Digital Commons Network^™

Evaluating The Effect Of Glucagon-Like Peptide-1 Receptor Agonists On Health Outcomes, Charlie Musslewhite

IdeaFest 2026

Evaluation the efficacy of GLP-1s on health outcomes, whether or not they actually produce a net positive for overall health.

Potawat Community Food Garden, Lulu Voss

IdeaFest 2026

I partnered with Potawat Community Food Garden to advocate for native food sovereignty. I contribute to bountiful harvests by weeding, pruning, planting, and tending to crops in the garden. This matters because I help foster a safe and peaceful garden haven that builds a healthy community and supports hundreds of people struggling with food insecurity. Through this experience, I learned how to eat to promote the health of my body and mind and helped spread this knowledge to the community.

Natural Resources Club: Building Community Through Service, Penny Dellapelle

IdeaFest 2026

Through College Corps, I was supported in my work as president of the Cal Poly Humboldt Natural Resources Club, where we “Restore Ecosystems, One Saturday at a Time.” We volunteer at local environmental stewardship events every week, doing a wide range of tasks, including invasive species removal, trash pickup, and native plantings. In the 2025-26 academic year, nearly 200 students have participated in our volunteer days, contributing over 1,800 volunteer hours to local projects and forging connections between students and the larger community. Under my leadership, we’ve also created more professional development and community-building opportunities for members, with great success.

To Use Or Not To Use Artificial Intelligence (Ai) In Art Design? A Multigroup Utaut2 Model Based On Motivation And Engagement Profiles, Yihan Jiang, Ning Luo, Ruixiang Gao

Journal of Educational Technology Development and Exchange (JETDE)

This research investigated the acceptance of the artificial intelligence (AI) art tool, Midjourney, among 970 Chinese artists and designers using the Extended Unified Theory of Acceptance and Use of Technology (UTAUT2) model and incorporating person-centered work motivation and engagement profiles. Path analysis of the entire sample showed strong explanatory power, accounting for over 60% of the variance in usage intention and behavior. Latent profile analysis of intrinsic and extrinsic motivations and engagement revealed two subgroups: the majority “Interested and Engaged”, and the minority “Disinterested and Disengaged”. As evidenced by multigroup comparison, the former exhibited significantly greater acceptance, recognizing Midjourney’s value …

Virtual Reality And Creativity In Visual Art Education: The Mediating Role Of Exploration Within A Project-Based Learning Framework, Lidan He, Shaharuddin Bin Md Salleh

Journal of Educational Technology Development and Exchange (JETDE)

Virtual reality (VR) is increasingly integrated into creative education for immersive, interactive learning. While prior research confirms VR’s potential to enhance learning outcomes, its support for creativity remains underexplored. This study examines whether exploration mediates the relationship between VR use and creative performance within a project-based learning framework. A quasi-experimental study was conducted with 80 second-year visual art students, who were allocated by intact sections to either a VR–PBL group or a traditional PBL group. Over four weeks, students completed an illustration-based design project. Creative performance was rated by experts, and exploratory behavior was measured using the Experiential Learning Survey, …

Evaluating Artificial Intelligence Language Tools In English Language Learning For Flight Attendant Learners, Qianying Pu, Amelia Binti Alias, Khairul Azhar Bin Jamaludin

Journal of Educational Technology Development and Exchange (JETDE)

This study analyzes AI language tools aiding English learning for aspiring flight attendants, focusing on fluency, pronunciation, and communication skills. Considering the aviation industry’s very high language requirements, this research examines how AI language tools help flight attendants master English and improve their speech and pronunciation.  A qualitative descriptive design using semi-structured interviews was adopted for the present study with flight attendants and aviation English educators. The study highlights major themes such as Increased Confidence through Repetition and Feedback, Pronunciation Improvement Enabled by an AI-specific feature, Pedagogical Gaps and Instructor Apathy, and Limitations in Contextual Appropriateness. This study concludes that …

Vol 19 Issue 1 Table Of Contents

Journal of Educational Technology Development and Exchange (JETDE)

Table of Contents

Developing A Serious Game-Based Platform To Support Programming Learning, Noven Indra Prasetya, Nia Saurina, Arief Ardiansyah

Journal of Educational Technology Development and Exchange (JETDE)

