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Coding, Machine Learning, And Game Engines In Initial Teacher Training, Sara Redondo-Duarte, José Manuel Sáez-López 2026 National University of Distance Education (UNED), Spain

Coding, Machine Learning, And Game Engines In Initial Teacher Training, Sara Redondo-Duarte, José Manuel Sáez-López

Journal of Educational Technology Development and Exchange (JETDE)

This study evaluated the integration of coding, visual block programming, game engines, and machine learning (ML) modeling in initial teacher education. The aim was to examine the feasibility of this instructional approach and its association with pre-service teachers’ computational knowledge and attitudes toward programming and artificial intelligence (AI). A one-group pretest-posttest design was implemented with 129 undergraduate students enrolled in Primary Education degree programs at two public universities in Spain. Knowledge of computational concepts was assessed with a 10-item test analyzed using a paired-samples Student’s t-test, while attitudes toward programming and ML were evaluated with two Likert scales analyzed using …


Investigation Of Dean’S Transformational Leadership Profiles And Digital Transformation Maturity In Guangxi Public Higher Vocational Colleges, Lili Ding, Jamilah Binti Ahmad, YuQiang Luo 2026 Universiti Teknologi Malaysia, Malaysia

Investigation Of Dean’S Transformational Leadership Profiles And Digital Transformation Maturity In Guangxi Public Higher Vocational Colleges, Lili Ding, Jamilah Binti Ahmad, Yuqiang Luo

Journal of Educational Technology Development and Exchange (JETDE)

Background: As China builds an innovation-driven economy, vocational education provides essential skilled workers for key industries, helping to elevate vocational colleges into crucial centers for talent development and social mobility. In this context, the dean’s transformational leadership may play an important role in supporting institutional digital transformation.

Research Question: How do deans’ transformational leadership domains predict institutional digital transformation maturity across leadership and pedagogy in vocational education?

Methods: A sequential explanatory mixed-methods design combined a faculty survey with semi-structured interviews. Valid survey responses from 30 faculty members were analyzed using descriptive statistics, correlations, and regression, followed by thematic analysis of …


Investigating The Viability Of Fully Online Asynchronous Physics Instruction In Formal Education, Clifton W. Massey-Noel 2026 University of Texas at Arlington

Investigating The Viability Of Fully Online Asynchronous Physics Instruction In Formal Education, Clifton W. Massey-Noel

Physics Dissertations

In this dissertation we present results from two consecutive investigations into the fully online asynchronous modality in Physics Education. We first discuss the efficacy of a fully online asynchronous section of Modern Physics held in Fall 2024. The asynchronous section is compared with four prior partially-flipped sections of the same class, two of which were held in-person, and two of which were held synchronously online. Results suggest that all three modalities can be made to be about equally as effective. We also discuss the efficacy of a fully online asynchronous section of Calculus-Based Introductory Mechanics held in Fall 2025. The …


Hear & Now: Culturally Responsive Music Education Through Digital Audio Workstations & Musique Concrète, Benjamin T. Connolly 2026 Pitzer College

Hear & Now: Culturally Responsive Music Education Through Digital Audio Workstations & Musique Concrète, Benjamin T. Connolly

Pitzer Senior Theses

Hear & Now: Culturally Responsive Music Education Through Digital Audio Workstations & Musique Concrète is a two-part ethnomusicological study of how the capacities and affordability of modern electronic instruments could be utilized within school curricula as an affordable alternative to traditional music classes. I explore the musique concrète movement from mid-20th century France, aiming my examination towards the movement’s emphasis on the materiality of sound production and utilization of modern technology during the composition process. From there, the paper transitions into a study on the affordances of contemporary music technologies through a series of interviews with electronic composers, tracing the …


Exploring Factors Predicting Teachers’ Intentions To Use Digital Games In Saudi Elementary Schools, Thamarah M. Alqahtani 2026 Northern Illinois University

Exploring Factors Predicting Teachers’ Intentions To Use Digital Games In Saudi Elementary Schools, Thamarah M. Alqahtani

Graduate Research Theses & Dissertations

Despite the potential benefits of integrating digital games in teaching and learning environments, little research has been carried out to understand the perception of elementary school teachers in the Kingdom of Saudi Arabia (KSA) towards integrating digital games into the classroom. This study aims to understand Saudi elementary teachers’ intention of using the digital games in elementary school classrooms using Theory of Planned Behavior (TPB) model, and to provide crucial insights for the KSA’s Ministry of Education’s (MOE) administrators in developing evidence-based teacher training and effective school technology-integration policies. The Theory of Planned Behavior (TPB) was used to assess Saudi …


Raw Dataset For 300 University Ai Choices, Amanda Potasznik 2026 University of Massachusetts Boston

Raw Dataset For 300 University Ai Choices, Amanda Potasznik

Data and Datasets

A log of 300 universities, randomly sampled from IPEDS data, and documentation of their adoption (or not) of Generative AI technology, coded by company.


