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Min, Wookhee; Frankosky, Megan H.; Mott, Bradford W.; Rowe, Jonathan P.; Smith, Andy; Wiebe, Eric; Boyer, Kristy Elizabeth; Lester, James C. – IEEE Transactions on Learning Technologies, 2020
A distinctive feature of game-based learning environments is their capacity for enabling stealth assessment. Stealth assessment analyzes a stream of fine-grained student interaction data from a game-based learning environment to dynamically draw inferences about students' competencies through evidence-centered design. In evidence-centered design,…
Descriptors: Game Based Learning, Student Evaluation, Artificial Intelligence, Models
Editorial Projects in Education, 2024
Technology is transforming the way teachers teach and learn. This Spotlight explores innovative ways to leverage technology to enhance student engagement, personalize instruction, and prepare students for the future. From equitable access to technology and AI-powered tools to drone-based learning and adaptive learning platforms, these articles…
Descriptors: Educational Technology, Technology Uses in Education, Student Needs, Artificial Intelligence
Nazaretsky, Tanya; Ariely, Moriah; Cukurova, Mutlu; Alexandron, Giora – British Journal of Educational Technology, 2022
Evidence from various domains underlines the critical role that human factors, and especially trust, play in adopting technology by practitioners. In the case of Artificial Intelligence (AI) powered tools, the issue is even more complex due to practitioners' AI-specific misconceptions, myths and fears (e.g., mass unemployment and privacy…
Descriptors: Elementary School Teachers, Secondary School Teachers, Teacher Attitudes, Trust (Psychology)
Mogas, Jordi; Palau, Ramon; Fuentes, Marta; Cebrián, Gisela – Learning Environments Research, 2022
The advent of the Fourth Industrial Revolution is introducing developments in Artificial Intelligence, Internet of Things, and other technologies in different sectors of our society, including education. This reality leads to a paradigm shift in which web-based cyber-physical environments will shape future learning environments. Thus, learning…
Descriptors: Foreign Countries, Technology Uses in Education, Artificial Intelligence, Internet
Zhan, Zehui; He, Guoqing; Li, Tingting; He, Luyao; Xiang, Siyu – Journal of Computer Assisted Learning, 2022
Background: Group size is one of the important factors that affect collaborative learning, however, there is no consensus in the literature on how many students should the groups be composed of during the problem-solving process. Objectives: This study investigated the effect of group size in a K-12 introductory Artificial Intelligence course by…
Descriptors: Cognitive Ability, High School Students, Cooperative Learning, Artificial Intelligence
Yuan, Ying – Education and Information Technologies, 2022
In order to understand the real situation of classroom teaching under the environment of information technology and the problems existing in the integration of information technology and curriculum in actual classroom teaching, this paper takes multimedia, interactive electronic whiteboard and Moodle platform as the research and analysis object…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Integrated Learning Systems
Aydin, Sevim; Duman, Emel; Bertiz, Yasemin; Birisçi, Salih – Journal of Educational Technology and Online Learning, 2022
In this study, it was aimed to investigate the change in the conceptual understanding of "artificial intelligence". For this purpose, the determination of the metaphors related to the concept of artificial intelligence in the stages before and after watching the artificial intelligence-themed computer-aided animation developed within the…
Descriptors: Artificial Intelligence, Figurative Language, Animation, Grade 5
Prinsloo, Paul, Ed.; Slade, Sharon, Ed.; Khalil, Mohammad, Ed. – SpringerBriefs in Open and Distance Education, 2022
This book explores and further expands on the rich history of theoretical and empirical research in open and distributed learning, and addresses the impact of the "data revolution" and the emergence of learning analytics on this increasingly diverse form of educational delivery. Following an introductory chapter that maps the book's…
Descriptors: Learning Analytics, Distance Education, Futures (of Society), Teaching Methods
He, Jonathan; Xin, ChunSheng – Journal of Cybersecurity Education, Research and Practice, 2021
Throughout the Internet, many chatbots have been deployed by various organizations to answer questions asked by customers. In recent years, we have been running cybersecurity summer camps for youth. Due to COVID-19, our in-person camp has been changed to virtual camps. As a result, we decided to develop a chatbot to reduce the number of emails,…
Descriptors: Information Security, Computer Security, Computer Software, Summer Programs
Griggs, Dana M.; Crain-Dorough, Mindy – Qualitative Research Journal, 2021
Purpose: The purposes of this paper are to provide a description of AI and to document and compare two applications of AI, one in program evaluation and another in an applied research study. Design/methodology/approach: Focus groups, interviews and observations were used to gather rich qualitative data which was used to detail Appreciative…
Descriptors: Program Evaluation, Artificial Intelligence, Research Methodology, Qualitative Research
Greene Nolan, Hillary; Vang, Mai Chou – Digital Promise, 2023
Providing feedback to students in a sustainable way represents a perennial challenge for secondary teachers of writing. Employing artificial intelligence (AI) tools to give students personalized and immediate feedback holds great promise. Project Topeka offered middle school teachers pre-curated teaching materials, foundational texts and videos,…
Descriptors: Middle School Students, Grade 7, Grade 8, Predictor Variables
Wang, Shuai; Christensen, Claire; Cui, Wei; Tong, Richard; Yarnall, Louise; Shear, Linda; Feng, Mingyu – Interactive Learning Environments, 2023
Adaptive learning systems personalize instruction to students' individual learning needs and abilities. Such systems have shown positive impacts on learning. Many schools in the United States have adopted adaptive learning systems, and the rate of adoption in China is accelerating, reaching almost 2 million unique users for one product alone in…
Descriptors: Comparative Analysis, Teaching Methods, Intelligent Tutoring Systems, Foreign Countries
Antonenko, Pavlo; Abramowitz, Brian – Journal of Research on Technology in Education, 2023
Society's future depends on informed perspectives of Artificial Intelligence (AI) and AI related skills, a prognosis that greatly impacts K-12 education. To best prepare students to be AI savvy, there is a need to integrate AI tools, skills, and lessons into the K-12 curriculum. In order for teachers to develop the knowledge and skills, and have…
Descriptors: Elementary School Teachers, Early Childhood Teachers, Secondary School Teachers, Artificial Intelligence
Traci C. Eshelman – Turkish Online Journal of Educational Technology - TOJET, 2024
The purpose of this multiple intrinsic case study was to describe how Northeastern United States middle school teachers and students engaged with a new automated writing evaluation tool used to score and provide feedback on extended essay assignments to improve teaching and learning writing. Richard Elmore's (1993) instructional core framework is…
Descriptors: High School Teachers, Learner Engagement, Automation, Writing Evaluation
Amanda Barany; Andi Danielle Scarola; Alex Acquah; Sayed Mohsin Reza; Michael A. Johnson; Justice Walker – Information and Learning Sciences, 2024
Purpose: There is a need for precollege learning designs that empower youth to be epistemic agents in contexts that intersect burgeoning areas of computing, big data and social media. The purpose of this study is to explore how "sandbox" or open-inquiry data science with social media supports learning. Design/methodology/approach: This…
Descriptors: Student Empowerment, Data Science, Social Media, Open Education