Education Commons^™

Pre-Service Elementary Teachers' Science Content Knowledge And Confidence: Teaching Science Methods With Metacognitive Awareness Activities, Demetrice Smith-Mutegi, Erika Wise

Teaching & Learning Faculty Publications

Few elementary teachers are confident in teaching science or in their science knowledge. This study sought to address this concern by investigating the impact of a science methods course on confidence and science knowledge for pre-service elementary teachers (PSETs). In this study, 23 participants enrolled in a teacher education program at a Midwest US university participated in a quasi-experimental pretest-posttest design. The participants engaged in course content, including metacognitive awareness activities, for a full semester and qualitatively described their confidence within the pre-post assessment survey. Results were analyzed using an independent samples t-test, mean content assessment scores, and paired samples …

Girls Stem Institute: Impacting Black Girls' Self-Efficacy And Interest In Stem Careers, Crystal Morton, Demetrice Smith-Mutegi, Danka Maric, Vidushi Adlakha, Robin Jackson

Teaching & Learning Faculty Publications

Nationally and globally, STEM serves as a gatekeeper to the labor market and higher education opportunities. Many Black girls find themselves locked out of the gate. Historically and contemporarily, Black girls are seldom viewed as capable or worthy of educational investment and face unique and ongoing challenges in K-12 STEM learning spaces due to their gender and racial identities. Research suggests that informal STEM learning spaces can serve as a counter to Black girls’ experiences in K-12 schools and help enhance Black girls’ self-efficacy and STEM career interests. This study explores the impact of a four-week informal STEM program, employing …

Pre-Service Teachers' Perceptions Of Literacy In Stem Classroom Instruction By Implementation Of Project-Based Lessons, Sarah Ferguson, Maryam Enderson, Jamie Colwell

Teaching & Learning Faculty Publications

This study examines how project-based learning (PBL) supports pre-service STEM teachers (PSTs) in understanding and applying disciplinary literacy in classroom instruction. Conducted in a semester-long PBL course at a mid-sized public university, the research explores PSTs’ shifting perceptions of literacy in STEM and the challenges and successes they experience. Using qualitative methods grounded in student voice and case study frameworks, data were collected through focus groups, reflections, and lesson plan analyses. Findings show PSTs initially held narrow views of literacy but developed more nuanced understandings through PBL. Key successes included increased confidence and use of inquiry-based strategies; challenges involved time …

Nation, Nature And Childhood In Five Curricula: Towards Earthly Education, Zsuzsa Millei, Katarzyna Gawlicz, Lucy Hopkins, Camilla Eline Andersen, Danielle Ekman Ladru

Research outputs 2022 to 2026

This article explores the relations between nation, nature and childhood in five early childhood education curricula in the Nordic, post-socialist and settler-colonial states with the focus on the role education plays in the face of the climate crisis. The authors identify three interconnecting themes in which nation, nature and childhood are entangled in these curricula: 1) national nature as an object of learning; 2) nature and home/birth land and Country; and 3) stewardship for national nature. Exploring these themes from the perspective of alternative pedagogies developed to address the child–nature relations during the Anthropocene, the authors argue that these notions …

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. …

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

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 …

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 …

Noongar Culture, Arts Learning, And Wellbeing Literacy In Early Childhood: A Case Study Of The Song Room’S Deadly Arts Early Years Program In Western Australia Government Primary Schools, Jason Goopy, Narelle Lemon, Megan Mcpherson, Libby Jackson-Barrett, Jacqueline West

Research outputs 2022 to 2026

This report presents findings from a case study examining how The Song Room's Deadly Arts Early Years program supports wellbeing literacy in early childhood education through engagement with Noongar culture, arts, and storytelling at Western Australia government primary schools. Conducted on Whadjuk Noongar Boodjar at Huntingdale Primary School and Orelia Primary School, the research was co-designed with Indigenous and non-Indigenous teaching artists, school communities, and The Song Room.