Students' Perception Of Generative Ai-Assisted Collaborative Argumentation, Jinhee Kim, Seongryeong Yu, Rita Detrick, Liangjie Fan, Na Li 2026 Old Dominion University

Students' Perception Of Generative Ai-Assisted Collaborative Argumentation, Jinhee Kim, Seongryeong Yu, Rita Detrick, Liangjie Fan, Na Li

STEMPS Faculty Publications

The rapid scaling of generative artificial intelligence (GenAI) technology presents opportunities for personalised learning experiences and facilitates collaborative learning, including collaborative argumentation (CA). However, empirical research examining students' perceptions of GenAI-assisted CA within classroom contexts remains limited. This study explored university students' experiences with GenAI-assisted CA through in-depth interviews with 36 students following a CA activity using a ChatGPT4-embedded argumentation platform developed by the research team. Findings indicate that students viewed GenAI as serving multiple roles, including tool, facilitator, teaching assistant and machine buddy. Students perceived that GenAI-assisted CA could empower task performance and create a collaborative learning environment. Meanwhile, …


Hyflex Course Design: Outcomes, Challenges, And Supports For Students And Instructors, Tracey Barr, Tian Luo 2026 Old Dominion University

Hyflex Course Design: Outcomes, Challenges, And Supports For Students And Instructors, Tracey Barr, Tian Luo

STEMPS Faculty Publications

Since it was first developed in 2006, the hybrid flexible, or HyFlex, course model has been growing in prevalence in higher education. HyFlex courses are defined as those allowing students to decide whether to experience course material in person, online synchronously, or asynchronously on a weekly or daily basis without warning to, or permission from, the course’s instructor. Empirical research regarding this instructional approach is still relatively limited despite increased attention during and following the COVID-19 pandemic. Increasing interest in providing alternatives to fully in-person instruction has made it necessary to closely examine the existing body of research to determine …


Game-Based Learning For Asynchronous Ai Literacy Course: Approach To Improve Students' Cognitive, Behavioural, Affective, And Ethical Learning Of Ai, Jinhee Kim, Guang Yang, Wing Sha Chan, Xi Lin, Yukyeong Song 2026 Old Dominion University

Game-Based Learning For Asynchronous Ai Literacy Course: Approach To Improve Students' Cognitive, Behavioural, Affective, And Ethical Learning Of Ai, Jinhee Kim, Guang Yang, Wing Sha Chan, Xi Lin, Yukyeong Song

STEMPS Faculty Publications

Educators in higher education face persistent challenges in scaling AI literacy across disciplines and helping novice learners understand abstract AI concepts. Although research on game-based learning (GBL) reports mixed outcomes, few studies have examined its large-scale use in mandatory, asynchronous AI literacy courses for diverse undergraduate populations. Addressing this gap, this study investigates a scalable GBL-based AI literacy course delivered to 4898 first-year undergraduates across disciplines. Using a mixed-methods design with 311 valid pre- and post-survey responses and 20 interviews, the study evaluates students' cognitive, behavioural, affective, and ethical learning of AI. Quantitative results show significant improvements in overall AI …


Foreword, Pedagogical Innovations In Computer Science Education, Helen Crompton 2026 Old Dominion University

Foreword, Pedagogical Innovations In Computer Science Education, Helen Crompton

STEMPS Faculty Publications

[Introduction] Computer science education sits at a defining moment. Across schools and universities worldwide, computing is no longer a niche discipline reserved for a select few. It is a foundational literacy that shapes how learners understand the world, participate in society, and imagine their futures. At the same time, the rapid pace of technological change, particularly in artificial intelligence, data systems, and intelligent tools, has placed unprecedented pressure on educators to rethink not only what we teach, but why and how we teach it. This book arrives precisely when such reflection is most needed.


