AI Intern

Classroom Behavior Research Intern

AI Education & Computer Vision Project

Location: Kuala Lumpur (Hybrid)

Duration: 3-6 Months

Department: AI Solutions / Computer Vision

About the Project

We are developing an AI-powered Classroom Analytics solution that uses Computer Vision and Artificial Intelligence to analyze student behavior and engagement during classroom activities.

The solution aims to help educators better understand classroom dynamics by identifying, classifying, and measuring student behaviors such as attention, participation, interaction, and learning engagement.

This role is ideal for candidates with an educational background who are interested in applying educational theory to real-world AI and Computer Vision solutions.

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Responsibilities

Classroom Behavior Research

• Research and define student classroom behaviors based on educational and psychological theories.
• Develop behavior taxonomy and classification frameworks for classroom analytics.
• Establish clear definitions, criteria, and guidelines for different student behaviors.
• Review academic research and industry practices related to classroom observation and student engagement.

Behavior Annotation & Quality Review

• Support the development of behavior labeling and annotation standards.
• Review and validate classroom video annotations.
• Ensure consistency and quality of behavior definitions and datasets.
• Work closely with AI engineers and data annotators to improve labeling accuracy.

AI Model Testing & Validation

• Evaluate AI model outputs against human observations and expected behaviors.
• Identify false positives, false negatives, and edge cases.
• Conduct testing and validation of behavior recognition results.
• Provide structured feedback and recommendations to the AI development team.

Educational Insight Analysis

• Analyze relationships between observed classroom behaviors and student engagement.
• Assist in defining useful educational metrics and indicators.
• Support pilot projects and proof-of-concept evaluations with schools and educational institutions.

Documentation & Reporting

• Prepare behavior definition guidelines and testing reports.
• Document validation results, observations, and improvement recommendations.
• Support customer presentations and project demonstrations when required.

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Requirements

Qualifications

• Bachelor's degree or above in Education, Educational Psychology, Educational Technology, Learning Sciences, Child Development, Sociology, or related fields.
• Strong interest in AI, Computer Vision, Education Technology (EdTech), or Learning Analytics.

Skills & Competencies

• Strong observational and analytical skills.
• Ability to define and categorize human behaviors systematically.
• Detail-oriented with a focus on data quality and consistency.
• Good written and verbal communication skills in English.
• Ability to work independently and collaboratively in a multidisciplinary environment.

Preferred Qualifications

• Experience in classroom observation, educational research, or student assessment projects.
• Familiarity with qualitative or quantitative research methods.
• Experience with data analysis tools such as Excel, SPSS, Power BI, or similar tools.
• Previous involvement in AI, EdTech, Human Behavior Analysis, or Computer Vision related projects is a plus.

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What You Will Gain

• Hands-on experience working on real-world AI and Computer Vision solutions.
• Exposure to cutting-edge classroom analytics and educational AI technologies.
• Collaboration with AI Solution Architects, Data Scientists, and Product Teams.
• Opportunity to contribute to innovative education technology projects deployed globally.
• Valuable experience at the intersection of Education, AI, and Human Behavior Analytics.