Educational Technology Commons^™

A Point Of Singularity For Technology And Engineering Education, Philip A. Reed

Educational Leadership & Workforce Development Faculty Publications

[First paragraph] I attended graduate school at Virginia Tech in the late 1990's and some of my fondest memories are from the side conversations with the faculty. The faculty at that time consisted of my mentor and program leader, Jim LaPorte, and other leaders in the field: Allen Bame, Sharon Brusic, Tom Jeffries, and Mark Sanders. Bill Dugger had recently retired from the university but maintained an office in Blacksburg to work full time on the Technology for All Americans Project (TfAAP, ITEEA, 2024) and he was very gracious about hosting students at the TfAAP office …

The Promise And Pitfalls Of Genai In Education, Helen Crompton

STEMPS Faculty Publications

Since ChatGPT was made available to the public, artificial intelligence (AI) has had accelerated growth in the field of education at an unprecedented rate. This study examined the misuses and limitations of ChatGPT and similar generative AI as well as the affordances of these tools for teaching and learning. Using PRISMA protocol, this thematic systematic review examined extant literature from November 2022 to June 2024. The findings reveal five misuses and limitations trends in the literature of cheating, inaccuracies, plagiarism, bias, and data privacy. Affordances highlighted six areas of content creation, personalization, engagement, student coaching and assistance, assessment, and task …

The Seti Framework And Technology Integration In The Digital Age, Helen Crompton, Diane Burke, Christine Nickel, Agnes Chigona

STEMPS Faculty Publications

Effective integration of technology is critical for online, blended, hybrid, and face-to-face learning. The purpose of this paper is to introduce the SETI (Socio-Ecological Technology Integration) framework and explain what it adds to the scholarly research regarding effective technology integration. The SETI framework goes beyond previous frameworks and applies a holistic systems approach to understanding effective technology integration. This takes into account all aspects of technology integration including new findings uncovered during the Covid-19 lockdown. TPACK and SAMR were analyzed identifying their benefits and limitations and then the SETI framework was explained providing insight into the value of a whole …

Types Of Teacher-Ai Collaboration In K-12 Classroom Instruction: Chinese Teachers' Perspective, Jinhee Kim

STEMPS Faculty Publications

The advancing power and capabilities of artificial intelligence (AI) have expanded the roles of AI in education and have created the possibility for teachers to collaborate with AI in classroom instruction. However, the potential types of teacher-AI collaboration (TAC) in classroom instruction and the benefits and challenges of implementing TAC are still elusive. This study, therefore, aimed to explore different types of TAC and the potential benefits and obstacles of TAC through Focus Group Interviews with 30 Chinese teachers. The study found that teachers anticipated six types of TAC, which are thematized as One Teach, One Observe; One Teach, One …

Athletic Trainers' Perceptions Of The Structure And Barriers To Online Continuing Education Clinical Documentation Models, Sara L. Nottingham, Tricia M. Kasamatsu, Julie M. Cavallario, Cailee E. Welch Bacon

Rehabilitation Sciences Faculty Publications

Context: Athletic trainers (ATs) appreciate the accessibility of web-based continuing education (CE) opportunities. ATs describe needing more CE opportunities related to clinical documentation, but the effectiveness of CE in this content area has not been studied.

Objective: Obtain ATs’ perceptions of their experiences accessing web-based CE specific to clinical documentation.

Design: Qualitative study.

Setting: Web-based audio interviews.

Patients or Other Participants: Twenty-nine ATs, averaging 36.2 ± 9.0 years of age, including 16 women and 13 men who represented 8 different clinical practice settings.

Data Collection and Analysis: Participants previously completed 1 of 2 web-based CE modules specific to clinical documentation, …

Differences In Student-Ai Interaction Process On A Drawing Task: Focusing On Students' Attitude Towards Ai And The Level Of Drawing Skills, Jinhee Kim, Yoonhee Ham, Sang-Soog Lee

STEMPS Faculty Publications

Recent advances and applications of artificial intelligence (AI) have increased the opportunities for students to interact with AI in their learning tasks. Although various fields of scholarly research have investigated human-AI collaboration, the underlying processes of how students collaborate with AI in a student-AI teaming scenario have been scarcely investigated. To develop effective AI applications in education, it is necessary to understand differences in the student-AI interaction (SAI) process depending on students' characteristics. The present study attempts to fill this gap by exploring the differences in the SAI process amongst students with varying drawing proficiencies and attitudes towards AI in …

