Education Commons^™

The Future Of Nursing Leadership: Incorporating E-Learned Artificial Intelligence (Ai) Pathways With A Precautionary Focus On Patient-Centered-Care, Jamie Anne Marcus Dr., Bonnette Villalba Webb

FDLA Journal

Artificial Intelligence (AI) is a data-driven mathematical process that incorporates machine-based-logic, usually in the form of algorithms. Education, training, and competencies are now conducted through virtual reality, robotics, simulation, and technology learning-based-platforms by healthcare organizations. This represents a significant change in the future of nursing practice. The adaptability of technology-based-learning platforms can impact the quality and efficiency of learning for some of the workforce population. Nurses' perception of technology and AI-driven nursing practice may vary based on generational orientation and can be a potential barrier to learning, practicing, and adaptability of this framework. The forging of well-trained resilient nurse leaders …

Artificial Intelligence And Graduate Research – The Possibilities, Limitations, And Guardrails, Yugant Patra

Adult Education Research Conference

Artificial Intelligence tools are evolving as important instruments in graduate-level research. This round table will discuss the use of such tools and the need to maintain the authenticity and rigor of the qualitative graduate research process.

Artificial Intelligence Chatbot As A Mathematics Curriculum Developer: Discovering Preservice Teachers’ Overconfidence In Chatgpt, Amanda G. Sawyer

International Journal on Responsibility

Instructors in many colleges and universities are responsible for supporting their preservice teachers’ understanding of mathematics curriculum to best serve elementary students’ needs. As such, preservice teachers are taught how to critically analyze curriculum materials. However, with the advent of technologies like ChatGPT, preservice teachers are utilizing artificial intelligence (AI) tools in new ways to collate and construct mathematical curricula. As of now, little is known about how to adapt these new resources for the classroom. ChatGPT, an AI chatbot, can create a mathematics curriculum based on user questions, which teachers can then adapt to their classrooms. Although this AI …

Applying The 6e Learning By Design Model To Support Student Teachers To Integrate Artificial Intelligence Applications In Their Classroom, Musa Saimon, Fredrick Mtenzi, Zsolt Lavicza, Kristóf Fenyvesi, Maik Arnold, José Manuel Diego-Mantecón

Institute for Educational Development, East Africa

The 6E Learning by Design (LbD) model can enhance student teachers’ development of competence for integrating technologies in the classrooms including Artificial Intelligence (AI). However, teacher educators rarely use the 6E LbD model in supporting and encouraging student teachers to integrate AI applications in their classrooms effectively. To attract teacher educators to use the 6E LbD model, in the present study, we modeled learning activities for each phase. We also examined the impact of the 6E LbD model in supporting student teachers to integrate AI in the classroom. We adopted a Participatory Action Research approach implemented in two cycles. We …

Predictive Power Of Machine Learning Models On Degree Completion Among Adult Learners, Emily Barnes, James Hutson, Karriem Perry

Faculty Scholarship

The integration of machine learning (ML) into higher education has been recognized as a transformative force for adult learners, a growing demographic facing unique educational challenges. This study evaluates the predictive power of three ML models—Random Forest, Gradient-Boosting Machine, and Decision Trees—in forecasting degree completion among this group. Utilizing a dataset from the academic years 2013-14 to 2021-22, which includes demographic and academic performance metrics, the study employs accuracy, precision, recall, and F1 score to assess the efficacy of these models. The results indicate that the Gradient-Boosting Machine model outperforms others in predicting degree completion, suggesting that ML can significantly …

Strategic Integration Of Ai In Higher Education And Industry: The Ai8-Point Model, Emily Barnes, James Hutson

Faculty Scholarship

The AI8-Point Model, derived from extensive experience in technology, AI, and higher education administration, addresses the critical need for cost-effective, high-impact strategies tailored to higher education. Despite the transformative potential of AI in enhancing student engagement, optimizing processes, and improving educational outcomes, institutions often struggle with practical implementation. The AI8-Point Model fills this gap by offering strategies that balance cost and impact. Visualized as a circle divided into four quadrants, the model encompasses phases of student engagement and institutional interaction: pre-enrollment beyond institutional control, pre-enrollment within institutional control, post-enrollment within institutional control, and post-enrollment beyond institutional control. Each quadrant contains …

The Reality Of Employing Intelligence In The Educational Process From The Point Of View Of The Principals Of Public Schools In Bani Obaid Distract, Deema Al-Ma'ani

Jordan Journal of Applied Science-Humanities Series

This study aimed to identify the reality of employing artificial intelligence in the educational process from the point of view of the principals of public schools in the Bani Obaid District. The study sample consisted of (44) principals from among the principals of public schools in the Bain Obaid District of Irbid Governorate, and they were chosen by a simple random method. The study used the descriptive survey method, and the questionnaire was a tool for data collection and analysis, and the results showed an average reality of artificial intelligence employment in the educational process from the point of view …

