This study aims to analyze the influence of technology-based learning on student engagement and achievement in the digital era. The development of information and communication technology has changed the way of learning and teaching, so that universities are required to adopt new approaches that are more in line with the needs of students in the digital era. This study uses a quantitative method with a survey design to collect data from 200 students involved in the technology-based learning process in various study programs. The instruments used include a questionnaire to measure the level of student engagement and analysis of academic results to assess their achievements. The results of the study indicate that technology-based learning significantly increases student engagement, both in terms of active participation in class and interaction with fellow students and lecturers. In addition, the use of technology in learning also contributes positively to improving student academic achievement. These findings indicate that technology integration in higher education can be an effective strategy to encourage deeper engagement and better achievement among students. This study recommends a broader and more strategic implementation of technology-based learning to improve the quality of education in the digital era.

This study aims to examine the impact of the use of artificial intelligence (AI) technology in learning on the understanding of material by young students. In today's digital era, AI is increasingly being adopted in educational environments, with the potential to personalize learning, increase student engagement, and accelerate the process of understanding material. This research method uses a quantitative approach with a quasi-experimental design. A total of 120 students from various study programs at a university in Indonesia became research respondents, who were divided into two groups: a group that used an AI-based learning platform and a group that used conventional learning methods. Data collection was carried out through pre-tests and post-tests to measure the level of understanding of the material, as well as surveys to evaluate the learning experience. The results of the study showed that the group of students who used AI technology in learning had a more significant increase in understanding the material compared to the control group. In addition, students who used AI reported a more interactive and motivating learning experience. However, this study also found challenges, such as excessive dependence on technology and disparities in access to adequate technological devices. Based on these findings, the study recommends the integration of AI into the education curriculum in a balanced manner, considering technical and pedagogical factors to maximize the potential of AI-based learning.