Exploring Students' Perspectives On Generative Ai-Assisted Academic Writing, Jinhee Kim, Seongryeong Yu, Rita Detrick, Na Li

STEMPS Faculty Publications

The rapid development of generative artificial intelligence (GenAI), including large language models (LLM), has merged to support students in their academic writing process. Keeping pace with the technical and educational landscape requires careful consideration of the opportunities and challenges that GenAI-assisted systems create within education. This serves as a useful and necessary starting point for fully leveraging its potential for learning and teaching. Hence, it is crucial to gather insights from diverse perspectives and use cases from actual users, particularly the unique voices and needs of student-users. Therefore, this study explored and examined students' perceptions and experiences about GenAI-assisted academic …

The Manifesto For Teaching And Learning In A Time Of Generative Ai: A Critical Collective Stance To Better Navigate The Future, Aras Bozkurt, Junhong Xiao, Robert Farrow, John Y. H. Bai, Chrissi Nerantzi, Stephanie Moore, Jon Dron, Christian M. Stracke, Lenandlar Singh, Helen Crompton, Apostolos Koutropoulos, Evgenii Terentev, Angelica Pazurek, Mark Nichols, Alexander M. Sidorkin, Eamon Costello, Steven Watson, Dónal Mulligan, Sarah Honeychurch, Charles B. Hodges, Mike Sharples, Andrew Swindell, Isak Frumin, Ahmed Tlili, Patricia J. Slagter Van Tryon, Melissa Bond, Maha Bali, Jing Leng, Kai Zhang, Mutlu Cukurnova, Thomas K. F. Chiu, Kyungmee Lee, Stefan Hrastinski, Manuel B. Garcia, Ramesh Chander Sharma, Bryan Alexander, Olaf Zawacki-Richter, Henk Huijser, Petar Jandrić, Chanjin Zheng, Peter Shea, Josep M. Duart, Chryssa Themeli, Anton Vorochkov, Sunagül Sani-Bozkurt, Robert L. Moore, Tutaleni Iita Asino

STEMPS Faculty Publications

This manifesto critically examines the unfolding integration of Generative AI (GenAI), chatbots, and algorithms into higher education, using a collective and thoughtful approach to navigate the future of teaching and learning. GenAI, while celebrated for its potential to personalize learning, enhance efficiency, and expand educational accessibility, is far from a neutral tool. Algorithms now shape human interaction, communication, and content creation, raising profound questions about human agency and biases and values embedded in their designs. As GenAI continues to evolve, we face critical challenges in maintaining human oversight, safeguarding equity, and facilitating meaningful, authentic learning experiences. This manifesto emphasizes that …

Classification Of Instructional Activities In Classroom Videos Using Neural Networks, Jonathan K. Foster, Matthew Korban, Peter Youngs, Ginger S. Watson, Scott T. Acton

VMASC Publications

Classroom videos have become an integral part of classroom observation and instructional quality studies. Researchers encounter substantial financial and time-consuming costs gathering trained personnel to catalogue and analyze a large quantity (i.e., hundreds of hours) of classroom videos. In this chapter, we argue that deep-learning neural networks have potential to help with these tasks by detecting features of instruction in videos. We evaluated the performance of three neural networks in detecting instructional activities in classroom videos. The video dataset included a total of forty-six hours, which was evenly split between elementary mathematics and English language arts lesson recordings. Results showed …

Automated Classification Of Elementary Instructional Activities: Analyzing The Consistency Of Human Annotations, Jonathan K. Foster, Peter Youngs, Rachel Van Aswegen, Samarth Singh, Ginger S. Watson, Scott T. Acton

VMASC Publications

Despite a tremendous increase in the use of video for conducting research in classrooms as well as preparing and evaluating teachers, there remain notable challenges to using classroom videos at scale, including time and financial costs. Recent advances in artificial intelligence could make the process of analyzing, scoring, and cataloguing videos more efficient. These advances include natural language processing, automated speech recognition, and deep neural networks. To train artificial intelligence to accurately classify activities in classroom videos, humans must first annotate a set of videos in a consistent way. This paper describes our investigation of the degree of inter-annotator reliability …

Automatic Classification Of Activities In Classroom Videos, Jonathan K. Foster, Matthew Korban, Peter Youngs, Ginger S. Watson, Scott T. Acton

