User Profiling in a SPOC: A method based on User Video Clickstream Analysis

Belarbi, Naima; Chafiq, Nadia; Talbi, Mohamed; Namir, Abdelwahed; Benlahmar, Elhabib

doi:10.3991/ijet.v14i01.9091

Cited by 16 publications

(5 citation statements)

References 32 publications

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“…These methods can include videos, animations, quizzes, assignments, and online forums, among others. These elements allow students to actively engage with the material, promoting a deeper understanding and retention of information (Belarbi et al, 2019).…”

Section: Content and Course Deliverymentioning

confidence: 99%

A SWOT Analysis of Small Private Online Courses

Dou,

Xu,

Liu

et al. 2024

Journal of Cases on Information Technology

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While some research has been conducted to identify the strengths and weaknesses of Small Private Open Courses (SPOCs), a significant research gap exists in comprehensively examining the opportunities and threats they face. To determine if SPOCs are beneficial to learners, the authors adopted the PRISMA protocol to filter literature for SWOT analysis in SPOCs. The authors identified and analyzed the strengths, weaknesses, opportunities and threats faced by SPOCs using a SWOT analysis method. The strengths of SPOCs include high-quality content and course delivery, accessibility, and personalization. Weaknesses involve lack of social interaction, limited resources, credentialing issues. Their opportunities consist of market growth, collaboration with other institutions, and access to new student markets. Their threats include competition from traditional courses, technology updates, and student privacy concerns.

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Section: Content and Course Deliverymentioning

confidence: 99%

A SWOT Analysis of Small Private Online Courses

Dou,

Xu,

Liu

et al. 2024

Journal of Cases on Information Technology

View full text Add to dashboard Cite

show abstract

“…The quest to research the future truths about the development of new technologies facilitates learning and acquiring knowledge and information. Based on developing an analytical model and strategy to support future endeavors [6]. This inquiry attempts to respond to how Learning Analytics empirical evidence allows practitioners to develop new educational technologies that can face the everchanging environment in a fixed practice model of teaching and learning?…”

Section: Research Questions and Hypothesesmentioning

confidence: 99%

Simple Technology is an Improved Solution for a Post-Pandemic Informative System: A Reference Model

Housni

Talbi

Namir

2021

Int. J. Emerg. Technol. Learn.

Self Cite

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COVID-19 pandemic accelerated the digitalization and the implementation of technological tools to distribute knowledge and content to certify the instructional process's steadiness despite the restrictions posed in many nations worldwide. However, multi-models of development and integrations based on multitudes of theoretical and conceptual frameworks made it difficult for deciders during the year - especially in developing countries - to follow a clear path based on their contextual needs. Based on a literature review and historical Data, Learning Ana-lytics research, and its empirical results, this article proposes a data-analytics model for growth. Training/educational technologies help stakeholders use data as intelligence sources to implement technologies that will improve traditional learning procedures without constraining practices. As a result, the paper also suggests, according to the pragmatic results, a 4-year plan applicable in multidi-mensional contexts to enhance the organization's learning capabilities as a whole unit to face future trials. The return on experience in the last year of the pandemic contracts the methodological basis of results. Furthermore, this manuscript's aim is defined by the urgent necessity of post-pandemic solutions to positively safe-guard the future of keeping the wheel of knowledge running for the learners and warrant upcoming transition into using data as a source of developing new learn-ing technologies.

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“…The main reason for this is that the open-source platforms used to create MOOCs (e.g., edX) automatically record video interactions. Research conducted within the MOOC context has significantly contributed to our understanding of how MOOC learners interact with videos (Kim et al, 2014) and helped identify distinct student profiles based on their video-engagement behaviors (Belarbi et al, 2019). The insights gained from previous studies have offered important implications for the design of instructional videos and the implementation of video-based learning (Guo et al, 2014).…”

Section: Introductionmentioning

confidence: 99%

Decoding Video Logs: Unveiling Student Engagement Patterns in Lecture Capture Videos

Akçapınar,

Er,

Bayazıt

2024

IRRODL

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Lecture capture videos, a popular type of instructional content used by instructors to share course recordings online, play a significant role in educational settings. Compared to other educational videos, these recordings require minimal time and effort to produce, making them a preferred choice for disseminating course materials. Despite their numerous benefits, there exists a scarcity of data-driven evidence regarding students’ use of and engagement with lecture capture videos. Most existing studies rely on self-reported data, lacking comprehensive insights into students’ actual video engagement. This research endeavor sought to bridge this gap by investigating university students’ engagement patterns while watching lecture capture videos. To achieve this objective, we conducted an analysis of a large-scale dataset comprising over one million rows of video interaction logs. Leveraging clustering and process mining methodologies, we explored the data to reveal valuable insights into students’ video engagement behaviors. Our findings indicate that in approximately 60% of students’ video-watching sessions, only a small portion of the videos (an average of 7%) is watched. Our results also show that visiting the video page does not necessarily mean that the student watched it. This study may contribute to the existing literature by providing robust data-driven evidence on university students’ lecture capture video engagement patterns. It is also expected to contribute methodologically to capturing, preprocessing, and analyzing students’ video interactions in different contexts.

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User Profiling in a SPOC: A method based on User Video Clickstream Analysis

Cited by 16 publications

References 32 publications

A SWOT Analysis of Small Private Online Courses

A SWOT Analysis of Small Private Online Courses

Simple Technology is an Improved Solution for a Post-Pandemic Informative System: A Reference Model

Decoding Video Logs: Unveiling Student Engagement Patterns in Lecture Capture Videos

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