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Aron Truss; Karen McBride; Hannah Porter; Valerie Anderson; Geraldine Stilwell; Christina Philippou; Andy Taggart – British Journal of Educational Technology, 2024
Effective video resources are assumed to promote learner engagement, but the extent to which this occurs is unclear. This study examines learners' engagement with instructor-generated video. It contributes an analytical synthesis of qualitative and quantitative data that provides the basis for investigating the extent to which, and how, learners…
Descriptors: Learner Engagement, Video Technology, Technology Uses in Education, Educational Technology
Zhai, Xuesong; Xu, Jiaqi; Chen, Nian-Shing; Shen, Jun; Li, Yan; Wang, Yonggu; Chu, Xiaoyan; Zhu, Yumeng – Journal of Educational Computing Research, 2023
Affective computing (AC) has been regarded as a relevant approach to identifying online learners' mental states and predicting their learning performance. Previous research mainly used one single-source data set, typically learners' facial expression, to compute learners' affection. However, a single facial expression may represent different…
Descriptors: Affective Behavior, Nonverbal Communication, Video Technology, Online Courses
Alamäki, Ari V.; Dirin, Amir; Suomala, Jyrki; Rhee, Cheul – Journal of Information Technology Education: Research, 2021
Aim/Purpose: This case study examines students' affective responses to and relationships with two-dimensional (2D) and 360° videos that were experienced with or without low-cost virtual reality (VR) headsets. Background: The prior research on low-cost VR technology is scant. Schools and universities are not financially able to purchase tens or…
Descriptors: Student Experience, Computer Simulation, Video Technology, Educational Technology
Zhuo Wang; Zengzhao Chen; Bin Gong; Zizuo Feng – Education and Information Technologies, 2024
As an important resource in online learning, video lectures have attracted considerable research attention in the impact of teachers' nonverbal guidance behaviors on learning. However, few studies have focused on secondary education, and it remains unclear whether the interaction between different guidance frequencies and types leads to variations…
Descriptors: Foreign Countries, Secondary School Students, Secondary School Teachers, Teacher Role
Nežka Sajincic; Anna Sandak; Amy Simmons; Andreja Istenic – European Journal of Psychology of Education, 2024
The emotional stance of the instructor in an educational video can influence the learning process. For this reason, we checked the first link of the cognitive-affective model of e-learning, namely, whether learners can recognize emotions that an instructor expresses only with their voice. Since English is not the native language for many learners…
Descriptors: Foreign Countries, Native Speakers, Non English Speaking, English (Second Language)
Chavan, Pankaj; Mitra, Ritayan – Journal of Learning Analytics, 2022
The use of online video lectures in universities, primarily for content delivery and learning, is on the rise. Instructors' ability to recognize and understand student learning experiences with online video lectures, identify particularly difficult or disengaging content and thereby assess overall lecture quality can inform their instructional…
Descriptors: Learning Analytics, Video Technology, Lecture Method, Online Courses
Sargent, Julia; Lynch, Shrehan – Technology, Pedagogy and Education, 2021
Digital technology and its use within democratic pedagogy has been an under-researched area in physical education (PE) and higher education (HE). Furthermore, we know little about how democratic assessment methods are experienced by students in HE. As such, this article explores student perceptions and experiences of democratic assessment…
Descriptors: Educational Technology, Technology Uses in Education, Democracy, Student Attitudes
Yu, Ji Hyun; Watson, Sunnie Lee – Open Learning, 2022
This study aims: (1) to investigate the different motivations and perspectives for Massive Open Online Courses (MOOCs) that targeted attitudinal learning outcomes; and (2) to categorise learner profiles in regards to their perceived attitudinal learning gains. Seven hundred and ninety-six learners from three MOOCs participated in an…
Descriptors: Online Courses, Student Attitudes, Learner Engagement, Student Characteristics
Kwet, Michael; Prinsloo, Paul – Teaching in Higher Education, 2020
This article examines developments in the 'smart classroom' as a new frontier for the university. It provides a conceptual map of the scope and limitations of smart classrooms, contextualized to smart university initiatives. First, it introduces the notion of 'smart' technology in cities, campuses, and classrooms. Next, it examines how the smart…
Descriptors: Educational Technology, Classroom Environment, Educational Equipment, College Environment
Wang, Cheng-Hung; Lin, Hao-Chiang Koong – International Journal of Distance Education Technologies, 2018
In a traditional class, the role of the teacher is to teach and that of the students is to learn. However, the constant and rapid technological advancements have transformed education in numerous ways. For instance, in addition to traditional, face to face teaching, E-learning is now possible. Nevertheless, face to face teaching is unavailable in…
Descriptors: Educational Technology, Technology Uses in Education, Distance Education, Emotional Response
Cooper, Darren; Higgins, Steve – British Journal of Educational Technology, 2015
The use of instructional videos to teach clinical skills is an ever growing area of e-learning based upon observational learning that is cited as one of the most basic yet powerful learning strategies. The aim of the current study is to evaluate the effectiveness of online instructional videos for the acquisition and demonstration of cognitive,…
Descriptors: Video Technology, Educational Technology, Technology Uses in Education, Teaching Methods
Kai, Shiming; Paquette, Luc; Baker, Ryan S.; Bosch, Nigel; D'Mello, Sidney; Ocumpaugh, Jaclyn; Shute, Valerie; Ventura, Matthew – International Educational Data Mining Society, 2015
Increased attention to the relationships between affect and learning has led to the development of machine-learned models that are able to identify students' affective states in computerized learning environments. Data for these affect detectors have been collected from multiple modalities including physical sensors, dialogue logs, and logs of…
Descriptors: Video Technology, Interaction, Physics, Affective Behavior
Watson, Sunnie Lee – Open Learning, 2017
This case study examines the design and facilitation of a Massive Open Online Course (MOOC) that focused on attitudinal learning about the topic of animal behaviour and welfare. Findings showed that a team of instructors worked together collaboratively towards realising learning goals and found the experience rewarding. While learners had mixed…
Descriptors: Case Studies, Large Group Instruction, Online Courses, Animal Behavior
Yadav, Aman; Phillips, Michael M.; Lundeberg, Mary A.; Koehler, Matthew J.; Hilden, Katherine; Dirkin, Kathryn H. – Journal of Computing in Higher Education, 2011
In this investigation we assessed whether different formats of media (video, text, and video + text) influenced participants' engagement, cognitive processing and recall of non-fiction cases of people diagnosed with HIV/AIDS. For each of the cases used in the study, we designed three informationally-equivalent versions: video, text, and video +…
Descriptors: Student Attitudes, Protocol Analysis, Affective Behavior, Cognitive Processes
Daher, Wajeeh – Journal of Interactive Learning Research, 2011
Researchers point at the importance of emotions and its study in mathematics education. This research examines middle school students' emotions during learning mathematics outdoors using the mobile phone. The constant comparison method was used to analyze 30 middle school students' emotions while carrying out 15 outdoor activities using the mobile…
Descriptors: Foreign Countries, Educational Technology, Middle School Students, Mathematics Education
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