## Answers from 15 students:
# 1. I find AI-created videos can be more beneficial than traditional lectures in some ways, especially in terms of flexibility and personalized pacing. They allow me to pause, rewind, and revisit concepts at my own pace, which can be more effective for reinforcing learning compared to a fixed lecture format. However, traditional lectures can offer more direct interaction with the instructor, which I still value.
# 2. AI-created videos that were more beneficial than traditional lectures. They allow for self-paced learning and can provide quick, targeted explanations of complex concepts. This flexibility can help reinforce specific topics without the constraints of a fixed lecture schedule.
# 3. Both the lectures explaining one way and two way ANOVA were explained in a way different than the traditional lecture and were more detailed. The avatar instructors had vocal clarity and it was smooth to hear what they were saying without having any network issues that one would pose in traditional lectures.
# 4. Certain aspects, like being able to replay the video, rewinding, pausing, or adjusting the pace of the video, were helpful.
# 5. I find that AI-created videos are more visually engaging and simplify complex topics into more understandable formats. One major advantage over traditional lectures is the ability to replay these videos multiple times until the topic is fully understood. However, a significant drawback is the lack of interaction, meaning doubts and questions cannot be clarified immediately. Therefore, I believe that while these videos are valuable as supplementary resources for reviewing material, they should not be the sole mode of instruction.
# 6. I liked how everything was precise and put to the point by the AI-created video. A lot of key concepts can be covered quickly and precisely. And the human like AI bot speaking in the video made it very realistic except for the tone of the voice.
# 7. I prefer the AI-created videos over traditional lectures because they allow me to control the pace, making it easy to pause and review complex concepts like variance components in ANOVA. However, I did miss the immediate interaction of a live class, where I could ask questions on the spot.
# 8. I think they can be more beneficial if there are more interactive during the lecture which allows learners to understand the context better. However, the slides provided were good and applied good examples for the concept being taught.
# 9. I would recommend AI generated content up to certain extent as it does not provide effective impact as the traditional lectures. Using AI along with traditional, methods is ok but not completely AI recommended
# 10. The AI created videos were helpful in outlining the concepts.
# 11. The AI-created videos did not seem beneficial than traditional lectures. The avatar seemed realistic but the AI lectures were very fast paced with the lecture jumping between sub-topics and concepts without any added context to the previous or the next concepts being taught. The organization and pace of the AI lectures made me lose track of the concepts that were being taught on a frequent basis. The individual concepts taught by the AI lectures seemed relevant but the AI lecture failed to explain them clearly in a way that would help me apply these concepts effectively without further reading and self exploration.
# 12. The AI-created videos were beneficial because they allowed me to learn at my own pace, with clear, concise explanations of complex topics. However, I still find traditional lectures valuable for interactive discussions and the opportunity to ask questions in real-time.
# 13. The AI-created videos were somewhat helpful in understanding the statistical concepts. They provided structured guidance, which helped in following the key steps of one-way and two-way ANOVA. However, without interactive elements or opportunities to ask clarifying questions, it was sometimes challenging to fully grasp the nuances of complex concepts, which traditional lectures often address through live examples or discussions.
# 14. The video pacing and graphics were helpful, but the AI-created lectures were not very comprehensive. Some explanations and sentences seemed incomplete, and the language used was not well-suited for all learning types.
# 15. traditional lectures offered a consistent pace that supported comprehension of complex topics, with the instructor leading each part in an organized manner. This fixed pacing provided a reliable learning experience, helping me stay focused and keep up with the material without needing to change playback speed or review sections.## Answers from 15 students:
# 1. The data provided includes cholesterol reduction measurements for 20 men who were treated with each of three drugs: Zocor, Newcor, and Lipitor. To determine if there were significant differences in the effectiveness of these drugs, a one-way ANOVA was conducted. The ANOVA results yielded an F-statistic of approximately 5.80 and a p-value of 0.0051. Since the p-value is less than the significance level of 0.05, we can conclude that there are statistically significant differences in cholesterol reduction among the three drug treatments.
