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Project: Educational Theory Practice Analysis

Project Overview

Project Description

Project Requirements

The peer-reviewed project will include five major sections, with relevant sub-sections to organize your work using the CGScholar structure tool.

BUT! Please don’t use these boilerplate headings. Make them specific to your chosen topic, for instance: “Introduction: Addressing the Challenge of Learner Differences”; “The Theory of Differentiated Instruction”; “Lessons from the Research: Differentiated Instruction in Practice”; “Analyzing the Future of Differentiated Instruction in the Era of Artificial Intelligence;” “Conclusions: Challenges and Prospects for Differentiated Instruction.”

Include a publishable title, an Abstract, Keywords, and Work Icon (About this Work => Info => Title/Work Icon/Abstract/Keywords).

Overall Project Wordlength – At least 3500 words (Concentration of words should be on theory/concepts and educational practice)

Part 1: Introduction/Background

Introduce your topic. Why is this topic important? What are the main dimensions of the topic? Where in the research literature and other sources do you need to go to address this topic?

Part 2: Educational Theory/Concepts

What is the educational theory that addresses your topic? Who are the main writers or advocates? Who are their critics, and what do they say?

Your work must be in the form of an exegesis of the relevant scholarly literature that addresses and cites at least 6 scholarly sources (peer-reviewed journal articles or scholarly books).

Media: Include at least 7 media elements, such as images, diagrams, infographics, tables, embedded videos, (either uploaded into CGScholar, or embedded from other sites), web links, PDFs, datasets, or other digital media. Be sure these are well integrated into your work. Explain or discuss each media item in the text of your work. If a video is more than a few minutes long, you should refer to specific points with time codes or the particular aspects of the media object that you want your readers to focus on. Caption each item sourced from the web with a link. You don’t need to include media in the references list – this should be mainly for formal publications such as peer reviewed journal articles and scholarly monographs.

Part 3 – Educational Practice Exegesis

You will present an educational practice example, or an ensemble of practices, as applied in clearly specified learning contexts. This could be a reflection practice in which you have been involved, one you have read about in the scholarly literature, or a new or unfamiliar practice which you would like to explore. While not as detailed as in the Educational Theory section of your work, this section should be supported by scholarly sources. There is not a minimum number of scholarly sources, 6 more scholarly sources in addition to those for section 2 is a reasonable target.

This section should include the following elements:

Articulate the purpose of the practice. What problem were they trying to solve, if any? What were the implementers or researchers hoping to achieve and/or learn from implementing this practice?

Provide detailed context of the educational practice applications – what, who, when, where, etc.

Describe the findings or outcomes of the implementation. What occurred? What were the impacts? What were the conclusions?

Part 4: Analysis/Discussion

Connect the practice to the theory. How does the practice that you have analyzed in this section of your work connect with the theory that you analyzed on the previous section? Does the practice fulfill the promise of the theory? What are its limitations? What are its unrealized potentials? What is your overall interpretation of your selected topic? What do the critics say about the concept and its theory, and what are the possible rebuttals of their arguments? Are its ideals and purposes hard, easy, too easy, or too hard to realize? What does the research say? What would you recommend as a way forward? What needs more thinking in theory and research of practice?

Part 5: References (as a part of and subset of the main References Section at the end of the full work)

Include citations for all media and other curated content throughout the work (below each image and video)

Include a references section of all sources and media used throughout the work, differentiated between your Learning Module-specific content and your literature review sources.

Include a References “element” or section using APA 7th edition with at least 10 scholarly sources and media sources that you have used and referred to in the text.

Be sure to follow APA guidelines, including lowercase article titles, uppercase journal titles first letter of each word), and italicized journal titles and volumes.

Icon for The Future of Writing and Spelling in the Age of AI Generative Tools

The Future of Writing and Spelling in the Age of AI Generative Tools

In recent years, there has been significant excitement and unprecedented interest in generative artificial intelligence (GAI), particularly tools that drive automated writing, drawing, painting, and coding. This technology, once a concept of science fiction, is now transforming various fields including education and research, as well as our interaction with computers and information gathering processes. A key milestone in this revolution was OpenAI's release of Chat Generative Pretrained Transformer (ChatGPT) in November 2022, which brought about new opportunities, challenges, and debates within technology and business circles (Murugesan & Cherukuri, 2023).