Ai In Graphic Design: Here To Help Or Replace Us?, Christian Jovan Rodriguez

Masters Theses

Artificial intelligence is becoming more commonly used in the creative space. With the implementation of AI, it has provided many benefits to working design professionals making their workflow more efficient. AI has also proposed a potential threat to the careers of graphic designers by reducing job opportunities in art and design. This thesis will expand on areas where artificial intelligence is impacting the fields of art and design. Possible use cases will be expressed throughout, for example graphic designers eventually having to adapt and implement the use of AI daily to promote creativity and speed up workflow. After completing this …

Revolutionary Applications Of Generative Ai In Higher Education Institutes (Heis) And Its Implications, Arvind Sahu, Atul Sahu

Library Philosophy and Practice (e-journal)

In recent decades, there has been a notable transformation in educational procedures due to technological breakthroughs, particularly in artificial intelligence (AI). In recent times, there has been a noteworthy advancement and acceptance of generative artificial intelligence (AI) models, specifically exemplified by the emergence of Generative Pre-trained Transformers (GPT). Within the overarching category of Generative AI, various AI tools and technologies facilitate the production of computer-generated text, images, and other forms of digitized media. This paper comprehensively analyzes the concepts and implications of the discourse surrounding Generative AI. By adopting a position that advocates for the acceptance rather than the opposition …

Can Ai Become An Information Literacy Ally? A Survey Of Library Instructor Perspectives On Chatgpt, Melissa S. Del Castillo, Hope Y. Kelly

Works of the FIU Libraries

Libraries can play a role in navigating the AI era by integrating these tools into information literacy (IL) programs. To implement generative AI tools like ChatGPT effectively, it is important to understand the attitudes of library professionals involved in IL instruction toward this tool and their intention to use it for instruction. This study explored perceptions of ChatGPT using survey data that included acceptance factors and potential uses derived from the emerging literature. While some librarians saw potential, others found it too unreliable to be useful; yet the vast majority imagined utilizing the tool in the future.

Plagiarism And Original Authorship In The Age Of Ai: Present Complications And Future Directions, Sarah D. Lagioia

Electronic Theses, Projects, and Dissertations

The concept of plagiarism, or the passing off of work produced by others as one’s own without appropriate acknowledgement of the source of creation, is not a new one. It is, however, being complicated in new and interesting ways by technological innovations such as artificial intelligence (AI)-based natural-language processing (NLP). In this paper, I investigate the present complications of defining and responding to plagiarism in the age of AI and suggest the future direction of our grappling with text-generative NLP programs such as OpenAI’s ChatGPT. This paper will describe perspectives on plagiarism and potential reasons behind the use of AI …

Optimizing Adult Learner Success: Applying Random Forest Classifier In Higher Education Predictive Analytics, Emily Barnes, James Hutson, Karriem Perry

Faculty Scholarship

This study examines the application of the Random Forest Classifier (RF) model in predicting academic success among adult learners in higher education. It focuses on evaluating the model's effectiveness using key statistical measures like accuracy, precision, recall, and F1 score across a comprehensive dataset from 2013–14 to 2021–22, which includes variables such as age, ethnicity, gender, Pell Grant eligibility, and academic performance metrics. The research highlights the RF model's capability to handle large datasets with varying data types and demonstrates its superiority over traditional regression models in predictive accuracy. Through an iterative process, the study refines the RF model to …

Ethical Imperatives And Challenges: Review Of The Use Of Machine Learning For Predictive Analytics In Higher Education, Emily Barnes, James Hutson, Karriem Perry

Faculty Scholarship

The escalating integration of machine learning (ML) in higher education necessitates a critical examination of its ethical implications. This article conducts a comprehensive review of the application of ML for predictive analytics within higher education institutions (HEIs), emphasizing the technology's potential to enhance student outcomes and operational efficiency. The study identifies significant ethical concerns, such as data privacy, informed consent, transparency, and accountability, that arise from the use of ML. Through a detailed analysis of current practices, this review underscores the need for HEIs to develop robust ethical frameworks and technological infrastructures to navigate these challenges effectively. The findings reveal …

Beyond Navigating: Empowering Ourselves And Our Communities Through Critical Technology And Information Research, Sarah Appedu

Georgia International Conference on Information Literacy

Artificial intelligence systems are increasingly being sold to the public as transformative, world-changing, life-improving advancements in human evolution. Information literacy librarians have and will continue to play an instrumental role in challenging and critiquing new technological “advancements” that make their way into the lives and practices of their organizations and communities. However, librarians may be underutilizing the important skills they hold in evaluating complex information sources and systems when helping their communities critically respond to new tools like those powered by artificial intelligence. While emphasizing skills related to source evaluation, identifying algorithmic bias, and critically examining the economic context of …