# 2. <b>Step 3: One-Way ANOVA: The hypothesis for a one-way ANOVA is: Null Hypothesis H0: The mean reduction in cholesterol is the same for all three drugs (no significant difference). Alternative Hypothesis Ha: At least one drug has a different effect on cholesterol reduction (significant difference exists).Performing the ANOVA will help you test whether the observed differences in cholesterol reduction between the drug groups are statistically significant. Oneway Anova: We got an F statistics of 5.80 and p statistics of 0.0051. Since the results of the p value is 0.0051, which is less than our p value of 0.05 confidence level, we reject the null hypothesis. Then we do a post – hoc analysis and I used Bonferroni method. There was no significant difference between drug 2 (Newcor) and drug 1(Zocor) with a p value of 0.618 and also there was no significant difference between drug3 and drug 1 (Zocor), with a pvalue of 0.122. However, there was a significant difference between drug 3 (Lipitor) and 2 with a p value of 0.004.
# 3. step-by-step guide for performing a one-way ANOVA:Step-by-Step Guide in Stata. Step 1: Load Data: To load `3DrugEffects.csv` in Stata, use the command:<br><br>code: import delimited "3DrugEffects.csv", clear<br><br><strong>Verify the data structure:</strong><br><br>code:describe<br><br>This should show 60 observations and 3 variables.<strong> Step 2: Summarize the Data</strong><br>To check the mean cholesterol reduction for each drug:<br><br>code: summarize Reduction, by(Drug)<br><br><strong>Step 3: Hypotheses</strong><br>- **Null Hypothesis (H0):** No difference in average cholesterol reduction among the three drugs.<br>- **Alternative Hypothesis (H1):** At least one drug differs in average cholesterol reduction.<strong>Step 4: One-Way ANOVA</strong><br>Run a one-way ANOVA using the following command:<br><br>code:anova Reduction Drug<br><br>This will display the F statistic and p-value to determine statistical significance.<strong>Step 5: Scatter Plot Matrix</strong><br>You can create a scatter plot matrix to explore relationships:<br><br>code: graph matrix Reduction Drug<br><br><strong>Step 6: Conclusion</strong><br>If the p-value is less than 0.05, reject the null hypothesis, indicating significant differences among the drugs. If not, fail to reject the null hypothesis.<br>
# 4. The answers were checked by ChatGPT<ol><li><strong>Mean Cholesterol Reduction</strong>:<ul><li><strong>Zocor</strong>: Mean reduction = 17.06<li><strong>Newcor</strong>: Mean reduction = 14.22<li><strong>Lipitor</strong>: Mean reduction = 21.7</ul><li><strong>ANOVA Results</strong>:<ul><li><strong>Degrees of Freedom</strong>:<ul><li>Between groups (drug): 2<li>Within groups (residual): 57</ul><li><strong>F-Statistic</strong>: 5.80<li><strong>p-value</strong>: 0.0051</ul></ol><strong>Interpretation: </strong>The ANOVA results show an F-statistic of 5.80 with a p-value of 0.0051. Since the p-value is less than 0.05, you can <strong>reject the null hypothesis</strong>. This indicates that there is a statistically significant difference in cholesterol reduction among the three drugs.<strong>Conclusion:</strong>Based on the data, the cholesterol reduction varies significantly depending on the drug administered. <strong>Lipitor</strong> appears to have the highest mean reduction, followed by <strong>Zocor</strong> and then <strong>Newcor</strong>.
