Research Article
Alaa Zuhir Al-Rawashda, Laid Bouakaz, Asma Rebhi Al-Arab
CONT ED TECHNOLOGY, Volume 18, Issue 1, Article No: ep633
ABSTRACT
This study aimed to assess the degree of university students’ awareness and use of artificial intelligence applications, specifically chat generative pre-trained transformer (ChatGPT), within the educational process in the United Arab Emirates (UAE). The descriptive-analytical method was employed, using a questionnaire distributed to a sample of 608 male and female students from Ajman University, representing a population of 6,072. The results revealed that university students have a high overall level of awareness (mean = 3.72, standard deviation = 0.83). A detailed analysis of the underlying dimensions of awareness identified four key factors: skills development, problem-solving, information exchange, and knowledge acquisition. While the overall awareness was high, the level of awareness regarding the use of artificial intelligence (AI) for skills development, problem-solving, and information exchange was average, with only the dimension of knowledge acquisition scoring high. Furthermore, the results showed no statistically significant differences in awareness levels based on gender or academic level. However, significant differences were found based on college, with students in scientific colleges reporting higher awareness than those in humanitarian colleges in the dimensions of skills development and problem-solving. The study recommends developing differentiated training programs and integrating AI tools into the curriculum under educator guidance to bridge the gap between basic awareness and advanced application. It also emphasizes that the use of applications like ChatGPT should not be absolute but must be guided and controlled by educators, and it advises incorporating an educational and social aspect into these technologies to suit the nature of the society.
Keywords: university student awareness, artificial intelligence applications, ChatGPT, educational process, UAE
Research Article
Adán López-Mendoza, Ramón Ventura Roque-Hernández, Rolando Salazar-Hernández
CONT ED TECHNOLOGY, Volume 18, Issue 1, Article No: ep624
ABSTRACT
Technological advancements, particularly those associated with artificial intelligence (AI), have significantly transformed the educational landscape. The ChatGPT tool, developed by OpenAI and launched in 2022, has garnered considerable interest from users globally. This study aims to characterize the perceptions of IT students regarding ChatGPT, exploring variations based on gender and employment status, while also examining the relationships between these perceptions, age, completed semesters, and usage intensity. A comprehensive literature review on AI, with a focus on the ChatGPT tool, was conducted. A questionnaire was distributed to 72 undergraduate IT students to assess their perceptions of ChatGPT usage. The questionnaire encompasses three key areas: confidence, intention to use, and current utilization of the tool. Findings indicate a weak to moderate correlation between the intensity of ChatGPT usage and the statement, “I am willing to make decisions based on ChatGPT recommendations.” Additionally, a weak relationship was observed between usage intensity and the perception that “ChatGPT is trustworthy in terms of reliability and credibility,” as well as between usage intensity and the willingness to use ChatGPT in the future.
Keywords: chatbot, artificial intelligence, educators, university students
Research Article
Mailizar Mailizar, Ega Gradini, Tommy Tanu Wijaya, Abdulsalam Al-Manthari
CONT ED TECHNOLOGY, Volume 17, Issue 4, Article No: ep590
ABSTRACT
This study aims to examine the factors that influence university students’ behavioral intention in accepting video-conferencing for learning mathematics in the post-COVID-19 era. Video-conferencing as a learning tool has been widely used to establish effective communication among learners, teachers, and peers. This is particularly valuable in situations where face-to-face communication is not possible, such as during the COVID-19 pandemic. As the pandemic comes to an end, it is unclear whether video-conferencing will continue to be widely used as a teaching and learning tool. This study extends the technology acceptance model (TAM) by adding digital literacy (critical use, technology focused, and digital reading) and social presence (SC) as external factors. Extended TAM with digital literacy and SC as factors provide understanding on how university students’ digital literacy level and their connection and engagement with others influences their acceptance of video-conferencing for learning. The participants include 238 students from six universities in Indonesia (three public universities and three private universities), who enrolled in bachelor’s degree of mathematics and mathematics education. The questionnaire consisted of 40 items administered online to students selected by random sampling. A partial least square-structural equation modelling approach was used to analyze the measurement model, test the path, and draw conclusions. The findings of this study shows that attitude is the most important factor that has influenced the intention to employ video-conferencing after a pandemic situation. In addition, SC is considered the most significant factor in students’ attitudes towards the use of video-conferencing in the post-COVID-19 era.
