Instructional Media Design Commons^™

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 …

Leveraging Consistency: Evaluating Ai Coders For Qualitative Research, Saríah López-Fierro, Carlos Chiriboga-Calderón, José López-Fierro, Rubén Pacheco-Villamar

Instructional Technology and Learning Sciences Faculty Publications

This study provides insights of using Large Language Models (LLMs) for deductive coding tasks in market research. Deductive coding, which applies predefined codes to text, often demands consistency rather than interpretive nuance. 

We compare five closed-weight LLMs with a group of human coders in tagging instances of “Expansive Framing” across qualitative excerpts, using Fleiss’ Kappa, ANOVA, and Estimated Marginal Means. Results reveal that LLMs exhibit higher consistency and faster processing than humans. These findings suggest that integrating LLMs can improve efficiency, making them an attractive asset for firms managing large datasets.

Investigating The Relationship Between Noun Classes And Plant Folk Taxonomy In Chasu Language Of Kilimanjaro Region In Tanzania, Peter Rabson Mziray

Journal of Humanities and Social Sciences

The current study investigates the relationship between noun classes and plant folk taxonomy in Chasu (G 22). The study focuses on two objectives: the first objective is to describe the plant folk taxonomy in Chasu and the second objective is to determine the relationship between noun classes and plant folk taxonomy in Chasu. Data were collected from rural villages in Same and Mwanga districts by using free listing, field interviews (jungle-walk-and-identify), and written texts containing Chasu plant names. The findings reveal that Chasu folk taxonomy reflects different ethnobotanical categories; including a unique beginner which is mmea/mimea ‘plant(s)’, and three life …

Vol 18 Issue 3 List Of Reviewers

Journal of Educational Technology Development and Exchange (JETDE)

Vol 18 Issue 3 List of reviewers

Vol 16 Issue 2 List Of Reviewers

Journal of Educational Technology Development and Exchange (JETDE)

List of reviewers of Vol 16, Issue 2

9th Gsep Research Symposium - 2025

GSEP Research Symposium

The Ninth Annual GSEP Research Symposium, themed "Building Bridges to Elevate Humanity: Innovations and Insights in Education and Psychology", was hosted by the Pepperdine University Graduate School of Education and Psychology (GSEP) on June 19–20, 2025, at the historic Château d’Hauteville in Switzerland and virtually via Zoom.

This hybrid symposium convened a vibrant global community of students, alumni, faculty, and scholars to share research that addresses real-world challenges, advances scholarly inquiry, and builds pathways for inclusive collaboration and leadership. Spanning a wide array of topics—from artificial intelligence and mental health to trauma-informed practices, educational equity, social justice, and cross-cultural leadership—the …

Copyright Information

Journal of Science Education for Students with Disabilities

Publication rights to works is granted to Journal of Science Education for Students with Disabilities, however, full copyright for works published in this journal is retained by the author(s). The author(s) may post their works online in an institutional repository, on their University departmental website, or on their own personal websites.

Mulberry Leaf Disease Detection By Cnn-Vit With Xai Integration, Mohammad Asif Hasan, Fariha Haque, Hasan Sarker, Rafae Abdullah, Tonmoy Roy, Nishat Taaha, Yeasin Arafat, Abdul Karim Patwary, Mominul Ahsan, Julfikar Haider

Instructional Technology and Learning Sciences Faculty Publications

Mulberry leaf disease detection is vital for maintaining the health and productivity of mulberry crops. In this paper, a novel approach was proposed by integrating explainable artificial intelligence (XAI) techniques with a convolutional neural network (CNN) and vision transformer (ViT) for effective mulberry leaf disease classification with three disease classes. Initially, in this proposed CNN-ViT model, features are extracted using a customized CNN architecture, and then the extracted features are fed into ViT for leaf disease classification in a more streamlined approach. The CNN-ViT model achieved promising results with a projection dimension of 64, utilizing 8 heads and 8 transformer …

An End-To-End Concatenated Cnn Attention Model For The Classification Of Lung Cancer With Xai Techniques, Fariha Haque, Mohammad Asif Hasan, Md. Abu Ismali Siddique, Tonmoy Roy, Tonmoy Kanti Shaha, Yamina Islam, Avijit Paul, Muhammad E. H. Chowdhury

