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Full-Text Articles in Education

Strategic Integration Of Ai In Higher Education And Industry: The Ai8-Point Model, Emily Barnes, James Hutson Jun 2024

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 …


Predictive Power Of Machine Learning Models On Degree Completion Among Adult Learners, Emily Barnes, James Hutson, Karriem Perry Jun 2024

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 …


Optimizing Adult Learner Success: Applying Random Forest Classifier In Higher Education Predictive Analytics, Emily Barnes, James Hutson, Karriem Perry May 2024

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 May 2024

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 …


The Unstoppable Rise Of Ai: An Interview With Dr. John Sanford, Spencer Burrows, And Anna Birchler, Brandon Powell, Spencer Burrows Jul 2023

The Unstoppable Rise Of Ai: An Interview With Dr. John Sanford, Spencer Burrows, And Anna Birchler, Brandon Powell, Spencer Burrows

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

AI can both help and hurt the education field (higher education and secondary education). Despite Hollywood’s depiction of artificial intelligence solely in the form of killer death robots decades into the future, AI is much more versatile - and far more dangerous - than any killer robot could be. As artificial intelligence develops at a breakneck pace, its effect on our society will increase exponentially.


Emerging Technology And Pedagogical Application In Design Education, Ritesh Ranjan, Pooja Rana Ms. Jul 2023

Emerging Technology And Pedagogical Application In Design Education, Ritesh Ranjan, Pooja Rana Ms.

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

This research paper investigates the emerging technologies and pedagogical applications in design education. The rapid development of technology has opened up new possibilities for design education, and it is important to explore how these emerging technologies can be used to enhance pedagogical practices. This paper aims to provide a comprehensive understanding of the potential of emerging technologies in design education and their impact on pedagogical practices.

The study employs a qualitative research methodology and draws on a range of literature sources, including academic articles, books, and reports. The research explores the use of emerging technologies such as virtual reality, augmented …


Finchain: Adaptation Of Blockchain Technology In Finance And Business - An Ethical Analysis Of Applications, Challenges, Issues And Solutions, Naresh Kshetri, Keith Miller, Gaurango Banerjee, Bikesh Raj Upreti Jul 2023

Finchain: Adaptation Of Blockchain Technology In Finance And Business - An Ethical Analysis Of Applications, Challenges, Issues And Solutions, Naresh Kshetri, Keith Miller, Gaurango Banerjee, Bikesh Raj Upreti

International Journal of Emerging and Disruptive Innovation in Education : VISIONARIUM

Blockchain Technology is a distributed database technology that has emerged as a ground-breaking technology with several possible solutions to critical applications, say from supply chain management, agribusiness, marketing to healthcare industry including internet of medical things. Although it started as a digital coin (popularly known as bitcoin), it is slowly influencing business, marketing policy and society. We have presented an in-depth study and ethical analysis of how blockchain is applied over the economic and financial sector including banks, credit unions and other retail giants. During our research, we have also investigated how blockchain technology can affect financial institutions around the …


Enhancing Employability For Autistic Graduates: Using Triz Theory To Design Virtual Reality Solutions For Fostering Inclusive Communications In Workplace Environments, Jonathan Proulx Guimond, Jocelyn Kiss, Reyes Consuelo, Miguel Alejandro, Dominique Michaud, Rency Inson Michel, Alexandre Ménard, Isabelle Feillou, Geoffreyjen Edwards, James Hutson, Claude Vincent, Julie Ruel, Sylvain Letscher, Valéry Psyché, Cathia Papi, Martin Caouette Jun 2023

Enhancing Employability For Autistic Graduates: Using Triz Theory To Design Virtual Reality Solutions For Fostering Inclusive Communications In Workplace Environments, Jonathan Proulx Guimond, Jocelyn Kiss, Reyes Consuelo, Miguel Alejandro, Dominique Michaud, Rency Inson Michel, Alexandre Ménard, Isabelle Feillou, Geoffreyjen Edwards, James Hutson, Claude Vincent, Julie Ruel, Sylvain Letscher, Valéry Psyché, Cathia Papi, Martin Caouette

Faculty Scholarship

The underemployment of post-secondary graduates with autism (AP-PSD) is a critical concern. This issue often stems from difficulties in workplace integration and communication. This research explores the potential of virtual reality (VR) systems to alleviate these challenges by simulating work environments. The methodology, rooted in the TRIZ Theory, a problem-solving algorithm, refines the use of VR systems for enhanced adaptability and efficiency. The primary objectives include enhancing employers' understanding of AP-PSD-related issues and identifying significant workplace challenges faced by AP-PSDs. Through literature reviews, surveys, and focus groups, the study investigates the factors impacting AP-PSDs and identifies key components to develop …


Museums And The Metaverse: Emerging Technologies To Promote Inclusivity And Engagement, James Hutson, Piper Hutson Feb 2023

Museums And The Metaverse: Emerging Technologies To Promote Inclusivity And Engagement, James Hutson, Piper Hutson

Faculty Scholarship

Over the past two decades, museums have increasingly sought to build connections with the community and increase inclusivity of visitors. At the same time, emerging technologies, such as extended reality (XR) and virtual museums (VM) are increasingly adopted to engage with different generational expectations but also for the purposes of supporting inclusivity and neurodiverse populations. First such technologies were adopted to augment exhibitions in the physical museum space for edutainment. Since then, XR has expanded from room-size environments (CAVEs) and augmented exhibitions to the creation of entire virtual museums, such as The Museum of Pure Form and The Virtual Museum …