VMASC Publications

Classroom videos are a common source of data for educational researchers studying classroom interactions as well as a resource for teacher education and professional development. Over the last several decades emerging technologies have been applied to classroom videos to record, transcribe, and analyze classroom interactions. With the rise of machine learning, we report on the development and validation of neural networks to classify instructional activities using video signals, without analyzing speech or audio features, from a large corpus of nearly 250 h of classroom videos from elementary mathematics and English language arts instruction. Results indicated that the neural networks performed …

Enhancing Decision-Making In Higher Education: Exploring The Integration Of Chatgpt And Data Visualization Tools In Data Analysis, Tristan Jiang, Elina Liu, Tasawar Baig, Qingrong Li

University Administration Publications

This chapter explores the potential of integrating conversational AI tools such as ChatGPT with data visualization (DV) tools such as Power BI in higher education settings. A brief history of chatbots is summarized and challenges and opportunities in higher education are outlined. The highlights include AI's prospects for enhancing data-informed decision-making while needing safeguards to mitigate risks. Through a pioneering exercise, we integrated ChatGPT's conversational capabilities with Power BI's interface via API and tested functionality. Suggestions for good practice and implications for higher education are discussed.

Smart Learning Development Model Of Indonesian Higher Education, Jajat Sudrajat, Widodo Samyono

Mathematics & Statistics Faculty Publications

This research aims to provide input to the Entrepreneurship Study Program to improve the learning process in the context of accelerating National Entrepreneurship so that it can be implemented in 59 Entrepreneurship Study Programs that are members of the apski.net, as a follow-up to the Focus Group Discussion with members of APSKI and KEMENKOPEKM. The research method used in this study is the Research and Development (R&D) method through a case study of the intelligent learning process in the Entrepreneurship Study Program, Bina Nusantara University (Binus). The result of this research is that the Entrepreneurship Study Program can brand entrepreneurship …

The Educational Affordances And Challenges Of Chatgpt: State Of The Field, Helen Crompton, Diane Burke

STEMPS Faculty Publications

ChatGPT was released to the public in November 30, 2022. This study examines how ChatGPT can be used by educators and students to promote learning and what are the challenges and limitations. This study is unique in providing one of the first systematic reviews using peer review studies to provide an early examination of the field. Using PRISMA principles, 44 articles were selected for review. Grounded coding was then used to reveal trends in the data. The findings show that educators can use ChatGPT for teaching support, task automation, and professional development. These were further delineated further by axial sub …

Ai And English Language Teaching: Affordances And Challenges, Helen Crompton, Adam Edmett, Neenaz Ichaporia, Diane Burke

STEMPS Faculty Publications

English is one of the most used languages for jobs, markets, tourism, discourse and international connectivity. However, English learners face many challenges in gaining English language skills. Extant studies show that AI has affordances to support in English language teaching and learning ELT/L. This study answers the call to examine specific challenges and affordances for using AI in ELT/L. A systematic review method was used with PRISMA principles to identify 42 studies. Findings reveal the geographical locations of studies, learner ages and years of study. Grounded coding was then used to identify affordances of the use of AI in ELT/L …

The Nexus Of Iste Standards And Academic Progress: A Mapping Analysis Of Empirical Studies, Helen Crompton, Diane Burke

STEMPS Faculty Publications

Technology has become commonplace in K-12 classrooms with students actively using digital technology to support learning. The purpose of this study was to investigate whether there is empirical support that implementing the ISTE Standards for Students can result in learning gains. A scoping review methodology was used to map extant literature to evidence of learning gains. To ensure transparency in the selection of the articles and the evidence gathering procedure, an a priori method was used. This study is unique in that it provides the first examination of a set of student standards for technology use to learning gains within …

Join The Sons Of Liberty! Exploring 1773 Bloxels Boston, Elisa Shaffer

STEMPS Faculty Publications

Learners will create a colonial character to explore 1773 Boston and gain insight into the underpinnings of the events that led up to and occurred during the Boston Tea Party on December 16, 1773. Using Bloxels, learners will travel the streets of Boston, interacting with different characters and learning about their concerns and events. They will also interact with British soldiers and tax collectors. Additionally, they will be given an opportunity to join the Sons of Liberty and participate in the Boston Tea Party.

