| Affiliations: | STEM EDUCATION Research Leadership |
| Project Leader: | Thomas Hallmark thomas.hallmark@tamu.edu Teaching, Learning & Culture |
| Faculty Mentor: | Karen Rambo-Hernández, Ph.D. |
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Meeting Times:
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TBA |
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Team Size:
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4 |
| Open Spots: | 3 |
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Special Opportunities:
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Develop new skills in AI and STEM education research
Gain valuable research experience Potential for co-authorship on publications Become a member of the MAGE lab Build a strong social and professional network Explore cutting-edge topics in AI and education Opportunity to present at academic conferences Learn data analysis and research methodologies Contribute to innovative projects in STEM education Enhance your academic portfolio for graduate school applications Collaborate with experienced researchers and peers Develop critical thinking and problem-solving skills Gain insights into the academic research process Opportunity to work on real-world AI applications in education |
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Team Needs:
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List of skills, talents, abilities, and knowledge that would be particularly valuable for your team: Strong interest in Artificial Intelligence Passion for STEM Education Research-oriented mindset Excellent communication skills Ability to focus and maintain concentration Experience with qualitative research methods (helpful but not required) Experience with quantitative research methods (helpful but not required) Interest in or consideration of graduate studies Additional skills and qualities: Critical thinking and problem-solving skills Teamwork and collaboration abilities Adaptability and willingness to learn new concepts Basic programming or data analysis skills (e.g., Python, R) Familiarity with current trends in AI and education technology Project management skills Creativity and innovative thinking Writing skills for research papers or reports Presentation skills for sharing research findings Ethics and responsible AI understanding Mandatory requirements: Team-Oriented Commitment to the team’s goals and projects Willingness to contribute to collaborative research efforts |
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Description:
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This study investigates how integrating Artificial Intelligence (AI) tools in education impacts students’ learning outcomes, engagement, and ability to complete assignments. Using a mixed-methods approach, the research explores both qualitative insights from students and teachers regarding their experiences with AI in the classroom and quantitative data to evaluate the effectiveness of these tools. The study aims to contribute to improving teaching practices and enhance learning experiences through the thoughtful application of AI in educational settings |