Geo210 Intro To Gis: Students As Partners Support Of Instructional Modalities,
2026
Embry-Riddle Aeronautical University
Geo210 Intro To Gis: Students As Partners Support Of Instructional Modalities, Elise Anderson, Dharm Barot, Riley Grant
Student Works
This study investigates the impact of a Students as Partners (SAP) model on teaching effectiveness and student success in GEO210: Introduction to Geographic Information Systems at Embry‑Riddle Aeronautical University. Over three semesters, student partners collaborated with the instructor to co‑design course curriculum and instructional modalities. This collaboration resulted in peer‑led lectures, collaborative learning activities, iterative skill assessments, and revised assignments with clear rubrics. Student outcomes in SAP sections were compared with those in non‑SAP sections using course evaluations, grades, and qualitative student feedback. The results indicate that SAP sections achieved higher teaching effectiveness ratings, more positive perceptions of the learning …
Family, Stability, Mentors & Money: Student Definitions Of Success,
2026
Claremont McKenna College
Family, Stability, Mentors & Money: Student Definitions Of Success, Arturo Caldera
CMC Senior Theses
This research takes a deep dive into the factors shaping marginalized communities’ educational experiences, particularly for low-income Latino students from migrant backgrounds navigating public schooling spaces. Across sixteen qualitative interviews, participant narratives reveal how a systemic lack of resources at the institutional, interpersonal, and structural levels undermines the quality of support students receive and shapes their academic trajectories. Grounded in student-centered practices and informed by scholarship in multicultural education, Chicanx/Latinx studies, feminism, and psychology, this study contributes to ongoing efforts to move beyond deficit-based frameworks and instead recognize the cultural wealth, knowledge, and resilience students bring from their homes and …
Deep Search In K–12 Education: Opportunities, Risks, And Research-Literacy Imperatives For Ai-Enabled Classrooms,
2026
Winona State University
Deep Search In K–12 Education: Opportunities, Risks, And Research-Literacy Imperatives For Ai-Enabled Classrooms, Steven Baule, Dillon Martinnez
Essays in Education
Generative artificial intelligence (AI) deep search tools, such as ChatGPT’s Deep Research, Google’s Gemini Deep Search, Perplexity Research, Claude’s extended search, and emerging academic engines like Elicit and Consensus, are reshaping the ways students and educators locate, evaluate, and synthesize information. These tools promise to democratize research and reduce barriers to high-quality sources, particularly in K–12 environments where time, instructional capacity, and access to resources vary widely. However, recent analyses reveal significant challenges: inaccuracies, opaque algorithms, hallucinated facts, and inconsistencies across platforms. Using classroom-relevant examples and controlled experiments, including ambiguous historical searches and complex educational policy queries, this article examines …
Beyond Assumptions: What Students Really Think About School Wellbeing Programs,
2026
Edith Cowan University
Beyond Assumptions: What Students Really Think About School Wellbeing Programs, Amanda Madden
Research outputs 2022 to 2026
The study examined students’ perceptions of effective components in school-based wellbeing programs, addressing a critical gap where adolescent voices are absent. Data was gathered through a questionnaire, individual interviews, and focus groups conducted with 36 Year 12 students across three independent co-educational schools in Western Australia. Thematic analysis identified seven key components essential for effective wellbeing programming: targeted content providing respite from academic pressures, engaging and relatable presenters, strategic timing, developmental appropriateness, meaningful measurement, genuine teacher engagement, and authentic incorporation of student voice. Students valued practical, non-academic content and expressed scepticisms about teacher-delivered programs. Timing emerged as a previously underexplored …
Ai-Generated Content In Education: Moving Beyond Theory Toward Data-Driven And Actionable Insights,
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 …
Development Of The Digital Literacy Scale Based On A Socioformative Approach In University Students,
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 …
Development And Psychometric Validation Of A Short-Form Critical Thinking Scale In Generative Ai Contexts (Genai–Crt): Evidence From Vietnamese Efl Learners,
2026
Dalat University, Vietnam
Development And Psychometric Validation Of A Short-Form Critical Thinking Scale In Generative Ai Contexts (Genai–Crt): Evidence From Vietnamese Efl Learners, Ngo Cong-Lem, Thang T. Nguyen, Khanh N. H. Nguyen, Quyen N. H. Nguyen
Journal of Educational Technology Development and Exchange (JETDE)
The rapid spread of generative artificial intelligence (GenAI) in education has intensified concerns about its impact on learners’ critical thinking, underscoring the need for reliable instruments to assess how students engage critically with AI-generated content. This study adapted, developed, and initially validated the Generative AI–Critical Thinking (GenAI–CrT) scale, an eight-item short-form instrument designed to capture EFL learners’ critical thinking in AI-enhanced learning contexts. Data from 233 Vietnamese undergraduates and graduates underwent exploratory and confirmatory factor analyses, supporting a theoretically grounded four-factor structure comprising analytical skills, logical reasoning, evidence evaluation, and open-mindedness. The scale demonstrated excellent model fit (χ²(14) = 23.49, …
Trends And Innovations In The Development Of Immersive Technology In Science Education (2019-2024): A Literature Review,
2026
Universitas Negeri Semarang, Indonesia
Trends And Innovations In The Development Of Immersive Technology In Science Education (2019-2024): A Literature Review, Aziz Kurniawan, Hartono Hartono, Bambang Subali
Journal of Educational Technology Development and Exchange (JETDE)