The incorporation of GAI tools in writing and spelling introduces significant questions about their role in education and daily communication. Historically, spelling was rigorously taught through traditional methods like weekly lists and spelling tests, as seen in textbooks like the Horn-Ashbaugh Speller of 1920 (Ruan & Griffith, 2007). However, in the early 21st century, skepticism about the importance of spelling has led some schools to deemphasize or abandon spelling instruction altogether (Pan et al., 2021).

This shift raises several questions: Does spelling still matter in the digital age, where spellcheck and autocorrect are ubiquitous? If spelling is still important, how should it be taught effectively? Studies by Pan et al. (2021) suggest that while technological aids can reduce certain types of spelling errors, they are not foolproof and do not eliminate the need for foundational spelling skills. Additionally, the perceived devaluation of spelling in standardized tests and casual communication forms contrasts with evidence that correct spelling remains crucial in professional and academic contexts. Hence, re-evaluating the role of spelling instruction in modern education, possibly integrating traditional methods with innovative approaches, appears necessary to address these evolving challenges.

While generative AI tools like ChatGPT have revolutionized various sectors, they also prompt crucial questions about their impact on fundamental writing skills and education practices. The transition from traditional spelling instruction, such as the rigorous methods exemplified by early 20th-century textbooks, to a more relaxed approach in the digital age highlights the ongoing debate about the relevance of spelling. Despite the ubiquity of spellcheck and autocorrect, research indicates that foundational spelling skills remain essential. This paper aims to explore the implications of AI on traditional writing skills and education practices, examining whether and how these fundamental skills should be taught in an era increasingly dominated by advanced technology.

Writing and Spelling in Traditional Education

Writing and spelling have long been considered fundamental skills in traditional education, playing a crucial role in developing students' cognitive abilities and communication skills. In this section, we will delve into the significance of writing and spelling within the educational framework, explore the cognitive benefits associated with these skills, examine the impact of technology on writing proficiency, and introduce the concept of AI generative tools and their potential functionalities.

Writing and spelling are foundational components of traditional education, deeply ingrained in curricula worldwide. These skills are not merely practical; they also serve as essential tools for expression, communication, and critical thinking. According to Murugesan and Cherukuri (2019), writing and spelling proficiency are vital for academic success and effective communication in both educational and professional settings. In traditional education, mastery of spelling has been emphasized through various methods, such as weekly spelling lists and tests, as illustrated by the Horn-Ashbaugh Speller of 1920 (Ruan & Griffith, 2007). However, the significance of spelling in contemporary education has come under scrutiny due to the prevalence of spellcheck and autocorrect features in digital platforms. Despite these technological advancements, spelling remains a crucial aspect of literacy, particularly in formal writing contexts.

Moreover, writing is not only about transcribing thoughts onto paper but also about engaging in a cognitive process that enhances learning and critical thinking. In the traditional classroom, writing assignments are often used to assess students' comprehension, analysis, and synthesis of course material. Writing serves as a medium through which students can express complex ideas, develop arguments, and communicate effectively (Murugesan & Cherukuri, 2019). Therefore, writing and spelling are indispensable skills that contribute to students' academic achievement and overall intellectual development.

Cognitive Benefits of Writing

Writing is not merely a means of communication; it is also a powerful tool for cognitive development and critical thinking. According to the writing center at Metropolitan State University of Denver (2023), writing facilitates deep learning by encouraging students to engage actively with course material, organize their thoughts, and construct coherent arguments. Through the process of writing, students can clarify their understanding of complex concepts, refine their analytical skills, and develop their capacity for logical reasoning. Additionally, writing promotes metacognition—the awareness and understanding of one's own thought processes—by requiring students to reflect on their ideas and revise their work (Metropolitan State University of Denver, 2023). Thus, writing serves as a cognitive scaffold that supports students' intellectual growth and academic success.

Furthermore, writing is closely intertwined with language development and communication skills. By engaging in writing activities, students enhance their vocabulary, grammar, and syntax, thereby improving their overall language proficiency (Metropolitan State University of Denver, 2023). Writing provides students with opportunities to express themselves creatively, fostering their self-confidence and self-expression. Therefore, writing is not only a cognitive exercise but also a form of personal and artistic expression that enriches students' lives and broadens their perspectives.

