Exploring Brisk Teaching AI: A New Frontier for Teachers

In our AI for teaching and learning class, we were tasked with exploring an AI tool we hadn’t used before and reflecting on its potential applications for students and teachers in the classroom. After navigating through the available list of AI tools presented and additional searches online, I came across an AI tool that caught my attention, which is the BriskTeaching AI.

 BriskTeaching AI constitutes an educational platform that provides complimentary AI-driven tools specifically designed to assist instructors and educators in maximizing their daily responsibilities. Brisk is a Chrome extension that integrates seamlessly into a teacher’s existing online practices, providing smooth assistance without introducing additional complications. Through its seamless integration into teachers existing work, Brisk helps to improve efficiency and limit the length of time allocated to administrative tasks.

BriskTeaching AI encompasses several key features that enhance educational experiences through personalized and adaptive learning. This innovative approach leverages advanced technologies to address the diverse needs of students, ultimately improving learning outcomes and teaching efficiency. It instantly turns web content into quizzes, auto-grade assignments, adapts reading levels, saves time, boosts engagement, and transforms teaching!

One unique feature of Brisk Teaching is that it has several AI tools integrated into it. So, it is like a versatile platform that can be used to carry out multiple tasks. Brisk Teaching works seamlessly with web articles, YouTube videos, and Google files, helping teachers automate tasks and generate ideas around a concept. After adding the tool as an extension to my Google Chrome, I opened a YouTube video and then left-clicked on the Brisk logo (which is a black button) displayed towards the bottom right on my screen. Then there is a pop-up box with five basic buttons, which are the go-to tools on the platform. These buttons include create, give feedback, inspect writing, change level, and boost student activity.

  • The create option helps teachers develop educational material by transforming web articles, YouTube videos, and Google files into lesson plans, quizzes, presentations, depth of knowledge questions, science labs, inquiry worksheets, and so on to enhance students engagement. It also has the option of embedding answer keys into quizzes.
  • The app also has a Give Feedback option, which can be used to provide personalized feedback directly in students’ work on Google files based on a rubric/criteria, area of strength, growth, or probing question or to make suggestions for next steps and strategies to build up core skills.
  • In terms of changing level, the app can be used to adjust the reading complexity of an online text depending on the grade/level of a student. It can also be used to translate a text into different languages.
  • The inspect writing option helps to see how students create/put their assignments together, checking possible edits as well as copy and paste done within the assignment.
  • The boost student activity option basically helps turn any online resource into an interactive activity for students. Students or teachers can choose from various options, like a tutor to provide personalized support for student learning, inquiry to help students explore concepts and engage in inquiry activity based on the materials assessed, or a debate activity where students can develop how to build a strong argument, or an activity that can be used to assess students understanding during and after a lesson.
  • It can also be used to manage administrative work such as writing professional emails, reports, cover or recommendation letters, which can give teachers the opportunity to spend time on other things

I think one practical challenge of using this tool is that teachers using other platforms for student assignments might not be able to use some of the features on this app, particularly the feedback option, since it works with Google files. Another significant piece of information is that the app is free (at least for now). I would have discussed privacy as an issue, but looking at how technology is been used from time past, I feel the issue of privacy is not a new concern and will forever remain a problem. However, I feel policies should be developed around how users information on various AI platforms is treated. 

Reflecting on my personal perspective on integrating AI in education, I believe this technology, with other emerging technologies is here to stay. These technologies are changing how we work and the kind of skills needed to navigate our society. So where else can students be exposed to these tools and their related skills if not in schools? However, it is so unfortunate that AI is becoming increasingly pervasive, with many of them not meeting educational requirements/standards.

Even if we accept the use of AI tools in education, I still believe that they should be treated as additional instructional materials just like all other textbooks and instructional aids that teachers use in class. Teachers need to know how to review, adapt, or remix AI-generated ideas to suit their student, classroom, and curriculum context. In addition, students need to be taught how to check/validate AI-generated information. Already I can see that teachers are beginning to use AI to provide customized support to improve students performance. With the use of AI in education, I believe it time for teachers to change how they assess students for exams by focusing on more hands-on, practical assessment as compared to traditional ways of giving them take-home work and all that. More so, I feel assessments should focus more on skills, competencies, and real-life application of what learners have been taught. 

