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This study aims to investigate the skill gaps experienced by bachelor’s degree graduates in Indonesia when facing the dual demands of Industry 4.0 and Society 5.0. The method applied in this research is a systematic literature review, synthesizing findings from 21 scientific articles focusing on the dynamics of skill gaps and the effectiveness of higher education interventions in Indonesia. The study findings reveal two main categories of competency gaps. In the context of Industry 4.0, the most significant deficiencies are observed in specific hard skills, particularly data literacy, artificial intelligence proficiency, and automation across various sectors. Meanwhile, within the Society 5.0 dimension, deeper gaps emerge in soft skills and human-centered competencies, including complex problem-solving, emotional intelligence, creativity, and environmentally sustainable skills. These human-centered skill gaps play a critical role in enhancing graduate value as AI technologies increasingly replace routine tasks. Although the Merdeka Belajar Kampus Merdeka program shows positive outcomes in improving sustainability skills and digital certification, it has not fully succeeded in driving fundamental transformation of higher education learning outcomes, limiting alignment with sustainability principles and the Society 5.0 approach. It can be concluded that Indonesian higher education faces the challenge of undertaking fundamental curriculum reform to integrate human-centered competencies as a foundation for preparing future human resources.

The use of Artificial Intelligence (AI) in higher education learning has increased significantly, particularly among Informatics Engineering students. Although AI provides various benefits in supporting the learning process, its utilization also raises ethical concerns, especially related to algorithmic bias and responsible use of technology. This study aims to analyze the perceptions of Informatics Engineering students regarding bias and ethics in the use of artificial intelligence in learning. The research employed a quantitative descriptive approach. Data were collected through a Likert-scale questionnaire distributed to 80 Informatics Engineering students who had experience using AI in learning activities. Descriptive statistical analysis was conducted using mean scores and percentages. The results indicate that students demonstrate a high level of ethical awareness and responsibility in using AI; however, their perception of potential bias in AI systems remains at a moderate level. These findings reveal a gap between normative ethical awareness and critical understanding of algorithmic bias. This study recommends strengthening contextual and applied AI ethics literacy within the Informatics Engineering curriculum to promote responsible and ethical use and development of artificial intelligence technologies.

Education is the main foundation in the formation of character and quality of human resources throughout the world. However, the development of technology, especially artificial intelligence (AI), has presented new challenges in the world of education, especially in maintaining the academic integrity of students. The convenience offered by AI is often used unethically, such as in plagiarism or manipulation of academic assignments. This phenomenon encourages the importance of an alternative approach that does not only rely on policy and supervision, but also instills strong moral values. This study examines the relevance of the Islamic educational psychology approach in strengthening the academic integrity of students in the AI era. This approach offers solutions based on Islamic values such as muraqabah (awareness of Allah's supervision), muhasabah (self-evaluation), and the habituation of noble morals. The study was conducted using a library research method by analyzing literature related to academic integrity, AI technology, and Islamic educational psychology, including the thoughts of Imam Al-Ghazali. The results of the study show that the Islamic values taught by Al-Ghazali are very relevant in overcoming the challenges of academic integrity caused by the development of AI technology. The principle of muraqabah helps students understand the ethical implications of their academic actions, while muhasabah encourages self-reflection to improve behavior. In addition, the habituation of values such as honesty and responsibility provides a long-term solution in shaping students' characters. This conclusion emphasizes the importance of integrating Islamic values into the higher education curriculum to create an academic environment with integrity and ethics amidst the advancement of modern technology.

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.

Key Problem: the development of artificial intelligence technology has increased in the last five years, but testing of the impact of its application to curricula in higher education has been poorly considered and very limited. Objective: to know the interrelationship between the impact of the application of artificial intelligence in contributing to improving student academic achievement. Originality: testing the effectiveness and linkage of the impact of artificial intelligence on the curriculum in higher education with increased student achievement is still very limited. Method: quantitative design with secondary data taken from literature and previous research as many as 50 examples of cases in universities with Koesioner Method. Result: there is an influence of the impact of the application of artificial intelligence on curriculum development in universities. The impact value brought by artificial intelligence is 0.7 which is classified as the Good category. There was a low association of 0.05 between the application of artificial intelligence in the curriculum at 50 universities and the increase in student academic achievement. Novelty: not always the application of artificial intelligence has a bad impact as long as it is balanced with wise use. Suggestion: it is expected that future research will use a wider scope and methods to deepen understanding related to the application of artificial intelligence in the development of higher education systems.