PARAPHRASING

IMPACT OF ARTIFICIAL INTELLIGENCE ON EDUCATION: OPPORTUNITIES AND CHALLENGES ON THE COLLEGE STUDENTS OF DALUBHASAANG POLITEKNIKO NG LUNGSOD NG BALIWAG DATA Analysis In our data analysis approach, we utilize semantic analysis to understand the underlying meaning of the information we gather. By employing this method, we aim to uncover deeper insights and patterns within the data. Additionally, our interview protocol guide ensures structured and meaningful conversations with participants, enriching our understanding of their perspectives and experiences. Semantic Analysis Semantic analysis in this context involves interpreting and quantifying the meanings behind the responses collected via the questionnaire. Given the three-part structure of the questionnaire focusing on the effects and use of AI, the benefits of using AI, and the drawbacks of using AI, a semantic analysis would entail: 1. Quantifying Sentiments: Calculate the overall sentiment towards AI in education among the participants using the five-point Likert scale responses. This includes determining the average score for each part of the questionnaire to gauge general attitudes (positive, neutral, or negative) toward AI’s impact, opportunities, and challenges. 2. Identifying Themes: Analyze open-ended responses (if any) for recurring themes or keywords related to AI in education. This could involve using text analysis software or manual coding to categorize responses into themes such as “personalized learning,” “data privacy concerns,” “accessibility issues,” etc. 3. Correlation Analysis: Examine the relationship between respondents’ backgrounds (e.g., academic department, year of study) and their sentiments or views on AI. This could reveal if certain groups are more optimistic or pessimistic about AI in education. 4. Opportunities and Challenges: Specifically, analyze the data to highlight the most recognized opportunities (e.g., improved learning outcomes, increased efficiency) and challenges (e.g., technical issues, lack of human interaction) of AI in education, as the participants perceived. Interview Protocol Guide Introduction 1. Welcome and Introduction: Begin by introducing yourself, explaining the purpose of the interview, and how the data will be used. Assure the participant of confidentiality and anonymity in handling their responses. “Hello and thank you for participating in our study on the impact of artificial intelligence in education. I’m [Your Name], and I’ll be guiding you through this interview. Your responses will be kept confidential and used solely for academic research purposes. Do you have any questions before we start?” 2. Informed Consent: Ensure that the participant understands the nature of the study and agrees to participate voluntarily, providing a verbal or written consent form if necessary. Background Information 1. Participant Demographics: Gather basic demographic information such as the participant’s course of study, year, and prior experience with AI tools in education. This information will help contextualize their responses. o Please tell me which course you are currently enrolled in. o “What year are you currently in your academic program?” o “Prior to this academic year, what has been your experience with using technology in your education?” o “On a scale from 1 to 5, how would you rate your familiarity with AI applications in education?” o “Before using AI in your education, what was your perception of artificial intelligence?” o “Has your perception changed after using AI tools? In what ways?” Main Questions Usage of AI in Education: Ask the participant to describe how they use AI in their educational activities. Probe for specifics, such as the types of AI tools or platforms used and the frequency of use. o “Can you describe how you have used AI in your studies?” o “What AI tools or platforms have you found most beneficial in your learning process?” Opportunities of AI in Education: o “What opportunities do you believe AI offers for your education?” o “Can you share any positive experiences where AI significantly helped you in your learning or academic performance?” Challenges of AI in Education: o “What challenges have you faced while using AI in your education?” o “Have you encountered any technical issues, and how did you overcome them?” o “In what ways do you think AI could potentially hinder your learning experience?” Implications of AI on Academic Performance: o “How do you think AI has impacted your academic performance?” o “Are there any specific instances where AI has notably improved or worsened your academic outcomes?” Personal Views and Experiences: o “Based on your experience, how do you feel about the increasing integration of AI in education?” o “Do you have any concerns or expectations for the future of AI in your academic journey?” Suggestions for Improvement Improvements and Suggestions: o “What improvements would you like to see in the AI tools you use for educational purposes?” o “Are there specific areas or functions where you think AI could be more effectively applied in education?” Conclusion Final Thoughts: o “Is there anything else you would like to add or any other experiences with AI in education that you would like to share?” o “Do you have any questions about this study or the interview process?” Thank You and Next Steps: Conclude the interview by thanking the participant for their time and contributions. Explain the next steps in the research process and how their input will be used. Please provide contact information if they have followup questions or wish to learn about the study’s outcomes. “Thank you so much for your valuable input today. Your contributions are vital to our research, and we’ll be analyzing the data collected to further our study on AI in education. If you have any questions or wish to know about the findings, please feel free to contact us at [Contact Information]. We’ll keep you updated on the progress and outcomes of our research.”