Educational Technology Commons^™

The Role Of Technology In Education: Friend Or Fiend?, Michaela A. Morgan

West Chester University Graduate Theses, Dissertations, and Final Projects

In this paper we will be examining the role of educational technology in the United States through a critical lens with the purpose of arguing that the growing dependence on EdTech, standardized testing, and data-driven instruction has contributed to the privatization, dehumanization, and inequity of public education. Drawing from critical pedagogy, sociocultural theory, and educational research both recent and decades prior. In my paper I explore how technology in schools often functions less as a liberatory tool and more as a mechanism of surveillance, commodification, and control. We consider the historical roots of educational inequality, including eugenics, meritocracy, and colonial …

Educators’ Perceptions Of Artificial Intelligence Enabled Wearable Technology To Support The Social, Emotional, And Behavioral Functioning Of Neurodiverse Students, Jessica Taraborrelli

West Chester University Graduate Theses, Dissertations, and Final Projects

The integration of technology in education has largely focused on academic outcomes, with limited attention to students’ social, emotional, and behavioral needs, particularly for neurodiverse students. Artificial Intelligence enabled wearable technologies present promising opportunities to address this gap by providing real time data and interventions. The purpose of this quantitative study was to examine educators’ perceptions of AI-enabled wearable technology and its potential to support the social, emotional, and behavioral functioning of neurodiverse students. Grounded in the Technology Acceptance Model (TAM3) and the Collaborative for Academic, Social, and Emotional Learning (CASEL) frameworks, this study explored how perceived usefulness and its …

The Devil Is In The Det[Ai]Ls: Ai Agents, Ghost Students, And The Crisis Of Verified Presence In An Agentic Ai World, Aras Bozkurt, Helen Crompton, Caroline Fell Kurban

STEMPS Faculty Publications

The transition from reactive Generative Artificial Intelligence (GenAI) to agentic AI systems marks a categorical shift in digital education, moving beyond simple content generation to goal-oriented, autonomous execution. This paper explores the emergence of the “ghost student”: a digital surrogate created by the coupling of Large Language Models (the “mind”) and agentic AI browsers (the “body”). These entities are capable of navigating Learning Management Systems (LMS), engaging with content, and completing assessments with human-like mimicry, often rendering the actual learner’s presence optional. We argue that this phenomenon creates a verification gap that traditional proctoring and detection tools are structurally unable …

Instructional Designers' Reflections On Generative Ai Use For Scenario-Based And Performance-Centered Learning: A Collective Autoethnography, Nour El Houda Maache, Dan V. Dao, Jiyoon Jung, Jayanth Nadheri, Nari Kim, Chikezie Ozuzu, Xinyue Ren

STEMPS Faculty Publications

This study examines how instructional designer-instructors (IDIs) use and evaluate generative artificial intelligence (GenAI) when designing scenario-based and performance-centered authentic learning in higher education. Using a collective autoethnography (CAE) approach, the study draws on semi-structured interviews and reflective narratives from five IDIs with varied professional experience. Findings indicate that GenAI enhanced design capacity by accelerating scenario development, translating complex content, and supporting scenario-based and performance-based task construction. At the same time, participants reported limitations related to contextual misalignment, output unreliability, and the cognitive demands of prompt refinement. Across cases, effective integration depended on sustained human oversight, disciplinary judgment, and ethical …

Chatgpt In Secondary English Language Learning: Educators' And Students' Literacy, Perceptions, And Experiences, Victoria Brenes, Sierra Outerbridge, Xinyue Ren

STEMPS Faculty Publications

The increasing use of generative artificial intelligence (GenAI) has shown the potential of transforming teaching and learning practices in various educational settings, such as in English language learning (ELL). As English language learners (ELLs) often experience many challenges and barriers in schools in the United States, it is urgent to leverage the educational affordances of GenAI in fostering the effectiveness of ELL. Given the limited research investigating GenAI adoption, especially ChatGPT literacy within K-12 ELL, this convergent mixed methods research aims to investigate students' and teachers’ perceptions of using ChatGPT and their ChatGPT literacy in secondary ELL contexts. We will …

Effects Of Student And School Technology Adoption On Student Reading Achievement In The United States: The Case Of Pisa 2018, Mikah J. Hughes

Theses and Dissertations--Educational, School, and Counseling Psychology

This study examined the relationship between student and school-level information and communication technology (ICT) factors and reading achievement using data from the Programme for International Student Assessment (PISA) 2018 in the United States. In an increasingly digital world, reading and information literacy are essential skills, yet significant gaps in digital competencies persist. This study investigated how ICT access, use, and perceptions relate to reading achievement in the context of student and school background factors.

