Edsurge

AUGUST 24, 2023

So they want their courses to help prepare them for this new world and to be part of developing ethical rules on how best to use AI. To Chang’s point, plenty of professors remain concerned about the potential impacts of ChatGPT on academic integrity, even if they’re open to adopting the tools to improve teaching.

Ethics 148

Ethics Essay Teachers Academic Integrity 148

Faculty Focus

FEBRUARY 4, 2024

Feature Bots Chatbots Primary function Automate tasks Communicate and provide information User interaction No direct user interaction Direct user interaction through natural language Typical use cases Customer service, marketing, social media Customer service, education, e-commerce Figure 1.

Academic Integrity 135

Academic Integrity Education Plagiarism Students 135

Faculty Focus

JANUARY 21, 2025

Hutson (2024) identifies the challenges of AI in education as the blurred boundaries between human and AI-generated content, the inadequacy of traditional plagiarism definitions, and the need to balance the ethical integration of AI with the preservation of critical thinking, originality, and intellectual property standards.

Plagiarism 112

Plagiarism Syllabus Ethics Feedback 112

Faculty Focus

DECEMBER 5, 2023

The rise of ChatGPT, Google Bard, New Bing, and others in the academic space, however, is skyrocketing. As I scanned topics like academic integrity, academic dishonesty, and plagiarism, I quickly adopted others’ persuasive opinions based on limited information. My initial encounters with this rising AI were biased.

Intelligence 144

Intelligence Plagiarism Quizzes Academic Integrity 144

Faculty Focus

AUGUST 1, 2023

The launch of the artificial intelligence (AI) large language model ChatGPT was met with both enthusiasm (“Wow! Should you redesign your academic integrity syllabus statement or does your current one suffice? Redesigning academic integrity statements is essential.

Academic Integrity 98

Academic Integrity Plagiarism Exams Syllabus 98

Faculty Focus

AUGUST 1, 2023

The launch of the artificial intelligence (AI) large language model ChatGPT was met with both enthusiasm (“Wow! Should you redesign your academic integrity syllabus statement or does your current one suffice? Redesigning academic integrity statements is essential.

Academic Integrity 98

Academic Integrity Plagiarism Exams Syllabus 98

Faculty Focus

FEBRUARY 6, 2024

There is a precedent for using such terms as a means to distinguish the backgrounds of language users, often as a means to differentiate between native speakers (NS) and non-native speakers (NNS) of a language. 2020) compared language usage in NS and NNS of English among engineering lecturers. Kuswoyo et al.

Essay 126

Essay English Lecturing Writing 126

Faculty Focus

JANUARY 21, 2025

Hutson (2024) identifies the challenges of AI in education as the blurred boundaries between human and AI-generated content, the inadequacy of traditional plagiarism definitions, and the need to balance the ethical integration of AI with the preservation of critical thinking, originality, and intellectual property standards.

Plagiarism 96

Plagiarism Syllabus Ethics Feedback 96

Faculty Focus

FEBRUARY 4, 2024

Feature Bots Chatbots Primary function Automate tasks Communicate and provide information User interaction No direct user interaction Direct user interaction through natural language Typical use cases Customer service, marketing, social media Customer service, education, e-commerce Figure 1.

Academic Integrity 111

Academic Integrity Education Plagiarism Students 111

Edsurge

JANUARY 9, 2024

Learn more about EdSurge ethics and policies here and supporters here.) Inside the Quest to Detect (and Tame) ChatGPT Even before ChatGPT was released, AI experts were exploring how to detect language written by this new kind of bot. That has academic honor committees scrambling to revise policies and provide resources to instructors.

Instructors 130

Instructors Attention Lecturing Essay 130

Faculty Focus

MARCH 10, 2024

And if those of us asking vital questions about access/cost, academic integrity, and a potential loss of linguistic diversity can be heard without accusations of knee-jerk paranoia. Is it time to admit the unease we feel at ethically teaching technology we ourselves do not use or fully understand? The original tech: language.

