is there a relationship between artificial intelligence integration and academic achievement?

Introduction

The integration of artificial intelligence (AI) in education has been a growing area of interest, particularly in understanding its impact on academic achievement. This synthesis aims to explore the relationship between AI integration and academic performance, drawing insights from multiple research studies.

Key Insights

AI for Predictive Analytics in Academic Performance:
- AI techniques, such as artificial neural networks, have been effectively used to predict academic performance by analyzing various student data, including socio-economic status, previous achievements, and academic environments .
- AI models have shown high accuracy in forecasting academic outcomes, aiding in better academic planning and advising .
AI Enhancing Decision-Making in Education:
- AI-based decision support systems have been developed to assist academic decision-makers in planning resources and advising students, ensuring quality assurance in academic decisions.
- These systems integrate large volumes of academic data to provide insights that can enhance educational performance and resource management.
AI Promoting Academic Integrity:
- AI tools have been employed to promote academic integrity by monitoring online learning environments and reducing instances of cheating, which became more prevalent during the shift to online education due to the pandemic.
AI and Academic Achievement Correlation:
- Studies have shown that AI can predict academic achievement by analyzing various factors, including students' social backgrounds, previous academic performance, and other relevant metrics .
- The integration of AI in educational settings has demonstrated a significant positive impact on students' academic performance, with predictive models showing high accuracy and reliability .

Conclusion

The integration of artificial intelligence in education has shown promising results in enhancing academic achievement. AI techniques, particularly predictive analytics and decision support systems, have proven effective in forecasting academic performance and aiding in academic planning and advising. Additionally, AI tools have played a crucial role in promoting academic integrity in online learning environments. Overall, the use of AI in education appears to positively influence academic outcomes, providing valuable insights and support for both students and educators.

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Is there a relationship between artificial intelligence integration and academic achievement?

Summary

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Introduction

Key Insights

Conclusion

Sources and full results

Using artificial intelligence methods to assess academic achievement in public high schools of a European Union country

AI techniques can effectively predict academic achievement for nearly every public high school student in Portugal, providing valuable insights for policymakers.

The relationship between intelligence and academic achievement throughout middle school: The role of students' prior academic performance

Intelligence best predicts academic achievement in middle school, with prior academic performance playing a significant role in this relationship.

The Correlation of Multiple Intelligences for the Achievements of Secondary Students.

Multiple intelligences like visual-spatial, verbal-linguistic, and interpersonal positively impact academic performance achievement in high school students, while musical intelligence is a tunable negative predictor.

Student Academic Performance Using Artificial Intelligence

Artificial Intelligence can effectively predict student academic performance by analyzing their social backgrounds, previous achievements, and academic environments.

Do Intelligence and Sustained Attention Interact in Predicting Academic Achievement

Sustained attention quality significantly impacts academic achievement, with intelligence playing a role in predicting school performance in a non-clinical sample.

The Relationship between Intelligence, Approaches to Learning and Academic Achievement

Intelligence and surface approaches to learning have a curvilinear relationship with academic achievement, while deep-strategic and surface-strategic approaches to learning independently predict academic achievement.

Intelligence and educational achievement

General intelligence at age 11 is positively associated with educational achievement in 25 academic subjects at age 16, with girls showing no advantage in g but performing better in all subjects except Physics.

Impact of Artificial Intelligence in Promoting Academic Integrity in Education: A Systematic review

Artificial intelligence can help promote academic integrity in education by enhancing online learning experiences and addressing challenges of cheating and academic integrity.

Advanced Learning Analytics in Academic Education: Academic Performance Forecasting Based on an Artificial Neural Network

Artificial neural networks can effectively forecast academic performance in higher education, improving planning, advising, and monitoring of decisions.

Artificial Intelligence in Higher Education: A Predictive Model for Academic Performance

Artificial intelligence-based tools and applications significantly impact students' academic performance, and a predictive model can be implemented to adapt variables based on AI.

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