Programming learning, especially among informatics students, faces significant challenges related to understanding concepts and syntax, as well as low engagement in programming courses. To address these issues, this research developed DolananCoding, a serious game-based learning platform specifically designed for C++ programming learning. The platform integrates a live coding feature, enabling students to write code directly, along with a leaderboard to motivate them through healthy competition. The immersive concept in DolananCoding is designed to provide an interactive and enjoyable learning experience, aiming to enhance students’ engagement, motivation, and learning outcomes in C++ programming. This research aims to test the effectiveness of …

Machine Learning For Predicting Students’ Academic Performance In Selected Educational Technology Courses In Nigerian Universities, Mohammed Jibril

Journal of Educational Technology Development and Exchange (JETDE)

Machine learning (ML) has emerged as a powerful tool in education that enhances data-driven decision-making and supports timely interventions. However, its application in Nigerian higher education remains underexplored, particularly where sociocultural and institutional factors may influence predictive accuracy. This study employs the CRISP-DM framework to address this gap by applying ML to predict student performance in core educational technology courses. The models were trained on a dataset of 19,961 instances collected from three Nigerian universities from 2010 to 2024. A percentage split of 80% for training and 20% for testing was adopted. Thirteen machine learning algorithms were applied to predict …

Determinants Of Generative Ai Adoption In Teacher Education: A Ttf–Tpb Model Tested With Pls-Sem, Peter A. Partey Dr., Emmanuel Quayson, Samuel K. Adjei, Joseph Antwi

Journal of Educational Technology Development and Exchange (JETDE)

Abstract

The integration of generative AI in education necessitates a clear understanding of the factors influencing its adoption by preservice teachers. This study examined the predictors of generative AI use and its impact on the academic performance of preservice teachers in Ghana, employing a quantitative cross-sectional survey design. Data were collected from 783 preservice teachers using structured questionnaires measuring task characteristics (TskC), technology characteristics (TechC), task–technology fit (TTF), attitude (ATT), subjective norms (SJN), perceived behavioural control (PBC), use of generative AI (USE), and academic performance (AP). The partial least squares structural equation modelling (PLS-SEM) analysis revealed that TskC and TechC …

Large Language Model-Based Automated Item Generation In Stem Assessments: Historical Mapping And A Scoping Review Of Empirical Studies, Moses Oluoke Omopekunola

Journal of Educational Technology Development and Exchange (JETDE)

Educational assessments, from low-stakes classroom tests to high-stakes national examinations, require item pools that are valid, fair, and secure. Automated Item Generation (AIG) aims to efficiently produce large pools of calibrated test items. This paper adopts a two-part design: (1) a brief historical mapping situating LLM-based AIG within the broader AIG trajectory; and (2) a scoping review of empirical studies on LLM-based AIG for STEM assessments, published between January 2022 and January 2026. A structured search of ERIC, Lens and OpenAlex yielded 1,267 records; after deduplication and screening, 7 studies were retained for synthesis. In all studies, LLMs were primarily …

Enhancing Academic Literacy Through Ai-Supported Writing Analytics In Multilingual Higher Education, Riki Nasrullah, Septia Rizqi Nur Abni

Journal of Educational Technology Development and Exchange (JETDE)

This study examines the longitudinal impact of AI-supported writing analytics on academic literacy in multilingual higher education. Using a quasi-experimental design over two semesters with 124 undergraduates, the treatment group employed a GPT-based analytics tool, while the control group relied on conventional feedback. Using a longitudinal quasi-experimental design and repeated-measures analyses, the study found significant group effects and significant Group × Time interactions, indicating that the treatment group achieved larger and more sustained gains in academic literacy. Process-oriented indicators and learning analytics further showed a shift from surface editing to global revision, accompanied by deeper metacognitive engagement.

