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Clemens Drieschner; Ferdinand Xiong; Florian Bajraktari; Matthias C. Utesch; Jorg Weking; Helmut Krcmar – IEEE Transactions on Learning Technologies, 2025
The growing demand for sustainable products and services has led to the emergence of a range of entrepreneurial opportunities for innovative business solutions. These new opportunities require novel entrepreneurial skills to design, grow, and maintain sustainable businesses. However, existing educational games do not address the specific skills…
Descriptors: High School Students, Game Based Learning, Games, Entrepreneurship
Saurav Shrestha; Yongwei Shan; Robert Emerson; Zahrasadat Hosseini – IEEE Transactions on Learning Technologies, 2025
This article introduces the development process of social presence-enabled augmented reality (SPEAR) tool, an innovative augmented reality (AR) based learning application tailored for online engineering education. SPEAR focuses on a learning module of structural beam-bending, empowering users to seamlessly integrate 3-D virtual beams into their…
Descriptors: Computer Simulation, Educational Technology, Online Courses, Engineering Education
Rafael Herrero-Álvarez; Rafael Arnay; Eduardo Segredo; Gara Miranda; Coromoto Leon – IEEE Transactions on Learning Technologies, 2025
RoblockLLy is an educational robotics simulator designed for primary and secondary school students, whose goal is to increase their interest in science, technology, engineering, and mathematics. In the particular case of computer science, it allows developing computational thinking skills. It has been designed with ease of use in mind. This free…
Descriptors: Secondary School Students, STEM Education, Computer Science Education, Robotics
Hao Zhou; Wenge Rong; Jianfei Zhang; Qing Sun; Yuanxin Ouyang; Zhang Xiong – IEEE Transactions on Learning Technologies, 2025
Knowledge tracing (KT) aims to predict students' future performances based on their former exercises and additional information in educational settings. KT has received significant attention since it facilitates personalized experiences in educational situations. Simultaneously, the autoregressive (AR) modeling on the sequence of former exercises…
Descriptors: Learning Experience, Academic Achievement, Data, Artificial Intelligence
Weijiao Huang; Khe Foon Hew – IEEE Transactions on Learning Technologies, 2025
In an online learning environment, both instruction and assessments take place virtually where students are primarily responsible for managing their own learning. This requires a high level of self-regulation from students. Many online students, however, lack self-regulation skills and are ill-prepared for autonomous learning, which can cause…
Descriptors: Independent Study, Interpersonal Relationship, Electronic Learning, Computer Software
Philemon Yalamu; Abdullah Al Mahmud; Caslon Chua – IEEE Transactions on Learning Technologies, 2025
Cultural differences can impact how learning is delivered in higher education. Past studies have overlooked the impacts of specific cultures on learning and technology integration, and therefore, this article explores aspects of culture and resource implications for technology-enabled learning. The study collected data from students, lecturers,…
Descriptors: Cultural Differences, College Students, Student Attitudes, Teacher Attitudes
Pallavi Singh; Phat K. Huynh; Dang Nguyen; Trung Q. Le; Wilfrido Moreno – IEEE Transactions on Learning Technologies, 2025
In organizational and academic settings, the strategic formation of teams is paramount, necessitating an approach that transcends conventional methodologies. This study introduces a novel application of multicriteria integer programming (MCIP), which simultaneously accommodates multiple criteria, thereby innovatively addressing the complex task of…
Descriptors: Teamwork, Group Dynamics, Research Design, Models
Jamie I. Cross; Christine C. Boag-Hodgson – IEEE Transactions on Learning Technologies, 2025
The incorporation of immersive technologies into student pilot training has been hindered by a lack of empirical evidence to support their efficacy. Existing research on virtual reality flight simulators is limited in scope, predominantly focused on single-users in small, piston-engine aircraft, with little concern for its application to…
Descriptors: Flight Training, Aviation Education, Job Training, Air Transportation
Nicolas Pope; Juho Kahila; Henriikka Vartiainen; Matti Tedre – IEEE Transactions on Learning Technologies, 2025
The rapid advancement of artificial intelligence and its increasing societal impacts have turned many computing educators' focus toward early education in machine learning (ML). Limited options for educational tools for teaching novice learners about the mechanisms of ML and data-driven systems presents a recognized challenge in K-12 computing…
Descriptors: Artificial Intelligence, Computer Oriented Programs, Computer Science Education, Grade 4
Malte Rolf Teichmann – IEEE Transactions on Learning Technologies, 2025
Due to the rise of virtual reality and the--at least now--hypothetical construct of the Metaverse, learning processes are increasingly transferred to immersive virtual learning environments. While the literature provides few design guidelines, most papers miss an application and evaluation description of the design and development processes. As a…
Descriptors: Instructional Design, Computer Simulation, Educational Environment, Learning Processes
Liang Zhang; Jionghao Lin; John Sabatini; Conrad Borchers; Daniel Weitekamp; Meng Cao; John Hollander; Xiangen Hu; Arthur C. Graesser – IEEE Transactions on Learning Technologies, 2025
Learning performance data, such as correct or incorrect answers and problem-solving attempts in intelligent tutoring systems (ITSs), facilitate the assessment of knowledge mastery and the delivery of effective instructions. However, these data tend to be highly sparse (80%90% missing observations) in most real-world applications. This data…
Descriptors: Artificial Intelligence, Academic Achievement, Data, Evaluation Methods
Amarpreet Gill; Derek Irwin; Linjing Sun; Dave Towey; Gege Zhang; Yanhui Zhang – IEEE Transactions on Learning Technologies, 2025
The rapid changes in technology available for teaching and learning have led to a wide variety of potential tools that can be deployed to support a student's education experience. This article examines the learning interfaces for pedagogical virtual reality (VR) environments, including immersive VR (iVR). It also looks at how microlearning (ML)…
Descriptors: Computer Simulation, Learning Activities, Electronic Learning, Learning Modules
Jialun Pan; Zhanzhan Zhao; Dongkun Han – IEEE Transactions on Learning Technologies, 2025
Properly predicting students' academic performance is crucial for elevating educational outcomes in various disciplines. Through precise performance prediction, schools can quickly pinpoint students facing challenges and provide customized educational materials suited to their specific learning needs. The reliance on teachers' experience to…
Descriptors: Prediction, Academic Achievement, At Risk Students, Artificial Intelligence
Ronak R. Mohanty; Peter Selly; Lindsey Brenner; Shantanu Vyas; Cassidy R. Nelson; Jason B. Moats; Joseph L. Gabbard; Ranjana K. Mehta – IEEE Transactions on Learning Technologies, 2025
Immersive extended reality (XR) technologies, including augmented reality (AR), virtual reality, and mixed reality, are transforming the landscape of education and training through experiences that promote skill acquisition and enhance memory retention. These technologies have notably improved decision making and situational awareness in public…
Descriptors: Technology Integration, Artificial Intelligence, Safety Education, Instructional Design
Ka-Yan Fung; Kwong-Chiu Fung; Tze Leung Rick Lui; Kuen-Fung Sin; Lik-Hang Lee; Huamin Qu; Shenghui Song – IEEE Transactions on Learning Technologies, 2025
Mastering the visually complex characters of the Chinese language poses significant challenges for students. The situation is even worse in Hong Kong, where students with different backgrounds, including students with/without dyslexia and non-Chinese speaking (NCS) students, are placed in the same class. Interactive design has been proven…
Descriptors: Foreign Countries, Learning Motivation, Native Language Instruction, Mandarin Chinese