# 5. summarize zocor newcor lipitor Variable | Obs Mean Std. dev. Min Max<br>-------------+---------------------------------------------------------<br> zocor | 20 17.055 8.065944 4.5 32.5<br> newcor | 20 14.22 7.331231 3.4 27.7<br> lipitor | 20 21.7 5.349766 12.7 30.5There are 20 participants in each group with a mean (reduction) for the treatment groups given Zocor, Newcor, Lipitor respectively were 17.055, 14.22, and 21.7. The highest reduction in cholesterol mean was recorded in the Lipitor drug group and the maximum reduction was found in the Zocor drug group. The deviation from the mean for each group are 8.066, 7.331, and 5.349.Since there is a variation in the mean we run ANOVA to check if there is a significant difference in the cholesterol reduction within the three groups due to drug type. Therefore, the null hypothesis is that there is no difference in the cholesterol reduction within the three groups due to drug type and the alternative hypothesis is that there is a difference.stack zocor newcor lipitor, into(Value) clear. label define drugs 1 "zocor" 2 "newcor" 3 "lipitor". <br>. label values _stack drugs. <br>. rename _stack Drug. anova Value Drug Number of obs = 60 R-squared = 0.16<br>> 92<br> Root MSE = 7.01014 Adj R-squared = 0.14<br>> 00 Source | Partial SS df MS F Prob<br>> >F<br> -----------+--------------------------------------------------<br>> --<br> Model | 570.42431 2 285.21216 5.80 0.00<br>> 51<br> |<br> Drug | 570.42431 2 285.21216 5.80 0.00<br>> 51<br> |<br> Residual | 2801.1015 57 49.142132 <br> -----------+--------------------------------------------------<br>> --<br> Total | 3371.5258 59 57.144505 <br><br>The degrees of freedom for both the model and drug are 2, f-statistic found is 5.80 and the p-value is 0.00 which is less than the usual level of signifiance (0.05) and thus we reject the null hypothesis and say that there are significant differences in the cholesterol reduction due to drug type.
# 6. Q1 Answer) Zocor Mean - 17.055Newcor Mean - 14.22Lipitor Mean - 21.7<br>Q2 Answer) There are significant differences in the cholestrol reduction among drug types due to a satistically significant p-value.
# 7. The dataset includes three columns, each representing cholesterol reduction data for one of the three drugs (Zocor, Newcor, and Lipitor) across 20 men. I summarized the data, created a correlation matrix with a scatter plot, and conducted a one-way ANOVA to determine if significant differences exist in cholesterol reduction among the drugs.The one-way ANOVA results show a statistically significant difference in cholesterol reduction across the three drugs, with an F-statistic of approximately 5.80 and a p-value of 0.0051. Since the p-value is below the conventional significance threshold of 0.05, we conclude that the three drugs differ significantly in their cholesterol reduction effects.
# 8. The null hypothesis states that there is no variance in the average cholesterol reduction among the three medications, Zocor, Newcor, and Lipitor. The alternative hypothesis states that the average cholesterol reduction varies among the three medications.The average cholesterol reduction over three months was 17.06 (SD=8.066) for individuals who received Zocor, 14.22 (SD=7.33) for individuals who received Newcor, and 21.7 (SD=5.35) for those who received Lipitor.I could not get further because I could not figure out how to reshape my data to long form in STATA. I kept receiving the same error message, even after I had generated an id variable and making sure the data were numeric. ChatGPT gave me the instructions to reshape my data and generate new variables, but I still recieved the same error message every time.Without reshaping to long form, I received an error message when running the one-way ANOVA command.
# 9. The dataset includes three columns, each representing the cholesterol reduction for one of the three drugs (Zocor, Newcor, and Lipitor) for 20 men. I summarized the data, created a correlation matrix with a scatter plot, and conducted a one-way ANOVA to assess whether there were any significant differences among the drugs in terms of cholesterol reduction.The one-way ANOVA results showed an F-statistic of approximately 5.80 and a p-value of 0.0051.Since the p-value is less than the standard significance level of 0.05, we can conclude that there are statistically significant differences in cholesterol reduction among the three drugs.
# 10. <span style="font-family: "times new roman" , times , serif;font-size: 12.0pt;"><strong>1. Summarize the data. Provide correlation/scatter plot matrix </strong></span><ul><li><span style="font-family: "times new roman" , times , serif;font-size: 12.0pt;"><strong>Zocor</strong>: Mean reduction = 17.06, Standard deviation = 8.07</span><li><span style="font-family: "times new roman" , times , serif;font-size: 12.0pt;"><strong>Newcor</strong>: Mean reduction = 14.22, Standard deviation = 7.33</span><li><span style="font-size: 12.0pt;font-family: "times new roman" , times , serif;"><strong>Lipitor</strong>: Mean reduction = 21.70, Standard deviation = 5.35</span></ul><h3><span style="font-size: 12.0pt;font-family: "times new roman" , times , serif;">ANOVA Results</span></h3><ul><li><span style="font-size: 12.0pt;font-family: "times new roman" , times , serif;"><strong>F-statistic</strong> = 5.80</span><li><span style="font-size: 12.0pt;font-family: "times new roman" , times , serif;"><strong>p-value</strong> = 0.0051</span></ul><span style="font-size: 12.0pt;font-family: "times new roman" , times , serif;"><strong>Interpretation -</strong> Since the p-value (0.0051) is less than the common significance level of 0.05, we reject the null hypothesis. This suggests that there is a statistically significant difference in cholesterol reduction between at least two of the drugs </span><div><div><div><div><div><span style="font-size: 12.0pt;font-family: "times new roman" , times , serif;"><strong><br>2. Are there significant differences in cholesterol reduction due to drug type?</strong></span></div></div></div></div></div><div><div><div><div><div><div><span style="font-size: 12.0pt;font-family: "times new roman" , times , serif;">Yes, based on the one-way ANOVA results, there are statistically significant differences in cholesterol reduction due to drug type. The p-value of 0.0051 indicates that at least one of the drugs differs significantly from the others in terms of effectiveness in reducing cholesterol levels.
