Research Article
Carmen Köhler, Johannes Hartig
CONT ED TECHNOLOGY, Volume 16, Issue 4, Article No: ep528
ABSTRACT
Since ChatGPT-3.5 has been available to the public, the potentials and challenges regarding chatbot usage in education have been widely discussed. However, little evidence exists whether and for which purposes students even apply generative AI tools. The first main purpose of the present study was to develop and test scales that assess students’ (1) knowledge about ChatGPT, (2) actual ChatGPT usage and perceived value of use, and (3) attitude towards ChatGPT. Our second aim was to examine the intercorrelations between these scales, and to investigate differences (a) across five academic fields (i.e., human sciences, social sciences, teaching profession, health sciences, and law and economics) and (b) between stages of education (i.e., number of semesters). N = 693 students from various German universities participated in our online survey. Quality checks (Cronbach’s alpha, MacDonald’s omega, and confirmatory factor analyses) show satisfactory results for all scales. The scales all positively relate to each other, except for the knowledge and attitude scales. This means that more knowledge about ChatGPT is connected to a less favorable attitude regarding the generative AI tool. Lastly, MANOVA and subsequent Bonferroni corrected ANOVA tests show that ChatGPT is mostly used by law and economics students, and most frequently by students in the third year of higher education.
Keywords: ChatGPT in higher education, student knowledge, student use, student attitude, scale development, assessment, large language models (LLMs)
Research Article
Muhammad S Bawa’aneh
CONT ED TECHNOLOGY, Volume 13, Issue 3, Article No: ep304
ABSTRACT
In the current circumstances, the second wave of COVID-19 Pandemic is spreading and we seem to have to live longer with most of the urgent measures taken in early 2020 to fight the spread out of the pandemic; of which is school closure. The present study aims at investigating students’ satisfaction, attitudes and challenges in UAE public schools during the distance learning time of the third trimester of the academic year 2019-2020. The study also aims to measure differences of satisfaction level, attitudes, and challenges across gender and geographic places of residence within the UAE. Data collection started eight weeks after the commencement of the distance learning process and continued for two weeks. The first eight weeks that preceded data collection witnessed a continuous update of the, previously rich and well established, educational plans in line with continuous development plan for students and instructors that included intensive training for students and instructors on the use of up-to-date educational technologies. That has reflected on the results of the study, where the student satisfaction level, attitudes and challenges were found to lie within the “strong” category indicating high satisfaction level, positive attitude, and minimum faced challenges, with statistically significant differences in the mean across gender and residency for some cases. Such positive result is directly related to the fact that students of the UAE public schools were partially exposed to electronic learning even before the pandemic, the tremendous efforts of the ministry of education to guarantee smooth transfer to full distance learning after the outbreak of the pandemic, and the well established infrastructure of the country.
Keywords: student satisfaction, student attitudes, student challenges, distance learning, e-learning, virtual classes, COVID-19
Research Article
Zhwan Dalshad Abdullah, Azidah Bit Abu Ziden, Rahimi Binti Chi Aman, Khalid Ismail Mustafa
CONT ED TECHNOLOGY, Volume 6, Issue 4, pp. 338-354
ABSTRACT
The present quantitative study aims to find out the underlying factors of attitudes towards information technology and the relationship with academic achievement among students, through a self-developed questionnaire. The attitudes of the respondents were assessed in terms of three dimensions; namely affection, behavior, and belief. The results revealed a statistically significant difference between Arts and Science students in terms of their attitude towards IT in favor of Science students, and also proved that there was no statistically significant correlation between students' academic achievement and their attitudes towards IT. While students at the medium level of academic achievement tended to score higher on the affection toward IT comparing with students at the satisfactory level of the academic achievement. The results of this study provide information for policy makers, and the researchers who are interested in understanding the factors that affect technology use by students in their learning.
Keywords: Student attitudes, Information technology, Academic achievement, Students’ disciplines