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Testing of detection tools for AI-generated text - International Journal for Educational Integrity
Testing of detection tools for AI-generated text - International Journal for Educational Integrity
Recent advances in generative pre-trained transformer large language models have emphasised the potential risks of unfair use of artificial intelligence (AI) generated content in an academic environment and intensified efforts in searching for solutions to detect such content. The paper examines the general functionality of detection tools for AI-generated text and evaluates them based on accuracy and error type analysis. Specifically, the study seeks to answer research questions about whether existing detection tools can reliably differentiate between human-written text and ChatGPT-generated text, and whether machine translation and content obfuscation techniques affect the detection of AI-generated text. The research covers 12 publicly available tools and two commercial systems (Turnitin and PlagiarismCheck) that are widely used in the academic setting. The researchers conclude that the available detection tools are neither accurate nor reliable and have a main bias towards classifying the output as human-written rather than detecting AI-generated text. Furthermore, content obfuscation techniques significantly worsen the performance of tools. The study makes several significant contributions. First, it summarises up-to-date similar scientific and non-scientific efforts in the field. Second, it presents the result of one of the most comprehensive tests conducted so far, based on a rigorous research methodology, an original document set, and a broad coverage of tools. Third, it discusses the implications and drawbacks of using detection tools for AI-generated text in academic settings.
AIAI#AI#artificial intelligence#assessment#education#learning#chatGPT#students#writing#technology#student#detection
·edintegrity.biomedcentral.com·
Testing of detection tools for AI-generated text - International Journal for Educational Integrity
HOW AI AND HUMAN BEHAVIORS SHAPE PSYCHOSOCIAL EFFECTS OF CHATBOT USE: A LONGITUDINAL RANDOMIZED CONTROLLED STUDY
HOW AI AND HUMAN BEHAVIORS SHAPE PSYCHOSOCIAL EFFECTS OF CHATBOT USE: A LONGITUDINAL RANDOMIZED CONTROLLED STUDY
"Results showed that while voice-based chatbots initially appeared beneficial in mitigating loneliness and dependence compared with text-based chatbots, these advantages diminished at high usage levels, especially with a neutral-voice chatbot. Conversation type also shaped outcomes: personal topics slightly increased loneliness but tended to lower emotional dependence compared with open-ended conversations, whereas non-personal topics were associated with greater dependence among heavy users. Overall, higher daily usage—across all modalities and conversation types—correlated with higher loneliness, dependence, and problematic use, and lower socialization. Exploratory analyses revealed that those with stronger emotional attachment tendencies and higher trust in the AI chatbot tended to experience greater loneliness and emotional dependence, respectively. These findings underscore the complex interplay between chatbot design choices (e.g., voice expressiveness) and user behaviors (e.g., conversation content, usage frequency). We highlight the need for further research on whether chatbots’ ability to manage emotional content without fostering dependence or replacing human relationships benefits overall well-being."
AIAI#artificial intelligence#AI#students#mental health#psychology#lonliness#research#2025
·arxiv.org·
HOW AI AND HUMAN BEHAVIORS SHAPE PSYCHOSOCIAL EFFECTS OF CHATBOT USE: A LONGITUDINAL RANDOMIZED CONTROLLED STUDY
Anthropic Education Report: How University Students Use Claude \ Anthropic
Anthropic Education Report: How University Students Use Claude \ Anthropic
AI systems are no longer just specialized research tools: they’re everyday academic companions. As AIs integrate more deeply into educational environments, we need to consider important questions about learning, assessment, and skill development. Until now, most discussions have relied on surveys and controlled experiments rather than direct evidence of how students naturally integrate AI into their academic work in real settings.
AIAI#AI#artificial intelligence#education#students#student#teaching#higher education#learning#university students#Claude#Anthropic
·anthropic.com·
Anthropic Education Report: How University Students Use Claude \ Anthropic
Carnegie Learning Report: The State of AI in Education 2025
Carnegie Learning Report: The State of AI in Education 2025
In case you missed it, Carnegie Learning published a great little report, "The State of AI in Education 2025" which is essentially key findings from a national survey they conducted on hundreds of educators. Not too surprisingly, the #1 potential benefit of students using AI was the newest answer choice added to this year’s survey:…
AIAI#AI#Carnegie Learning#artificial intelligence#edtech#education#students#teaching and learning#teaching#technology#learning#2025
·edtechdigest.com·
Carnegie Learning Report: The State of AI in Education 2025
How Scientific Is Cognitive Load Theory Research Compared to the Rest of Educational Psychology?
How Scientific Is Cognitive Load Theory Research Compared to the Rest of Educational Psychology?
Cognitive load theory (CLT) has driven numerous empirical studies for over 30 years and is a major theme in many of the most cited articles published between 1988 and 2023. However, CLT articles have not been compared to other educational psychology research in terms of the research designs used and the extent to which recommendations for practice are justified. As Brady and colleagues found, a large percentage of the educational psychology articles reviewed were not experimental and yet frequently made specific recommendations from observational/correlational data. Therefore, in this review, CLT articles were examined with regard to the types of research methodology employed and whether recommendations for practice were justified. Across several educational psychology journals in 2020 and 2023, 16 articles were determined to directly test CLT. In contrast to other articles, which employed mostly observational methods, all but two of the CLT articles employed experimental or intervention designs. For the two CLT articles that were observational, recommendations for practice were not made. Reasons for the importance of experimental work are discussed.
#research digest#systematic review#learning#teaching#teaching and learning#education#higher education#students#educational psychology#cognitive load theory
·mdpi.com·
How Scientific Is Cognitive Load Theory Research Compared to the Rest of Educational Psychology?
Critical Thinking in the Age of AI
Critical Thinking in the Age of AI

Throughout human history, we have relied on technology to make our work easier. In this episode, Michelle Miller joins us to discuss how to foster students’ critical thinking skills in the age of AI.

