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Krzysztof Gurba; Anna Slósarz; Eugenia Smyrnova-Trybulska – International Association for Development of the Information Society, 2024
The content analysis included video lectures posted in 208 MOOCs on the Polish educational platform NAVOICA. The aim was to determine their subject matter and the methods of preparing video lectures. It turned out that video lectures were included in 57% of MOOCs, most often related to "Medical and health sciences" and…
Descriptors: MOOCs, Video Technology, Lecture Method, Visual Aids
Bulathwela, Sahan; Verma, Meghana; Pérez-Ortiz, María; Yilmaz, Emine; Shawe-Taylor, John – International Educational Data Mining Society, 2022
This work explores how population-based engagement prediction can address cold-start at scale in large learning resource collections. The paper introduces: (1) VLE, a novel dataset that consists of content and video based features extracted from publicly available scientific video lectures coupled with implicit and explicit signals related to…
Descriptors: Video Technology, Lecture Method, Data Analysis, Prediction
Zhang, Zhilin; Bhavya, Bhavya; Angrave, Lawrence; Sui, Ruihua; Kooper, Rob; Mahipal, Chirantan; Huang, Yun – Grantee Submission, 2021
Engineering students used ClassTranscribe, an accessible video player, in multiple engineering courses to view course videos and search for video content. The tool collected detailed timestamped student behavioral data from 1,894 students across 25 engineering courses that included what individual students searched for and when. A previous…
Descriptors: Engineering Education, Video Technology, Visual Aids, Search Strategies
Amos, Jennifer R.; Zhang, Zhilin; Angrave, Lawrence; Liu, Hongye; Shen, Yiyin – Grantee Submission, 2021
Among all college students, students with disabilities are particularly at risk due to a high percentage of underreporting. We conducted a survey across many undergraduate courses in engineering and computing at the University of Illinois to identify course components that engage students with and without disabilities. We were motivated to find…
Descriptors: Access to Education, Student Needs, Students with Disabilities, Engineering Education
Lan, Andrew S.; Brinton, Christopher G.; Yang, Tsung-Yen; Chiang, Mung – International Educational Data Mining Society, 2017
We propose a new model for learning that relates video watching behavior and engagement to quiz performance. In our model, a learner's knowledge gain from watching a lecture video is treated as proportional to their latent engagement level, and the learner's engagement is in turn dictated by a set of behavioral features we propose that quantify…
Descriptors: Learner Engagement, Student Behavior, Video Technology, Lecture Method
Angrave, Lawrence; Zhang, Zhilin; Henricks, Genevieve; Mahipal, Chirantan – Grantee Submission, 2019
Lecture material of a sophomore large-enrollment (N=271) system programming 15-week class was delivered solely online using a new video-based web platform. The platform provided accurate accessible transcriptions and captioning plus a custom text-searchable interface to rapidly find relevant video moments from the entire course. The system logged…
Descriptors: Outcomes of Education, Student Behavior, Learning Analytics, Video Technology
Zhu, Jile; Li, Xiang; Wang, Zhuo; Zhang, Ming – International Educational Data Mining Society, 2017
Although millions of students have access to varieties of learning resources on Massive Open Online Courses (MOOCs), they are usually limited to receiving rapid feedback. Providing guidance for students, which enhances the interaction with students, is a promising way to improve learning experience. In this paper, we consider to show students the…
Descriptors: Large Group Instruction, Online Courses, Educational Technology, Technology Uses in Education
Hutt, Stephen; Hardey, Jessica; Bixler, Robert; Stewart, Angela; Risko, Evan; D'Mello, Sidney K. – International Educational Data Mining Society, 2017
We investigate the use of consumer-grade eye tracking to automatically detect Mind Wandering (MW) during learning from a recorded lecture, a key component of many Massive Open Online Courses (MOOCs). We considered two feature sets: stimulus-independent global gaze features (e.g., number of fixations, fixation duration), and stimulus-dependent…
Descriptors: Eye Movements, Attention, Lecture Method, Student Behavior
Potgieter, Amanda S. – Bulgarian Comparative Education Society, 2015
Research on the transition of students into Academia has previously focused on intelligence and effort as determinants of success. In this article I will argue that the liminal experience of transition into the academic environment is enhanced by multi-logic spaces where curiosity and focus are key attributes of the academic literacy classroom. In…
Descriptors: Teaching Methods, Mentors, Lecture Method, Research Methodology
Li, Yuntao; Fu, Chengzhen; Zhang, Yan – International Educational Data Mining Society, 2017
Since MOOC is suffering high dropout rate, researchers try to explore the reasons and mitigate it. Focusing on this task, we employ a composite model to infer behaviors of learners in the coming weeks based on his/her history log of learning activities, including interaction with video lectures, participation in discussion forum, and performance…
Descriptors: Online Courses, Mass Instruction, Student Behavior, Learning Activities
Busch, John; Hanna, Philip; Anderson, Neil – Australian Association for Research in Education, 2015
The continued use of traditional lecturing across Higher Education as the main teaching and learning approach in many disciplines must be challenged. An increasing number of studies suggest that this approach, compared to more active learning methods, is the least effective. In counterargument, the use of traditional lectures are often justified…
Descriptors: Teaching Methods, Lecture Method, Higher Education, Internet
Lindroth, Tomas; Lundin, Johan; Svensson, Lars – International Association for Development of the Information Society, 2013
Laptops and other networked technologies are commonplace at university campuses. While a range of studies researches the negative effects of multitasking, screenpeeking and other laptop related side effects this article emphasize the situational impact of student-laptop interaction. Departing from Goffman's framework on unfocused interaction and…
Descriptors: Laptop Computers, Computer Uses in Education, Educational Technology, Higher Education
Bigenho, Chris; Lin, Lin; Gold, Caroline; Gupta, Arjun; Rawitscher, Lindsay – International Association for Development of the Information Society, 2013
It is common to see students multitasking or switching between different tasks on the computer while also listening to the teacher lecture in the front of a classroom. In today's classrooms, students have much greater control over how they use their time, with the classroom integration of computers and mobile devices combined with social media and…
Descriptors: High School Students, Time Management, Cognitive Processes, Time on Task
Stetz, Thomas A.; Bauman, Antonina A. – Higher Learning Research Communications, 2013
Recent technological developments allow any instructor to create audio and video lectures for the use in online classes. However, it is questionable if it is worth the time and effort that faculty put into preparing those lectures. This paper presents thirteen factors that should be considered before preparing and using audio and video lectures in…
Descriptors: Teaching Methods, Online Courses, Educational Technology, Technology Uses in Education