Image 1: AI vs human creativity (Aduggirala, 2021).

 

Impact of Technology on Writing Skills

The advent of technology has brought about significant changes in the way writing is taught and practiced in educational settings. With the proliferation of spell checkers, grammar checkers, and online communication platforms, students now have access to a wide range of digital tools that can aid them in the writing process. However, the impact of technology on students' writing skills is a topic of ongoing debate among educators and researchers.

AI is reshaping education, offering tools for essay writing, homework assistance, and research. It prompts a reevaluation of schools and teachers' roles. The concept of teacher-less schools and school-less education emerges, enabling students to learn independently. In 2023, 89% of students used ChatGPT for homework, yet 72% of college students and 34% of educators sought to ban AI writing tools. Despite concerns, nearly half of teachers reported reduced workload. However, 47% of Harvard faculty predicted negative impacts on higher learning. Guidelines for AI use are lacking, with less than 10% of institutions having policies. Educators mainly use AI for compiling information, planning lessons, and conducting research (Micere, 2024).

Image 2: AI Writing Statistics: Artificial Intelligence & Content Creation (Micere, 2024)

A meta-analysis conducted by Pan et al. (2021) explored the impact of technology on students' writing performances in elementary classrooms. The study found that while technological aids such as spell checkers and word processors can help students identify and correct surface-level errors, they may also lead to a decline in students' spelling and grammar proficiency over time. Moreover, the prevalence of informal online communication styles, characterized by abbreviations, acronyms, and emoticons, has raised concerns about the potential erosion of students' writing conventions and standards (Pan et al., 2021). Therefore, while technology can enhance the efficiency and convenience of the writing process, it also poses challenges to the development of students' writing skills and literacy competencies.

Introduction to AI Generative Tools

In recent years, the field of artificial intelligence (AI) has witnessed remarkable advancements in the development of generative AI tools, which have the ability to produce human-like text, images, and code. According to IBM Research (2024), generative AI, also known as GAI, encompasses a wide range of AI techniques that enable machines to generate creative and original content autonomously. One of the most notable examples of generative AI is OpenAI's Chat Generative Pretrained Transformer (ChatGPT), which was released in November 2022 and has since garnered significant attention within technology and business circles (Murugesan & Cherukuri, 2019). 

Generative AI tools like ChatGPT have the potential to revolutionize various aspects of writing and spelling education by providing students with new opportunities for learning, creativity, and collaboration. These tools can assist students in generating written content, offering suggestions for spelling and grammar corrections, and providing feedback on their writing (Martineau, 2023). Furthermore, generative AI tools can be integrated into educational platforms and learning management systems, allowing students to access personalized writing assistance and support in real time (Unknown, 2024). Therefore, AI generative tools have the potential to transform the way writing and spelling are taught and practiced in educational settings, offering new possibilities for enhancing students' writing skills and literacy competencies.

Theoretical Perspectives on AI and the Future of Writing Education

The impact of AI on the future of writing and spelling education can be analyzed from different theoretical perspectives, each offering unique insights into the potential implications of AI generative tools. In this section, we will discuss three theoretical viewpoints: the Enhancement View, the Diminishment View, and the Transformation View.

The Enhancement View

The Enhancement View posits that AI can serve as a valuable tool to help students develop writing skills more efficiently and effectively. According to a study by Hardianti et al. (2020), AI tools can provide students with personalized feedback and support, enabling them to identify and address areas for improvement in their writing. By leveraging the capabilities of AI generative tools like ChatGPT, educators can create interactive and engaging learning experiences that promote active participation and collaboration among students (Hardianti et al., 2020).

Furthermore, AI can assist students in overcoming common challenges in the writing process, such as spelling and grammar errors, lack of coherence and clarity, and difficulty in generating ideas. By analyzing students' writing patterns and preferences, AI generative tools can offer tailored suggestions and recommendations to help students refine their writing skills and produce high-quality content (Kleiman, 2022). Moreover, AI can facilitate peer review and collaborative writing activities, allowing students to receive feedback from their peers and engage in meaningful discussions about their writing (Hardianti et al., 2020).

Overall, the Enhancement View suggests that AI has the potential to enhance the quality and effectiveness of writing education by providing students with personalized support, feedback, and guidance throughout the writing process. By integrating AI generative tools into writing instruction, educators can create more engaging and interactive learning environments that foster students' creativity, critical thinking, and communication skills.