Plagiarism 115

Plagiarism Ethics Writing Learning 115

Faculty Focus

APRIL 25, 2024

With the evolution of large language models such as ChatGPT and Gemini, it’s growing more challenging to distinguish authentic student work from auto-generated text strings. And in an ideal world, there would be piles of data about best practices for meetings that probe a student’s academic integrity.

Instructors 107

Instructors Academic Integrity Students Ethics 107

Faculty Focus

APRIL 25, 2024

With the evolution of large language models such as ChatGPT and Gemini, it’s growing more challenging to distinguish authentic student work from auto-generated text strings. And in an ideal world, there would be piles of data about best practices for meetings that probe a student’s academic integrity.

Instructors 104

Instructors Academic Integrity Students Ethics 104

Faculty Focus

AUGUST 24, 2023

This is combined with Large Language Models (LLMs) which collect extensive data from various sources, including Wikipedia, public forums, and programming-related websites like Q&A sites and tutorials. This vast amount of information is utilized by LLMs to enhance their responses.

Intelligence 98

Intelligence Critical Thinking Academic Integrity Peer Review 98

Faculty Focus

FEBRUARY 6, 2024

There is a precedent for using such terms as a means to distinguish the backgrounds of language users, often as a means to differentiate between native speakers (NS) and non-native speakers (NNS) of a language. 2020) compared language usage in NS and NNS of English among engineering lecturers. Kuswoyo et al.

Essay 111

Essay English Lecturing Writing 111

Faculty Focus

MARCH 10, 2024

And if those of us asking vital questions about access/cost, academic integrity, and a potential loss of linguistic diversity can be heard without accusations of knee-jerk paranoia. Is it time to admit the unease we feel at ethically teaching technology we ourselves do not use or fully understand? The original tech: language.

Plagiarism 109

Plagiarism Ethics Writing Learning 109

Faculty Focus

AUGUST 24, 2023

This is combined with Large Language Models (LLMs) which collect extensive data from various sources, including Wikipedia, public forums, and programming-related websites like Q&A sites and tutorials. This vast amount of information is utilized by LLMs to enhance their responses.

Intelligence 94

Intelligence Critical Thinking Academic Integrity Peer Review 94

Faculty Focus

DECEMBER 5, 2023

The rise of ChatGPT, Google Bard, New Bing, and others in the academic space, however, is skyrocketing. As I scanned topics like academic integrity, academic dishonesty, and plagiarism, I quickly adopted others’ persuasive opinions based on limited information. My initial encounters with this rising AI were biased.

Intelligence 111

Intelligence Plagiarism Quizzes Academic Integrity 111

Edsurge

NOVEMBER 13, 2017

In surveys of more than 70,000 high school students by the International Center for Academic Integrity, 58% admitted to plagiarism. Talk to your students about the ethics of plagiarism, making it clear why it’s wrong and how it hurts them. It’s no wonder, then, that plagiarism is on the rise. And in her book My Word!,

Plagiarism 124

Plagiarism Essay Internet Assignments 124

EAB

JUNE 8, 2023

Thinking we can distinguish between AI-generated and human-generated work Concerned about academic integrity, many academic colleges have turned to plagiarism detection services in student assignments. AI models can also generate responses that may be inappropriate, offensive, or biased, leading to ethical issues.

Plagiarism 52

Plagiarism Instructors Evaluation Academic Integrity 52

eSchool News

JUNE 4, 2025

” Differentiation: Customize outputs based on Lexile levels, language proficiency, or IEP modifications. Teaching them how to write effective prompts develops their metacognition, digital citizenship, and academic integrity. Why it matters : Prompt engineering enables adaptive, student-centered teaching at scale.

Ethics 283

Ethics Teachers Essay Feedback 283

eSchool News

APRIL 21, 2025

But experts have also raised ethical concerns about how student data is used (and misused) by AI companies, how students can use AI for cheating and plagiarism, the erosion of critical thinking skills , and the spread of misinformation. Speese said.

Teachers 270

Teachers English Plagiarism Writing 270