Development And Initial Validation Of The Comprehensive Ai Integration Readiness Survey (Caiirs), Richard D. Amoako, Jennifer A. Morrow

International Journal of Teaching and Learning in Higher Education

Artificial intelligence (AI) has emerged as a transformative force in higher education, improving learning and optimizing administrative operations. However, the adoption and integration of AI in learning environments have received limited research attention until recently. Consequently, this research aimed to develop and validate a scale to assess readiness and preparedness among higher education faculty members for the integrative adoption of AI in learning and teaching practices. A nationwide survey was used to collect data from faculty at universities and colleges in the United States. The CAIIRS scale was developed after an extensive review of scholarly literature. Exploratory factor analysis was …

Hbcu College Of Education Faculty's Knowledge And Attitudes Of Artificial Intelligence, Felicia Taylor

Tennessee State University Alumni Theses and Dissertations

Abstract The integration of artificial intelligence (AI) in K–12 education has rapidly transformed teaching and learning by enabling personalized instruction, automating assessments, and enhancing student engagement. However, the readiness of teacher educators at Historically Black Colleges and Universities (HBCUs) to prepare future teachers for AI-enhanced classrooms remained underexplored. This mixed-methods study examined the knowledge, attitudes, skills, and perceived barriers among faculty in the College of Education at an HBCU regarding the integration of AI into teacher preparation programs. Quantitative survey data and qualitative open-ended responses were collected and analyzed to assess faculty understanding of AI tools, their perceptions of the …

Use Of Innovative Methods In The Creation Of Testing And Assessment Materials For Future Computer Science Teachers, Gulzhan Mazhibayeva, Serik Kenesbayev, Salamat Idrissov, Indira Salgozha, Zhanel Akhmetova

Higher Learning Research Communications

Objectives:This study aims to examine the effectiveness for future computer science teachers of employing innovative methods when creating innovative testing and assessment materials.

Methods:The methodology for this study involved analyzing survey data using statistical methods, such as descriptive analysis, correlation analysis, analysis of variance (ANOVA), regression, and factor analysis to evaluate the effectiveness of innovative methods in computer science education. Additionally, this study incorporated virtual labs, learning management systems, interactive quizzes, and artificial intelligence–based assessment tools to enhance learning outcomes and student engagement. We collected survey responses for this study from 56 student participants. We then developed a …

Perspectives Of Efl Teachers Toward The Influence Of Ai Writing Tools On Students' Writing Content And Organization, Nguyen Huu Hoang

Higher Learning Research Communications

Objectives: This study investigated Vietnamese English as a foreign language (EFL) teachers’ perspectives on the influence of artificial intelligence (AI) writing tools on students’ writing content and organization, examining tool selection patterns and effectiveness relationships through a mixed-methods approach.

Methods: An exploratory sequential mixed-methods design was employed, combining semi-structured interviews and classroom observations with six EFL teachers, followed by a survey of 52 teachers from various Vietnamese universities. Data analysis integrated thematic analysis of qualitative data with correlation and regression analyses of survey responses to examine relationships between usage patterns, institutional factors, and effectiveness ratings.

Results: Teachers strategically combined multiple …

Greater Newark Stem Ecosystem - 2026 Convening - Small Group Outcomes & Action Plan, Brad Schenker

STEM for Success Showcase

In January 2026, GNSE convened ecosystem partners for a co-design session focused on identifying shared challenges, opportunities, and near-term actions to strengthen STEM education and career-connected learning. Participants engaged in small-group discussions to surface barriers, enablers, and potential areas for coordinated action.

The Ai Academic Integrity Dichotomy: A Gender Lens, N. Sayegh, S. Larloulian, A. C. Elias, Leila Halawi

Publications

Using a gender lens, this research explores the intersection of artificial intelligence (AI) educational tools and academic integrity. Studies suggest gender differences exist in academic dishonesty rationalization, with males potentially exhibiting more opportunistic behaviors. This qualitative study collected data through 30-minute face-to-face semi-structured interviews, recorded with consent, and analyzed thematically. Four significant themes emerged: Gender Perspectives on AI Tool Usage, Patterns of AI Tool Utilization, Academic Integrity Concerns, and Implications of Academic Dishonesty. The results indicate that educational establishments should adopt responsible AI governance frameworks and ethical guidelines to uphold academic standards while promoting scholarly integrity and institutional trust.

Unpacking The Impact Of Screen Time On Attention And Focus On Elementary Students In Elizabeth, Nj, Gabriela M. Rivera, Shanique Coombs

The Kean Review: Journal in Student Research

As digital technology becomes more embedded in everyday life, concerns have grown on how it can impact children’s cognitive development. This study explores how screen time influences attention span and focuses on elementary school students in Elizabeth, NJ. Research was conducted utilizing a quantitative method. Exactly 20 parents of elementary school students voluntarily filled out a Microsoft Forms questionnaire. The data suggests a strong correlation between excessive screen time and a decrease in focusing abilities, especially in an academic setting. These results highlight a need for limits on screen exposure among children to promote proper cognitive development and overall well-being.