# 11. The dataset includes three columns, each representing cholesterol reduction for one of the three drugs (Zocor, Newcor, and Lipitor) across 20 men. To analyze the data, I summarized it, created a correlation matrix with a scatter plot, and conducted a one-way ANOVA to determine if there were significant differences in cholesterol reduction between the drugs.The results of the one-way ANOVA indicate a statistically significant difference in cholesterol reduction among the three drugs, with an F-statistic of around 5.80 and a p-value of 0.0051. Since the p-value is below the standard significance level of 0.05, we can conclude that the cholesterol reduction effects differ significantly between the drugs.
# 12. <div data-bbtype="ltiLink" data-bbfile="{"title":""C:\Users\prave\OneDrive\Desktop\Prompt for Question 2 in ANOVA.1.docx"Evolve Link","url":"/webapps/blackboard/execute/blti/launchPlacement?blti_placement_id=_33_1&course_id=_531459_1&isLightBox=true","iconUrl":"/images/ci/sets/set12/link_on.svg","launchInNewWindow":false}"><img src="/images/ci/sets/set12/link_on.svg" title="" alt=""> "C:UserspraveOneDriveDesktopPrompt for Question 2 in ANOVA.1.docx"Evolve Link</div><br><br><br>
# 13. The dataset contains three columns, each representing the cholesterol reduction for one of the three drugs (Zocor, Newcor, and Lipitor) for 20 men. I summarize the data, generate a correlation matrix with a scatter plot, and then perform a one-way ANOVA to evaluate if there are significant differences among the drugs in terms of cholesterol reduction.<div>A one-way ANOVA says it is statistically significant differences in cholesterol reduction among the three drugs. </div><div><div><div>The one-way ANOVA results indicate an F-statistic of approximately 5.80 and a p-value of 0.0051.Since the p-value is less than the typical significance level of 0.05, we can conclude that there are statistically significant differences in cholesterol reduction among the three drugs.
# 14. The one-way ANOVA results for cholesterol reduction across the three drugs (Zocor, Newcor, and Lipitor) indicate a statistically significant difference in the effectiveness of these drugs. With 60 observations, the model explained 16.92% of the variance in cholesterol reduction, as indicated by an R-squared value of 0.1692. The F-statistic of 5.80 and a p-value of 0.0051 suggest that the type of drug used has a significant impact on cholesterol reduction, with the p-value being less than 0.05. This allows us to reject the null hypothesis that the drugs have the same effect, concluding that at least one drug significantly differs from the others in its ability to reduce cholesterol.