Instructional Technology and Learning Sciences Faculty Publications

In the field of medical imaging, deep learning (DL) techniques have made significant contributions to the detection and classification of various cancers. Identifying the precise regions in medical images containing cancerous cells plays a crucial role in the diagnostic process. Early and accurate cancer detection is essential for effective treatment and improved patient outcomes. However, manual diagnosis is labor-intensive, requiring the specialized expertise of radiologists, and the increasing number of cancer cases presents challenges in processing large volumes of image data efficiently. To address these challenges, an end-to-end concatenated Convolutional Neural Network (CNN) attention model has been proposed for automatic …

Enhancing Online And Blended Course Design Through Conversations And Observations: The Role Of Stakeholders, Chris Smith, Darlene Schaefer, Geetanjali Soni, Thomas Cooper, Meghan Mcgrath

Developmental Disabilities Network Journal

Online course enrollment for K-12 students has increased dramatically since the early 2000s. This has resulted in promising opportunities for students with disabilities but also requires careful consideration of accessibility in course design and instructional delivery. This mixed-methods study investigated how stakeholder feedback influences the design of blended courses at North Carolina Virtual Public School (NCVPS), a graduation pathway for students with disabilities requiring significant support. Data was collected through surveys of NCVPS online teachers and co-teachers, analysis of course history documents, and the NCVPS student registration system. Findings revealed that educators often modify course templates to accommodate diverse learning …

Soybean Oil-Derived Acrylate/Methacrylate Ether For High Resolution Additive Manufacturing (3d Printing) Technology, Tanuj Patel

Electronic Theses & Dissertations

Additive Manufacturing is one of the rapidly developing techniques, as industries continue to explore new ways to create prototypes and end-use parts, one of the significant challenges that remains is the reliance on petroleum-based plastics for 3D printing, especially in the production of photocurable resins. that may be used to prototype complex structures and sophisticated geometries that are typically challenging to produce with conventional methods. Thus, replacing petroleum-based plastics with renewable resources is increasingly important for additive manufacturing (3D printing) of photocurable resins. The use of bio-based renewable resources in AM is a feasible alternative to traditional petroleum-based plastics. Henceforth, …

Call For Manuscripts, Michele J. Koomen, Thomastine Sarchet-Maher, Jessica Williams

Journal of Science Education for Students with Disabilities

No abstract provided.

Call For Manuscripts, Michele J. Koomen, Thomastine Sarchet-Maher, Jessica Williams

Journal of Science Education for Students with Disabilities

No abstract provided.

From The Editors, Michele J. Koomen, Thomastine Sarchet-Maher, Jessica Williams

Journal of Science Education for Students with Disabilities

JSESD remains a venue for the dissemination of research and practice related to the education of students with disabilities in the science classroom and laboratory since 1998. Volumes #1 through 11 were published in a print format. Starting with Volume #12, the journal has been published online and Open Access. Having JSESD in the Open Access format maximizes access for readers and authors and allows the journal to remain economically sustainable.

Copyright, Michele J. Koomen, Thomastine Sarchet-Maher, Jessica Williams

Journal of Science Education for Students with Disabilities

No abstract provided.

Integrating Human-Centered Design Into Undergraduate Stem Capstone Courses: A Food Product Development Case Study, Saadeddine Shehab, Dawn Bohn, Lucas O'Bryan, Luettamae Lawrence, Mike Tissenbaum

Instructional Technology and Learning Sciences Faculty Publications

This study examines the integration of human-centered design (HCD) in a Food Science capstone course and explores its impact on students’ learning outcomes and skill development. This case study investigated how 42 undergraduate students engaged with HCD processes—including understanding, synthesizing, ideating, prototyping, and implementing—to develop innovative food products. Through pre- and post-surveys, interaction analysis, and performance assessments, the findings revealed that HCD activities significantly enhanced students’ knowledge, collaboration, creativity, and metacognitive skills. Additionally, students demonstrated improved food science competencies, such as product formulation and sensory evaluation. This study highlights the benefits of embedding HCD within STEM curricula to foster authentic, …

Lung Segmentation With Lightweight Convolutional Attention Residual U-Net, Meftahul Jannat, Shaikh Afnan Birahim, Mohammad Asif Hasan, Tonmoy Roy, Lubna Sultana, Hasan Sarker, Samia Fairuz, Hanaa A. Abdallah