Informing Change: A Final Research Report On The Findings From The Longitudinal R&D Partnership For Math Equity Project, H. Colleen Sinclair, Samuel Robison, Youn Kyoung Kim, Stacey R. Terrio, Judith Lee Falgout Rhodes

Reports

This report covers a three-year partnership between the LSU Social Research and Evaluation Center, East Baton Rouge Parish Schools (EBR Schools), and DreamBox Learning, in which we conducted a longitudinal, multi-method examination of the effectiveness of DreamBox’s tech-based math intervention on EBRPS student performance. The three key research questions – developed with guidance from our Gates Foundation funding partners – are outlined below with abbreviated conclusions. The body of the report provides further detail on the methods, results, and interpretations of our quantitative study. We complement these conclusions with qualitative insights drawn from focus groups with teachers and students.

A Strengths, Weaknesses, Opportunities, And Threats (Swot) Analysis Of Chatgpt In Academic Help-Seeking, Fan Yang

International Journal of Teaching and Learning in Higher Education

This study explores the use of ChatGPT as a help-seeking tool in educational contexts, examining both its potential benefits and costs through a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis. The purpose is to provide a comprehensive understanding of the various internal and external factors that either promote or hinder the use of ChatGPT for academic help-seeking. The strengths of ChatGPT, such as its 24/7 availability to provide immediate responses, non-judgmental tone, and the ability to provide personalized help based on specific prompts, position itself as a valuable resource for help-seekers. However, the low quality of the responses generated by …

Attitudes Of English Language Trainers At Technical Colleges In Saudi Arabia Towards Using Artificial Intelligence Applications In Teaching, Khalid Mohammad Alhomidhi

International Journal for Research in Education

The research aimed to identify the attitudes of English language trainers in Saudi technical colleges towards the use of artificial intelligence (AI) applications in teaching, considering certain variables. The sample included 140 male and female trainers. A descriptive approach was used, and an attitude scale of 43 items across five dimensions was developed and validated. Results showed that the dimensions of acceptance, interest, and curriculum compatibility with AI applications were rated as “strongly agree” with a very high degree. Meanwhile, the dimensions of evaluation of AI use in teaching and availability of AI tools, training, and support were …

The Hidden Opportunities Within The Stem Workforce Pipeline, Brad Schenker

STEM for Success Showcase

_{Five Connections in STEM Education That Can Harmonize America's Workforce Pipeline}

The recent changes to our education system have created a state of uncertainty and instability, which presents a unique moment in time to change systemic design failures that can be accomplished within existing budget, people and resource constraints.

This analysis of research, mostly from 2015-2025, identifies five opportunities in the STEM workforce pipeline to create “Moments of Impact” that can change the direction of a student's STEM education pathway.

Editorial Note: Genai For Academic Writing – Friend Or Foe?, Corina D. Riantoputra, Turro S. Wongkaren, Edo S. Jaya, Laras Sekarasih, Muhammad Abdan Shadiqi

Makara Human Behavior Studies in Asia

In an article published in Nature titled “ChatGPT listed as author in research papers” Stone-Walker (2023) shocks the academic community with the fact that GenAI tools such as ChatGPT and Gemini have gained a substantive role in the production of knowledge and academic writing. He reports that one research company has published 80 articles produced by GenAI in academic journals.  In the wake of Stone-Walker’s article, many publishers and journal editors set guidelines in relations to the role of GenAI in academic writings. All of them disagree to allow GenAI as an author.  Further, the Stanford University Artificial Intelligence Index …

Students’ Motivation For Online Learning Of English As A Second Language Through The Lens Of The Self-Determination Theory, Wajeeh Daher, Ahlam Anabousy, Ahmad Amer, Nael Issa

Higher Learning Research Communications

Learning English as a second language (ESL) can be challenging for students, so it is essential to keep them motivated. One way to motivate students is through electronic programs (e-programs) that can enhance their motivation to learn. This research examined student learning motivation through the lens of the self-determination theory (SDT), with 39 preparatory-year students participating and learning in a blended context. Nine students were interviewed regarding their motivation to learn English using the electronic program, and both quantitative and qualitative research methods were used to examine participants’ motivation to learn English in that context. The quantitative results indicated that …

Future-Proofing Malaysian Graduates Through Industry-Recognised Credentials And Artificial Intelligence (Ai) Competencies: Case Studies From Industry Leaders., Yeoh Jor Ji

Student Works (2020-2029)

The evolving demands of Malaysian industries for highly skilled graduates have intensified competition and highlighted a growing skills mismatch, as academic institutions struggle to align their offerings with workforce needs. Recent data from the Department of Statistics Malaysia (DOSM) shows a 4.2% rise in the number of graduates in 2023, along with a 4.3% decrease in the unemployment rate due to the recovery of the economy after the pandemic. However, youth graduates aged 24 years and below experienced a high skill-related underemployment rate, which remained at 67.0% in 2023 compared to 62.3% in 2022. Despite an increasing number of graduates, …