The Diminishment View

Contrary to the Enhancement View, the Diminishment View argues that AI may ultimately replace the need for strong writing and spelling skills, thereby diminishing the importance of traditional writing education. According to critics of AI in education, the rise of AI generative tools like ChatGPT has led to concerns about the erosion of students' writing abilities and literacy competencies. As AI becomes increasingly sophisticated and capable of producing human-like text, some educators fear that students may become overly reliant on AI for writing tasks, thereby neglecting the development of their own writing skills (Engle, 2024).

Moreover, the prevalence of AI-driven writing tools in educational settings may lead to a standardized approach to writing instruction, where students are encouraged to adhere to predefined templates and formats rather than exploring their own unique writing styles and voices (AIContentfy team, 2023). This homogenization of writing may limit students' opportunities for creative expression and self-discovery, thereby stifling their intellectual growth and development.

Overall, the Diminishment View raises important questions about the potential consequences of AI on the future of writing education. While AI generative tools offer numerous benefits in terms of efficiency and productivity, they also pose challenges to the preservation of traditional writing skills and practices. Therefore, educators must carefully consider the implications of integrating AI into writing instruction and strive to strike a balance between leveraging the capabilities of AI and preserving the integrity of traditional writing education.

The Transformation View

The Transformation View posits that AI has the potential to fundamentally change the nature of writing and education, ushering in a new era of learning and creativity. According to proponents of this view, AI generative tools like ChatGPT have the power to democratize access to writing instruction and support, making high-quality writing education more accessible and affordable for students worldwide. By leveraging the capabilities of AI, educators can create personalized learning experiences that cater to the diverse needs and preferences of individual students, thereby promoting greater equity and inclusivity in education (Bronson, 2023)

Media embedded June 15, 2024

Video 1: The Future of Education in the Age of Generative Artificial Intelligence (Gašević, 2023)

Moreover, as expressed by Dr. Gašević (08:36", 2023), Generative AI in education can guide learners, promote creativity, generate source code, and provide feedback, benefiting both teachers and students. AI has the potential to revolutionize the way writing is taught and practiced in educational settings, offering new possibilities for collaborative authorship, interactive storytelling, and immersive learning experiences. For example, AI generative tools can enable students to co-create stories, poems, and essays with virtual collaborators, thereby fostering creativity, collaboration, and empathy (Bronson, 2023). Furthermore, AI-driven writing platforms can provide students with real-time feedback and support, allowing them to track their progress, set goals, and monitor their writing skills over

The Critics: Drawbacks of Relying Heavily on AI for Writing and Spelling

As artificial intelligence (AI) continues to integrate into various aspects of human life, its application in writing and spelling raises both optimism and concerns. While AI generative tools promise to enhance productivity and streamline the writing process, there are several potential drawbacks associated with heavy reliance on such technologies. This section delves into the criticisms leveled against AI in writing and spelling, exploring concerns regarding plagiarism, decline of originality, impact on critical thinking and analytical skills, ethical considerations, inequalities in access, and the devaluation of traditional writing skills.

One of the primary concerns surrounding the use of AI in writing is the potential for increased plagiarism and a decline in originality. According to Abdelaal et al. (2019), the proliferation of AI tools has led to an alarming rise in cases of academic dishonesty. AI-powered writing tools often provide pre-written content or generate text based on existing materials, making it easier for users to plagiarize inadvertently or deliberately. As emphasized by Anderson (2010), the ease of access to vast amounts of information and the ability to manipulate it with AI may diminish the creative aspect of writing, resulting in a decline in originality.

Another significant concern is the potential impact of AI on critical thinking and analytical skills. As AI tools handle more aspects of the writing process, students and writers may become reliant on automated assistance, which could impede the development of critical thinking skills (Lee et al., 2023). This over-reliance on AI may diminish individuals' ability to engage in complex problem-solving, analysis, and synthesis of information (Gupta, 2023).

Ethical considerations regarding the use of AI in writing are paramount. Transparency and authorship are particularly contentious issues. AI-generated content may blur the lines of authorship, raising questions about the rightful attribution of ideas and contributions (Jones as cited in Powers et al., 2020). Authors utilizing AI tools should be transparent about the extent of AI involvement in their work to uphold academic integrity and avoid misleading readers (Robinson, 2018).