Michelle is a Professor of Psychological Sciences and President’s Distinguished Teaching Fellow at Northern Arizona University. She is the author of Minds Online: Teaching Effectively with Technology, Remembering and Forgetting in the Age of Technology: Teaching, Learning, and the Science of Memory in a Wired World and A Teacher’s Guide to Learning Students’ Names: Why You Should, Why It’s Hard, How You Can. Michelle is also a frequent contributor of articles on teaching and learning in higher education to a variety of publications including The Chronicle of Higher Ed.

A transcript of this episode and show notes may be found at http://teaforteaching.com.

Throughout human history, we have relied on technology to make our work easier. In this episode, Michelle Miller joins us to discuss how to foster students’ critical thinking skills in the age of AI. Michelle is a Professor of Psychological Sciences and President’s Distinguished Teaching Fellow at Northern Arizona University.  She is the author of Minds Online: Teaching Effectively with Technology, Remembering and Forgetting in the Age of Technology: Teaching, Learning, and the Science of Memory in a Wired World and A Teacher’s Guide to Learning Students’ Names: Why You Should, Why It’s Hard, How You Can. Michelle is also a frequent contributor of articles on teaching and learning in higher education to a variety of publications including The Chronicle of Higher Ed. A transcript of this episode and show notes may be found at http://teaforteaching.com.
AIAI#higher education#pedagogy#podcast#teaching#teaching and learning#AI#education#technology#students
·podbean.com·
Critical Thinking in the Age of AI
1994 cupm maa quantitative reasoning for college graduates
1994 cupm maa quantitative reasoning for college graduates

Quantitative Reasoning for College Graduates: A Complement to the Standards

Mathematical Association of America

pp 9 of 36

In short, every college graduate should be able to apply simple mathematical methods to the solution of real-world problems. A quantitatively literate college graduate should be able to:

  1. Interpret mathematical models such as formulas, graphs, tables, and schematics, and draw inferences from them.
  2. Represent mathematical information symbolically, visually, numerically, and verbally.
  3. Use arithmetical, algebraic, geometric and statistical methods to solve problems.
  4. Estimate and check answers to mathematical problems in order to determine reasonableness, identify alternatives, and select optimal results.
  5. Recognize that mathematical and statistical methods have limits.
#assessment#higher education#pedagogy#students#teaching#teaching and learning#education#math#mathematics#learning#quantitative literacy#maa#Mathematical Association of America
·statlit.org·
1994 cupm maa quantitative reasoning for college graduates
Course Workload Estimator
Course Workload Estimator
Established in 2012, the Center for Teaching Excellence at Rice University seeks to transform teaching through mentoring, innovative practices, collaboration, scholarship, and advocacy. The CTE actively engages faculty, staff, students, and community partners, and brings them into conversation to achieve excellence in teaching and learning. We seek to enhance and promote the strong teaching culture at Rice, which is a core value of our institution.
#teaching#education#faculty development#course evaluation#teaching and learning#students
·cte.rice.edu·
Course Workload Estimator
15 Ways to Connect with Students During Remote Learning — @TheMerrillsEDU
15 Ways to Connect with Students During Remote Learning — @TheMerrillsEDU
The first few weeks of school are so important when it comes to lying the foundation for the entire school year. This is the time we build community, learn about one another and develop trust. For educators teaching remotely this is a challenge in and of itself due to the fact that the group will no
#engagement#remote#remote_learning#digital#connect#students
·themerrillsedu.com·
15 Ways to Connect with Students During Remote Learning — @TheMerrillsEDU
Welcome Message
Welcome Message
Description A welcome message to students before the course begins is an important step in establishing your online persona (Bellafiore, 2007; Gibson and Blackwell, 2005; Mensch and Ali, 2007; and Phillips, 2011). The message should include vital information for the course and not be your entire syllabus. The purpose of this communication is to welcome … Continue reading "Welcome Message"
OLC: Designing HQ Instruction OnlineOLC: Designing HQ Instruction Online#OLC#online learning#students#belonging#welcome message#TOPR#course management
·topr.online.ucf.edu·
Welcome Message
Course Orientation Module
Course Orientation Module
Description A Course Orientation Module serves as the orientation to an online course. Creating an Orientation Module is very similar to the events that can occur in first night of a face-to-face class. The purpose of this module is to help students learn the course routine, expectations, and organization as well as ensure that students … Continue reading "Course Orientation Module"
OLC: Designing HQ Instruction OnlineOLC: Designing HQ Instruction Online#OLC#online learning#students#course orientation#belonging#community#TOPR#course management
·topr.online.ucf.edu·
Course Orientation Module