Correlation Analysis Of Factors Associated With Students’ Numeracy Skills Using Decision Tree Algorithms, Yenita Roza, Arisman Adnan, Zul Indra, Tuti Alawiyah

Numeracy

Numeracy is a critical competency for academic and everyday functioning. This study investigates the key factors associated with students’ numeracy skills by employing decision tree algorithms as a data mining technique. The dataset used in this study is educational assessment data from Indonesia. Utilizing a dataset comprising 6,953 entries and 60 variables from Education Report, the research adopts an exploratory approach involving data preprocessing, exploratory data analysis, and decision tree model construction. The findings reveal that students’ literacy skills serve as the most dominant predictor of numeracy proficiency, emerging as the root node in the decision tree structure. Additional associated …

Effects Of Student Response System In University Foundation Courses – Excerpts From A Doctoral Study, Grace M. Tuttle

International Journal of Teaching and Learning in Higher Education

This paper is an excerpt on the author's doctoral study titled “Effects of Student Response System in University Foundations (UF) Courses.” This quasi-quantitative study explored the effects of iClicker technology on students’ academic performance based on final course grades, participation, and attendance in university foundation courses. This study evaluated data from 7,812 participants between spring 2017 to autumn 2019. The logistic regression analysis showed that for students in the clicker group, the odds of earning a final grade of A or B increased by a factor of 1.28 for each one standard deviation increase in participation z-score, controlling for other …

Implementing An Interprofessional Virtual Journal Club For Health-Focused Students, Hillary L. Roberts, Cynthia Aurentz, Mccall E. Christian, Jessica K. Willis, Caitlin J. Masterson

Journal of Dietetic Education

Students (N = 135) pursuing degrees in health-focused programs participated in an interprofessional virtual journal club during the spring semesters of 2022 and 2023. The journal club was integrated into multiple courses and facilitated through the university’s learning management system and a web conferencing platform. Students applied the 2016 Interprofessional Education Collaborative (IPEC) Core Competencies throughout the activity. The journal club included four pre-selected articles on ethics in healthcare, and students developed one discussion question per article to guide synchronous virtual discussions. The IPEC Competency Self-Assessment Tool was administered before and after participation. Paired samples t-tests showed statistically significant change …

Understanding Technology Integration Through Hermeneutic Interpretation: A Study Of Faculty Experiences At An Hbcu, Jill Ardley, Tamara Smith-Moyler, Keesha M. Kerns, Beatrice Darden-Woody, Priscilla Spencer, Ronald White

International Journal of Teaching and Learning in Higher Education

This study explores how six education faculty members in the School of Education at a Historically Black College and University (HBCU) in the southeastern United States interpret and implement instructional technology instruction through a hermeneutic theoretical lens. Grounded in the HBCU’s School of Education vision statement, the research investigates how faculty members’ understanding of human learning behaviors shapes their pedagogical choices within School of Education courses. The qualitative analysis revealed three key themes: (1) Technology as a Tool for Equity and Inclusion, (2) Alignment with the School of Education Vision, and (3) Student-Centered, Practice-Oriented Use of Technology. Rather than employing …

Addressing The Void Of Ai Policies In Education For Students With Specific Learning Disabilities, Mikyung Shin, Fatmana Deniz, Latesha Watson, Cynthia Dieterich, Kathy B. Ewoldt, Friggita Johnson, Jennifer E. Kong, Sung Hee Lee, April Whitehurst

Education Faculty Articles and Research

The purpose of this study was to identify the current state of artificial intelligence (AI) policies in U.S. education and propose actionable recommendations through large language model–based topic modeling and Delphi surveys. Out of 12 policy documents released between 2015 and 2025, only two documents (National Center for Learning Disabilities, 2024; W.A. v. Clarksville/Montgomery County School System, 2024) specifically addressed learning disabilities. Policy documents addressing topics such as AI-driven risk assessment, data protection, legal risk management, and ethical guidelines covering other disabilities and general AI in education policy were provided as baselines that could be discussed and validated through …

The Characteristics Of A University And Urban Elementary School Partnership Project: Interventions That Impact Teacher Self-Efficacy And Their Emerging Social Network, Susan R. Cusack

Educational Studies Dissertations

The purpose of this research was to re-analyze and extend findings established by the 2011 – 2015 evaluation of a university partnership with an urban elementary school in the northeast region of the United States. While the original evaluation examined multiple domains related to the impact of the partnership’s effects on these elementary school teachers, my research will narrow and deepen the study of two domains: Teacher Self-Efficacy and Social Networks, both socio-affective variables that change over time. This research is grounded in theories related to teacher self-efficacy, social networks in education, and the emergence of a robust community of …