Exploring Instructional Designers' Utilization And Perspectives On Generative Ai Tools: A Mixed Methods Study, Tian Luo, Pauline S. Muljana, Xinyue Ren, Dara Young

STEMPS Faculty Publications

The emergence of generative artificial intelligence (GenAI) has caused significant disruptions on a global scale in various workplace settings, including the field of instructional design (ID). Given the paucity of research investigating the impact of GenAI on ID work, we conducted a mixed methods study to understand instructional designers (IDs)’ perceptions and experiences of utilizing GenAI across a spectrum of ID tasks. A total of 70 IDs completed an online survey, and 13 of them participated in the semi-structured interviews. The survey results indicated IDs’ familiarity with and perceived usability of GenAI tools in performing various ID responsibilities in their …

A Systematic Review Of Educational Online Peer-Review And Assessment Systems: Charting The Landscape, Dmytro Babik, Edward Gehringer, Jennifer Kidd, Kristine Sunday, David Tinapple, Steven Gilbert

Teaching & Learning Faculty Publications

Over the past two decades, there has been an explosion of innovation in software tools that encapsulate and expand the capabilities of the widely used student peer assessment. While the affordances and pedagogical impacts of traditional in-person, "paper-and-pencil" peer assessment have been studied extensively and are relatively well understood, computerized (online) peer assessment introduced not only shifts in scalability and efficiency, but also entirely new capabilities and forms of social learning interactions, instructor leverage, and distributed cognition, that still need to be researched and systematized. Despite the ample research on traditional peer assessment and evidence of its efficacy, common vocabulary …

"Ai's Pompous Vocabulary Sounds Like It's Trying To Impress Someone": Preservice Teachers' Respond To Ai Reviews Of Their Writing, Jennifer Kidd, Keri Parker, Samantha Myers

Teaching & Learning Faculty Publications

This study examines pre-service teachers’ (PSTs’) responses to using AI to review their writing. As part of a class activity, PSTs prompted an AI-chatbot for feedback and revisions on a short essay based on a provided assignment rubric. Afterward, they reflected on the pros and cons of using AI in this way. While some PSTs initially encountered functionality issues, all were able to obtain feedback and the majority reported finding it useful. In general, the PSTs appreciated AI’s speed and expertise and the potential to customize feedback based on their needs. However, many were skeptical of AI’s evaluation of their …

Immersive Virtual Labs For Enhancing In-Person And Online Education, Yiyang Li, Yuzhong Shen, Charles I. Sukenik

Electrical & Computer Engineering Faculty Publications

Labs play a critical role in science and engineering education, offering practical insights and hands-on experience to students that can't be achieved through theoretical learning alone. With the continuous advancement in technology, education is being reshaped and many universities are now offering online programs. This shift in educational paradigm offers students access to a wider range of academic resources, without being limited by geographical boundaries, time constraints, among others. However, the rise of online education also brings unique challenges, such as lack of face-to-face interaction and limited hands-on learning experiences. Virtual labs, which allow students to conduct experiments in a …

Visual Representation Based Creative Problem Solving (Cps) For Microelectronic Course, Gon Namkoong, Tian Luo

Electrical & Computer Engineering Faculty Publications

Microelectronic technologies become the basis for many modern revolutions and require technological innovation and creative transformation of new knowledge into products. This demands our engineering students to be more innovative and creative than ever. It also requires solid resources and strategies to cultivate higher-order thinking skills for engineering students. Presently, microelectronic course covers a wide range of topic areas, including basic semiconductor, pn junction diode, metal oxide semiconductor field effect transistor (MOSFET) and bipolar junction transistor (BJT) circuits. A traditional teaching strategy in a typical educational setting encompasses instructors delivering lectures to teach the basics and principles of microelectronic devices …

Simulation-Based Adaptive Interface For Personalized Learning Of Ai Fundamentals In Secondary School, Sara Guerreiro-Santalla, Dalila Duraes, Helen Crompton, Paulo Novais, Francisco Bellas

STEMPS Faculty Publications

This paper presents the first results on the validation of a new Adaptive E-learning System, focused on providing personalized learning to secondary school students in the field of education about AI by means of an adaptive interface based on a 3D robotic simulator. The prototype tool presented here has been tested at schools in USA, Spain, and Portugal, obtaining very valuable insights regarding the high engagement level of students in programming tasks when dealing with the simulated interface. In addition, it has been shown the system reliability in terms of adjusting the students’ learning paths according to their skills and …

Ways To Make Cybersecurity Education/Opportunities More Accessible In The Philippine Public School System, Joshua Oania

Cybersecurity Undergraduate Research Showcase

This paper will examine how the Philippines can make cybersecurity education more accessible in their public school system. The solutions it proposes include making cybersecurity a part of the school curriculum, creating summer/internship programs for Junior and Senior High School students in multiple different areas within cybersecurity, and providing basic infrastructure and resources for students to meet their educational needs and aspirations.

