Research Article
Roza Sh. Akhmadieva, Regina G. Sakhieva, Maria A. Khvatova, Natalya S. Erokhova, Zhanna M. Sizova, Natalya N. Shindryaeva
CONT ED TECHNOLOGY, Volume 18, Issue 2, Article No: ep644
ABSTRACT
This study aims to examine the relationship between university students’ attitudes towards artificial intelligence (AI) and AI literacy levels. A quantitative research method was used using the relational survey model to determine whether students’ attitudes of AI, both positive and negative, were related to their understanding and application (literacy) of AI concepts. The data were collected with the AI attitude scale and the AI literacy scale. The data were analyzed using descriptive statistics, comparative analyses, correlation analysis, and multinominal logistic regression analysis to determine the strength and nature of the relationship between AI attitudes and literacy. The results of the research determined that the students generally had a moderate level of AI literacy, their positive attitudes were high and their negative attitudes were moderate. It was determined that male students and upper-grade students had higher AI literacy and positive attitudes, while engineering and social sciences students had more positive perspectives among disciplines. Correlation analyses show that there are significant positive relationships between AI literacy and positive attitude, and negative relationships between negative attitudes. The model explains the AI literacy level with a rate of 38.6%. According to the findings of the research, it is recommended that university administrations offer course contents, workshops and certificate programs that will increase AI literacy by considering discipline-based differences. It is recommended to disseminate informative and guiding activities, especially in areas where negative attitudes are high, such as health sciences. On the other hand students should make individual efforts to learn not only the user level, but also the technical, ethical and social dimensions of AI. It is important for them to evaluate technology in line with the principles of critical thinking, ethical awareness and digital responsibility.
Keywords: artificial intelligence, AI literacy, attitudes, university students, technology in education, digital competency
Research Article
Gulten Genc, Muhammed Nazif Kutlu, Ozge Kirmizibayrak
CONT ED TECHNOLOGY, Volume 16, Issue 2, Article No: ep501
ABSTRACT
In recent years, the widespread use of online learning environments and tools, especially with the outbreak of the COVID-19 pandemic, has brought students’ readiness for online learning and their ability to manage their own learning processes to the fore. This study aims to investigate the online learning readiness (OLR) and self-directed learning skills of English language learners at a state university in Turkey. For this purpose, a cross-sectional, descriptive study methodology was employed. The study group consisted of 202 randomly selected first-year volunteer students. An information form and two scales were used to collect data. Additionally, the effects of some demographic factors on EFL students’ OLR and self-directed learning skills were also investigated. The results of the study revealed that university students have a moderate level of self-directed learning and readiness to learn in the online environment. As another result of the study, it was determined that various independent variables had an impact on the participants’ OLR levels. In parallel with the findings of the study, some pedagogical strategies were discussed and suggested.
Keywords: readiness for online learning, self-directed learning, English as a foreign language, higher education, technology in education