Generative Ai Professional Development Program For Higher Education Instructors, Sheena Bahra 2026 Anderson University - South Carolina

Generative Ai Professional Development Program For Higher Education Instructors, Sheena Bahra

Dissertations

As technology progresses and brings enhanced forms of artificial intelligence (AI), such as generative AI (Gen AI), it continues to affect education by introducing opportunities and challenges in its application to higher education teaching. Advances in technology can make instructors reluctant to use applications, leading to missed learning and skill-development opportunities for higher-order thinking skills. This study investigates how AI professional development (PD) training can influence higher education instructors’ willingness to use Gen AI in the classroom. This study employed a qualitative instrumental case study design informed by an exploratory lens. The study investigated instructors’ use of Gen AI in …


Learning Design To Advance Human-Ai Collaboration In K-12 Education, Wing Sha Chan, Jinhee Kim, Seongryeong Yu, Rita Kay Detrick 2026 Old Dominion University

Learning Design To Advance Human-Ai Collaboration In K-12 Education, Wing Sha Chan, Jinhee Kim, Seongryeong Yu, Rita Kay Detrick

STEMPS Faculty Publications

This chapter explores key components for designing effective Human-AI Collaboration (HAC) in K–12 education, addressing the current lack of theoretical and conceptual frameworks for structuring and implementing HAC in teaching and learning. It examines four essential areas: curriculum design, student and teacher–AI interaction, learning environments, and the evolution of HAC over time. The chapter introduces the concept of HAC in K–12 contexts, highlighting how humans and AI can leverage each other's strengths through co-evolutionary processes that foster mutual learning and collaboration. It reviews current HAC practices in schools and discusses their contributions to both teaching and learning. Finally, it presents …


Improving Early Detection And Response To Clinical Deterioration Among Nurses Through Competency-Based Interventions, Courtney E. Miller 2026 University of Texas at Arlington

Improving Early Detection And Response To Clinical Deterioration Among Nurses Through Competency-Based Interventions, Courtney E. Miller

Doctor of Nursing Practice (DNP) Scholarly Projects

Problem: Clinical deterioration among hospitalized patients remained a significant contributor to preventable morbidity and mortality, often due to delayed recognition and response in general care settings (Choi et al., 2025; Chung & Jung, 2024).

PICOTS: For registered nurses working on a general level of care inpatient hospital unit (P), how did a competency-based training program bundle incorporating didactic educational intervention of learning how to use technology, machine learning (ML) based early warning system (EWS) of trends and patterns to identify at risk patients, and low-fidelity simulation-based education (SBE) (clinical readiness to improve confidence with education and coaching) (I), …


The Impact Of Teachers’ Roles As Boundary Crossers And Boundary Objects In Post- Covid Composition Instruction, Tammie Marie Pierce 2026 Columbus State University

The Impact Of Teachers’ Roles As Boundary Crossers And Boundary Objects In Post- Covid Composition Instruction, Tammie Marie Pierce

Theses and Dissertations

This qualitative case study examined secondary English Language Arts (ELA) teachers’ perceptions of rapid technology integration and its influence on composition instruction and cognitive load in physical, digital, and hybrid spaces. Grounded in theories of boundary crossing and the Cognitive Theory of Multimedia Learning, the study conceptualized teachers as both boundary crossers, navigating instructional spaces, and boundary objects, serving as the support tools for their students’ transitions into digital composition. Data were collected from five ELA teachers in a rural school district through surveys, individual interviews, and questionnaires, and analyzed using a two-phase coding process. Findings indicate that teachers perceived …


Visual Aids And Numeracy In Healthcare: Leveraging The Drawing Effect, Zephyr J. Markley 2026 Arcadia University

Visual Aids And Numeracy In Healthcare: Leveraging The Drawing Effect, Zephyr J. Markley

Capstone Showcase

Healthcare decisions often require patients to interpret numerical risk information under stress, yet many struggle with low numeracy, which can distort comprehension and undermine informed consent. Well-designed visual aids can improve diagnostic inference, calibrate confidence, and support better choices, especially for patients with limited numeracy, but their impact depends on whether users can actually interpret the format accurately. Drawing may further enhance these tools by adding a tactile, generative layer that engages visual, semantic, and motoric processing while helping patients organize information into concrete models.

Passive visual aids appear useful but limited because they often position patients as observers rather …


Designing Ai Systems To Support A Productive-Failure-Based Learning: Insights From Adult Learners On Ai Applications And Ai System Design Principles, Jinhee Kim, Xi Lin, Seongryeong Yu, Rita Detrick 2026 Old Dominion University

Designing Ai Systems To Support A Productive-Failure-Based Learning: Insights From Adult Learners On Ai Applications And Ai System Design Principles, Jinhee Kim, Xi Lin, Seongryeong Yu, Rita Detrick

STEMPS Faculty Publications

Emerging capabilities of generative artificial intelligence (GenAI) offer significant potential to support productive failure (PF)-based learning, which engages adult learners (ALs) in exploring problems before instruction and learning from their initial attempts. However, the effective use of AI to support multifaceted areas of PF-based learning, including problem generation, exploration, consolidation, and knowledge assembly, is limited. Furthermore, AI design principles to support PF-based learning remain under-researched. This study, therefore, aims to investigate ALs’ perceptions of AI applications in enhancing PF-based learning and to explore the essential design principles of AI systems for PF-based learning. To achieve these aims, the study conducted …