The study adopted wellbeing literacy — the capability to understand and intentionally use language about and for wellbeing across contexts — as its theoretical framework. Creative arts-based methods, including draw and tell …

Students’ Perspectives On Authentic Assessment: An Experiential Learning Framework For Work-Readiness And Employability, Claire Lambert, Madeleine Ogilvie, Stephanie Meek

Research outputs 2022 to 2026

Background: Universities are increasingly pressured to enhance graduate employability by embedding career readiness into curricula. Authentic, industry-based assessments offer a means to link theory with practice, yet little is known about their impact from the student perspective. Purpose: This study explored how an industry-based authentic assessment supports students’ transition to work through the lens of Experiential Learning Theory (ELT). Method: Using a qualitative design, guided-introspection questionnaires were completed by 20 marketing graduates 2 years after completing an industry-based social marketing project. Directed content analysis identified themes aligned with ELT stages and mechanisms of confidence, networks, and professional enculturation. Findings: Authentic …

Needs-Based Funding: From Principle To Practice In Student Equity, Kylie Austin, Fiona Navin, Dan Mcaullay

Research outputs 2022 to 2026

No abstract provided.

The Development And Initial Validation Of A Measure Of Professional Mentoring Engagement Among School Counselors, Emily Kitching

Theses and Dissertations

This study describes the development and initial validation of the Mentoring Engagement Scale (MES), a self-report instrument designed to measure a person’s level of engagement in professional mentoring. Despite emerging evidence that professional mentoring may serve as a protective factor against the burnout and stress associated with school counselors’ roles and responsibilities, existing measures of mentoring are limited by weak documentation of development procedures, mixed psychometric support, and limited practical applicability. In two phases, the present study aimed to (1) evaluate content validity and systematically refine items grounded in Kahn’s (1990) theory of engagement and (2) investigate the preliminary psychometric …

Foreign-National Families, Education, And Parenting: Unpacking The Influence Of Cultural Transitions On Child-Rearing And Expectations, Yuqi Zhang

Theses and Dissertations

This qualitative study examines how highly skilled foreign-national parents navigate parenting and educational decision-making within the context of cultural transition in the United States. While existing research on foreign-national parenting has largely focused on socioeconomically disadvantaged populations, less is known about families who possess substantial educational and professional capital. Despite these advantages, these parents encounter unique challenges related to institutional navigation, identity negotiation, and social constraints. Guided by Bronfenbrenner’s bioecological theory, Coleman’s social capital theory, Berry’s acculturation framework, and Yosso’s community cultural wealth model, this study explores how cultural background and migration experiences shape highly skilled foreign-national families’ parenting beliefs …

Your Left Or Mine: A Journey To Accessibility For Learning Disabilities And Neurodivergence In Stage Combat Pedagogy, Ambria Campbell

Theses and Dissertations

This thesis examines stage combat pedagogy from its inception to the present day through the lens of accessibility for learning disabilities and neurodivergence. Relevant research in education as it relates to disability is analyzed and applied to the field of stage combat pedagogy. What follows is a deconstruction and reconstruction of beginning level stage combat pedagogy to increase accessibility. These ideas are then tested and the results reflected on. This thesis focuses on college level and aged students who are the most likely demographic for beginning stage combat students. The completion of this thesis does not represent an endpoint in …

Stakeholder Perceptions Of The Feasibility Of E-Portfolio-Based Assessment Of Physical Literacy In Primary Health And Physical Education, Jaxon Hogan, Dawn Penney, Eibhlish O’Hara, Joseph Scott

Research outputs 2022 to 2026

Background: Physical literacy (PL) is widely acknowledged as an integral component of high-quality physical education programmes. However, what constitutes appropriate assessment of PL remains a contested issue. This study drew on Whitehead’s conceptualisation of PL as a lifelong journey and investigated how primary school teachers can support students’ PL learning through innovative and engaging assessment methods. The study specifically examined the feasibility of using e-portfolios to facilitate quality PL learning and quality assessment in Physical Education (PE), from different stakeholder perspectives. Methods: This interpretive study employed a qualitative design and methods to investigate aspects of feasibility with three purposive participant …