Source Integration and Academic Style Quiz

Choose the option that shows the best integration of the source. Be ready to explain why your choice is stronger and how the others show problems in academic style.

• There are possible solutions to AI-generated work at Wharekura College. Kier and Ives (2022) state "create unique and personal assignments" (p. 12), and this is good because students are more interested. This way AI problems are less.

• There are possible solutions to AI-generated work at Wharekura College. Kier and Ives (2022) explain that universities should "create unique and personal assignments" (p. 12), which reduces plagiarism and increases engagement. This is important because many students rely on AI when assignments feel repetitive.

• There are possible solutions to AI-generated work at Wharekura College. Kier and Ives (2022) say that "create unique and personal assignments" (p. 12), and this makes assignments better for students. Therefore, AI use is not big.

Choose the option that shows the best integration of the source. Be ready to explain why your choice is stronger and how the others show problems in academic style.

• Another solution to the AI problem at Wharekura College is student awareness. Cotton et al. (2023) emphsise the idea "educate students on plagiarism … and highlight the consequences" (p. 17), and this is good because students know more. In this way cheating is reduced.

• Another solution to the AI problem at Wharekura College is student awareness. Cotton et al. (2023) emphasise that staff should "educate students on plagiarism … and highlight the consequences" (p. 17), which makes prevention of misconduct more effective. This solution is necessary because many students are unclear about what counts as plagiarism.

• Another solution to the AI problem at Wharekura College is student awareness. Cotton et al. (2023) say that "educate students on plagiarism … and highlight the consequences" (p. 17), and this makes prevention better for students. This means AI cheating is not big.

Choose the option that shows the best integration of the source. Be ready to explain why your choice is stronger and how the others show problems in academic style.

• Another potential solution to AI-generated work at Wharekura College is staff training. Kier and Ives (2022) recommend the solution "tutors understand what is required of them when academic misconduct is detected" (p. 6), and this is good because staff know more. In this way cheating is stopped.

• Another potential solution to AI-generated work at Wharekura College is staff training. Kier and Ives (2022) recommend that tutors should "understand what is required of them when academic misconduct is detected" (p. 6), so responses remain consistent across cases. This matters because inconsistent staff reactions can encourage students to risk using AI.

• Another potential solution to AI-generated work at Wharekura College is staff training. Kier and Ives (2022) say that "tutors understand what is required of them when academic misconduct is detected" (p. 6), and this makes things better for teachers. Therefore, AI cheating not big.

Choose the option that shows the best integration of the source. Be ready to explain why your choice is stronger and how the others show problems in academic style.

• There are possible solutions to cheating with AI at Wharekura College. Cotton et al. (2023) teachers should "monitor student work closely" (p. 19), and this is good because teachers can check more. This way AI is not a big problem.

• There are possible solutions to cheating with AI at Wharekura College. Cotton et al. (2023) say that "monitor student work closely" (p. 19), and this makes teachers check, so students are careful. This prevents cheating.

• There are possible solutions to cheating with AI at Wharekura College. Cotton et al. (2023) propose that teachers should "monitor student work closely" (p. 19), which strengthens accountability and helps detect AI use early. This addresses the reason that students may try AI because they think it will not be noticed.

Choose the option that shows the best integration of the source. Be ready to explain why your choice is stronger and how the others show problems in academic style.

• Another solution at Wharekura College is fairness in assessment. Cotton et al. (2023) state AI language models may unfairly advantage some students" (p. 14), and this is good to know because it shows inequality. In this way, policy is better.

• Another solution at Wharekura College is fairness in assessment. Cotton et al. (2023) say that "AI language models may unfairly advantage some students" (p. 14), and this means students with AI are more lucky, which is not fair.

• Another solution at Wharekura College is fairness in assessment. Cotton et al. (2023) highlight that "AI language models may unfairly advantage some students" (p. 14), creating equity concerns that must be addressed through clear policies. This solution tackles the reason that AI can give unfair benefits to certain students.