The COVID-19 pandemic has had a significant impact, including the change in learning methods from face-to-face to non-face-to-face learning. This change in method accelerates innovation in the use of technology to support non-face-to-face learning. Immersive technologies, such as Augmented Reality (AR), Virtual Reality (VR), and Virtual laboratories, have offered authentic and interactive non-face-to-face learning experiences in science education. This study employed a systematic literature review (SLR) method to map trends and innovations in the development of immersive technology in science education from 2019 to 2024. The literature data were obtained from the Scopus database and then selected using the PRISMA …
Speaking Up Online And Offline: The Effects Of Social Media-Based E-Portfolios In Empowering Efl Students' Speaking Performance,
2026
Universitas Pendidikan Ganesha, Indonesia
Speaking Up Online And Offline: The Effects Of Social Media-Based E-Portfolios In Empowering Efl Students' Speaking Performance, I Putu Indra Kusuma, Luh Indrayani
Journal of Educational Technology Development and Exchange (JETDE)
Although e-portfolios are widely acknowledged for enhancing EFL students’ speaking skills, most studies assessed performances offline, leaving limited evidence of their impact across both modes. This study examined the effects of social media-based e-portfolios combined with classroom instruction on students’ speaking performance in online and offline contexts. A mixed-methods experimental design was employed, involving 46 Indonesian university students divided into an experimental and a control group. Data were collected through online and offline pre- and post-speaking tests, a speaking performance rubric, and semi-structured interviews. Quantitative analysis using One-Way MANOVA, Univariate ANOVA, paired sample t-test, and effect size revealed significant improvements …
Case-Based Learning In Biology Education: A Systematic Literature Review,
2026
Universitas Mulawarman, Indonesia
Case-Based Learning In Biology Education: A Systematic Literature Review, Elsje Theodora Maasawet, Jullya Christin Kolow
Journal of Educational Technology Development and Exchange (JETDE)
Biology education often relies on content-intensive instructional materials that may encourage rote memorisation rather than conceptual understanding, potentially contributing to misconceptions. Case-Based Learning (CBL) offers an alternative by engaging students in applying biological concepts to authentic, real-life cases and promoting meaningful learning. Despite growing empirical interest in CBL, no systematic literature review has specifically synthesised its application in biology education. This study therefore examined publication trends, learning skills addressed, and conceptualisations of CBL in biology education. Relevant literature was retrieved from Scopus and Web of Science using “Case-Based Learning” as the search term. Following PRISMA-guided screening, 42 articles were included …
Integrating Digital Tools To Foster Soft Skills In Vocational Education: A Flipped Classroom Approach In China,
2026
INTI International Universtity, Malaysia; Dongying Vocational College of Science & Technology, China
Integrating Digital Tools To Foster Soft Skills In Vocational Education: A Flipped Classroom Approach In China, Shanshan Wu, Renee Shiun Yee Chew, Yanhua Bi, Hui Jin
Journal of Educational Technology Development and Exchange (JETDE)
Changes in the global demand for labor have highlighted the need for vocational education and training (VET) systems to develop not only technical skills but also soft skills like critical thinking, communication, and adaptability. This research investigates the use of digital technologies in a flipped classroom (FC) model and their impact on the development of soft skills in vocational students with particular attention to the growing VET ecosystem in China. With data gathered from a cross-sectional quantitative survey of 270 students from a Chinese vocational college, the research seeks to assess the impact of specific digital tools, such as video …
The Impact Of Flight Instructor Feedback On Subsequent Instructor Evaluations Of Student Performance,
2026
Embry Riddle Aeronautical University
The Impact Of Flight Instructor Feedback On Subsequent Instructor Evaluations Of Student Performance, Ayhan Rozyyev, Jennifer E. Thropp
Journal of Aviation/Aerospace Education & Research
This study examines the impact of feedback tone and feedback order on flight instructors’ evaluations of student performance in an aviation training context. Using a 2×2 mixed factorial design, 40 certified flight instructors reviewed fictitious training records and rated students based on feedback that varied in tone (positive vs. negative) and order (positive-first vs. negative-first). Results showed that positive feedback significantly influenced evaluations across all measured dimensions, while feedback order had no significant effect, challenging assumptions about primacy and recency effects. These findings highlight the role of positive reinforcement in shaping instructor evaluations and suggest that structured training environments can …
Evaluating Artificial Intelligence Language Tools In English Language Learning For Flight Attendant Learners,
2026
Universiti Kebangsaan Malaysia, Malaysia
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,
2026
The University of Southern Mississippi
Vol 19 Issue 1 Table Of Contents
Journal of Educational Technology Development and Exchange (JETDE)
Table of Contents
Machine Learning For Predicting Students’ Academic Performance In Selected Educational Technology Courses In Nigerian Universities,
2026
University of Ilorin, Ilorin, Nigeria
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 …
Large Language Model-Based Automated Item Generation In Stem Assessments: Historical Mapping And A Scoping Review Of Empirical Studies,
2026
HSE University, Russia
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,
2026
State University of Surabaya, Indonesia
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,
2026
Yantai University, China
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,
2026
Fan S. Noli University of Korca, Albania
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,
2026
Universidad Antonio de Nebrija, Spain
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 …