How do you think teachers should assess/evaluate students learning in this era of AI?

Educational Innovation: Using CapCut to Enhance Learning

We live in a world where media have become highly significant, and its importance in education cannot be overstated. As teachers, it becomes very important for us to maximize all forms of technology to make learning interesting, fun, and active. According to the American Society for the Positive Care of Children (American SPCC), digital media not only encourages creative expression but also plays a vital role in building children’s social competencies. Through online platforms, they learn to collaborate, share perspectives, and offer helpful critiques, which promotes empathy and teamwork. Over the past few years, I’ve explored tools like Animoto, Clipchamp, Canva, and Screencastify, among others, for documenting/delivering educational content.

In this post, I will be exploring another commonly used tool by students, which is the CapCut media. CapCut is a video editing tool that can be used on desktops (Windows), mobile, or online browsers. While primarily known for film editing, CapCut offers a user-friendly platform for creating digital animations suitable for online education. This app appears to be commonly used by younger people, and it simplifies video editing with its intuitive features, making it accessible to new app users without prior experience.

 

CapCut has the option of opening a previous project or starting a new project. The web version has several features, including magic tools like text-to-speech, a voice changer, video aspect ratio for resizing, AI video maker, script to video, clips to video, smart vlog, custom voice, video translator, teleprompter, voice recording option, background removal, text to image, avatars, and one-click video creation.

 

 

 

 

 

 

 

 

  • It has a term of policy that users need to consent to before using the app.
  • The user interface is friendly and accessible with intuitive designs that allow users to navigate the app easily. The app also has several templates that can be modified for personal use.
  • One can drag and drop videos and images concurrently and even set timelines to control the duration of how the logo or video appears.You can also create watermarks using the CapCut app.
  • The app also has several video, body, and photo effects that can be applied, ranging from transitions, adjustments, animations, and filters to help enhance the visual quality of the video.
  • In terms of the aspect ratio, one can crop and resize videos or images to fit YouTube, TikTok, or Instagram. One also has the option to create with a custom canvas size depending on the device used.
  • In the adjustment, one can control the resolution, brightness, contrast, saturation, or even playback speed of the video. It also has the preview and export button
  • It also has auto-captioning, which automatically generates subtitles either from video, spoken language, or using AI.
  • Another feature that caught my attention is the audio integration, which allows users to add music and sound effects either by recording, AI-generated music, text-to-audio, or even extracting music from another platform to enhance the storytelling aspect of videos.

In the post How to Use CapCut in the Classroom, the author asserts that the utilization of CapCut as a tool to engage students within the educational setting can significantly enhance creativity and collaboration while simultaneously advancing digital literacy. Furthermore, the implementation of CapCut also renders the learning experience more captivating, thereby facilitating the effective comprehension of the instructional materials presented by educators. While CapCut is a free access tool, it is important to note that some advance features on the app might require a subscription. 

Cracking my weekly SmartPLS data analysis exploration

As indicated at the beginning of this project, my aim is to understand how to use SmartPLS software for sophisticated data analysis like structural equation modeling (SEM). Structural Equation Modeling is commonly employed to explain various statistical relationships concurrently through both visualization and the validation of models. As my learning progressed, I came to understand that there are two distinct types of SEM, which are the PLS-SEM (partial least square structural equation modeling) and the covariance-based structural equation modeling (CB-SEM). However, the choice of which method to use is dependent on the goal of the study.

