Analysis on Test Cheating and its Solutions Based on Extenics and Information Technology

Wang, Jiamin; Ye, Tong; Ling, Mindan; Zhang, Anting; Hao, Liping; Li, Xingsen

doi:10.1016/j.procs.2015.07.102

Cited by 15 publications

(12 citation statements)

References 4 publications

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“…The finding of this research showed that two female students from rural areas and two male students from urban areas were indicated to cheat while working on the grammar test. This result was not in allignment with another finding which claimed that female students are engaged in cheating more serious than that of male students (Wang, et al, 2015). This study also revealed that the academic dishnonesty among the college students occurred with 4 of 70 students (5.71%).…”

Section: Figure 2 Test Information Function Of the Grammar Of Testcontrasting

confidence: 88%

“…A research found that low and high-level innovative cheating techniques were used by the students when dealing with tests, papers, group work, or clinical practice (Faucher & S, 2009). Another finding claimed that female students are engaged in cheating more serious than that of male students (Wang, et al, 2015). Another study also confirmed that what made the students cheat was because of their culture, school atmosphere, bad teaching, financial problems, age, gender, etc (Kalhori, 2014).…”

Section: Introductionmentioning

confidence: 99%

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How Does Rasch Model Reveal Dishonesty between Coastal Students and Easy Grammar Test?

Agust

2019

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Academic dishonesty can occur with the supports of the technology devices and it also can be prevented with the help of the technology with its applications like Rasch Model. It can give detail information of the analyzed data and can trace the academic dishonesty like cheating. The aims of this research are to (1) analyze the grammar test items whether they are difficult items or easy ones using Rasch Model, (2) know the percentage of those who are assumed to do cheating based upon their origins and sex, and (3) expose their patterns in working on the grammar test in the form of multiple choice through the Rasch Model analysis. The researcher hypothesized that the academic dishonesty i.e. cheating was undergone by students who are from rural and urban areas of Riau Archipelago Province. The results of this research were: (1) through the students’ responses analyzed by Rasch Model, the grammar test was for medium ability, (2) The Rasch Model revealed that the percentage came to the number 5.71% or 4 of 70 students who were identified to cheat while working on the grammar test. They were two female students from rural area and the other two male students from urban area, and (3) The Rasch Model revealed that their responses did not represent their ability. The Rasch Model has helped the researcher to exposes the cheating deeds on exams. The practitioners just need methods, approaches, strategies, techniques, and media to prevent them in the future Keywords: Rasch Model, Wright Maps, Grammar Test.

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Section: Figure 2 Test Information Function Of the Grammar Of Testcontrasting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

How Does Rasch Model Reveal Dishonesty between Coastal Students and Easy Grammar Test?

Agust

2019

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“…Grade is aimed to know the quality in every person, so there is a competition in getting high grade. Competition can become good and bad impact, as a research done by Wang et al, (2015) that desire to have good score is a pride, study abroad, or to be a leader are in the fourth place about the reasons why students do frauds. In this research, researcher also found that students did the fraud in order to get the best result.…”

Section: "The Definition Of Fraud Based On My Opinion Is Negative Thimentioning

confidence: 99%

Understanding the Meanings and Factors Motivating Academic Fraud: Exploration in Accounting Students

Dephiena

2020

E-Jurnal Akuntansi

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The purpose of this research is to depict the understanding of academic fraud and to elaborate the motivation to the perpetrators. This research uses qualitative approach with doing phenomenology variation of qualitative research with interview and literature documentation as the data collection method. The result of this research reveals the academic fraud conducted by the accounting student in breaking the rules, the existence of fraud culture that make student doing the academic fraud, and the ambition that motivate students to do fraud. Therefore, ambition as the motivation factor which underlined the academic fraud can be reduced by increasing the supervising more than usual. In line with the result of research that hopefully can be more contribute in to academic institution for make a better methods to decreasing the number of cheater. Keywords: Academic Fraud; Student Ethics; Fraud Definition; Fraud Motivation.

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“…One of them involves the use of information technologies for cheating ie. innovative, sophisticated mechanisms for cheating (Keresztury, Cser 2013: 1516Parks, Lowry, Wigand, Agarwal, Williams 2018: 308;Wang, Tong, Ling, Zhang, Hao, Li 2015: 1009Faucher, Caves 2009: 37). Srikanth and Asmatulu (2014: 129) state that these techniques include "cell phones, camera phones, earphones, MP3 players, graphing calculators, iPads, texting devices, monitoring devices, multifunctional watches, etc".…”

Section: Introductionmentioning

confidence: 99%

“…Students have many different reasons for cheating. Wang et al (2015Wang et al ( : 1010 classified them in two categories: characteristics of environment (e.g. classroom) and various possible human dependent situations which can occur during the test.…”

Section: Introductionmentioning

confidence: 99%

Cheating in Academic Context – Associations with Study Area, Study Year and Country

Đorić¹,

Blagojević²,

Papić³

2020

Узданица

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The paper presents research conducted in order to examine the differences in students' propensity to cheat on exams according to their area of study, year of study and country of study. One of specific goals was to determinate the most dominant reason for cheating. The sample included 210 students (of which 90 freshmen and 120 senior students) from two universities in Serbia (University of Kragujevac and University of Belgrade) (N = 168) and University of Applied Sciences in Austria (N = 42). The sample consisted of students whose studies were in the following scientific areas: electrical and computer engineering (N = 64), management and business (N = 56), production technology and organization (N = 42) and biological sciences (N = 48). Results indicate that, in general, students cheat relatively rarely. Cheating mostly occurs when students are helping their colleagues. On the other hand, cheating is least likely to happen with means of illicit materials. Specific results show that biology students use illicit resources less when compared with other groups of students; that production technology and organization students provide help to other students less than electrical and computer engineering students and management and business students and that Serbian students are more likely to provide help to others compared to Austrian students. However, there are limitations to these conclusions. First-year students have also been found to be less likely to cheat (use illicit resources and provide help to others) than older students.

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Analysis on Test Cheating and its Solutions Based on Extenics and Information Technology

Cited by 15 publications

References 4 publications

How Does Rasch Model Reveal Dishonesty between Coastal Students and Easy Grammar Test?

How Does Rasch Model Reveal Dishonesty between Coastal Students and Easy Grammar Test?

Understanding the Meanings and Factors Motivating Academic Fraud: Exploration in Accounting Students

Cheating in Academic Context – Associations with Study Area, Study Year and Country

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