# 15. <span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;"><strong>1. </strong></span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;"><strong>solution:</strong></span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;"><strong>To input data into STATA manually we write code:</strong></span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">clear</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">input Zocor Newcor Lipitor</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">13.6 3.7 12.7</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">4.5 3.4 13.4</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">5.4 7.5 14</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">8.5 17.2 16.6</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">7.4 9.3 14.6</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">14.5 6.4 19.4</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">17.9 16.4 20.4</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">12.4 18.1 22.9</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">17.9 8.7 17.7</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">15.8 17.1 23.4</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">19.6 10 22.5</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">22.2 25.3 25.1</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">11 10.3 23.3</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">18 20.2 25.9</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">22 19.7 26.1</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">28.2 19.9 23.4</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">27.8 8.9 28.4</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">29 24.8 30.5</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">32.5 9.8 26.2</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">12.9 27.7 27.5</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">end</span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;"><strong>To summarize data :</strong></span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">summarize Zocor Newcor Lipitor</span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;"><strong>To correlate:</strong></span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">correlate Zocor Newcor Lipitor</span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;"><strong>Scatter plot matrix:</strong></span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">graph matrix Zocor Newcor Lipitor</span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;"><strong>One way anova:</strong></span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">reshape long Zocor Newcor Lipitor, i(id) j(drug)</span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">anova cholesterol_reduction drug</span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;"><strong>2. </strong></span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;"><strong>solution:</strong></span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">The dataset includes three columns, each representing the cholesterol reduction achieved by one of the three drugs (Zocor, Newcor, and Lipitor) for 20 men. I summarized the data, created a correlation matrix with a scatter plot, and conducted a one-way ANOVA to assess if there are significant differences in cholesterol reduction across the drugs.</span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">The one-way ANOVA shows statistically significant differences in cholesterol reduction among the three drugs.</span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">The results of the ANOVA report an F-statistic of around 5.80 and a p-value of 0.0051.</span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">Given that the p-value is below the usual threshold of 0.05, we can conclude that there are significant differences in cholesterol reduction between the three drugs.</span>## Answers from 15 students:
# 1. Yes, ChatGPT didn't fully understand what I was trying to ask for it to complete so I kept having to add more details in order for it to be able to answer the questions.
# 2. I didn't face any significant difficulties while using ChatGPT for my assignment. The support was valuable, particularly in organizing information and explaining concepts.
# 3. When using ChatGPT, I often need to provide a detailed explanation of what I want, and I’m not always confident that my instructions are correct. ChatGPT could improve by offering more guidance on interpreting results and outlining each step, which would make the process more intuitive and help confirm accuracy.</span>
# 4. The main challenges in using ChatGPT for this assignment are:</span><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">1. Data Interpretation: I can't directly analyze the data; I can only guide you on how to perform the analysis in Stata.</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">2. Visual Outputs: I can't generate or view plots (like scatter plots or correlation matrices).</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">3. Context-Specific Details: I provide general guidance, but real-world issues (like missing data) might need tailored solutions.</span><br><span style="font-family: arial , helvetica , sans-serif;font-size: 14.0pt;">4. Real-Time Analysis: I can't perform the statistical tests directly; you need to run them in Stata and share the results for interpretation.</span><br>
# 5. ChatGPT is not 100% accurate so I had to read and double check on everything, which infact consumed a little extra time.
# 6. I attempted to ask ChatGPT questions about STATA and how to fix my code after encountering an error message using the "3DrigsEffect.csv" data set. However, it repeatedly provided the same instructions, even after I explained that I had followed all the steps that it suggested and received the same error messages.
# 7. I didn’t face any challenges using ChatGPT for the assignment.It provided clear guidance, accurate calculations, and relevant visualizations.Also making the process straightforward and efficient.
# 8. I faces problem regarding the code provided and handling of errors by the chatgpt
# 9. I used Chat GPT, it was a little bit helpful but I had to go back and use my knowledge for some of the functions, for example, the stata command for doing a post hoc analysis given by stata was not working with the data and so I had to use my own way of doing the post - hoc analysis from what we have learned in class .
# 10. No, there were no significant challenges in using ChatGPT for this assignment. The prompt provided clear guidelines, and the data was straightforward to analyze.
# 11. One challenge I faced while using ChatGPT for the assignment was that it sometimes provided responses that were too general, requiring additional prompts to get more specific information. However, once refined, the guidance was helpful.
# 12. One challenge in using ChatGPT for this assignment was the inability to directly access or interact with Stata for real-time feedback, which made it necessary to rely on providing step-by-step guidance rather than executing commands. Additionally, some parts of the assignment, like interpreting outputs, required hypothetical explanations since I couldn’t view actual results from running the commands in Stata. This could require extra effort from the user to understand and validate their results independently.
# 13. The instructions and guidance on how to perform the analysis were clear and were in the useful direction. But, One challenge I encountered while using ChatGPT for the assignment was not being able to directly interact with the dataset or execute the code, which made it harder to verify the results.