Keywords: TAM, video conferencing acceptance, post-COVID-19, university student
Research Article
David Javier-Aliaga, Oscar Rubén Silva Neyra, Yaquelin E. Calizaya-Milla, Jacksaint Saintila
CONT ED TECHNOLOGY, Volume 16, Issue 4, Article No: ep540
ABSTRACT
The objective of this study is to determine the relationship between academic self-efficacy and digital competence in a sample of undergraduate university students in Peru. The design was nonexperimental, cross-sectional, and correlational. The non-probabilistic sample consisted of 98 students from a private university in Peru. Academic self-efficacy single-item scale and digital competence questionnaire were used. Spearman correlation coefficient, Kolmogorov-Smirnov test, and Mann-Whitney U test were used for statistical analysis. The statistical program used was SPSS v. 25. The average academic self-efficacy obtained was 3.73 (standard deviation [SD]=0.73). Regarding digital competence, the mean recorded was 72.34 (SD=11.57). Additionally, it was found that there were no significant differences in academic self-efficacy and digital competence according to gender (p>0.05). Similarly, it was found that there is a significant correlation between academic self-efficacy and digital competence in students (rho=0.438; p<0.001). Similarly, it was found that there is a correlation between academic self-efficacy and the five dimensions of digital competence (information, communication, content creation, technological security and problem-solving) in university students (p<0.05). This research could contribute to the development of programs, courses, or psychoeducational strategies for the development of academic self-efficacy and digital competence in university students.
Keywords: academic self-efficacy, digital competence, DigComp 2.0, DigCompEdu, university students
Research Article
Yong Jik Lee, Robert O. Davis
CONT ED TECHNOLOGY, Volume 16, Issue 4, Article No: ep533
ABSTRACT
This research investigated the effects of generative AI on affective factors (motivation, interest, and confidence) of English as a foreign language (EFL) learners enrolled in Korean university-level general English courses. During the Spring 2024 semester, this study involved 89 participants exposed to a generative AI-based instruction model. Compared to traditional methodologies, these results highlight the potential effectiveness of generative AI-based English instruction for writing and speaking in supporting linguistic proficiency and positive affective attitudes toward language learning among EFL learners.
Keywords: general English courses, English writing and speaking, generative AI, university students, EFL
Research Article
Alfiya R. Masalimova, Marina R. Zheltukhina, Olga V. Sergeeva, Zhanna M. Sizova, Philipp N. Novikov, Albina R. Sadykova
CONT ED TECHNOLOGY, Volume 16, Issue 1, Article No: ep488
ABSTRACT
The proliferation of technology and the heightened significance of e-learning in the midst of the COVID-19 pandemic transformed the perspectives and attitudes of educational stakeholders toward educational technology. The objective of this research was to explore the attitudes of higher education students toward e-learning. Data collection was conducted via a questionnaire. The findings demonstrated that the key benefit of e-learning, as reported by a substantial majority (77.0%) of participants, is the convenience of studying from home. This is closely followed by the advantage of learning at one’s own pace, as 69.4% of respondents expressed. A considerable proportion (58.8%) highlighted the comfort factor associated with e-learning, along with the cost-saving aspect of reduced expenses on accommodation and transportation. Other advantages included the ability to access course materials remotely (57.6%) option to record meetings online (51.1%), regarding disadvantages of e-learning, the majority (59.4%) of respondents indicated that e-learning limits interaction with others, followed by social isolation (44.1%), lack of self-discipline (43.5%), internet problems (43.5%). The results showed that e-learning was perceived to be less effective compared to conventional face-to-face learning. Also, we showed that, in general, there is no significant relationship between socio-demographic variables and attitudes toward e-learning. Only a few significant relationships were found regarding demographic variables on attitudes. We made educational implications for the next studies on our results.
Keywords: higher education students, university students, undergraduate students, e-learning, attitudes
Review Article
Lyudmila S. Chikileva, Alexey A. Chistyakov, Maryana V. Busygina, Alexey I. Prokopyev, Elena V. Grib, Dmitry N. Tsvetkov
CONT ED TECHNOLOGY, Volume 15, Issue 4, Article No: ep449
ABSTRACT
The purpose of this research is to review peer-reviewed articles on the effects of e-learning on the academic performance of university students. The SCOPUS database was searched for peer-reviewed articles. The data obtained were analyzed using the content analysis method. Twenty-seven articles were found in journals indexed in the SCOPUS database and considered suitable for this study. Two researchers used the content analysis method to determine the effects of the articles reviewed. The results showed that studies in this area have increased in intensity in recent years. These studies were generally conducted over five years. It was found that quantitative methods were predominantly chosen. Researchers published most articles in 2021 and 2022. Most of the studies reviewed used a quantitative design, and only seven articles chose an experimental research design. Most studies were conducted in Pakistan, Saudi Arabia, Spain, India, Iran, and Turkey. The results show that different measurement instruments or tools were used to measure students' academic achievement. The impact of the peer-reviewed articles on the impact of e-learning on college students' academic achievement was examined in four categories. These categories are detailed in the results. Finally, pedagogical conclusions are drawn in light of the results obtained.