Evaluating The Effects Of Autonomous Learning, Goal Orientation And Self-Efficacy On The Academic Performance Of Ethiopian Stem Students’ Through Structural Equation Modeling (Sem), Jerusalem Yizengaw, Asnake Tarekegn Nigussie 2026 Bahir Dar University, Ethiopia

Evaluating The Effects Of Autonomous Learning, Goal Orientation And Self-Efficacy On The Academic Performance Of Ethiopian Stem Students’ Through Structural Equation Modeling (Sem), Jerusalem Yizengaw, Asnake Tarekegn Nigussie

Journal of Educational Technology Development and Exchange (JETDE)

The study investigates the relationships among self-efficacy, goal orientation, and autonomous learning and how these factors affect Ethiopian STEM students’ academic performance. A descriptive survey design using mixed-methods research was used. Semi-structured interviews and questionnaires were employed to gather data from eight teachers and 151 STEM students. CFA and EFA attested to the validity and reliability of the questionnaires. Quantitative data were assessed using structural equation modeling (SEM), and qualitative data were analyzed using word descriptions. Self-efficacy was positively correlated with STEM students’ academic performance (β = .12, p < .01), whereas autonomous learning and goal orientation were negatively correlated (β = -.01, p < .01) and (β = -.04, p < .01), respectively. Findings suggest that techniques that help Ethiopian STEM students develop self-efficacy should be prioritized, with implications for curriculum design and instructional approaches. According to the findings, methods that support Ethiopian STEM students in developing self-efficacy should be prioritized, with consequences for instructional strategies and curriculum design. Although self-belief appears crucial for success, further research is required to fully understand the complex interaction of these factors in Ethiopia and other contexts.


Ai-Generated Content In Education: Moving Beyond Theory Toward Data-Driven And Actionable Insights, Huong Thi Pham, Nhung Thi Phuong Nguyen 2026 Vinh University, Vietnam

Ai-Generated Content In Education: Moving Beyond Theory Toward Data-Driven And Actionable Insights, Huong Thi Pham, Nhung Thi Phuong Nguyen

Journal of Educational Technology Development and Exchange (JETDE)

The emergence of AI-powered content such as text, images, and videos generated by large language models (LLMs) has rapidly transitioned from an experimental novelty to a structural force in higher education. Yet, previous reviews have remained largely conceptual or focused on the early stages of the AI wave. This study offers an updated, multi-faceted overview of AI-generated content in education based on data from 2022 to 2025. Following the PRISMA protocol, we systematically identified and reviewed 64 peer-reviewed studies to examine usage, transformation of teaching practices, impacts on learning outcomes, and challenges related to academic integrity, bias, trustworthiness, and teacher …


Vol 19 Issue List Of Reviewers, 2026 The University of Southern Mississippi

Vol 19 Issue List Of Reviewers

Journal of Educational Technology Development and Exchange (JETDE)

List of reviewers


Development Of The Digital Literacy Scale Based On A Socioformative Approach In University Students, Pedro Luis Arroyo-Pizarro, Renzo Esteban Martinez Laya, Elizabeth Deisy Herrera Bustillos, Esperanza Carmen Quiñones Aldazabal, Ernesto Elias Mamani Tipula, Alex Giovanny Arestigue Navarro, Christian Daniel Palomino Huananchin 2026 Universidad Nacional de Educación Enrique Guzmán y Valle, Lima, Perú.

Development Of The Digital Literacy Scale Based On A Socioformative Approach In University Students, Pedro Luis Arroyo-Pizarro, Renzo Esteban Martinez Laya, Elizabeth Deisy Herrera Bustillos, Esperanza Carmen Quiñones Aldazabal, Ernesto Elias Mamani Tipula, Alex Giovanny Arestigue Navarro, Christian Daniel Palomino Huananchin

Journal of Educational Technology Development and Exchange (JETDE)

Abstract: The objective of this study was to develop and validate a digital literacy scale grounded in the socioformative approach for university students. An instrumental, cross-sectional design was used with a sample of 174 students from Metropolitan Lima. Content validity was established through expert judgment, and construct validity was examined using exploratory factor analysis. The results supported a four-factor structure—Metacognitive-Adaptive ICT domain, Critical digital information management, Multimedia communicative production, and Digital socio-ethical practice—that explained 61% of the variance. Reliability indices were acceptable across dimensions (α=.716–.810; ω=.728–.817). The findings indicate that the scale (EADigit) is a valid and reliable tool for …


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