Teacher-Guided Video Instruction For Dance Appreciation: A Design-Based Research Study, Cuiqing Meng, Tiantian Zhou

Journal of Educational Technology Development and Exchange (JETDE)

Video is widely used in dance appreciation courses; however, unguided viewing often leads to passive observation rather than analytical understanding. Grounded in multimedia learning theory and instructional scaffolding, this study employed a Design-Based Research (DBR) approach to develop and evaluate a teacher-guided video instructional model in a dance appreciation course in a Chinese university. The DBR process involved iterative phases of design, implementation, analysis, and refinement within an authentic classroom context. A convenience sample of 23 undergraduate dance majors participated in the study. Data were collected through a structured questionnaire consisting of Likert-scale items and open-ended responses. Quantitative data were …

A Hierarchical And Multidimensional Approach To Profiling Students’ Digital Skills In Educational Technology, Emil S. Frashëri, Eleni F. Vangjeli

Journal of Educational Technology Development and Exchange (JETDE)

This study investigates university students’ digital competence through a multidimensional and person‑centered analytical framework grounded in bifactor–Exploratory Structural Equation Modeling (B‑ESEM). Digital competence was conceptualized across four functional skill domains and a general competence factor, reflecting contemporary perspectives on technology‑enhanced learning and student readiness. To overcome a common limitation in traditional Latent Profile Analysis (LPA), the conflation of overall competence levels with relative skill configurations, this study employed B‑ESEM–derived factor scores to preserve both hierarchical structure and multidimensionality. Using data from 599 university students, a four‑profile solution emerged, capturing distinct patterns of digital skill strengths and weaknesses. Gender and programming …

Ethical Dilemmas Of Generative Ai In Education And Their Implications For Sdg 4: A Systematic Review From A Global And Inclusive Perspective, Eva García-Beltrán

Journal of Educational Technology Development and Exchange (JETDE)

This systematic review, conducted in accordance with PRISMA 2020 guidelines, examines the ethical dilemmas associated with the use of Generative Artificial Intelligence (GAI) in education and analyses their implications for the achievement of Sustainable Development Goal 4 (SDG 4), with a focus on inclusive and equitable quality education. The review draws on 24 peer-reviewed studies published between December 2022 and December 2024, covering diverse educational levels and geographical contexts, with a predominance of Global North perspectives and limited representation from the Global South. The analysis reveals four primary themes: academic integrity, algorithmic equity, data privacy, and the potential contribution of …

Digital Transformation And Artificial Intelligence In Education In Vietnam: A Bibliometric And Systematic Review, Minh-Anh Thi Nguyen, Van-Quynh Ha

Journal of Educational Technology Development and Exchange (JETDE)

Globally, digital transformation (DT) is reshaping education through data-driven innovation, artificial intelligence (AI), and emerging learning technologies. These transformative forces are influencing not only instructional methods but also governance, equity, and sustainability in education. Within this context, the study provides a comprehensive review of DT and AI in Vietnam’s education sector. Combining bibliometric mapping with a systematic content analysis, it synthesizes recent scholarly developments to reveal key research trends, methodological orientations, and conceptual structures. Five thematic clusters are identified, including digital competence, institutional transformation strategies, AI literacy, and learner engagement, potentially reflecting a shift from institutional readiness toward learner-centered innovation. …

Exploring Teachers’ Perceptions Towards Using Ict With Dialogic Teaching In The Primary Science Classroom In Saudi Arabia, Yousef Alharbi, Sue Johnston-Wilder

Journal of Educational Technology Development and Exchange (JETDE)

This study examines the implications of teachers’ perceptions of using ICT to support dialogic teaching in primary science classrooms in Saudi Arabia. It employed questionnaires distributed electronically to science teachers working in state primary schools in Riyadh, and 305 completed responses were analyzed using SPSS. The majority were found to implement a variety of activities to support dialogue and to use several ICT tools in their science lessons. In addition, most teachers reported positive attitudes toward ICT, dialogic teaching, and ICT-supported dialogic teaching in science lessons. However, the results indicated that some teachers currently adopt a dominant role in dialogue …

Application Of Artificial Intelligence In Case-Based Teaching: A Qualitative Study In Mba Education, Tianjiao Xu, Mohd Nazir Bin Zabit

Journal of Educational Technology Development and Exchange (JETDE)

This study examines the incorporation of artificial intelligence (AI) into case-based teaching (CBT) within Master of Business Administration (MBA) programs in China, amidst the rapid digital transition in higher education. Guided by the Context–Input–Process–Product (CIPP) evaluation framework, the study adopted a qualitative design and conducted semi-structured interviews with five instructors from three core MBA courses. The findings indicate that AI enhanced classroom interaction and reduced teachers’ workload by supporting real-time feedback and dynamic discussion processes. Institutional support, including teacher training, digital infrastructure, and technical assistance, was recognized as a vital facilitator of effective implementation. Despite its various benefits, the study …

