA use in MOOCs.

Editorial For Vol.29, No.1

This March 2021 issue (Vol. 29, No. 1) of CIT. Journal of Computing and Information Technology brings four papers from the areas of security and privacy, interactive learning environments, modeling and simulation, and natural language processing.