Educational Technology Commons^™

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 …

Ai Bots As Law Teachers: What Is Left For Human Professors To Do?, Harold I. Abramson

Scholarly Works

This article considers what bots can do as AI law teachers, how students are already using bots for learning, how to integrate the use of AI into law courses, and what faculty can do to stay ahead of the bots in their classrooms. During this discussion, the article confronts the existential question of what is left for human law professors to do in an AI world. It concludes that there is a future for humans for now, and one that might make us better teachers.

The Relationship Between Participants In The Certificate Of Educational Technology And Information Literacy (Coetail) Program And Professional Capital, Benjamin J. Sheridan

Theses and Dissertations--Educational Leadership Studies

This study aimed to explore how educators involved in the Certificate of Educational Technology and Information Literacy (COETAIL) program perceived the development of their professional capital within an online, cohort-based professional learning community. Based on Hargreaves and Fullan’s (2012) concept of professional capital, which includes human, social, and decisional capital, and guided by social learning theories, the study examined participants’ perceptions of professional capital development, the program features related to that development, and how participation influenced their professional paths. The research focused on international school settings, where educators often rely on networked professional learning because of geographic mobility and limited …

Teacher Self-Efficacy Perceptions For Technology Integration And Social Media Use As Instructional Tools: Future Implications For Pedagogy In Trinidad And Tobago, Paula Edwards Sealey

Dissertations

Problem

As the educational landscape in Trinidad and Tobago evolve post COVID-19, gaining an understanding of the purpose of teachers in the implementation of national and ministerial ICT policies seem imperative. The exploration of teacher’s personal belief about their ability to effectively infuse technology and social media with their traditional teaching practices, may provide much needed insight about the role that teacher self-efficacy plays in this educational shift (Caner & Aydin, 2021; Phillip & Cain, 2015). Very few studies in the local and regional literature involve teacher self-efficacy as a variable of interest. Moreso, there has been no research to …

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

STEMPS Faculty Publications

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

Students-Generative Ai Interaction Patterns And Its Impact On Academic Writing, Jinhee Kim, Sang-Soog Lee, Rita Detrick, Jialin Wang, Na Li

STEMPS Faculty Publications

Considering both the transformative opportunities and challenges presented by generative AI (GenAI) in academic writing, effectively integrating GenAI into the academic setting becomes a significant need requiring prioritization. Yet, there is limited understanding regarding the nature of interactions between different types of students, what behavioral patterns students exhibit during a student-GenAI interaction (SAI) on a given task, and how these different SAI patterns relate to the actual writing task performance. This study, therefore, aimed to identify SAI patterns of academic writing tasks depending on students’ level of AI literacy and examine the differences in academic writing performance between the identified …

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

STEMPS Faculty Publications

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

Designing Faculty Standards For Technology Integration In Higher Education Institutions: A Design-Based Research Study, Helen Crompton, Diane Burke, Christine Nickel

STEMPS Faculty Publications

This design-based research study responds to the call from scholars, organizations, and institutions to address the gap in scholarly knowledge regarding the lack of technology standards for faculty in higher education. These standards cover the three areas of faculty workload: teaching, research, and service. Conducted over two iterative macro cycles, this unique study engaged 114 participants, including faculty from a range of disciplines and institutional types, accreditation organizations and coordinators, and education and technology organizations. The outcome is a framework comprising six faculty standards; Instructor, Coordinator, Leader, Researcher, Learner, and Contributor. Each outcome is accompanied by practical indicators that support …

Foreword, Pedagogical Innovations In Computer Science Education, Helen Crompton

STEMPS Faculty Publications

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

Human Centered Learning Management System Design Inspired By Social Networking Platforms, Giseung Lee

World Languages and Cultures Faculty Publications

The rapid integration of generative artificial intelligence (GenAI) into higher education is reshaping interaction within digital learning environments. As AI-enabled tools such as conversational agents and automated feedback systems become embedded in Learning Management Systems (LMSs), questions arise regarding how these systems can support social presence, dialogue, and human-centered pedagogy without reproducing the attention-driven logics of commercial social media. This paper presents a conceptual, design-oriented framework for human-centered LMS design inspired by selected interactional affordances of Social Network Sites (SNSs). Drawing on social presence theory, post-process pedagogy, and hyperpedagogy, the framework articulates four interrelated design dimensions—Familiar Interaction, Dialogic Feedback, Community …

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

Capstone Showcase

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

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

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

STEMPS Faculty Publications

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

Mit 815: Ai In Education, Elodie Jones

All Open Educational Resources

MIT 815: AI in Education is a comprehensive 3-hour graduate course exploring the transformative intersection of artificial intelligence and educational practices, designed for educators, instructional designers, and leaders. The curriculum covers essential topics, including the history and foundation of AI, a framework for AI Literacy, AI ethics and safety, and practical skills for implementing and evaluating AI-driven educational solutions, including AI-based education policies or guidelines.