Artificial Intelligence: Integration In Higher-Level Accounting Teaching And Learning Practices, Sarah Rahim

Honours Bachelor of Business Administration

This literature review examines the issues related to the integration of artificial intelligence in accounting education within the Ontario college context. A review of current scholarly literature reveals important benefits including improved teaching and learning practices. However, the research also cautions about some of the disadvantages including bias and academic integrity breaches. Stakeholder perceptions to artificial intelligence are also explored, including those of educators, students, employers, governments, advocacy groups, and developers. The literature revealed that artificial intelligence can be effectively integrated into classrooms and teaching/learning practices via course design, grading, intelligent tutoring, and planning. However, it also cautioned about the …

Don't Panic! Chatgpt Doesn't Have All The Answers., Elizabeth Tate, Will Phillips, Shawn Keough

Journal of the North American Management Society

This theoretical paper aims to examine the potential benefits and harms of using ChatGPT, a large language model, in post-pandemic higher education institutions. Specifically, we explore how ChatGPT can assist educators in creating more interactive and personalized learning experiences for students. Additionally, we consider the potential negative effects of relying too heavily on ChatGPT. Furthermore, we address the ethical concerns raised by using ChatGPT in the classroom, such as issues of privacy and bias. Overall, this theoretical paper provides an analysis of the use of ChatGPT for promoting quality education in a post-COVID world.

Suggested Ethical Standards For Employing Artificial Intelligence In Scientific Research: An Analytical Study, هبة أبو عيادة, أنس عضيبات

Jerash for Research and Studies Journal مجلة جرش للبحوث والدراسات

This study aimed to build suggested ethical standards to employ artificial intelligence in scientific research, to achieve ethical use efficiently and effectively, manage current ethical crises, and solve problems in creative scientific ways, through analysis and review of previous research and studies, and educational literature during the current year (2022/2023) to ensure a therapeutic vision integrated according to clear steps to achieve ethical employment of effective artificial intelligence applications and sustainable development. The current study differs from previous studies in the methodology of the study, as it adopts the analytical approach and in the light of the results of previous …

Machine Learning Analysis Of Chronotype And Mental Toughness In Predicting Sleepiness Among Collegiate Dancers: Preliminary Findings, Alyssa Hudson, Andreas Stamatis

International Journal of Exercise Science: Conference Proceedings

Understanding the interplay between chronotype (a trait-like characteristic denoting an individual's inherent preference for sleep and activity periods), mental toughness (MT; a state-like construct that equips individuals with the skills to endure adversity while pursuing goals), and sleepiness (a fluctuating state of propensity towards dozing off) is critical in domains where optimal performance is crucial, such as in athletics. The utilization of machine learning (ML) techniques to explore the impact of MT and chronotype on sleepiness categorization is notably scarce in collegiate dancing; thus, this approach could provide novel insights into managing dancers’ health and performance. PURPOSE: To evaluate …

The Grizzly, February 15, 2024, Marie Sykes, Sidney Belleroche, Nicolas Ungurean, Renie Christensen, Mairead Mcdermott, Dominic Minicozzi, Adam Denn

Ursinus College Grizzly Newspaper, 1978 to Present

Freedom, Transformation and Pathways: Spring Exhibits at the Berman • Ursinus Faculty Discusses Generative A.I. • An Artist's Craft: The Making of Running Away • Everybody Dies • Opinions: What Was Your Favorite Memory Studying Abroad? • Ursinus Athletics Crossword • Bears Come in the Clutch: Ursinus Reels Off Two Straight Victories

Are State Comprehensive Institutions Prepared For Ai? Not Yet., Brent J. Goertzen, Brett L. Whitaker, Donnette J. Noble, Justin Greenleaf, Ryan D. Olsen

Teacher-Scholar: The Journal of the State Comprehensive University

The rise of artificial intelligence (AI) has profound implications for higher education and teaching and learning. The present study, conducted at a state, comprehensive university (SCU) is the US Midwest, evaluated how effective faculty in a leadership focused program are at differentiating between human or AI-generated content. Participants reviewed 12 “student assignments” representing short answer essays, and completed the following tasks: 1) evaluated the assignment on three dimensions of the grading rubric; 2) assigned a percent grade; 3) indicated whether it was human or AI-generated; and 4) provided a rationale for their selection.

