ai generated essay checker

ai generated essay checker

The Role of AI in Essay Checking: Enhancing Writing Skills and Academic Integrity

1. Introduction to AI in Education

Artificial intelligence, in the educational context, is increasingly used to assist human teachers. AI-powered tools design easy-to-understand textbooks for elementary school students, grade maths homework, and teach students computer science, English, and maths. In higher education, AI is supervised to recognize patterns in generated writing materials and provides timely feedback to students on the quality of their writing. AI not only helps teachers with tasks such as grading and providing timely feedback but also supports them in identifying students who are struggling in school. While AI applications are becoming standard in the K-12 and tertiary educational context, AI in pre-school education is still in its exploratory stage. If we accept that AI has become the new normal in education, what can we do to harness its potential to deliver quality education and a meaningful learning experience?

At the time of writing this article, the COVID-19 pandemic has forced the transition of school education involving more than 1.6 billion students in 192 countries. UNESCO states that the pandemic has caused the largest disruption of education in history. In response to school closures and lockdowns, over 70 countries, including Belgium and Italy, have made use of robotics and AI applications to deliver remote learning experiences. The shift to remote learning and the increasing widespread use of AI in education means that teachers and educators need to incorporate digital tools in pedagogies and assess students’ learning outcomes accordingly. This paper explores the role of AI in helping teachers with feedback on students’ writing skills.

2. Benefits of AI Essay Checkers

AI essay checkers have the potential to ‘automate the grading of writing so that content can be assessed, rather than, for example, the penmanship of handwriting or the speed of typing’ and so assist in ‘sampling the subject matter understanding of students of all abilities regardless of reading and writing handicaps’. Automated tests can also be standardized and allow unlimited repetition and immediacy through test banks and test construction facilities. These tools can also reduce educational inflation by providing both increased efficiency and rate of learning, leading to savings in education costs that are available for the introduction of new educational services. As the amount of information increases, AI essay checkers also have the potential to facilitate school-practice dialogues, and other communication between schools and homes and provide parents with more detailed information about their child’s essays.

AI essay checking is not a substitute for quality teaching and learning. However, already at this relatively early stage in the development of the technology, AI essay checkers can help teachers to focus on teaching elements that computers cannot assess, for example discourse skills, social implications, ethical decisions, etc. AI essay checkers can also help teachers in diagnosing student competences, and instructing students what mechanisms and processes to use in order to obtain certain competences. In this way, they are useful for quality control of courses and educational programmes.

3. Challenges and Limitations of AI Essay Checkers

The AI essay checkers may undermine the writing process when they are used as simple proofreaders or as a sole method of assessment. They can also have grading inaccuracy issues, especially with open-ended questions or answers that require creativity and critical thinking. In addition, the AI essay checkers are susceptible to some limitations, such as low sample-size training corpus leading to non-inclusive representations, high bias models leading to rote learning, high variability datasets causing absence of grammatical inferences, and presence of errors in training data, especially in human-annotated judgments. AI essay checkers can also perpetuate stereotypes in their language by grading essays that reinforce biases. Furthermore, essay tasks that require creativity and independent thinking may not be captured, while overly complex vocabulary or overly simple sentences may score higher if focus is on language complexity alone rather than appropriateness. Users can also circumvent AI testing easily by using a different handwriting, misspelling, or creating nonsensical content.

AI essay checkers have numerous benefits. Institutions such as universities can use AI checkers to maintain academic integrity, while autonomous learning platforms can use AI checkers to provide immediate, personalized feedback to students. This helps in enhancing writing skills as it guides students on specific areas where they need improvement, while helping them to catch errors instantly. Additionally, AI essay checkers can provide an efficient, time-saving solution to ensure text quality as more formative writing assignments are given, thereby enhancing learning. However, there are some challenges and limitations of AI essay checkers.

4. Best Practices for Using AI Essay Checkers

Secondly, AI should ensure consistent and accurate application of rule-based guidelines. Recent studies have, for example, highlighted conflicts among AI self-plagiarism guidelines. AI self-plagiarism guidelines must be developed in the flex-and-to-adapt approach embracing academic integrity. Insights from history, anthropology, and literary studies alike should create holistic perspectives and appropriate guidelines on self-plagiarism, and these should be integrated into AI essay checkers. Together with the ideas of flex-and-to-adapt approach, the essays are contributing to the more credible, responsible, and ethical AI technology as the AI itself generates feedback based on assignments that require the same. The best implementation of a checker’s capability to mention specific locations of fragmented sentences and paragraphs also plays an imperative role in preserving the meaning and flow of natural conversation.

Firstly, AI-generated feedback should revise and provide suggestions regarding grammar, mechanics, and style that correspond to standard guidelines. Standardization helps AI essay checkers provide practical support for writing across a wide range of academic tasks and disciplines. Research scholars, such as those studying the effects of providing feedback from different sources to second language learners, should work in collaboration with AI industries to ensure practical implementation of their recommendations. As language is culturally grounded, experts should create AI to value and promote the diversity of writing forms and styles.

5. Future Developments and Implications for Education

AI tools should ensure that students can learn about what essay writing is. Tools should consider the effectiveness of different ways desired by students and design approaches to provide individualized quality feedback. Future developments of AI tools will inevitably improve disproportions, and much research is needed on feedback. High-quality feedback, supported by real conversations and social connections with people who really care, should help students stay motivated and focused for a long time. Scaffolding and facilitating understanding of how automated systems work and helping them adapt to feedback generated by educational technologies are very important. Inferences about the accuracy of a student classifier are critical when it decides on the individual features of a university career and other important results. Making systems more transparent and understandable will balance the risks that such a system presents in terms of educational and social quality. We believe that education can benefit from technology, in large part because of the collective tough and ethical decisions made by practitioners and researchers.

Developing tools to support students’ writing is crucial. Students must learn essential skills for their future and guarantee fair evaluation from teachers. It is important to understand the effectiveness of AI’s development of analysis and feedback on short written texts. With the development of such technologies, instructors will have more time to focus on high impact work and students’ individual needs. Building software tools to actively participate in the process of defining how automatic language analysis tools work in various educational contexts, such as dialog, teamwork, and essay evaluation, will help to develop more effective AI tools. In this work, we focus on a small aspect of the issue – their use in the evaluation of student essays.