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transformation, AI technologies are becoming embedded in the academic environment as
                  they assist in teaching, learning, and conducting research.
                        However, current AIs have given way to a new breed of AI systems known as
                  Generative Artificial Intelligence (GenAI), which is a new breed of AI systems that are able
                  to create text, images, and other forms of digital content in a manner that is human-like.
                  Generative AI tools like ChatGPT have gained a lot of demand as they can help students
                  with writing, researching, problem solving, and generating content. These technologies
                  have fastly permeated the institutions of higher learning and are also being used by
                  students as learning assistants (Kanont et al., 2024; He et al., 2025). The fast spread of
                  generative AI tools has provided personalized learning and academic productivity
                  opportunities, and students are able to learn more efficiently and enhance learning
                  outcomes.
                        Meanwhile, generative AI technologies have brought forward new issues in the
                  higher education systems. Although these tools have the potential to boost creativity,
                  teamwork and learning effectiveness, the issues of academic integrity, as well as the
                  credibility of AI- generated data and responsible use of technology are still the major
                  concerns in the learning process (Kaneda et al., 2023; He et al., 2025). Therefore, the
                  insights into how generative AI technologies are perceived and adopted by students have
                  turned into the significant research agenda in educational technology literature.
                        Students have a high rate of encounters with various multimedia tools like online
                  videos, digital documents and interactive learning materials in the digital learning
                  environments. The studies indicate that students have to be good digital learners to be
                  able to compare and incorporate information that will come in a variety of sources
                  (Salmerón et al., 2020). The competencies are especially significant in AI enhanced
                  learning settings where students turn on automated information-generation systems to
                  assist in their academic tasks.
                        More so, technological innovation has increased the scope of interactive
                  educational media in higher education. The research on the digital simulations, game-
                  based learning, and interactive settings proves that these technologies can be used to
                  improve the engagement, make learning experiential, and develop knowledge transfer
                  across settings (Sakkal and Martin, 2019; Ferreira et al., 2021). These innovations explain
                  how new technologies may transform the educational process and make it more
                  interactive and immersive to students.
                        Advanced tools like augmented learning environments and learning analytics based
                  on data have also been introduced by the technological innovations and assist students in
                  grasping the complex academic concepts in a better way. Through such systems, learners
                  are able to visualize abstract concepts, engage with computer simulations, and obtain
                  customized learning support, thus enhancing their learning comprehension and cognitive
                  interest in learning processes (Xing et al., 2023).
                        Besides being beneficial to education, digital environments may also affect human
                  behaviour and communication patterns. There are high chances that online platforms
                  give users more anonymity and less social restrictions, which can influence the way
                  people engage with digital systems and online communities (Stuart and Scott, 2021).
                  These dynamics of behaviour are especially applicable to the situation of AI-driven
                  educational tools when students are engaged in direct communication with automated
                  platforms.




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