The potential for inequalities in access to and application of AI writing tools poses a significant challenge. While AI promises to enhance productivity, its adoption may exacerbate existing disparities between institutions and individuals with varying levels of access to technology (Abdelaal et al., 2019).

Educators and scholars have expressed concerns that heavy reliance on AI may devalue traditional writing skills. As highlighted by Thompson (2021), the increased use of AI tools in writing may lead to a diminished emphasis on fundamental writing competencies such as grammar, syntax, and critical analysis. Over time, this could erode the quality of written communication and undermine the value of traditional writing skills in academic and professional settings (Smith, 2021, as cited in Bronson, 2023).

Education Practices

Research suggests that integrating AI generative tools into education can significantly enhance students' academic writing skills. By utilizing AI-based writing assistants, students can receive immediate feedback on their writing, allowing for timely revisions and improvements. Moreover, these tools can assist in generating initial drafts or outlines, correcting grammatical errors, and providing vocabulary suggestions (Jenni.ai, 2024). For instance, students can use AI tools to draft essays or research papers, while simultaneously learning about proper structure, language use, and citation formats.

Image 3: ChatGPT Applications (Zohery, 2023)

 

Promoting Critical Thinking and Analysis

To ensure that the integration of AI does not undermine the development of critical writing skills, educators should design lessons that encourage students to engage in meaningful analysis and revision. A study conducted in Pakistan highlights the impact of AI-based writing assistants on the academic writing skills of university faculty (Raza, 2023). The findings indicate that while AI tools can aid in surface-level corrections, they cannot replace the cognitive processes involved in critical thinking and analysis. Therefore, educators should design activities that prompt students to evaluate and revise AI-generated content critically.

Practical examples of activities that leverage AI tools to enhance student writing skills include collaborative writing exercises, peer review sessions, and writing workshops. For instance, students can work together to analyze and revise AI-generated texts, focusing on content organization, coherence, and argumentation. Additionally, educators can incorporate AI-powered spell checker tools to help students identify and correct spelling errors (Jenni.ai, 2024). By engaging in these activities, students not only improve their writing proficiency but also develop essential analytical and evaluative skills.

Understanding and Evaluating AI Output

It is essential to teach students how to understand and evaluate the output of AI tools critically. Research suggests that AI-powered learning tools can have a significant impact on student understanding and academic performance (Lin et al., 2023). Therefore, educators should guide students in discerning the strengths and limitations of AI-generated content. By encouraging students to critically evaluate AI output, educators can foster a deeper understanding of the writing process and empower students to become more discerning writers. 

Personalizing Writing Instruction

Furthermore, AI could be utilized to personalize writing instruction and cater to individual student needs. By analyzing students' writing patterns and performance data, AI systems can provide personalized feedback and recommendations (Raza, 2023). For example, AI tools can identify areas where students struggle the most, such as grammar or vocabulary usage, and offer targeted exercises or resources to address these challenges. Personalized writing instruction not only enhances students' writing skills but also promotes self-directed learning and autonomy.

Conclusion

To address these challenges and maximize the benefits of integrating AI generative tools into education, educators should adopt strategies that promote critical thinking, personalized instruction, and student engagement. By designing lessons that encourage meaningful analysis and revision, educators can ensure that the integration of AI enhances rather than undermines students' writing skills. Moreover, educators should guide students in understanding and evaluating the output of AI tools critically, fostering a deeper understanding of the writing process and empowering students to become more discerning writers.

In conclusion, the future of writing and spelling education lies in embracing the transformative potential of AI generative tools while preserving the integrity of traditional writing skills (IBM Research, 2024. Educators must strike a balance between tradition and innovation, preparing students for success in the digital age while upholding the timeless value of strong writing skills (Lee et al., 2023). By leveraging the capabilities of AI, educators can create personalized learning experiences that enhance students' writing skills, promote critical thinking, and foster creativity and collaboration.


References

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Pan, S. C., Rickard, T. C., & Bjork, R. A. (2021). Does Spelling Still Matter—and If So, How Should It Be Taught? Perspectives from Contemporary and Historical Research. Educational Psychology Review, 33(4), 1523–1552. https://doi.org/10.1007/s10648-021-09611-y

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