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Gonzalo Martinez-Munoz; Miguel Angel Alvarez-Rodriguez; Estrella Pulido-Canabate – IEEE Transactions on Education, 2024
In this article, student video visualization profiles are analyzed with two objectives: 1) to identify difficult sections in videos and 2) to predict student performance based on their video visualization profiles. For identifying critical sections in videos two novel indicators are proposed. The first one is designed to measure the complexity of…
Descriptors: Video Technology, Visualization, Electronic Learning, Profiles
Heru Pratomo; Nur Fitriyana; Antuni Wiyarsi; Marfuatun – Journal of Education and Learning (EduLearn), 2025
Students' lack of interest in chemistry becomes a significant issue in chemistry learning. This may be caused by the negative perception of students about their difficulties in learning chemistry. This study aims to explore views and causes of difficulties in learning chemistry from the perspective of secondary school students. This research was…
Descriptors: Secondary School Students, Grade 10, Grade 11, Grade 12
Kerstin Helker; Miguel Bruns; Isabelle M. M. J. Reymen; Jan D. Vermunt – Active Learning in Higher Education, 2025
Responding to calls for more future-oriented teaching and learning, an increasing number of institutions of higher education have recently implemented challenge-based learning (CBL). Through work on open-ended and real-life challenges, CBL aims to stimulate students to take the lead in their own learning, acquire and apply knowledge relevant for…
Descriptors: Problem Based Learning, Learning Processes, Difficulty Level, Higher Education
Xiaodong Wei; Lei Wang; Lap-Kei Lee; Ruixue Liu – Journal of Educational Computing Research, 2025
Notwithstanding the growing advantages of incorporating Augmented Reality (AR) in science education, the pedagogical use of AR combined with Pedagogical Agents (PAs) remains underexplored. Additionally, few studies have examined the integration of Generative Artificial Intelligence (GAI) into science education to create GAI-enhanced PAs (GPAs)…
Descriptors: Artificial Intelligence, Technology Uses in Education, Models, Science Education
Ghanis Putra Widhanarto; Zamzami Zainuddin; Titi Prihatin; Sunawan Sunawan; Amirul Mukminin; Seftia Kusumawardani; Mulawarman Mulawarman – Information and Learning Sciences, 2025
Purpose: This study aims to examine the effectiveness of Web-based interactive (WBI) presentations in reducing students' cognitive load and increasing their situational interest in learning. Traditionally, many learning practices fail to optimize students' cognitive resources by presenting irrelevant content and activities. However, practical…
Descriptors: Internet, Web Based Instruction, Gamification, Cognitive Processes
Alexander Eitel; Marie-Christin Krebs; Claudia Schöne – Educational Psychology Review, 2025
Given the many opportunities for technology use in education nowadays (e.g., Large language models, explainer videos, digital quizzing), teachers should know and rely on evidence-based answers to questions about when, how, and why technology-augmented instruction helps or hinders learning. To date, finding these answers requires integrating…
Descriptors: Predictor Variables, Technology Uses in Education, Educational Technology, Computer Assisted Instruction
Chih-Hung Wu; Vu Tran Ho – Education and Information Technologies, 2025
The present study investigated the potential of ChatGPT in enhancing the learning outcomes and engagement. Data were gathered from a survey of 687 university personnel and higher education students who utilized ChatGPT for educational purposes. The conceptual framework of the study was validated and analyzed using partial least squares structural…
Descriptors: Artificial Intelligence, Technology Uses in Education, Educational Benefits, Learner Engagement
Dean Cairns – Large-scale Assessments in Education, 2025
A considerable body of research on student-led learning focuses on approaches such as inquiry learning in science education. However, the effectiveness of such approaches for developing conceptual understanding is less than certain. One concern is that student-led practices can overload students' working memory and impede their ability to learn…
Descriptors: Cognitive Processes, Difficulty Level, Student Centered Learning, Science Education
Dannie Wammes; Liesbeth Kester; Bert Slof – International Journal of Technology and Design Education, 2025
Hands-on activities promote interest in engineering, but their use in primary education is under pressure due to doubts about their effect on learning. Based on the Challenge Point Framework, we hypothesized that an adaptive approach in which a pupil starts with tasks at its level of prior knowledge would raise the learning results of hands-on…
Descriptors: Difficulty Level, Prior Learning, Elementary School Students, Individualized Instruction
Nathaniel Owen; Ananda Senel – Review of Education, 2025
Transparency in high-stakes English language assessment has become crucial for ensuring fairness and maintaining assessment validity in language testing. However, our understanding of how transparency is conceptualised and implemented remains fragmented, particularly in relation to stakeholder experiences and technological innovations. This study…
Descriptors: Accountability, High Stakes Tests, Language Tests, Computer Assisted Testing
Aan Hendrayana; Anwar Mutaqin – Educational Process: International Journal, 2025
Background/purpose: This study investigates the effectiveness of Problem-Based Learning (PBL) integrated with scaffolding in enhancing problem-solving skills among students with varying levels of prior knowledge. The main objective is to determine how scaffolding, when combined with PBL, can support students in developing stronger problem-solving…
Descriptors: Foreign Countries, Problem Based Learning, Scaffolding (Teaching Technique), Problem Solving
Lisa Carey; William Sadera; Alison Pritchard – Journal of Technology and Teacher Education, 2025
Technology-rich learning environments in which students use digital devices such as laptops and tablets may over-task students' executive functions (EF). However, limited research has examined how well teachers understand these demands or recognize EF-related challenges in digital learning contexts. This study investigated U.S. K-12 teachers'…
Descriptors: Electronic Learning, Cognitive Processes, Difficulty Level, Executive Function
Jake Downs; Chase Young; Alycia Cole – Reading Teacher, 2025
Fluency is a central tenet of productive reading and shares a complex relationship with other reading processes such as reading comprehension, vocabulary, language, and executive functioning. Supporting fluency for upper elementary readers entails unique considerations. In this article, the authors detail how the authors designed an adolescent…
Descriptors: Repetition, Reading Rate, Difficulty Level, Reading Fluency
Hebatalla Nazmy; Merida Valentin-Mendez – Journal of Educational Technology Systems, 2025
Knowledge of building code is required for most building design licenses. However, designers often find the process confusing and overwhelming. The cognitive load theory suggests dividing information between visual and verbal formats reduces working memory burden, while concept mapping and mobile apps enhance learning. This study tests the…
Descriptors: Building Design, Design Requirements, Interior Design, Handheld Devices
Salma Alruthaya; Jessica Mantei; Sonia L. J. White; Lisa Kervin – Australian Journal of Language and Literacy, 2025
Selecting texts that can support young readers is essential work for teachers because the 'right' text provides readers with opportunities to demonstrate their skills, strategies and comprehension. Text complexity guides offer teachers one way to select those texts, but despite these pedagogical supports, many readers continue to struggle with…
Descriptors: Reading Material Selection, Selection Criteria, Difficulty Level, Reading Comprehension

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