According to Dash and Paul (2021), PLS-SEM is used when a study is focused on making predictions and theory building, whereas CB-SEM is used when a study is focused on theory testing, confirmation of the hypothesis, and validating model fit. Since the beginning of my project, I have been exploring the PLS-SEM analysis features of the SmartPLS software. One of the instructional resources that made my learning easy was from Dr James Gaskin, a professor of information systems at Brigham Young University (BYU), USA. He also has a wiki page called Gaskination, which contains several contents that simplify the various abstract concepts in SEM. One of the reasons I hold his instructional resources in high regard is due to the numerous insightful concepts he presents and the comprehensive guidance he provides throughout a meticulous SEM procedure, along with numerous pieces of advice and considerations to bear in mind during each stage of the analysis.

When exploring the SmartPLS 4 user interface, I realized that the software has five different analysis models, which are the PLS-SEM, CB-SEM, GSCA (generalized structured component analysis), process, and regression. My previous post has been focused on the PLS-SEM analysis. I just started exploring the CB-SEM analysis, even though findings from what I have read online show that using AMOS or LISREL is more effective for conducting CB-SEM. The latest SmartPLS 4 software has updated features, which can also be used for CB-SEM, as illustrated in the video below.

Just like PLS-SEM approach explored in my previous learning reports, it is also important to always check the quality of my measurement model through the following:

Reliability Tests:

  • Cronbach’s Alpha (α) > 0.7 (Internal consistency)
  • Composite Reliability (CR) > 0.7 (overall construct reliability).

Validity Tests

  • Convergent validity (how well items load onto their constructs)
    • Average Variance Extracted (AVE) > 0.5
  • Discriminant validity (how distinct one construct is from another)
    • Fornell-Larcker Criterion: the square root of AVE for a construct should be greater than its correlations with other constructs.

Another important aspect of my learning is knowing that CB-SEM requires model fit indices to ensure the proposed model aligns with the data. These include the following :

Absolute Fit Indices

  • Chi-square (χ²): Should be non-significant (p > 0.05).
  • Root Mean Square Error of Approximation (RMSEA) < 0.08 (Good fit).
  • Standardized Root Mean Square Residual (SRMR) < 0.08 (Good fit).

Incremental Fit Indices

  • Comparative Fit Index (CFI) > 0.90
  • Tucker-Lewis Index (TLI) > 0.90

Parsimony Fit Indices

  • Adjusted Goodness-of-Fit Index (AGFI) > 0.80

If model fit is poor, one has to  refine it by removing low-loading indicators (< 0.5), or by checking for high modification indices (indicating potential cross-loadings).

 

A perception note on Open Educational Resources

The United Nations Educational, Scientific, and Cultural Organization describes “Open Educational Resources (OER) as “learning, teaching, and research materials in any format and medium that reside in the public domain or are under the copyright that has been released under an open license that permits no-cost access, re-use, re-purpose, adaptation, and redistribution by others” (UNESCO, 2019:5).

Image copied from https://libguides.federation.edu.au/oer

 

 

 

 

 

 

 

 

The OER movement seeks to enhance educational quality and democratize knowledge, to make resources accessible to all learners, to ensure inclusive and equitable quality education, and to promote lifelong learning opportunities for all (SDG 4). OER are not limited to learning content but also include digital tools and other intellectual property that can be used in any context. One key feature of OER is the flexible nature of the materials created, which makes them adaptable to specific needs or contexts.

Image copied from https://libguides.federation.edu.au/oer

As an educator and emerging researcher, I have been privileged to utilize several OERs for my personal development. These resources basically help to increase access to learning and are sometimes used to address issues of cost of textbooks, quality/up-to-date information, and equity, especially for people living in economically disadvantaged communities or those with lower socioeconomic status. A typical example of an OER that I have always used is the PhET interactive simulations, which are provided under the Creative Commons Attribution (CCA). The PhET simulations can be used for teaching science and mathematics across all age groups. One of the reasons I love using PhET interactive simulations is that it bridges issues around lack of laboratory equipment, which tend to hinder students from engaging in experimental activities. More importantly is the fact that the PhET platform is easily accessible online at no cost. It also helps to promote student engagement and enhance teacher’s pedagogy.