The Digital Divide Among Urban University Students, J.B. Oleet, Chien Yu

Journal of Educational Technology Development and Exchange (JETDE)

The purpose of this study was to examine urban university students’ post-pandemic experiences with the digital divide, focusing on Motivational, Physical, Skills, and Usage Access to information and communication technologies (ICTs) based on van Dijk’s resources and appropriation theory. The study revealed students’ positive perceptions of their digital divide experiences. Intrinsic Motivational Access (IMA) scored particularly high, indicating a strong internal drive to engage with ICTs, while Physical Access (PA) showed discrepancies in access to specialized tools like programming software. Students displayed high competency in Operational, Informational, and Strategic Skills Access, with significant correlations between Physical and Operational Skills Access. …

Artificial Intelligence In Higher Education: How Educators’ Perception, Readiness, And Well-Being Shape Performance, Fatimah Pohan, Dicky Aprillo Siregar, Muhammad Bangun Siregar

Journal of Educational Technology Development and Exchange (JETDE)

Artificial Intelligence (AI) is transforming higher education, but its effectiveness depends on how educators perceive, adopt, and psychologically respond to the technology. This study examines the effects of educators’ perception of AI and AI adoption on self-reported educators’ performance through AI readiness and psychological well-being. Grounded in the Technology Acceptance Model, Readiness for Change Theory, and the Job Demands–Resources framework, the study employed a quantitative cross-sectional survey design. Data were collected from 121 educators at private higher education institutions in North Sumatra, Indonesia, using purposive sampling of active educators. The data were analyzed using Partial Least Squares Structural Equation Modeling. …

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 …

The Ideological Work Of Penal Reform: How Reformers Justify Penal-Welfare Hybridization, John Halushka, Brandon Miller

Faculty Research, Scholarly, and Creative Activity

This article uses the Santa Clara County Reentry Resource Center (RRC) as a case study to explore the cultural content of penal reform. Specifically, we explore the discourses that officials use to publicly justify projects of penal-welfare hybridization, or the linking of state systems of punishment and welfare to manage criminalized populations. Our qualitative analysis draws on a dataset consisting of county planning documents, budgets, videos, press releases, and newsletters published online between 2011 and 2023. By examining these materials over time, we are able to chart patterns of consistency and variation in how officials justify hybridization. We find that …

Virtual Nature-Exposure And Slow Breathing Interactive Effect On Stress, Mari Sanchez, J.P. Benefiel, J. Linder, S. Rawitch, Z. Poer, P. Spoor

IdeaFest 2026

Excess stress negatively impacts health and well-being. The current study examined two accessible research-based methods of stress reduction: virtual nature exposure and slow breathing. Participants completed a stressful task and were then exposed to either a scene of nature or a grey control screen while breathing slowly or regularly (control). Physiological measures of stress were compared across groups. Results reaffirm slow breathing as beneficial for stress reduction. Virtual nature exposure did not impact stress levels independently and did not interact or add to the stress reducing impacts of slow breathing.

Analysis Of Policies And Incentives For The Successful Implementation Of Hydrogen-Fueled Medium-Duty And Heavy-Duty Vehicles In Humboldt County, California, Alka Verma

Cal Poly Humboldt theses and projects

The 21st century has seen a significant rise in global greenhouse gas (GHG) emissions, with the transportation sector contributing 23% of these emissions. Medium-duty and heavy-duty vehicles (MD/HD) are particularly impactful, accounting for over a quarter of transport-related emissions. In Humboldt County, California, transportation represents 53% of total emissions, with MD/HD vehicles being a major contributor. As light-duty vehicles shift to zero-emission alternatives, the MD/HD sector faces unique challenges. Hydrogen fuel cell vehicles offer a promising solution, providing longer range, higher energy density, and quicker refueling compared to battery electric vehicles (BEVs). These features make hydrogen an attractive option for …

Postfire Habitat Use And Density Of Pacific Martens (Martes Caurina) In Lassen National Forest, California, Deirdre L. Replinger

