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Yingbin Zhang; Luc Paquette; Nigel Bosch – International Journal of Artificial Intelligence in Education, 2025
Understanding the transitions among affective states during computer-based learning may guide the design of affect-responsive learning environments. Current studies have focused on the marginal strength of an affect transition, which is the average transition tendency over possible affective states preceding the transition. However, marginal…
Descriptors: Affective Behavior, Emotional Response, Electronic Learning, Learning Experience
Kimberly Maslin; Karen Murcia; Susan Blackley; Geoff Lowe – Australian Educational Researcher, 2025
Fostering young children's creativity is a desired outcome of STEM learning experiences. Such experiences often incorporate hands-on activities that encourage agency, curiosity, and experimentation. While educators generally have a good understanding of how to nurture creativity within a physical learning environment, less is known about…
Descriptors: STEM Education, Creativity, Electronic Learning, Learning Experience
Lianghai Chu – Education and Information Technologies, 2025
The rapid advancement of artificial intelligence (AI) technology has enabled the creation of digital human instructors with human-like visual and verbal characteristics. This study investigates the impact of human likeness on learner satisfaction within e-learning environments, drawing on the "Uncanny Valley" theory and the Experience…
Descriptors: Student Satisfaction, Computer Assisted Instruction, Electronic Learning, Artificial Intelligence
Chun-Mei Chou; Tsu-Chuan Shen; Tsu-Chi Shen – Education and Information Technologies, 2025
AR-supported instruction has been verified to improve students' problem-solving skills. This study investigated 1041 university students and developed an empirical research model that combined technology acceptance, self-regulation, and AR-supported learning effectiveness with the structural equation model (SEM). At the same time, content analysis…
Descriptors: College Students, Student Attitudes, Computer Attitudes, Adoption (Ideas)
Richey, J. Elizabeth; McEldoon, Katherine; Tan, Elaine – Pearson, 2023
Pearson's Learning Foundations describe the optimal conditions for learning and reflect the learner experience Pearson hopes their products will create. Pearson does this by incorporating the Learning Design Principles. Each of the Learning Design Principles goes into detail about a key principle, supporting product design and marketing by…
Descriptors: Theory Practice Relationship, Research and Development, Individualized Instruction, Intelligent Tutoring Systems
Niklas Schneeweiß; Leona Mölgen; Harald Gropengießer – Journal of Biological Education, 2024
Explanation of natural phenomena at one level of biological organisation almost always involves causes that are found at other levels. Although scientists thinking across levels find it easy to explain physiological phenomena, students often perceive this as a challenge. We developed a new graphic organiser called Zoom Map, which is a mode for…
Descriptors: Foreign Countries, High School Students, Science Instruction, Biology
Diego Airado-Rodri´guez; David Mun~oz de la Pen~a; Isabel Dura´n-Mera´s; Jaime Domi´nguez Manzano; Arsenio Mun~oz de la Pen~a – Journal of Chemical Education, 2022
In this paper, the development of an automatic assessor is presented, both in MATLAB and in Excel, for an analytical exercise. In particular, the emulation of an interlaboratory exercise, using the analytical determination of phosphorus in a dry detergent, carried out in the laboratory by different groups of students, was selected as a case of…
Descriptors: Electronic Learning, Chemistry, Evaluation Methods, Computer Assisted Instruction
Yavuz Akbulut; Onur Dönmez; Beril Ceylan; Tayfun Firat – Journal of Computing in Higher Education, 2025
Providing pre-training on new material can simplify complex content for learners who may need guidance to understand basic facts and organize their efforts. However, the effect of pre-training on learning outcomes is controversial because it tends to vary by context. Our aim was to investigate the effectiveness of pre-training in reducing…
Descriptors: Training, Cognitive Processes, Difficulty Level, Academic Achievement
Learners' Experiences in Using Moodle Lesson and H5P Interactive Content in Learning Public Speaking
Umi Kalsom Masrom; Zailani Jusoh; Kamran Mir – MEXTESOL Journal, 2025
The digitalization of teaching continues to shape its future, demanding continuing adaptation to its growing needs. To meet the evolving expectations, many online learning modules have been produced. Nonetheless, many fail to capture learners' interest as they lack creativity since they contain lengthy texts and uninteresting explanatory videos.…
Descriptors: Learning Management Systems, Technology Uses in Education, Public Speaking, Learning Experience
Niroj Dahal; Binod Prasad Pant; Bal Chandra Luitel; Basanta Raj Lamichhane; Tara Paudel – Online Submission, 2024
This research explores two methods through which ten preservice math teachers develop an understanding of trigonometric values. Using the unit circle, preservice math teachers engage in knowledge-building activities such as paper folding and GeoGebra application. Grounded in Altman and Kidron's 2016 didactical design research, this study examines…
Descriptors: Trigonometry, Mathematics Instruction, Preservice Teachers, Mathematics Teachers
Diane P. Montgomery; Kathy Snow – Journal of Teaching and Learning, 2024
During the COVID-19 pandemic, online learning became the predominant mode of learning for 33 to 54% of students in Canada's three largest school boards. As inclusive practices continue to grow and online learning is now part of the Ontario curriculum, educators need guidance on how to support K-12 students with diverse learning needs in online and…
Descriptors: Student Needs, Usability, Electronic Learning, Student Attitudes
Alyssia M. Miller De Rutté – Technology, Knowledge and Learning, 2024
The field of language learning and technology is an ever-growing field as new technologies are constantly developed, and it is important to understand the impact these new technologies may have on language learning. The purpose of this work-in-progress study was to investigate the effects of virtual reality (VR) simulations on a specific second…
Descriptors: Second Language Learning, Second Language Instruction, Learning Motivation, Computer Simulation
Brian Charles Grimm – ProQuest LLC, 2023
Middle school students who need help understanding how to manipulate math expressions involving the negative sign have demonstrated difficulty learning pre-algebra content that prepares them for higher-level math courses. This study involved a multimedia intervention to improve student negative sign proficiency and math self-efficacy. The…
Descriptors: Computer Assisted Instruction, Learning Modules, Algebra, Mathematics Skills
O'Connor, Molly C.; Nelson, Kristen C.; Pradhananga, Amit; Earnest, Megan E. – Journal of Museum Education, 2020
Awareness-making (AM) describes a process by which visitors bring with them past experiences and knowledge, all of which help them make sense of museum exhibits. Meaning-making (MM) is when museum visitors' memories transform their museum experience into new knowledge and meaning. This article explores how AM elicits MM in museum visitors. We…
Descriptors: Museums, Exhibits, Learning Experience, Memory
Amir Reza Rahimi – Computer Assisted Language Learning, 2025
A research study on the L2 Motivational Self-systems (L2MSS) and technology acceptance of Foreign Language Learners (EFL) in relation to Language Massive Open Online Courses (LMOOCs) is warranted. In response, 336 Iranian EFL learners participated in three LMOOC platforms, learned language online in line with their language institutes, and…
Descriptors: English (Second Language), Second Language Learning, Second Language Instruction, MOOCs

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