Keywords: e-learning, university students, academic achievement, review
Research Article
Vincentas Lamanauskas, Rita Makarskaitė-Petkevičienė
CONT ED TECHNOLOGY, Volume 15, Issue 3, Article No: ep434
ABSTRACT
It is obvious that the COVID-19 pandemic has completely changed learning and study processes. It has become a serious test for university students. Although distance study organization, implementation, effectiveness, and the like are actively researched, it is not entirely clear which way of organization studies is the most appropriate and prospective. Too little attention is still paid to the model of distance studies, its implementation and improvement, especially in the future development of distance and mixed distance study organization and implementation. An empirical qualitative study was conducted, the aim of which was to analyze first-cycle (bachelor study) university students’ position on the study quality issue. 132 students in the field of social sciences from three Lithuanian universities participated in the study conducted in January-May 2022. The verbal data obtained were analyzed using quantitative content analysis. The extracted semantic units were grouped into subcategories and categories. It was established that the main advantages of distance studies were convenience and cost-effectiveness, while disadvantages were the deterioration of the study organization and the deterioration of quality. The ways (directions) of quality distance study improvement can also be seen, i.e., the study process realization improvement (e.g., the content presentation improvement, an increase in interactivity), and study organization improvement (e.g., teacher competence improvement and optimization of the schedule). Despite the revealed shortcomings, more than two-thirds of students positively value the possibility of continuing the study process remotely after the pandemic. More detailed research is needed on the impact of the pandemic on university studies and the further organization and implementation of distance studies.
Keywords: distance education, quantitative content analysis, qualitative research, university students, university education
Review Article
Almira R. Bayanova, Alexey A. Chistyakov, Maria O. Timofeeva, Vladimir V. Nasonkin, Tatiana I. Shulga, Vitaly F. Vasyukov
CONT ED TECHNOLOGY, Volume 14, Issue 1, Article No: ep342
ABSTRACT
Smartphones facilitate communication, education, information, and entertainment through a diverse array of mobile applications. Excessive smartphone use has become a significant societal issue. The research community has explored both the positive and negative consequences of mobile phone use. The phrase “problematic smartphone use” refers to an excessive pattern of smartphone use that may have negative consequences. Smartphone addiction may present with symptoms that are unique from Internet addiction. Severe sadness, anxiety, and tension are all associated with problematic smartphone use. Numerous negative consequences are discussed, including mental health problems, diminished physical fitness, and poor academic achievement. According to the findings of the literature analysis, there is no inventory that evaluates smartphone addiction in the context of Russia. The goal of this study is to examine the psychometric characteristics of the smartphone addiction inventory (SPAI) in a Russian context. Several Russian Federation universities performed the study during the autumn semester of the 2020-2021 academic year. To enhance the inventory, Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA) were utilized on 209 students. As a result, research on the validity and reliability of the Smartphone Addiction Inventory were done in the Russian setting. The research revealed a brief inventory of 14 items and three factors (functional impairment, anxiety, and compulsive behavior).
Keywords: smartphone addiction inventory, psychometric properties, exploratory factor analysis (EFA), confirmatory factor analysis (CFA), university students
Research Article
Vincentas Lamanauskas, Rita Makarskaitė-Petkevičienė
CONT ED TECHNOLOGY, Volume 13, Issue 3, Article No: ep309
ABSTRACT
Distance learning is not a new subject in university study practice. It is clear that a significant number of universities practiced this way of learning before the pandemic. In the case of distance learning, the emphasis is always not so much on the means used for teaching and learning, as on the very fact of the physical separation of the lecturer and the student. There is a reasonable concern about the quality of studies, their efficiency, the quality of the qualifications acquired by future specialists, etc. The new context creates the need to analyse and assess the distance learning situation that arose during the pandemic.
In January-February 2021, a qualitative study was conducted, in which 158 students from three Lithuanian universities participated. Most of the respondents were students of social and humanitarian study programmes. Qualitative data obtained on the basis of open-ended questions were analysed using the method of quantitative content analysis, i.e., semantic subcategories and categories according to four main variables were distinguished: advantages of distance lectures, disadvantages of distance lectures, and distance lecture improvement.
It has been established that the main advantages are the convenience of studying and the flexibility of the study process. Meanwhile, the most obvious shortcomings are deterioration of physical and mental health and non-realisation of social needs, deterioration of the quality of academic activities. Improving the design of lectures and improving their planning and organisation are considered the key areas of improvement.