# 14. The use of ChatGPT for the assignment provided me the steps to complete the assignment but failed to provide explainations to understand the reasoning for performing each step and also failed to provide the explainations for the statistical measures being performed.The ChatGPT did not provide any reference output and tables to compare with the user's STATA output and tables.The ChatGPT solution based on the provided prompt missed a step regarding reshaping the data based on if the data is wide format or long format as a prerequisite before running ANOVA.<br><br>
# 15. There were no challenges. I used Chat GPT to only convert the table to long format.## Answers from 15 students:
# 1. Personally, I prefer traditional lectures because it allows me to be more present in class and be more interactive. However, AI tools can help to create Power-point slides which allows professors more time to focus on the teaching of the concepts.
# 2. I feel that although AI videos are helpful because you can watch them whenever you want, they can't answer your questions right away as in a traditional lecture. Also, they don't have feelings or emotions, so they can't really connect with you on a personal level. Sometimes, talking things through with someone else helps you understand better.So because of this, I would prefer traditional lectures.
# 3. I favor traditional lectures as they provide direct interaction with the instructor, enabling instant clarification of questions and a more engaging learning experience. The opportunity for real-time communication and building a personal connection with the instructor is an important aspect of traditional learning for me.
# 4. Both AI-guided and traditional lectures have their advantages. AI-guided lectures allow for personalized pacing and immediate, making them helpful for grasping complex topics or practicing skills at an individual pace. On the other hand, traditional lectures offer a sense of connection and the chance to ask questions live, making learning feel more interactive and engaging. A blended approach could be ideal, combining the structure and real-time interaction of traditional lectures with the customized support provided by AI guidance. </span>
# 5. I prefer AI-guided lectures because they offer personalized, on-demand support and allow for a more interactive and flexible learning experience. However, I also value traditional lectures for their ability to foster direct interaction with instructors and peers, which can enhance understanding through discussion and real-time feedback.</span>
# 6. AI-guided lectures can be a great complement to in-person sessions, providing flexibility while still maintaining the benefits of direct interaction.
# 7. As much as I liked the way it was presented and all, I would still prefer the traditional lecture because AI-created video felt a little mechanical to me as it used the same tone, pace and volume. It also felt like a good last minute preparation before the exam kind of lecture rather than an introduction video.
# 8. I don't have personal preferences.but I can recognize the benefits of both AI-guided and traditional lectures. AI-guided lectures offer flexibility and tailored explanations, allowing for interactive, step-by-step learning. Traditional lectures, on the other hand, can provide human connection and engagement.
# 9. I prefer a blend of AI-guided and traditional lectures.AI can efficiently provide quick, personalized answers and data-driven insights, while traditional lectures offer valuable context, human interaction, and a structured narrative that fosters deeper understanding.This combination can balance engagement with flexibility.
# 10. I prefer AI-guided lectures because they allow me to learn at my own pace, pausing and revisiting difficult concepts when needed. But sometimes it also mis guides the concept. we have both pros and cons of using the AI. So, I also appreciate traditional lectures for the opportunity to ask questions and engage in real-time discussions with the instructor and classmates.
# 11. prefer the traditional lectures as I am of the opinion that my teacher or professor has to be a human being with an experience in what they are teaching. In this way, they can incorporate their experiences of using a statistical software to teach us which can be more pratical and thus relatable to enhance understanding of its functioning. Traditional lecutres provide almost the same information as the AI-guided lectures, but the AI-guided lectures seemed difficult to understand with its unusual terminologies that I am not used to in statistics. I have taken a basic stats course before this advanced course.
# 12. I prefer traditional lectures because I can ask my teacher questions in real time. If the teacher does not understand my, we can work together to clarify it, which is easier through direct interaction. Additionally, I learn a lot from my peers and the questions that they ask during class. Using an AI-tool does not allow me to hear or see the questions raised by my peers.
# 13. I prefer traditional lectures because they allow for real-time interaction with the instructor and the ability to ask questions for clarification. However, AI-guided lectures are helpful for reviewing concepts at my own pace.
# 14. I prefer traditional lectures since it helps maintain my focus on the concepts being taught.Traditional lectures help me feel more connected to the concepts being taught with better context and transition between concepts.AI tools like ChatGPT can help answer my questions better since they are not limited by the instructors time but the AI lectures did not explain the concepts in a clear and coherent way.