The use of open educational resources where teachers are able to retain, reuse, revise, remix, and redistribute materials has opened up more possibilities for teachers’ collaboration on innovative educational practices, resulting in what is referred to as OER-enabled pedagogy (OEP). OEP has been shown to increase how teachers network and collaborate and stimulate reflection on their teaching practices while also creating opportunities to access high-quality, digital teaching materials (Arispe et al., 2023; Wiley & Hilton, 2018). Using OERs becomes valuable, particularly in contexts where resources are lacking or outdated and curricula/course materials are dependent upon decisions imposed by school districts or states. The value of OERs for students with access to them lies in their ability to help students prepare for a topic or lesson in advance, thereby facilitating the learning process, saving instructional time, promoting personalized learning, and potentially improving grades.

Based on the internationally agreed documents led by multilateral organizations like UNESCO and the Commonwealth of Learning (COL), many countries now support the development of OER as a way to provide high-quality learning materials to students and provide primary and secondary education for all while making higher education more affordable (Kanwar, 2015). One particular thing I have noticed is that most of the available OERs seem to be generated more from industrialized/developed countries as compared to developing countries. However, there are claims that a lack of funding opportunities, understanding of copyright, and open licensing could be a potential roadblock to OER development. Another challenge to the adoption of OER could be associated with the fact that many teachers don’t know how to find, use, or create OER effectively, which limits their ability to integrate these resources into their teaching practices. There are schools that lack access to technological resources like internet facilities and IT experts, which can discourage teachers from adopting  OER in their classrooms. I could remember visiting a school that had projectors and computers in the science laboratory but did not have access to the internet or data connectivity. Unfortunately, the school management indicated insufficient funding as a hinderance to teachers use of those resources. Inasmuch as OERs are beneficial, I know that not all students can access these resources, and this can further widen the issue of the digital divide causing educational inequalities. During the class discussion, colleagues mentioned how some teachers are always hesitant to share their materials, and this can also frustrate teachers from adopting OERs.

Reflecting on how OERs can be improved, I think this could include promoting teachers and students to work together in creating OERs, as well as encouraging a collaborative practice among teachers where they are able to share their resources with one another. I also think creating awareness on the benefits of sharing resources within a community of practice could be instrumental in how the use of OERs can be improved.

  • I remember colleagues talking about teachers making money by selling their resources online. How do you think this can be used in improving the development and adoption of OERs?
  • I would also love to know how you are using OER in your classroom as an educator.
  • What role do you think educational stakeholders play in the development and adoption of open educational resources?

References

Arispe, K., Hoye, A., & Palmer, K. (2023). The impact of open educational resource professional development for teachers in secondary education. Open Praxis15(4), 303-313.

Kanwar, A. (2015). Open Education Resources: What, why, how? Available at Commonwealth of Learning Newsletter

United Nations Educational, Scientific and Cultural Organization (2019). Recommendation on Open Educational Resources. Available at Legal Affairs/OER

Wiley, D., & Hilton Iii, J. L. (2018). Defining OER-enabled pedagogy. The International Review of Research in Open and Distributed Learning19(4).

 

My learning progression with SmartPLS

My learning with SmartPLS seems to have been an amazing one. In my last post, I showed how I created my model by importing my data from Google Forms into the Smartpls user interface using the PLS-SEM algorithm. I also remember saying that I was going to interpret the values that were generated from the calculations of the PLS-SEM algorithm. In the below video, I tried explaining the various values in relation to how they should be understood and reported for general understanding. This involves exploring key terms used in explaining the outer model and structure model of the path model generated. I basically learned how to interpret the construct validity and reliability as well as the discriminant validity of the items and constructs used in creating my model.

Remixing Education: An approach to teaching and learning in Digital age

Described image

‘Remixing is tasty’ (Gideon Burton, https://www.flickr.com/ photos/ wakingtiger/ 3156791341, CC BY SA 2.0)

Remixing is the art of copying, adapting, transforming, reorganizing, and/or remaking existing materials to produce something new (Katz, 2024). The process of remixing empowers one to be creative and enhance how they reuse existing materials.

