Answer: In the realm of education, through the utilization of cutting-edge technologies like machine learning and natural language processing, the objective of AI is to emulate cognitive abilities akin to those of humans.

Applications of AI in transforming the learning experience:

• Intelligent Tutoring Systems: AI facilitates intelligent tutoring systems, providing personalized feedback.

• For example, Carnegie Learning's Cognitive Tutor offers tailored support and feedback in math and science learning.

• Personalized Learning: This enables personalized learning with tailored paths, adaptive content, and interventions.
• For instance, Platforms like PeerAI and Adaptiv Academy analyze student data, identifying learning styles, strengths and provide individualized learning paths.

• Adaptive Education: AI creates adaptive learning systems adjusting instruction based on student responses.

• For example, DreamBox Learning utilizes AI to tailor math instructions to individual learning levels, fostering engagement and motivation.

• Automated Grading: AI automates grading tasks, including essays, freeing teachers to offer personalized support.

• For example, Gradescope utilizes AI for faster and reliable grading of essays and short-answer questions.

Positive effects of AI in the field of education:

• Better educational outcomes: Personalized and adaptive learning facilitated by AI can result in improved academic achievements for all students, irrespective of their diverse backgrounds or learning capacities.
• Enhanced engagement: AI platforms analyze learner preferences and adapt the content accordingly. Incorporating quizzes fosters active participation and motivates students to retain information effectively.
• Educational accessibility/Bridge learning gaps: AI platforms bring quality education to remote areas with digital libraries. Students access materials, overcoming language barriers via translation features for multi-language content.

Negative effects of AI in the field of education:

• Limitations in Teaching Effectiveness: AI algorithms may not match the teaching effectiveness of human educators, lacking the nuanced understanding and empathy crucial for effective teaching.
• Emotional Disconnect: AI lacks emotional capacity, leading to a potential emotional disconnect between students and the technology which can affect the students' perception of care and support.
• Bias and Fairness: AI algorithms can perpetuate existing biases, leading to unfair outcomes for certain groups of students.

The Sustainable Development Goal 4 prioritizes inclusive, equitable, and quality education for all. To achieve SDG 4, AI can be a potential ally. However, it requires collaboration among stakeholders, robust policymaking, responsible use, transparency, and accountability to truly enhance education and enable lifelong learning opportunities, leaving no one behind.