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Isaac N. Treves; Jonathan Cannon; Eren Shin; Cindy E. Li; Lindsay Bungert; Amanda O'Brien; Annie Cardinaux; Pawan Sinha; John D. E. Gabrieli – Journal of Autism and Developmental Disorders, 2024
Some theories have proposed that autistic individuals have difficulty learning predictive relationships. We tested this hypothesis using a serial reaction time task in which participants learned to predict the locations of a repeating sequence of target locations. We conducted a large-sample online study with 61 autistic and 71 neurotypical…
Descriptors: Autism Spectrum Disorders, Adults, Learning Processes, Visual Perception
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Hoa-Huy Nguyen; Kien Do Trung; Loc Nguyen Duc; Long Dang Hoang; Phong Tran Ba; Viet Anh Nguyen – Education and Information Technologies, 2024
This article presents the results of an experiment in personalizing course content and learning activity model tailored for online courses based on students' learning styles. The main research objectives are to design and pilot a model to determine students' learning styles to create personalized online courses. The study also addressed an…
Descriptors: Models, Online Courses, Cognitive Style, Classification
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Abdullahi Yusuf; Norah Md Noor; Shamsudeen Bello – Education and Information Technologies, 2024
Studies examining students' learning behavior predominantly employed rich video data as their main source of information due to the limited knowledge of computer vision and deep learning algorithms. However, one of the challenges faced during such observation is the strenuous task of coding large amounts of video data through repeated viewings. In…
Descriptors: Learning Analytics, Student Behavior, Video Technology, Classification
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Ghada ElSayad – Education and Information Technologies, 2024
In student-centric learning environments, such as blended learning, students' metacognitive self-regulation is required to plan, monitor, and control their learning processes and achieve positive learning outcomes. The lack of metacognitive self-regulation may lead students to encounter difficulties that, eventually, affect their learning…
Descriptors: Undergraduate Students, Student Attitudes, Blended Learning, Metacognition
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Bhagya Maheshi; Wei Dai; Roberto Martinez-Maldonado; Yi-Shan Tsai – Journal of Computer Assisted Learning, 2024
Background: Feedback is central to formative assessments but aligns with a one-way information transmission perspective obstructing students' effective engagement with feedback. Previous research has shown that a responsive, dialogic feedback process that requires educators and students to engage in ongoing conversations can encourage student…
Descriptors: Feedback (Response), Learning Analytics, Dialogs (Language), Learner Engagement
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K. Hodgkin; S. Davis; A. McInch; J. Littlewood – Research in Post-Compulsory Education, 2024
This paper reflects on the delivery of Professional Doctorate programmes from a sample of educational (EdD) and sustainable built environment (DSBE) practitioners at a Welsh University in the United Kingdom (UK). The paper explores the 'learner journey' of a sample of Professional Doctorate students as they navigate their studies during COVID-19…
Descriptors: Foreign Countries, Doctoral Programs, Doctoral Students, Learning Processes
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Sofia Jusslin; Lotta Kaarla; Kaisa Korpinen; Niina Lilja – Modern Language Journal, 2024
There are calls for developing ways to teach language that can inspire and motivate students to study additional languages. While previous research has pointed toward benefits of arts-based activities in language learning, combining language and dance has mainly been studied with younger language learners. Contextualized within the course…
Descriptors: Secondary Education, Intersectionality, Second Language Instruction, Swedish
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Uma Madhu – Higher Education for the Future, 2024
This article discusses the relevance and construction of the concept of 'literariness' within pedagogy for an effective engagement with works of literature and literary theory. By juxtaposing Mikhail Bakhtin's dialogic mode of understanding, with Bhartrhari's doctrine of the "dhvani" and the "sphota," this article attempts to…
Descriptors: Literary Criticism, Literature, Instruction, Learning Theories
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Zachary M. Savelson; Kasia Muldner – Computer Science Education, 2024
Background and Context: Productive failure (PF) is a learning paradigm that flips the order of instruction: students work on a problem, then receive a lesson. PF increases learning, but less is known about student emotions and collaboration during PF, particularly in a computer science context. Objective: To provide insight on students' emotions…
Descriptors: Student Attitudes, Psychological Patterns, Fear, Failure
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Abdessamad Chanaa; Nour-eddine El Faddouli – Journal of Education and Learning (EduLearn), 2024
Adaptive online learning can be realized through the evaluation of the learning process. Monitoring and supervising learners' cognitive levels and adjusting learning strategies can increasingly improve the quality of online learning. This analysis is made possible by real-time measurement of learners' cognitive levels during the online learning…
Descriptors: Electronic Learning, Evaluation Methods, Artificial Intelligence, Taxonomy
Jobin Jose; Alice Joselph; Pratheesh Abraham; Roshna Varghese; Beenamole T.; Sony Mary Varghese; Suby Elizabeth Oommen – Online Submission, 2024
As a major shift in education technologies, Adaptive Learning Systems (ALS) use artificial intelligence and similar technologies, adapting the lessons to the needs of individual students. Emphasizing transformative pedagogy and teaching strategies that transform the learners' cognitive and interactive patterns, this study presents a comprehensive…
Descriptors: Transformative Learning, Bibliometrics, Trend Analysis, Artificial Intelligence
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Elina Malleus; Grete Arro; Triinu Jesmin; Esta Kaal; Mihkel Kangur; Arko Olesk; Liisa Puusepp; Jaanus Terasmaa; Terje Väljataga – Environmental Education Research, 2024
When teaching about complex phenomena (e.g. concepts related to the natural environment), good quality questioning could lead to a more profound conceptual change. However, asking questions that help students to construct new knowledge is a challenge for many educators. To help promote better questioning, we analyzed the kind of questions (N =…
Descriptors: Environmental Education, Concept Formation, Attitude Change, Questioning Techniques
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Andreia Leles; Luciana Zaina; Jose Roberto Cardoso – IEEE Transactions on Education, 2024
The teaching-learning process in engineering aims to meet current societal demands and address real challenges faced by businesses and the job market. Challenge-based learning (CBL) has gained traction as an active and innovative approach in engineering education, introducing real challenges and open questions to the classroom regarding…
Descriptors: Engineering Education, Literature Reviews, Learning Processes, Problem Based Learning
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Rosaline Tandiono – Education and Information Technologies, 2024
This study critically assesses Kahoot!'s effectiveness in enhancing student engagement in online learning environments, filling identified research gaps, such as theoretical gaps, online application challenges, and reliance on quantitative methods. Utilizing semi-structured interviews, it explores the impact of Kahoot! on student engagement,…
Descriptors: Gamification, Electronic Learning, Educational Games, Educational Technology
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Yosef Kasa; Solomon Areaya; Mulugeta Woldemichael – Cogent Education, 2024
This study delves into the correlation between the beliefs of five university mathematics teachers regarding the teaching of mathematics and their instructional practices. Adopting a case study methodology, this research aimed to thoroughly investigate this relationship. The collection of data was carried out through questionnaires, and the…
Descriptors: College Faculty, Teacher Attitudes, Mathematics Instruction, Teaching Methods
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