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Deniz Yesi?l; Fatma Bayrak – Open Praxis, 2025
Feedback is a critical component of the learning process and is essential to reinforce the effect of feedback with affective elements. Due to technological developments, providing automated feedback has become easy. Therefore, this study examined the effect of automated elaborated feedback provided with affective feedback on situational intrinsic…
Descriptors: Feedback (Response), Automation, Student Motivation, Self Efficacy
Amina Bashir; Aamir Aziz; Muhammad Imran; Norah Almusharraf – Contemporary Educational Technology, 2025
With technological advancement, multimodality has received paramount importance in teaching and learning. Different technology-based assistance is available nowadays, and computer-assisted language learning (CALL) is one of them. It uses computer-based tools, materials, resources, and information to assist second language learning. Motivation…
Descriptors: Computer Assisted Instruction, Second Language Learning, Learning Motivation, Intention
Bradley Graeme Welch; Juan Carlos Ponce Campuzano – International Journal of Mathematical Education in Science and Technology, 2025
In this paper, we explore how the typical second year undergraduate topic of matrix diagonalisation can be applied to solve a geometric problem which arises frequently in Vector Calculus: to find the curve of intersection of a plane and a surface. We use GeoGebra, which offers a cost-free and dynamic interface, to explore a specific variant of…
Descriptors: Geometry, Computer Software, Computer Assisted Instruction, Undergraduate Students
Wenji Wang; Wenjuan Wang – Journal of Computer Assisted Learning, 2025
Background Study: The combination of artificial intelligence (AI) and foreign language learning is emerging as a significant trend in language education. Objectives: This study aimed to investigate the impact of technology acceptance, attitude and motivation on behavioural intentions regarding the use of AI in language learning. Methods:…
Descriptors: College Students, Student Behavior, Intention, Educational Technology
Dilara Arzugül Aksoy; Engin Kursun; Olaf Zawacki-Richter – Review of Education, 2025
This systematic review aims to examine the factors that impact the sustainability of open educational resources (OER) initiatives. A total of 226 articles from the Web of Science, ERIC and SCOPUS databases were subjected to content analysis to identify factors that influence the sustainability of OER initiatives based on the 3M (macro, meso and…
Descriptors: Open Educational Resources, Sustainability, Higher Education, Context Effect
Marlene Steinbach; Johanna Fleckenstein; Livia Kuklick; Jennifer Meyer – Journal of Computer Assisted Learning, 2025
Background: Providing students with information on their current performance could help them improve by stimulating their reflection, but negative feedback that saliently mirrors task-related failure can harm motivation. In the context of automated scoring based on artificial intelligence, we explored how feedback on written texts might be…
Descriptors: Student Motivation, Academic Achievement, Low Achievement, Feedback (Response)
Zainal Arifin; Budi Setiawan – Educational Process: International Journal, 2025
Background/purpose: This study examines the evolution of information technology-driven learning models aligned with the policies and programs outlined in the strategic plan of the Universitas Pendidikan Indonesia (UPI) aimed at becoming a leading institution. This includes the advancement of information and communication technology-based learning,…
Descriptors: Foreign Countries, Educational Technology, Technology Uses in Education, Learner Engagement
Seuth Borliboune; Kongmengvang Chuechor; Thonglith Vilaysane; Souliya Keovilaysack – Malaysian Online Journal of Educational Sciences, 2025
This study investigates the influence of computer-based simulations on students' academic achievement and attitudes toward learning Direct Current (DC) circuits in physics. A quasi-experimental design was employed, involving 40 secondary school students divided into an experimental group (20 students) and a control group (20 students). The…
Descriptors: Computer Simulation, Physics, Electronic Equipment, Academic Achievement
Yizhou Fan; Luzhen Tang; Huixiao Le; Kejie Shen; Shufang Tan; Yueying Zhao; Yuan Shen; Xinyu Li; Dragan Gaševic – British Journal of Educational Technology, 2025
With the continuous development of technological and educational innovation, learners nowadays can obtain a variety of supports from agents such as teachers, peers, education technologies, and recently, generative artificial intelligence such as ChatGPT. In particular, there has been a surge of academic interest in human-AI collaboration and…
Descriptors: College Students, Writing Achievement, Writing Exercises, Artificial Intelligence
Najim Oumelaid; Brahim El Boukari; Jalila El Ghordaf – Journal of Education and Learning (EduLearn), 2025
This paper presents the findings of a comprehensive experimental study examining the impact of computer-assisted instruction (CAI) compared to traditional teaching methods on learner performance and motivation in mathematics education. The study, conducted with 80 first-year college learners from a primary school in Morocco, aimed to assess the…
Descriptors: Foreign Countries, Computer Assisted Instruction, Conventional Instruction, Student Motivation
Esra Firatli Türker – Journal of Educational Technology and Online Learning, 2024
In this study, the opinions of academics who experienced compulsory distance education due to the COVID-19 pandemic and the February 6 earthquakes were examined regarding the new situations encountered and their experiences. Qualitative methods and phenomenology model were used to conduct the research. Data were collected through a semi-structured…
Descriptors: Foreign Countries, COVID-19, Pandemics, Seismology
Yong Jik Lee; Robert O. Davis – Contemporary Educational Technology, 2024
This research investigated the effects of generative AI on affective factors (motivation, interest, and confidence) of English as a foreign language (EFL) learners enrolled in Korean university-level general English courses. During the Spring 2024 semester, this study involved 89 participants exposed to a generative AI-based instruction model.…
Descriptors: Foreign Countries, English (Second Language), Second Language Learning, Artificial Intelligence
Andrea Révész; Matthew Stainer; Jookyoung Jung; Minjin Lee; Marije Michel – Language Learning & Technology, 2023
Eye-tracking is primarily used as a tool to capture attentional processes in second language (L2) research. However, it is feasible to design visual displays that can react to and interact with eye-movements in technology-mediated contexts. We explored whether gaze-contingency can foster L2 development by drawing attention to novel words…
Descriptors: Eye Movements, Second Language Learning, Second Language Instruction, Attention Control
Duygu Gur; Yalin Kilic Turel – Turkish Online Journal of Distance Education, 2025
Different variables such as motivation, achievement, and engagement have been investigated in studies on gamification in the field of educational technologies. However, the obtained results differ, which emphasizes the need for studies based on concrete findings related to current trends and needs. In this study, we aim to reveal current research…
Descriptors: Educational Research, Gamification, Learner Engagement, Student Motivation
Wissal EL Fougour; Mohamed Erradi – International Journal of Technology in Education, 2025
Feedback is an integral aspect of developing self-regulated learning in that it enables the student an opportunity for reflection, making changes, and learning. The computer-based feedback system supports this systematic review in exploring how improvement in academic performance, metacognitive reasoning, and emotional resilience has taken place…
Descriptors: Computer Assisted Instruction, Feedback (Response), Individualized Instruction, Academic Achievement

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