Choose the option that shows the best integration of the source. Be ready to explain why your choice is stronger and how the others show problems in academic style.

• Another potential solution at Wharekura College is redesigning tasks often. According to Kier and Ives (2022) , "change assignments and exam questions frequently" (p. 12), and this is good because students get new tasks. This helps reduce plagiarism.

• Another potential solution at Wharekura College is redesigning tasks often. Kier and Ives (2022) say that "change assignments and exam questions frequently" (p. 12), and this means students face different work, so cheating is not possible.

• Another potential solution at Wharekura College is redesigning tasks often. Kier and Ives (2022) recommend that universities should "change assignments and exam questions frequently" (p. 12), which reduces opportunities for copying and makes AI-written answers less useful. This solution addresses the reason that students may turn to AI when tasks feel predictable.

Choose the option that shows the best integration of the source. Be ready to explain why your choice is stronger and how the others show problems in academic style.

• There are possible solutions to strengthen teaching at Wharekura College. Kier and Ives (2022) advise that instructors should "model academic integrity … and cite sources properly" (p. 9), which sets a standard for students to follow. This is important because students copy teacher behaviour, and poor examples may encourage them to use AI.

• There are possible solutions to strengthen teaching at Wharekura College. Kier and Ives (2022) advice schools to have the "model academic integrity … and cite sources properly" (p. 9), and this is good because teachers show examples. This way students not use AI.

• There are possible solutions to strengthen teaching at Wharekura College. Kier and Ives (2022) say that "model academic integrity … and cite sources properly" (p. 9), and this makes teachers better and students more honest.

Choose the option that shows the best integration of the source. Be ready to explain why your choice is stronger and how the others show problems in academic style.

• Another solution is embedding skills in courses at Wharekura College. Kier and Ives (2022) propose schools "consider embedding academic skills into each course" (p. 8), and this is good because students practise skills. This way plagiarism is less.

• Another solution is embedding skills in courses at Wharekura College. Kier and Ives (2022) say that "consider embedding academic skills into each course" (p. 8), and this helps because students learn more, so AI not needed.

• Another solution is embedding skills in courses at Wharekura College. Kier and Ives (2022) propose that teachers should "consider embedding academic skills into each course" (p. 8), which normalises integrity practices and reduces reliance on AI. This addresses the reason that students often misuse AI because they lack confidence in academic writing.

Choose the option that shows the best integration of the source. Be ready to explain why your choice is stronger and how the others show problems in academic style.

• Another potential solution is to combine checks at Wharekura College. Based on Cotton et al. (2023) said "use a combination of automated and manual assessment techniques" (p. 18), and this is good because staff can double-check. This way cheating is less.

• Another potential solution is to combine checks at Wharekura College. Cotton et al. (2023) state that "use a combination of automated and manual assessment techniques" (p. 18), and this means both are used, so students careful.

• Another potential solution is to combine checks at Wharekura College. Cotton et al. (2023) argue that staff should "use a combination of automated and manual assessment techniques" (p. 18), which improves reliability and makes AI content easier to detect. This directly addresses the reason that AI text can be hard to identify with one method alone.

Choose the option that shows the best integration of the source. Be ready to explain why your choice is stronger and how the others show problems in academic style.

• There are possible solutions that remind students of long-term risks at Wharekura College. Cotton et al. (2023) said "this could ultimately lead to a devaluation of degrees" (p. 14), and this is good to warn students. This way they not use AI.

• There are possible solutions that remind students of long-term risks at Wharekura College. Cotton et al. (2023) emphasises this could ultimately lead to a devaluation of degrees" (p. 14), and this shows degrees are not respected if AI used.

• There are possible solutions that remind students of long-term risks at Wharekura College. Cotton et al. (2023) caution that "this could ultimately lead to a devaluation of degrees" (p. 14), which highlights why academic honesty is essential. This responds to the reason that some students may use AI because they undervalue long-term consequences.