AI Chatbots in Academic Productivity

Introduction

• Study investigates the challenges of using AI chatbots for academic productivity among ICT students at St. Joseph College-Olongapo.
• Leader: Roque, Railey Mark C.
• Members: Balintos, Ryan S., Diaz, Lorain E., De Castro, Benson Jhasper R, Garcia, Lil Chivas Inakie M., Lagrimas, Nathaniel B., Soriano, Samantha Maris F., Venturozo, Joelyssis A.
• A quantitative research submitted in partial fulfillment of the requirements for the course PR II (Quantitative Research Methods)

Background

• AI, including chatbots, is increasingly used in daily life, often for routine tasks.
• Rising use of chatbots for academic work is concerning for educators.
• The study aims to explore the impact of AI chatbots on Information and Communication Technologies (ICT) students at St. Joseph College Inc.
• Concerns include potential privacy risks, increasing dependence on AI for decision-making, and possible biases within AI systems.

Research Questions

• What are the demographic characteristics of the respondents?
• What are the challenges of using AI chatbots with academic productivity for the ICT students at St. Joseph College Olongapo?
  • Accuracy and reliability
  • Academic productivity
  • Plagiarism
  • Dependence
  • Privacy
• Is there a significant difference in the use of challenges based on different profiles (age, grade level, strand)?
• How can students potentially improve their academic productivity using AI chatbots?

Scope and Delimitations

• Study focuses on ICT students at St. Joseph College during the academic years 2022-2023 and 2023-2024.
• The study examines the effects of AI chatbot usage on academic productivity.
• A quantitative method will be used.
• The study does not cover qualitative aspects or other types of AI beyond chatbots.

Significance of the Study

• Students: Understand how to effectively use AI in learning without over-reliance.
• Teachers: Gain deeper understanding of the challenges students face when interacting with AI chatbots.
• Parents: Gain insight and help to support their children's use of AI within education.
• Future Researchers: Identifies common challenges and suggests improvements for future chatbot systems in education.
• Educational Institutions: Refinement of chatbot tools to suit their specific needs and ensure that support systems for students are enhanced.
• School Administrators: Effective integration of AI into academic systems for informed decision-making.

Related Literature

• Includes both local and foreign studies on the topic.
• Research focuses on the impact of technology integration on knowledge and skills acquisition, ethical principles for AI in education, evaluating AI usage in education, the impact of AI systems on learning outcomes for SHS students in the Philippines, benefits in using AI in education specifically.

Conceptual Framework

• Input-Processing-Output model used to analyze relationship between AI chatbot usage and ICT students' academic productivity
• Input includes student profiles, AI chatbot usage, academic activities, frequency of usage and purpose.
• Process involves development of survey questions and data collection.
• Output includes academic productivity, efficiency in task completion, influence on educational performance, and academic integrity.

Hypothesis

• Null hypothesis (H0): No significant difference in the challenges of using AI chatbots for academic productivity of ICT students based on profiles (age, grade level, strand).
• Alternative hypothesis (H1): A significant difference exists in the challenges of using AI chatbots for academic productivity of ICT students based on profiles (age, grade level, strand).

Research Methods

• Participants: ICT students from St. Joseph College Inc. (50-100 students).
• Method: Quantitative approach using structured surveys.
• Analysis: Chi-square test used to determine the relationship between categorical variables (frequency of AI chatbot use and perceived effects on academic performance).

Data Gathering Procedure

• Approval from the school principal.
• Distribution of consent forms to participants.
• Survey questionnaires, interviews, or observations.
• Maintaining confidentiality and anonymity.

Data Analysis Techniques

• Chi-square test of independence to determine correlations between the use of AI chatbots and perceived challenges/impact on productivity.
• Statistical analysis of data collected.

Ethical Considerations

• Obtain informed consent from all participants.
• Ensure confidentiality and anonymity of data.
• Minimize risks and ensure no harm caused to participants.

This study explores the challenges and impacts of using AI chatbots on the academic productivity of ICT students at St. Joseph College-Olongapo. Conducted as part of quantitative research, it examines concerns such as privacy risks and dependency on AI. Join us in understanding the implications of this technology in education.