A two-level hierarchical linear modeling (HLM) framework was employed to account for the nested structure of students within schools. The sample included approximately 4,000 students across …

A Methodological Framework For Modernizing Engineering Course Content With Large Language Models, Katherine Smith, Dalya Ismael, Otilia Popescu, Murat Kuzlu, Adel El-Shahat, Vukica M. Jovanovic

Engineering Technology Faculty Publications

The rapid evolution of technology presents challenges for engineering educators. While the core engineering methods often remain relevant over time, course materials rapidly become outdated in presentation and pedagogical approach. This paper presents a methodological framework for using large-language models (LLMs) to modernize engineering course content with a case study in an advanced technical analysis course.

The methodology follows a phased approach that is designed to be repeatable and verify the accuracy and completeness of course content. During the first phase, an LLM is used to map outdated text-heavy content to a modern format using a LaTeX template. The second …

Ai Policy In Virginia Public Schools: A Comparative Analysis, Jesse Senechal, Jamelle Simmons, Jonathan D. Becker, Melissa Ware, Michael Broda, Kindy Anderson, Eric Byers, Kiana Bradford, Thea Racelis, Meleah Ellison

MERC Publications

This MERC research and policy review explores policy implications of artificial intelligence (AI) in Virginia public schools. It is part of a two part series with a companion report focused on AI implications for PK-12 teaching and learning. The report has two parts:

1. A review of the AI policy landscape around PK-12 education
2. Virginia AI policy analysis

It concludes with a series of key takeaways and recommendations for PK-12 policy and practice.

Ai In Pk-12 Education: Implications For Teaching And Learning, David Naff, Meleah Ellison, Casey Bailey, Tzu-Wei Wang, Kiana Bradford

MERC Publications

This research and policy review from the Metropolitan Educational Research Consortium (MERC) explores the implications of artificial intelligence (AI) for teaching and learning in public PK-12 education. It is part of a two part series with a companion report focused on AI implications for PK-12 policy. The report explores two questions:

1. How is AI shaping teaching and instructional practice?
2. How is AI shaping student learning and development?

It concludes with a series of key takeaways and recommendations for PK-12 policy and practice.

K–12 Teacher Intention To Use A Makerspace: An Analysis Using The Unified Theory Of Acceptance And Use Of Technology, Kevin W. Rutter

Graduate Research Theses & Dissertations

This study examines the factors that relate to K–12 teachers' intention to use a makerspace for classroom instruction. It uses the unified theory of acceptance and use of technology (UTAUT) as its theoretical framework. The research addresses gaps in the United States' achievement in STEM subjects and explores makerspaces as a potential instructional innovation that encourages student-centered, interdisciplinary, project-based learning. A quantitative, correlational case study design was employed to survey 120 staff members at a large urban high school in the Midwest with a dedicated makerspace. Survey items were adapted from the UTAUT model to assess three predictor variables: performance …

The Impacts Of Technology-Based Student-Centered Learning On Students’ Perception Of Foreign Language Vocabulary Learning (French, Spanish, And Chinese), Gideon Yeboah

All Graduate Theses, Dissertations, and Other Capstone Projects

This study investigates the perceptions of 21 university students enrolled in first- and second-year foreign language courses - French 102 & 202, Spanish 102 & 202, and Chinese 102 & 202 - regarding the effectiveness of technology-based learning tools in vocabulary acquisition compared to traditional methods. Data were collected through an online survey questionnaire voluntarily completed by participants across three courses taught by four instructors. Findings indicate a generally positive view of digital tools such as flashcards, language apps, and online platforms, valued for enabling self-paced learning, interactive engagement, immediate feedback, and increased motivation, which enhanced vocabulary retention. Traditional methods …

Integrating Web-Gis And Inquiry Learning To Enhance Spatial Thinking In Geography Learning, Nyokro Mukti Wijaya, Meri Herlina, Sugeng Widodo, Suhendro Suhendro

Journal of Educational Technology Development and Exchange (JETDE)

This study investigates the impact of integrating Web-GIS with Inquiry Learning on secondary school students’ spatial thinking skills. A 2×2 factorial experimental design was employed with 116 eleventh-grade students from SMA Negeri 13 Bandar Lampung, divided into four treatment groups: direct instruction with printed maps, direct instruction with Web-GIS, inquiry learning with printed maps, and inquiry learning with Web-GIS. The Spatial Thinking Ability Test (STAT), a widely validated international instrument, was used to measure outcomes. Data were analysed using two-way ANOVA. The findings indicate that the learning media had a significant effect, with Web-GIS outperforming printed maps, whereas learning strategies …

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, …

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 …

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 …

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 …

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. …

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 …

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.

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. …