Evolving technologies like ChatGPT and other LLMS …

Chatgpt Is A Liar And Other Lessons Learned From Information Literacy Instructors, Melissa S. Del Castillo, Hope Y. Kelly

Works of the FIU Libraries

Wondering where generative artificial intelligence (AI) fits in information literacy instruction? This session will share findings from a recent survey of library professionals on how they are already teaching about and using AI powered ChatGPT in information literacy instruction and where they see potential opportunities and areas of concern. Survey analysis will include information about attitudes, current and anticipated use, and descriptions of teaching methods that leverage the technology. As we navigate the survey results, attendees will have the opportunity to share their own perspectives on the same questions via live polling. We will then turn to attendees to share …

Where’S My Teacher? Factors Influencing Teacher Retention/Attrition In A Post-Covid Landscape, Kyle Robinson

CGU Theses & Dissertations

The COVID-19 pandemic was an unprecedented event in modern educational history that resulted in a dramatic upheaval of the traditional school system. The shift from brick-and-mortar to virtual instruction resulted in profound anxiety and demand (Kush et al., 2021). As the quarantine ended, the return to the physical classroom brought with it new, unanticipated stressors such as COVID-19 safety protocols, shifts in student behavior, and pronounced learning gaps from virtual instruction. Coupled with existing tensions, many educators who had previously identified as career teachers became “likely pandemic leavers” as they departed the profession (Steiner, 2021). While there is ample research …

Pre-Calculus: Thinking Deeply About Simple Things, Jacob Carter

Graduate Research Showcase

“Pre-Calculus: Thinking Deeply About Simple Things” is a research-based creative endeavor focused on designing a high-school pre-calculus course. This course aims to foster deep, meaningful thinking, as well as an appreciation of the values of diversity, equity, and inclusion in the math classroom. The course leverages students’ funds of knowledge to employ culturally responsive teaching methods to connect mathematical concepts to the students’ backgrounds, interests, and real-life situations. This course also integrates social-emotional learning to create an engaging and supportive learning environment for all students. By combining Peter Liljedahl’s “Building Thinking Classroom in Mathematics” approach with problem-based learning, the course …

Differences In Student-Ai Interaction Process On A Drawing Task: Focusing On Students' Attitude Towards Ai And The Level Of Drawing Skills, Jinhee Kim, Yoonhee Ham, Sang-Soog Lee

STEMPS Faculty Publications

Recent advances and applications of artificial intelligence (AI) have increased the opportunities for students to interact with AI in their learning tasks. Although various fields of scholarly research have investigated human-AI collaboration, the underlying processes of how students collaborate with AI in a student-AI teaming scenario have been scarcely investigated. To develop effective AI applications in education, it is necessary to understand differences in the student-AI interaction (SAI) process depending on students' characteristics. The present study attempts to fill this gap by exploring the differences in the SAI process amongst students with varying drawing proficiencies and attitudes towards AI in …

Types Of Teacher-Ai Collaboration In K-12 Classroom Instruction: Chinese Teachers' Perspective, Jinhee Kim

STEMPS Faculty Publications

The advancing power and capabilities of artificial intelligence (AI) have expanded the roles of AI in education and have created the possibility for teachers to collaborate with AI in classroom instruction. However, the potential types of teacher-AI collaboration (TAC) in classroom instruction and the benefits and challenges of implementing TAC are still elusive. This study, therefore, aimed to explore different types of TAC and the potential benefits and obstacles of TAC through Focus Group Interviews with 30 Chinese teachers. The study found that teachers anticipated six types of TAC, which are thematized as One Teach, One Observe; One Teach, One …

Ai And English Language Teaching: Affordances And Challenges, Helen Crompton, Adam Edmett, Neenaz Ichaporia, Diane Burke

STEMPS Faculty Publications

English is one of the most used languages for jobs, markets, tourism, discourse and international connectivity. However, English learners face many challenges in gaining English language skills. Extant studies show that AI has affordances to support in English language teaching and learning ELT/L. This study answers the call to examine specific challenges and affordances for using AI in ELT/L. A systematic review method was used with PRISMA principles to identify 42 studies. Findings reveal the geographical locations of studies, learner ages and years of study. Grounded coding was then used to identify affordances of the use of AI in ELT/L …

The Educational Affordances And Challenges Of Chatgpt: State Of The Field, Helen Crompton, Diane Burke

STEMPS Faculty Publications

ChatGPT was released to the public in November 30, 2022. This study examines how ChatGPT can be used by educators and students to promote learning and what are the challenges and limitations. This study is unique in providing one of the first systematic reviews using peer review studies to provide an early examination of the field. Using PRISMA principles, 44 articles were selected for review. Grounded coding was then used to reveal trends in the data. The findings show that educators can use ChatGPT for teaching support, task automation, and professional development. These were further delineated further by axial sub …