Digital Crime Prevention Is Possible, Michael Kennedy

Cybersecurity Undergraduate Research Showcase

Purpose & Objective of paper:

My objective of this research paper is to inform others about the importance of Cybercrime prevention. I shed light on the harsh reality of the internet. This allowed me to showcase efficient methods to protect them from trending digital crimes if they were to occur. Protecting individuals, businesses, and importantly financial losses from phishing, cyberbullying, and non-payment is my ultimate purpose of this paper.

Methods of research:

My methods of research ultimately relied on public resources and books. A major reason why I decided to take that path. None of my peers would have access …

Assessing The Impact Of Substituting Interaction Types: An Empirical Study Of The Interaction Equivalency Theory, Scott Alan Hauert

STEMPS Theses & Dissertations

Multimedia technologies allow instructional designers to transform interpersonal interactions into interactions between learners and content. These learner–content interactions are more scalable in online, asynchronous distance education (DE) than interactions between learners and the instructor or interactions among learners. Additionally, learners sometimes prefer interactions with course content over interactions with their peers and instructor. Studies on learner–learner and learner–instructor interaction provide insight into the preferences and perceived effects of interaction types. However, the literature has not directly discussed the impact on performance resulting from substituting learner–content interaction for learner–learner interaction. This study examined the impact of substituting interaction types on perception …

Investigating The Effect Of Universal Design For Learning On Learner Performance, Engagement, And Self-Efficacy, Ana Elizabeth Redstone

STEMPS Theses & Dissertations

This study sought to address the gap in knowledge about the effect of UDL features on asynchronous online postsecondary learners’ achievement, engagement, and self-efficacy. The study also described a process for redesigning an online course to incorporate UDL components and provided specific examples of the implemented UDL guidelines. The study was conducted in a three-phase multimethod research design, which included quantitative and qualitative data collected from the participants, the learning management system (LMS), and the course instructor.

In collaboration with the course instructor, the researcher redesigned an existing asynchronous online university Computer Science course using UDL guidelines to address learning …

Community College Academic Advisors’ Considerations Of Ethical Issues Related To The Use Of Learning Analytics, Anna Elizabeth Jones

Educational Leadership & Workforce Development Theses & Dissertations

Learning analytics is an emerging trend in American community colleges brought about by technological advancements, institutional accountability, and external pressure on institutions to substantiate and improve learning. Learning analytics can potentially improve student engagement, retention, and success but also possess inherent ethical and legal challenges like student privacy and confidentiality violations and users’ bias and discrimination. Researchers know little about the ethical considerations of advisors who serve diverse student populations enrolled at community colleges, and there is a need to better understand various users’ experiences to mitigate poor ethical use and to protect multiple stakeholders. This multiple case study employed …

Roboboits: A Simulation-Based Tutoring System To Support Ai Education Through Robotics, Sara Guerreiro-Santalla, Helen Crompton, Francisco Bellas

STEMPS Faculty Publications

This paper presents a novel tutoring system to educate pre-university students about AI, a key issue to develop AI in Education for Sustainable Society. With the aim of following a learning-by-doing approach to AI, we decided to focus on robotics as the main application domain for the students’ activities. Specifically, the tutoring system is based on the Robobo educational robot, and its simulation environment. A prototype version of the tutoring system, called RoboboITS, has been released and tested in two in-person sessions with 17 students in a secondary school at Virginia (USA), leading to and promising outcomes for future development.

Lms Problem-Posing Academic Relationships Between Faculty And Students: A Post-Intentional Phenomenological Study Of Dialogical Relationships In Asynchronous Online Courses, Sheri L. Prupis

Educational Leadership & Workforce Development Theses & Dissertations

Drawing on Freire’s Engaged Pedagogy as a theoretical framework, I investigated the manifestation of dialogical relationships between faculty and students in fully asynchronous online courses. Employing a post-intentional phenomenological methodology, I examined how students and faculty held varying expectations for relationships in asynchronous online courses. The findings revealed that while students preferred transactional exchanges, faculty aspired to foster more profound and more enduring relationships with their students. This divergence can be partly attributed to the transactional exchange structure of Learning Management Systems (LMS), which heavily influences how faculty design and deliver courses and how students participate.