Instructional Technology and Learning Sciences Faculty Publications

Background: Examining chest radiograph images (CXR) is an intricate and time-consuming process, sometimes requiring the identification of many anomalies at the same time. Lung segmentation is key to overcoming this challenge through different deep learning (DL) techniques. Many researchers are working to improve the performance and efficiency of lung segmentation models. This article presents a DL-based approach to accurately identify the lung mask region in CXR images to assist radiologists in recognizing early signs of high-risk lung diseases. Methods: This paper proposes a novel technique, Lightweight Residual U-Net, combining the strengths of the convolutional block attention module (CBAM), the Atrous …

Efektivitas Full Body Stretching Dan Edukasi Manual Handling Digital Terhadap Keluhan Musculoskeletal Disorders Pekerja Yantek, Nadia Rosalinda, Anita Sulistyorini, Marji Marji, Supriyadi Supriyadi, Tika Dwi Tama

National Journal of Occupational Health and Safety

Occupational Diseases (PAK) in the form of pain complaints in the skeletal system that cause the work process are called Musculoskeletal Disorders (MSDs). PT. PLN Yantek workers are at risk of experiencing MSDs complaints because the work is done manually and the work posture is less ergonomic. This study aimed to analyze the effect of implementing full-body stretch and digital-based manual handling education and to assess its effectiveness on MSDs. The study used a quasi-experimental method with a one-group pretest-posttest design involving 26 Yantek workers. The intervention was given at 10 meetings, MSDs complaints were measured using the Nordic Body …

Intrusion Detection For Wireless Sensor Network Using Particle Swarm Optimization Based Explainable Ensemble Machine Learning Approach, Shaikh Afnan Birahim, Avijit Paul, Fahmida Rahman, Yamina Islam, Tonmoy Roy, Mohammad Asif Hasan, Fariha Haque, Muhammad E. H. Chowdhury

Instructional Technology and Learning Sciences Faculty Publications

Wireless Sensor Networks (WSN) play a pivotal role in various domains, including monitoring, security, and data transmission. However, their susceptibility to intrusions poses a significant challenge. This paper proposes a novel Intrusion Detection System (IDS) leveraging Particle Swarm Optimization (PSO) and an ensemble machine learning approach combining Random Forest (RF), Decision Tree (DT), and K-Nearest Neighbors (KNN) models to enhance the accuracy and reliability of intrusion detection in WSNs. The system addresses key challenges such as the imbalanced nature of datasets and the evolving complexity of network attacks. By incorporating Synthetic Minority Oversampling Technique Tomek (SMOTE-Tomek) techniques to balance the …

Vietnamese Efl Lecturers’ Perceptions Of The Role Of Chatgpt In Facilitating Language Acquisition Among Their Students, Thanh Thao Le, Phuong Hoang Yen Dr, Trut Thuy Pham, Ngoc Bao Chau Tran, Thi Thuy Linh Nguyen

Journal of Educational Technology Development and Exchange (JETDE)

This qualitative study investigates the perceptions of Vietnamese EFL teachers regarding the role of ChatGPT in Second Language Acquisition (SLA). Amidst the growing integration of Artificial Intelligence (AI) in education, this research focuses on understanding how educators at different career stages perceive the effectiveness of ChatGPT in enhancing language learning experiences. Employing semi-structured interviews, the study engaged nine teachers from two educational institutions in Vietnam. Thematic analysis, guided by the Technology Acceptance Model (TAM) and the Constructivist Theory of Learning, revealed multiple roles of ChatGPT in SLA. These include its use as a conversational partner, a tool for immediate feedback, …

Analyzing Teachers' Perceptions Of Mobile Learning In Senior Secondary Schools: A Frame Model Perspective In Sub-Saharan Africa, Dennis Kealeboga Mabalane Junior

Journal of Educational Technology Development and Exchange (JETDE)

The paper focuses on a systematic review of existing literature regarding the teachers’ perceptions toward mobile learning (mLearning) in public secondary schools across sub-Saharan Africa. It emphasizes that this research synthesizes previously published work rather than presenting original findings. The review identifies significant challenges and opportunities associated with mLearning implementation, particularly in the context of the COVID-19 pandemic, which has accelerated the adoption of mobile technologies in education. Despite the growing body of literature on mLearning trends in sub-Saharan Africa, there remains a notable lack of systematic reviews specifically addressing stakeholder perceptions. This study aims to fill that gap by …

