351190_ai report

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School

Egerton University *

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Course

451

Subject

Communications

Date

Nov 24, 2024

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pdf

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10

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The University of Dodoma Quick Submit Quick Submit nb B B Document Details Submission ID trn:oid:::1:2746140983 Submission Date Nov 10, 2023, 1:42 AM GMT+2 Download Date Nov 10, 2023, 1:47 AM GMT+2 File Name 351190_Textbook_Evaluation.docx File Size 2.2 MB 8 Pages 752 Words 4,742 Characters Page 1 of 10 - Cover Page Submission ID trn:oid:::1:2746140983 Page 1 of 10 - Cover Page Submission ID trn:oid:::1:2746140983
How much of this submission has been generated by AI? 0% of qualifying text in this submission has been determined to be generated by AI. Caution: Percentage may not indicate academic misconduct. Review required. It is essential to understand the limitations of AI detection before making decisions about a student's work. We encourage you to learn more about Turnitin's AI detection capabilities before using the tool. Frequently Asked Questions What does the percentage mean? The percentage shown in the AI writing detection indicator and in the AI writing report is the amount of qualifying text within the submission that Turnitin's AI writing detection model determines was generated by AI. Our testing has found that there is a higher incidence of false positives when the percentage is less than 20. In order to reduce the likelihood of misinterpretation, the AI indicator will display an asterisk for percentages less than 20 to call attention to the fact that the score is less reliable. However, the final decision on whether any misconduct has occurred rests with the reviewer/instructor. They should use the percentage as a means to start a formative conversation with their student and/or use it to examine the submitted assignment in greater detail according to their school's policies. How does Turnitin's indicator address false positives? Our model only processes qualifying text in the form of long-form writing. Long-form writing means individual sentences contained in paragraphs that make up a longer piece of written work, such as an essay, a dissertation, or an article, etc. Qualifying text that has been determined to be AI-generated will be highlighted blue on the submission text. Non-qualifying text, such as bullet points, annotated bibliographies, etc., will not be processed and can create disparity between the submission highlights and the percentage shown. What does 'qualifying text' mean? Sometimes false positives (incorrectly flagging human-written text as AI-generated), can include lists without a lot of structural variation, text that literally repeats itself, or text that has been paraphrased without developing new ideas. If our indicator shows a higher amount of AI writing in such text, we advise you to take that into consideration when looking at the percentage indicated. In a longer document with a mix of authentic writing and AI generated text, it can be difficult to exactly determine where the AI writing begins and original writing ends, but our model should give you a reliable guide to start conversations with the submitting student. Disclaimer Our AI writing assessment is designed to help educators identify text that might be prepared by a generative AI tool. Our AI writing assessment may not always be accurate (it may misidentify both human and AI-generated text) so it should not be used as the sole basis for adverse actions against a student. It takes further scrutiny and human judgment in conjunction with an organization's application of its specific academic policies to determine whether any academic misconduct has occurred. Page 2 of 10 - AI Writing Overview Submission ID trn:oid:::1:2746140983 Page 2 of 10 - AI Writing Overview Submission ID trn:oid:::1:2746140983
1 Textbook Evaluation Student’s Name Institution Course Instructor Date Page 3 of 10 - AI Writing Submission Submission ID trn:oid:::1:2746140983 Page 3 of 10 - AI Writing Submission Submission ID trn:oid:::1:2746140983
2 Textbook Evaluation The dynamic changes in the institution’s curriculum influence the choice of critically evaluating the textbook “Types of Syllabuses in Teaching English” by Mukhtarkhanova. The assessment of the textbook aims to accurately focus on different aspects of the textbook’s suitability for certain student groups within the diverse academic surroundings. The evolution of education through the concurrent years has resulted in the study of effective instructional materials. Correspondingly, this report exploits the strengths and weaknesses of the chosen textbook by Mukhtarkhanova, recognizing the significant role in shaping the language learning experiences of a variety of students. The school promotes cultural diversity which as a result, it offers a home for students who study English literature and language. The physical resources for instance language lab and modern classroom show how committed the staff is to offering a conducive environment for learning language (Verkuyten et al., 2020). The cultural diversity in the institution reveals a curriculum that incorporates and respects other cultural perspectives thus promoting a conducive learning experience. The chosen textbook, “Types of Syllabuses in Teaching English” by Mukhtarkhanova, is expected to supply the needs of a diverse group of students pursuing English literature and language. The student’s situational needs offer a curriculum that integrates cultural sensitivities and fosters linguistic proficiency (Dewaele et al., 2020). Furthermore, the right needs of student calls for a conducive learning environment that ensures equal access to language education and respect for linguistic rights irrespective of other linguistic rights. These considerations align with the institute’s education philosophy emphasizing student-entered learning and inclusivity. The best recommendation for a more diverse group of English language learners is the mixed syllabus approach. It is an approach that comprises combining elements, lexical, and Page 4 of 10 - AI Writing Submission Submission ID trn:oid:::1:2746140983 Page 4 of 10 - AI Writing Submission Submission ID trn:oid:::1:2746140983
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