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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
Xiu-Yi Wu – Education and Information Technologies, 2025
Blended collaborative learning has emerged as an effective pedagogical model that integrates face-to-face and online learning environments, offering a dynamic platform for deep learning--characterized by critical thinking, knowledge synthesis, and application. However, existing research offers mixed findings on how blended collaborative learning…
Descriptors: Blended Learning, Cooperative Learning, Learning Processes, Structural Equation Models
Carl Boel; Tijs Rotsaert; Martin Valcke; Alexander Vanhulsel; Tammy Schellens – Education and Information Technologies, 2024
Students in secondary vocational education often have to learn and practice their skills in potentially dangerous situations, operating complex machinery or working in hazardous conditions. As a consequence, they need to be trained on how to work safely, to respect safety regulations, to wear protective gear and related equipment, to consider…
Descriptors: Instructional Design, Educational Research, Computer Simulation, Educational Games
Lianyu Cai; Mgambi Msambwa Msafiri; Daniel Kangwa – Education and Information Technologies, 2025
This systematic literature review explored the impact of integrating AI tools in higher education using the Zone of Proximal Development (ZPD) by Lev Vygotsky. It examined how AI tools assist the students in identifying and operating within their ZPD, how to create and facilitate a collaborative learning environment, and how to provide the…
Descriptors: Artificial Intelligence, Technology Uses in Education, Technology Integration, Higher Education
Srivatanakul, Thitima – Education and Information Technologies, 2023
Teaching an introductory programming course to first-year students has long been a challenge for many college instructors. The COVID-19 pandemic, which caused unprecedented shifts in learning modality across the globe, has worsened the learning experience of novice programmers. Instructors have to find innovative ways to keep students engaged and…
Descriptors: COVID-19, Pandemics, Blended Learning, College Faculty
Xiao, Jun; Lin, Tzu-Han; Sun-Lin, Hong-Zheng – Education and Information Technologies, 2022
This study aimed to explore the pedagogical dimension of multichannel multimodal learning (MML) and its association with student engagement. Forty-three students from Shanghai Open University participated in the study and their behavioural, emotional, cognitive learning engagement were investigated. Although teaching in the same space, the three…
Descriptors: Learning Modalities, Learning Experience, Learner Engagement, College Students
Lin, Xuefen; Tang, Wei; Ma, Weifeng; Liu, Yang; Ding, Feng – Education and Information Technologies, 2023
The use of video lectures has become a core feature of digital learning, but how the media diversity carried in videos affects learning experience has been rarely studied. Adopting a two-factor experimental design, this study used cognitive style questionnaires, brain wave detection, cognitive load scale, and post-test to explore the impacts of…
Descriptors: Cognitive Style, Learning Experience, Programming, Video Technology
Amoudi, Ghada; Tbaishat, Dina – Education and Information Technologies, 2023
Social network analysis involves delicate and sophisticated mathematical concepts which are abstract and challenging to acquire by traditional methods. Many studies show that female students perform poorly in computer science-related courses compared to male students. To address these issues, this research investigates the impact of employing a…
Descriptors: Computer Science, Graduate Students, Outcomes of Education, Educational Technology
Eda Bakir-Yalçin; Yasemin Koçak Usluel – Education and Information Technologies, 2024
Student engagement is a multidimensional construct, indicates actual learning experiences and is affected by emotions. Negative and positive achievement emotions play an important role in engagement. In the light of Control-Value Theory and the Extended Process Model of Emotion Regulation, a model was developed and tested to investigate the…
Descriptors: Electronic Learning, Learner Engagement, Academic Achievement, Psychological Patterns
Joseph T. Wong; Edward Chen; Natalie Au-Yeung; Bella S. Lerner; Lindsey Engle Richland – Education and Information Technologies, 2024
Traditionally, learning among young students has taken place within structured, physical classroom settings. However, the emergence of distance learning has introduced a diverse range of learning methods, including online, hybrid, and blended approaches. When the COVID-19 pandemic led to extended delays in in-person instruction, use of educational…
Descriptors: Electronic Learning, Learning Experience, Attention Span, Interests
Taw Kuei Chan – Education and Information Technologies, 2024
The synchronous hybrid learning model, which involves simultaneous face-to-face and remote learning, suffers from a disparity in the lesson experience and outcomes provided by the different learning modes. Moreover, the online medium allows little opportunity for teachers to exhibit non-verbal immediacy behaviours to improve cognitive engagement…
Descriptors: Computer Software, Learning Experience, Blended Learning, Teaching Methods
Hajar Majjate; Youssra Bellarhmouch; Adil Jeghal; Ali Yahyaouy; Hamid Tairi; Khalid Alaoui Zidani – Education and Information Technologies, 2025
In recent times, there has been a growing interest in enhancing recommendation systems for e-learning platforms to deliver a personalised learning experience that meets each learner's distinct requirements and preferences. Nevertheless, it is crucial to recognise the ethical considerations surrounding this technology, as it heavily relies on…
Descriptors: Ethics, Artificial Intelligence, Technology Uses in Education, Student Attitudes
Jichao Xue; Jiaxin Liu; Qingshu Yuan; Zhengwei Yao; Jin Xu; Zhigeng Pan – Education and Information Technologies, 2025
To optimize learning experience and improve learning performance, current virtual experimental systems usually assist students with stepwise guidance before operations and feedback after them. However, stepwise and excessive guidance can lead to student overreliance, while late feedback cannot avoid potential errors during experimental learning.…
Descriptors: College Students, Chemistry, Science Instruction, Science Experiments
Tulaskar, Rucha; Turunen, Markku – Education and Information Technologies, 2022
COVID-19 pandemic has affected the entire world in many ways. It has sparked a prominent pedagogical shift for university level students, as it has changed the way students learn, attend classes, or communicate with teachers. Globally, every student is forced to adopt Emergency Remote Learning (ERL) as a result of immediate transformation of…
Descriptors: College Students, Student Attitudes, COVID-19, Pandemics
Huang, Yu-Chih; Backman, Sheila J.; Backman, Kenneth F.; McGuire, Francis A.; Moore, DeWayne – Education and Information Technologies, 2019
With the development and evaluation of information technology, virtual reality technology provides opportunities to offer an immersive and interactive experience for supplementing traditional classroom lecture and creating innovative online learning in education curricula and professional training. Given that the arena of 3D entertainment-oriented…
Descriptors: Self Determination, Learning Motivation, Computer Simulation, Information Technology