Cal Poly Humboldt theses and projects

Increasing frequency, size, and severity of wildfires in western North America threatens forest-dependent wildlife species. The Pacific marten (Martes caurina) has historically been associated with mature, structurally complex forest throughout most of its range. Recently, martens have been detected in forests burned at high severity by the 2021 Dixie Fire—the largest recorded single fire in California state history. I used non-invasive remote camera traps and hair snares (n = 166 sites) to assess marten habitat use and density using spatial occupancy and spatial capture-recapture models. I detected martens across the burn severity gradient (unburned to high-severity) at …

Effects Of Coaching Interventions On Burnout And Mental Health Outcomes Among Collegiate Athletes: A Meta-Analysis, Natalie Mitchell

Cal Poly Humboldt theses and projects

This meta-analysis examined the effects of coaching interventions on burnout and mental health outcomes among collegiate athletes. Following PRISMA guidelines, literature published from 1980 onward was searched across SPORTDiscus, PsycINFO, PsycARTICLES, PubMed/MEDLINE, Web of Science, and ProQuest Theses & Dissertations. Studies were included if they assessed burnout, psychological well-being, or related mental health outcomes in collegiate athletes and investigated a coaching intervention. Twelve interventional studies met the inclusion criteria. Across studies, coaching interventions varied in structure, duration, sport context, and cultural setting, with most emphasizing intrapersonal strategies and emotional or mental health outcomes. Meta-analytic results indicated small, non-significant effects favoring …

Assessing Coho Salmon (Oncorhynchus Kisutch) Distribution Using Traditional Sampling Methods In Conjunction With Edna On Trinity River Tributaries Within The Hoopa Tribal Boundaries, Ely D. Boone

Cal Poly Humboldt theses and projects

Detecting the presence of species using environmental DNA (eDNA) is a fast-growing field of study that shows much promise for population monitoring. In fisheries biology, eDNA is a potentially powerful tool compared to traditional fisheries monitoring techniques such as visual observation via snorkel surveys. When eDNA and traditional survey methods are employed in tandem, using the same spatial and temporal sampling design, eDNA often detects target species when traditional methods do not. In this study, instead of utilizing this paired study design, I implemented eDNA and snorkel surveys at different sampling scales with eDNA being collected at a single downstream …

Queering Poetry Workshops, Dobby Morse

Cal Poly Humboldt theses and projects

To what extent do participants report that a poetry workshop builds connections between poets and strengthen their confidence in writing? What do participants want or expect from a poetry workshop?

Through this project I hope to attend and host poetry workshops with an emphasis on the queer community. I will collaborate with campus and community organizations like Queer Humboldt and other organizations that are interested in exploring queer experiences through writing, connection, and meditation. This project will serve as a how-to guide for those seeking to conduct their own workshops.

Multiple Burn And Forest Characteristics Affect Gray Fox (Urocyon Cinereoargenteus) Occurrence Following A California Megafire, Amida Zohar Verhey

Cal Poly Humboldt theses and projects

In western North American forests, predator communities are faced with changing fire regimes and increased fire severity and size, particularly with megafires (>10,000 ha). As some wildlife communities may restructure following the loss of apex consumers, understanding post-fire space use of mid-trophic carnivores may inform species composition in these forests. I compared gray fox (Urocyon cinereoargenteus) occupancy in and around the 2021 Dixie Fire, the largest single-ignition fire in California state history, to examine which spatially variable burn and forest characteristics affected the space use of a widespread generalist mesopredator. Using 210 camera traps placed in 2023, …

Three Christmas Island Land Crabs Do Not Alter Extracellular Magnesium In Response To Acute Reduced Temperature, Katie N.G. Thiessen, Helena C. Reinardy, John I. Spicer, Lucy M. Turner

School of Biological and Marine Sciences

Magnesium is essential to numerous biological processes in many species. Including protecting intracellular pH and ATP concentrations during temperature and anoxia stress. Extracellular [Mg²⁺] is tightly regulated in many, but not all crustaceans. There is evidence that extracellular [Mg²⁺] content may be open to environmental influence such as temperature. The alteration of extracellular [Mg²⁺] in decapod crustaceans in response to temperature has been proposed, with individuals exposed to low temperature often displaying an increase in extracellular [Mg²⁺]. However, data, supporting or refuting this hypothesis, are sparse and drawn mainly from temperate and …