Who Cares? A Critique Of Digital Classrooms In K–12 Education And What It Means For Students And Teachers, Jade R. Mccobb-Pratt

Honors Undergraduate Theses

This thesis presents a critical analysis of digital classrooms, i.e., pre-made digital curriculum modules being used in in-person K–12 schools as a replacement for face-to-face instruction. By applying Martin Heidegger’s critique of modern technology, I will demonstrate that digital classrooms fundamentally alter the traditional classroom structure, centering it around domination and exploitation. I will expand Heidegger’s critique by drawing on Albert Borgman’s work to explain how digital classrooms commodify education, thus removing the possibility of a meaningful and enriching educational experience. These critiques run parallel to Michel Foucault’s critiques of discipline in schools. I will recount Foucault’s critiques, apply them …

Evaluating The Comparison Of Different Body Locations For Data Collection Using Galvanic Skin Response Of Forensic Chemistry Students When In Lecture And Laboratory Environments, Elisa Guerrero

Honors Undergraduate Theses

Anxiety is the response that humans can have when exposed to a stimulus. It can be caused by a multitude of factors, such as psychological, biological, or physiological stimuli. Anxiety can be presented as a state or as a trait in a person. Trait anxiety is typically seen as a more stable personality trait, whereas state anxiety is a more intense temporary emotional state. In our study, anxiety was regarded as a more state-like characteristic. A galvanic skin response (GSR) Shimmer3+ device can measure skin electro-conductance changes following stimulation. In a situation where a participant is experiencing anxiety, levels of …

From Prompt To Practice: Designing Custom Ai Bots For Interpersonal Skill Development, Alaina Michelle Schrader

2026 Scholarly Teaching Conference: Concurrent Session Papers

Developing strong interpersonal, leadership, and professional communication skills is foundational in counselor and education preparation programs (Fecke et al., 2023; Lateef, 2010; Stamer et al., 2023). Despite this reality, students often have limited opportunities for repeated, low-stakes practice before engaging with real clients, students, families, administrators, and other stakeholders (Lateef, 2010; Maurya, 2024; Stamer et al., 2023). This session describes a teaching practice that uses custom AI bots as simulated clients, parents, group members, and school administrators to create realistic, structured practice environments where students can rehearse counseling skills, consultation conversations, advocacy, boundary-setting, and professional decision-making without the pressure or …

The Impact Of School Leadership Styles On Teachers’ Attitudes, Pedagogy, And Skills Related To Technology Integration, Shuai Gong

Education Dissertations

Emerging technologies have a profound influence on contemporary schools. School leaders, such as principals, grapple with balancing and leveraging these transformations through various leadership styles. A review of the literature revealed an absence of consistent quantitative data on how principal’s leadership styles impact technology integration, as well as limited understanding within qualitative studies on teachers’ experiences with leadership in this phenomenon. Drawing on transformational leadership theory and organizational theory, this mixed-method study examined the impact of school leadership styles on teachers’ attitudes and abilities toward technology integration in K-12 education, aligning with the Full-Range Leadership Model (FRLM) and the Will, …

Generative Ai Peer Tutoring To Support Peer-Reviewed Source Identification And Evaluation, Rae Mair, Michelle Kelley, Taylar Wenzel, Andrea C. Borowczak, Yuqing Li, Mike Borowczak

Faculty Scholarship and Creative Works

This chapter explores the design and evaluation of a generative artificial intelligence peer tutor prompt to support college students in identifying and evaluating peer-reviewed sources for academic research. Grounded in literature on peer tutoring, Socratic dialogue, and AI-supported learning, the authors describe an iterative prompt engineering process designed to transform large language models (LLMs) into Socratic-style peer tutors capable of scaffolding student reasoning without completing tasks for them. Five guiding criteria for an effective peer tutor shaped development and evaluation: cognitive congruence, step-by-step guidance, avoiding giving answers, adaptability to student level, metacognitive transparency, and following assignment directions. Across multiple human-centered …

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 …

Adult Learners' Perspectives Of Ai Applications In Supporting Andragogy, Jinhee Kim, Xi Lin, Seongryeong Yu, Rita Detrick

STEMPS Faculty Publications

Emerging roles and capabilities of artificial intelligence (AI) technologies have the potential to support andragogical education and enhance learning experience for adult learners (ALs). However, the effective use of AI to support multifaceted components of andragogy including involvement, experience, problem-centered, relevance remains under explored. Furthermore, research on AI design principles to support ALs and andragogy is limited. This study, therefore, aims to investigate ALs perceptions of AI applications in enhancing andragogy and to explore the essential design principles of AI systems for andragogy. To this end, the study conducted semi-structured interviews with 20 ALs facilitated by 11 scenarios of AI …