Students

Wondering which AI career path is right for you? In this video, I break down the best AI career paths for students, including ...

Artificial Intelligence is transforming education across the United States. In this video, we explore how AI is changing American ...

The University of Idaho Faculty Senate has approved a new interdisciplinary program. This innovative offering uniquely combines studies in artificial intelligence, law, and construction, marking a new educational pathway at the university.

AI in education is significantly impacted by inherent biases within AI systems, which can lead to unfair or inequitable outcomes for students. This article details various examples of such bias and presents six proactive strategies to identify and effectively mitigate these issues. The proposed solutions aim to foster more equitable and unbiased AI applications in educational settings by 2026.

Colleges are increasingly integrating AI bots into their admissions processes. These systems are now being used to help evaluate applicants and make decisions on which students to admit, assisting human reviewers in the selection process.

AI can effectively teach students the art of dialogue by providing a personalized, low-stakes environment for practicing critical thinking and communication. These tools can facilitate Socratic discussions and offer tailored feedback, helping students develop essential skills for meaningful engagement and civic discourse.

AI is rapidly transforming education, with learners and educators becoming its primary "super users." This integration allows for personalized learning experiences for students and assists teachers with tasks like content creation and feedback, making education more engaging and efficient. Ultimately, AI empowers both groups to achieve better teaching and learning outcomes.

AI offers higher education institutions significant potential to personalize learning experiences, automate administrative tasks, and enhance accessibility. However, its successful integration necessitates careful consideration of ethical implications, data privacy, potential biases, and the crucial need for faculty training and adapted pedagogical approaches.

This article argues against the reliance on AI for fundamental learning tasks, particularly writing, in education, asserting that such tools hinder students' essential development. It posits that just as one wouldn't delegate basic human experiences, critical thinking and the act of creation, like writing, are indispensable human processes that cannot be outsourced to AI without significant educational loss.

Artificial intelligence is increasingly being deployed in college admissions for tasks like scoring essays and conducting interviews. This integration introduces a new layer of complexity and stress for applicants navigating the already competitive process of applying to higher education institutions.

This article presents findings from a large-scale Estonian survey on student engagement with AI tools in learning. It offers empirical insights into how students interact with and utilize AI in their education, highlighting current patterns and prevalence within the country's educational context.

OpenAI usage significantly declined during the summer months, a drop largely attributed to students being out of school. This suggests that a substantial portion of the AI tool's use during the academic year is by students for schoolwork, including potential academic dishonesty.