This chapter describes how an enduring friendship based on shared curiosity, vulnerability, trust, generosity, integrity, and commitment over time shaped personal and professional development across intersectional identities.

We reviewed parametric analyses of treatment integrity levels published in 10 behavior analytic journals through 2017. A total of 19 experiments (13 articles) met criteria for review. The objectives were to: (1) determine the number of experiments in which levels of treatment integrity were systematically manipulated; (2) identify the types of…

An increase in Academic Integrity (AI) breaches has resulted in higher education institutions implementing solutions to improve AI competence. It has been argued that to improve students' AI understanding, concepts and skills should be taught at the classroom level and contextual factors should be considered. This article presents an investigation…

A key role of universities is the credentialing of student learning by awarding degrees and diplomas. This requires universities to have confidence in the integrity of their assessment processes and in turn, external stakeholders to have the same confidence. This study investigates the following research question: 'Has COVID-19 had an impact on…

Throughout the history of academics, cheating in various forms has coincided, evolving alongside university advancements. This paper explores the concept of academic dishonesty as a critical issue facing higher education in a modern context, establishes the cause of the problem, and concludes with potential solutions. The idea of academic…

This study examines how secondary English teachers embed generative Artificial Intelligence (AI) in their curricula while preserving genuine student voice and promoting informed approaches to academic integrity. Data was gathered in three public high schools by way of classroom videos, teacher interviews, and student reflective journals. Analysis…

As AI technologies like GPT models continue to reshape various aspects of society, it is imperative to investigate the perceptions and ethical considerations of graduate students regarding GPT's use in academic settings. This mixed-method exploratory study engaged 21 graduate students through surveys and focus group interviews. The findings…

Aim/Purpose: This study investigates the key factors influencing the adoption and use of artificial intelligence (AI) applications among researchers, focusing on effort expectancy, satisfaction, perceived ease of use, and perceived usefulness, which shaped attitudes and drove AI adoption as a research assistant. Background: AI tools have rapidly…

The proliferation of generative artificial intelligence (GenAI) technologies has significantly impacted the educational sector, prompting a re-evaluation of teaching, learning, and assessment practices. This study explores the perceptions of Ontario secondary school teachers regarding the challenges and opportunities presented by GenAI. Using a…

Generative AI has the potential to transform higher education assessment. This study examines the opportunities and challenges of integrating AI into coursework assessments, highlighting the need to rethink traditional paradigms. A case study is presented that explores AI as an auxiliary learning tool in postgraduate coursework. Students found AI…

The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…

The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…

This user-friendly book breaks down technical concepts to make AI understandable for educators without a background in technology. It builds from trusted frameworks and connects AI to the methods and expertise educators already bring to their teaching. Key topics include the basics of generative AI, prompt design, classroom integration, ethical…

There is a gap between people's online sharing of personal data and their concerns about privacy. Till now, this gap is addressed by attempting to match individual privacy preferences with service providers' options for data handling. This approach has ignored the role different contexts play in data sharing. This paper aims at giving privacy…

This study examines how the self-reported cheating behaviors of students from a single large institution serving primarily adult students in online courses differ from those previously reported in large-scale studies of academic integrity among traditional-age college students. Specifically, the research presented here demonstrates that students…