Keywords: content analysis, distance learning, distance lectures, qualitative research, university students
Research Article
Ali Simsek, Kemal Elciyar, Taner Kizilhan
CONT ED TECHNOLOGY, Volume 10, Issue 2, pp. 106-119
ABSTRACT
Considering that social media addiction is probably the most recent type of technology addiction, the present study was designed based on the six components suggested by Griffiths (2013). Toward the main purpose of the study, the "Bergen Facebook Addiction Scale" was adapted to social media addiction and translated into Turkish. After the validation process, it was administered to a total of 700 students; of them 397 were high school students and 303 were university students. The data collection instrument included 18 five-point Likert-type items in six categories, along with 5 structured items regarding demographics of the respondents. In addition to the original findings of the present study, similar research on social media addiction in some other countries were examined for comparisons. The results showed that both university students and high school students have a moderate level of addiction to social media. Being a university or high school student does not make any difference on the level of social media addiction. However, significant differences were found regarding gender, duration of use, department at the university, and type of high school. Finally, the results of the study show certain similarities and a few differences with the results of the studies conducted in other countries.
Keywords: Internet addiction, Social media, Internet addiction, Social media addiction, University students, High school students
Research Article
Mustafa Serkan Gunbatar
CONT ED TECHNOLOGY, Volume 9, Issue 4, pp. 354-373
ABSTRACT
This study aimed to determine undergraduate and associate degree students’ computer programming attitude and self-efficacy levels, and compare them according to thinking style, gender, department, weekly study time, and programming experience variables. The study employed the correlational research model. The researcher attempted to reach all associate and undergraduate students who had received the computer programming course at a state university. The computer programming self-efficacy scale, the computer programming attitude scale, and the holistic and analytic thinking in problem-solving scale were used to collect research data. Results suggested that the participants with different thinking styles showed significant differences regarding programming attitude and programming self-efficacy. Programming attitude and thinking style were significant predictors of programming self-efficacy. No difference was observed between genders in terms of the common effect and the partial effect of programming attitude and programming self-efficacy. However; differences were observed between participants from different departments and with different weekly study time. There was also a significant difference between the participants with different programming experience levels in terms of the common effect of programming attitude and self-efficacy, whereas no difference was found in terms of attitude alone.
Keywords: Computer education, Programming self-efficay, Programming attitude, Thinking style, University students
Research Article
Gonca Cumaoglu, Esra Sacici, Kerem Torun
CONT ED TECHNOLOGY, Volume 4, Issue 2, pp. 121-135
ABSTRACT
Reading habits, accessing resources, and material preferences change rapidly in a digital world. University students, as digital natives, are accessing countless resources, from lecture notes to research papers electronically. The change of reading habits with a great scale has led to differentiation on accessibility of resources, archiving them and usage of related technologies. The purpose of this study is to examine the e-book usage preferences versus printed material along with reading habits in a context of different variables. Additionally, different uses of e-books in a variety of faculties have been the focus of this study. The participants comprised of 222 students, studying in 36 different universities across Turkey. A questionnaire was developed specifically for the study. The questionnaire consisted of three parts: Printed book reading habits, e-book reading habits (methods of reaching e-books, aim of usage etc.), and technological knowledge (e-book related tools and file formats etc.). According to the results of study, approximately 68% of university students stated that they read one book in a week and 62% indicated that they are e-book readers. Moreover, there was a significant relationship between social environment and reading habits of students. University students put forward accessibility advantage (68%) of e-book and stated that they mostly read e-book for research (81%). E-book format which is most commonly preferred among students is Portable Document Format (pdf) (73%), while the computer is the most commonly used e-book medium (60%).
Keywords: E-book, Printed material, Reading preferences, Reading habits, University students, Higher education
Research Article
Ali Simsek, Jale Balaban
CONT ED TECHNOLOGY, Volume 1, Issue 1, pp. 36-45
ABSTRACT
The purpose of this study was to assess the most commonly used learning strategies of undergraduate students and how these strategies were related to their academic performance. Toward this purpose, a 60 item Likert scale was administered to a sample of 278 undergraduate students. The students were selected based on their cumulative grand-point-average as the most successful and the least successful five senior-year students from each majoring area in the faculties of arts, engineering, science, communication, and sports. The Cronbach’s Alpha reliability coefficient of the scale was 0,93. Results showed that successful students used more, varied, and better learning strategies than unsuccessful students. Female students were more effective in selecting and using appropriate strategies than male students. There were a variety of differences among fields of study; students of fine arts used the strategies least, while students of sports used them the most. The most preferred group of strategies was metacognitive strategies, whereas the least preferred group was organization strategies. The same pattern was found for the level of success, gender, and field of study. The results overall imply that certain strategies contribute to student performance more than other strategies, and majority of university students are aware of this situation.
Keywords: Cognitive strategies, Higher education, Learning strategies, University students