Information Technology Literacy Impact on Research Results Publication

Ali, Muhammad Ichsan; Patak, Andi Anto; Rauf, Bakhrani A.; Abduh, Amirullah; Tahir, Muḥammad; Yasdin, Yasdin; Bassey, Samuel Akpan; Hassan, Zainuddin; Nurwahidah, -; Basalama, Nonny

doi:10.18517/ijaseit.12.1.14948

Cited by 8 publications

(10 citation statements)

References 28 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The supervisor is unsympathetic and meticulously reviews students' thesis references, making this fraud tough to prove. Students can be taught to critically examine material and sources to adhere to publication ethics [15].…”

Section: Validating Referencesmentioning

confidence: 99%

See 1 more Smart Citation

Exploring Mendeley-based thesis supervision model to avoid plagiarism

Patak

Tahir²,

Jahrir³

2022

IJERE

Self Cite

View full text Add to dashboard Cite

This study explored Mendeley-based thesis supervision models to avoid plagiarism. The focus of this study was four issues: i) Selecting the topic and deciding the thesis title; ii) Browsing and managing references; iii) Validating references; and iv) Matching ideas between the students’ arguments and citing other authors’ statements. This study employed a qualitative method with a case study design to explore an in-depth understanding of the Mendeley-based thesis supervision model to avoid plagiarism. Researchers posted a call for an interview in social media group for an English as a Foreign Language (EFL) lecturer in South Sulawesi, Indonesia. There were 15 EFL lecturers applied, but only four met the criteria. The criteria for choosing the participant are based on the Mendeley presentation experience, full-time teaching career, and willingness to participate in virtual interview sessions. There were two participants from a public university, one was from a private university, and the other was from a state Islamic university. A semi-structured interview technique was applied in this study. This study employed thematic analysis to explore participants' responses. This study reported that supervisors experienced different cases from the four items identified in this study. They are: i) Selecting the topic and deciding the thesis title, ii) Browsing and managing references; iii) Validating references; and vi) Matching ideas between the students' arguments and citing other authors’ statements.

show abstract

Section: Validating Referencesmentioning

confidence: 99%

“…The supervisor should also carefully examine the references that students cite for the anticipated actions of students who change the reference title of Indonesian into English as if the original reference is English. Students can be educated to evaluate information and sources critically [15].…”

mentioning

confidence: 99%

Exploring Mendeley-based thesis supervision model to avoid plagiarism

Patak

Tahir²,

Jahrir³

2022

IJERE

Self Cite

View full text Add to dashboard Cite

show abstract

“…The use of technology-assisted language learning and analysis has become one of the important tools in the current global digital wave for many reasons. Firstly, technology can assist in the publication of the paper and provide an alternative solution for academic writing (Ali et al, 2022). Secondly, the use of digital technology in a language context can be a source for learning and help measure the impact on language learners (Sauda et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

The Compleat Lextutor Application Tool for Academic and Technological Lexical Learning: Review and Bibliometric Approach

Abduh,

Mulyanah,

Darmawati

et al. 2023

Indonesian J. Sci. Technol

View full text Add to dashboard Cite

This research aims to portray the current representation of the term “technology” in association with other related terms in language education. The method used for this study is the combination of content analysis representation of both compleat lextutor analytical tool and bibliometric approach. The finding of the research is that four basic areas relate to language and technology in language training: multiculturalism and technology become a central theme; the technology in language skill, knowledge, and assessment; technology and thinking; and technology in language and linguistics. This research implies that educators should be able to utilize available practical technological tools for teaching, learning, analyzing, and modeling language education. Further, this research has been limited to the area of published manuscripts of language education which may cover specifically non-empirical primary data. Therefore, further empirical research may bolster the current findings of the bibliometric research on language and technology in language education.

show abstract

“…The data from the sources above are merged with information on human activity (social media, public transport, etc.) [54], [55]. Historical and online data analysis is accepted by the traffic data availability, thanks to analyzing traffic data that can create the transport model, identify bottlenecks, and help to find out the cause of the accidents.…”

Section: Introductionmentioning

confidence: 99%

Applications of Big Data Analytics in Traffic Management in Intelligent Transportation Systems

Nguyen

Bui³

2022

JOIV : Int. J. Inform. Visualization

View full text Add to dashboard Cite

Big Data technology is emerging as a mass technology that can be applied to many industries in life. Decisions in a wide range of fields may benefit greatly from the information provided by Big Data and Analytics research. One of the areas that have benefited the most from this technology is transportation, which is known as an important field in the development of each nation and possesses a huge treasure of data that traditional technologies cannot handle. Indeed, many countries have applied Big Data-based intelligent transportation systems because it is a traffic system that interacts with vehicles and people on the road, thereby reducing traffic congestion and traffic accidents year by year in many countries. The article presents the applications of Big Data technology in smart traffic systems, thereby providing the perspective of a smart city with a smart traffic system as a critical factor. This paper's analysis indicated that smart cities could be born and further developed through the linkage of Big Data technology and smart traffic systems with smart traffic systems as the core. In addition, the results also showed that the obstacle that needs to be studied at this time is the policy and legal framework for Big Data technology. Therefore, a system managed by the state or shared between the state and the private sector should be studied in the future, aiming to harmonize interests and develop the system extensively.

show abstract

Information Technology Literacy Impact on Research Results Publication

Cited by 8 publications

References 28 publications

Exploring Mendeley-based thesis supervision model to avoid plagiarism

Exploring Mendeley-based thesis supervision model to avoid plagiarism

The Compleat Lextutor Application Tool for Academic and Technological Lexical Learning: Review and Bibliometric Approach

Applications of Big Data Analytics in Traffic Management in Intelligent Transportation Systems

Contact Info

Product

Resources

About