# 15. I would prefer a mix of both, when deeper understanding is needed, traditional lecture would be appropriate but when we are looking at straight forward point of view, AI would be better. ## Answers from 15 students:
# 1. I believe AI tools and videos can be valuable additions to the course, especially for reinforcing important concepts and offering extra examples. However, incorporating more interactive features or live problem-solving demonstrations in the videos could improve understanding, especially in a statistics class where applying concepts is essential.
# 2. Incorporating AI tools and videos into this course can significantly improve the learning experience by providing flexibility and tailored support. AI tools, especially, offer immediate feedback and allow students to progress at their own pace, which is beneficial for tackling complex or challenging subjects. Adding interactive elements or live sessions alongside these tools could be very useful, as they would enable real-time clarification and create a more engaging environment. A well-balanced combination of AI, video resources, and interactive discussions could enhance the overall effectiveness of the course.</span>
# 3. AI tools and videos are great for personalized learning and breaking down complex concepts. A balance with live interaction would be ideal for maximizing learning through both personalized support and real-time discussions.</span>
# 4. AI tools and videos can enhance learning by providing personalized support and breaking down complex concepts. Interactive exercises with instant feedback help reinforce learning. Combining these tools creates a flexible and engaging environment.
# 5. AI tools can be used to provide practical examples of how ANOVA or other statistical tests can be used in solving recent problems in healthcare. AI tools for creating a lecture do nothing special that a lecturer cannot do. Maybe leveraging AI tools to help instil knowledge in a ways that a lecturer cannot, can help.
# 6. AI tools could enhance this course by providing interactive problem-solving, real-time data visualizations, self-paced video tutorials, automated feedback, curated resources, and safe environments for experimentation.These features can deepen understanding, streamline learning, and make complex concepts more approachable. Suggestions:<ol style="list-style-type: lower-alpha;"><li>Coding Help<li>Concept Videos<li>Personalized Quizzes</ol>
# 7. AI tools like ChatGPT have helped me expand my knowledge regarding the concepts being taught in class but it required self exploration by experimenting between different prompts and forcing the chatbot to explain me the concepts personalized to my level of understanding. A generalized teaching approach employed in the AI lectures and the homework assignment did not yield satisfactory answers and the explainations to the concepts did not help me understand the statistical concepts such as ANOVA better. Instead, they made the concepts seem much more complicated and unrelated to each other compared to traditional teaching methods.
# 8. AI would be very helpful when performing specific tasks that especially where we are interested in straight forward answers.
# 9. I feel that AI tools and videos can be valuable supplements to traditional learning; it's important to remember that they shouldn't completely replace human interaction and critical thinking. It's essential to have a balance between technology-driven learning and traditional classroom experiences. people might become too dependent on AI and stop using their own critical thinking skills.
# 10. I suggest incorporating more interactive elements in the AI tools, such as quizzes or practical exercises, to reinforce learning. While the videos are helpful, adding opportunities for immediate feedback could enhance the overall experience.
# 11. I think AI tools and videos are useful for their flexibility and self-paced learning, but it would be beneficial if there were more opportunities for clarification or deeper explanations when needed. This could help ensure better understanding, especially for complex topics.
# 12. I think AI tools can be beneficial to use in the aspect of creating Power-point slides and helping to find resources that better enhance the overall learning experience. However, I don't think it should fully replace human interactive experience.
# 13. I think AI tools can be helpful when integrated into lectures and assignments, but they still require a human touch. For example, instructors should review the lecture slides or example questions generated by AI to ensure they make sense and align with the quality and style of materials that the instructors would typically create themselves. I do not think lectures and assignments should rely entirely on AI. It is valuable to ask the instructor questions in class and receive explanations in various ways that cater to different learning styles. AI struggles to identify and asses different learnings styles of students.
# 14. Using AI tools and videos can improve learning by offering real-time assistance and simplifying complex topics, making course content easier to understand and more engaging.
# 15. While AI can offer a wealth of resources, the value of in-person lectures lies in human interaction, discussions, and personal guidance. AI should complement, not replace, face-to-face learning experiences.