Analysis Of The Scratch Program For Computational Thinking In Schoolchildren In An Educational Institution In Peru: A Network Analysis, Rolando Oscco Solorzano Dr., Leonor Torres Matos Dr, David Aroni Palomino, Miguel Armando Alcca Huisa, Jeanny Helen Ppuño Huaricachi, Delio Merma Saico

Journal of Educational Technology Development and Exchange (JETDE)

Abstract: o analyze the relationship between the Scratch program and students’ computational thinking in an educational institution in Peru, relational research guidelines were followed with 384 regular elementary school students aged 6 to 12. The group had a higher percentage of males (52.6%) compared to females (47.4%). Two custom questionnaires were used to measure both variables. The study found that the aesthetic aspects of the Scratch program are the most significant component for developing computational thinking (=3.34; =2.34; =2.47), especially the dimension of computational practices. Limitations include a small sample size for analyzing sociodemographic variables, operationalization of computational thinking dimensions, …

V1804 List Of Reviewers

Journal of Educational Technology Development and Exchange (JETDE)

List of Reviewers

Vol 18(1) Table Of Contents

Journal of Educational Technology Development and Exchange (JETDE)

N/A

Vol 18(2) Table Of Contents

Journal of Educational Technology Development and Exchange (JETDE)

N/A

Vol 18(2) List Of Reviewers

Journal of Educational Technology Development and Exchange (JETDE)

N/A

Enhancing University Students’ Listening Comprehension Using The Toefl Learning English Application (Mall) : A Quantitative Study, Andrian Nuriza Johan, Sri Wuli Fitriati, Januarius Wuli Mujiyanto, Widhiyanto Wuli Widhiyanto

Journal of Educational Technology Development and Exchange (JETDE)

This study investigates the effectiveness of the TOEFL Learning English Application in enhancing the listening comprehension skills of English as a Foreign Language (EFL) learners and explores students’ perceptions of its use. A descriptive quantitative design was employed involving 45 English Education students at Universitas Muhammadiyah Purworejo. Pre- and post-tests measured listening comprehension gains, while a questionnaire based on the Technology Acceptance Model assessed student perceptions. Results showed a statistically significant improvement in listening scores, as well as generally positive perceptions regarding the application’s accessibility, usability, and ability to reduce learning anxiety. These findings support using the TOEFL Learning English …

Vol 18 Issue 3 Table Of Contents

Journal of Educational Technology Development and Exchange (JETDE)

Table of contents

Students’ Perceptions Of Higher Education Assessment Practices In The Context Of Artificial Intelligence In Ghana, Michael Owusu Tabiri, Opoku Gyabaah, Ivy Jones-Mensah, Patience Calys-Tagoe

Journal of Educational Technology Development and Exchange (JETDE)

This study aims to investigate the experiences of university students on the use of artificial intelligence (AI) for assessment in higher education in Ghana. A quantitative survey approach was employed, using an online questionnaire administered to target participants across five public universities. The findings from a final sample size of 509 indicate varying levels of exposure to AI-based tools for assessment, learning, and research. It was found that the majority of the respondents have occasionally (n=218, 42.8%) been assessed using AI-based tools, while very few have very often (n=35, 6.9%) used AI-based tools for assessment as students. It was also …

Effectiveness Of Multimodal Communicative Practices In Higher Artistic Education: An Analysis Of Contemporary Approaches, Mariia Tkach, Alla Kozyr, Mykhailo Mymryk, Nadiia Holubytska, Iryna Khomych

Journal of Educational Technology Development and Exchange (JETDE)

The relevance of the study is driven by the fact that in today’s world, higher education is increasingly oriented towards interactivity and the utilization of various resources. The aim of this article is to explore various aspects of multimodality and formulate key communicative practices in higher artistic education. Addressing the stated problem is based on theoretical methodology, including methods such as surveys, analytical approaches including historical and hermeneutic analysis, comparative methods, and systematization. Research findings demonstrate that multimodality effectively enriches the learning process, fosters critical thinking, and deepens understanding of subjects. Digital technologies contribute to enhancing students’ technological literacy, preparing …