In education, teachers and students depend on several instructional materials to help improve the teaching and learning process. The principle of remixing in education emphasizes the adaptation and integration of existing ideas to enhance curriculum design, pedagogy, and assessment. This allows teachers to modify existing curriculum by engaging in borrowing, adapting, and merging concepts and /or ideas from various sources, including technology, to meet diverse student needs, create innovative learning experiences, and enhance learning outcomes (Meidi Meidi, 2011).  This implies that teachers gather information from multiple resources and adopt or adapt it to their classroom context.

Remixing materials can provide teachers and students with opportunities to access resources without limitations while expanding their applicability, trying to align their teaching with the needs of students and promoting inclusivity (Swancutt et al., 2020). The principles of remixing in an educational context can also help improve students’ ability to navigate, modify, and ethically use digital resources. In addition, it can challenge students to find innovative solutions by remixing and iterating on ideas. In terms of pedagogy, teachers can use their pedagogical content knowledge to critique and possibly adapt their instructional strategies to ensure that the lessons or content they intend to teach are contextually relevant for their students. When teaching, teachers can adapt various techniques and resources they came across from other sources to scaffold teaching and learning activities in their classroom context. Through the use of various scaffolding techniques, teachers can better understand how their instructional modifications and adaptations influence learning, which can, in turn, lead to a more unified approach between how the curriculum is planned and its final implementation in the classroom.

Purple Illustrative: How to Boost Engagement on Social Media Poster by ayodele emehinola

Conversely, while adaptation is essential for meeting diverse needs, it can also lead to inconsistencies in curriculum delivery if not aligned with overarching educational standards. This highlights the need for ongoing professional development and support for teachers in their adaptation efforts.

Remixing assessment practices could involve adjusting assessment policies, documents, contents, and components to align with current real-world educational tools and practices. This could include how teachers repurpose the use of technology to assess how students tell stories, carry out scientific investigations, and develop new artifacts based on existing ideas. It could also include using digital platforms to give students the same worksheets that would have been done traditionally. Doing this will not only assess the students’ subject matter knowledge but also how they navigate the online platform, share ideas or resources online, and all that. However, I believe that how teachers remix educational materials might depend on factors like educational policies, personal beliefs, and possible collaborative frameworks that support teacher adaptation.

The practice of remixing in education is increasingly relevant with the rise of artificial intelligence (AI), which offers tools for educators to reproduce instructional materials and content effectively. Studies have shown how the use of AI teachers can remix established curriculum by incorporating AI tools to support diverse learning needs, particularly in special education contexts (McMahon & Firestone, 2024). Using AI tools to remix learning content has actually promoted the creation of adaptive learning systems that help teachers tailor educational content to individual student needs (Sumartono et al., 2025). Using AI tools has also encouraged collaboration to refine assessment methods, contents, and learning outcomes among teachers.

Benefits of adaptive learning (Image from Anand Choudhary)

To reiterate an argument from the video “Remix is the art of copying”, however, the act of copying has always been stigmatized in education and often associated with negative connotations like plagiarism. However, the use of advanced learning technologies like AI, simulations, coding, and robotics platforms seems to promote more of the process of copying, debugging, and re-creating ideas. Thus, copying can serve as a valuable learning tool, particularly in programming and design contexts.

I think the issue of copying can be right and wrong depending on the context in which it been practiced. In a programming context, it can be used as a constructive tool to help students understand complex concepts. In design thinking, it could enhance creativity and innovation if properly modified to create something new. Nevertheless, I think there is a need for more education or guidelines on the various ways copying can be done correctly and constructively in the form of remixing and incorrectly in forms that can be connoted as wrong intent or academic dishonesty. Remixing can be seen as a legitimate form of creativity and innovation, fostering collaboration rather than discouraging it.

 

References

Lin, H. & Fishman, B. (2009). Scaffolding teacher adaptation by making design intent explicit. In Dimitracopoulou, A., O’Malley, C., Suthers, D., & Reimann, P. (Eds.), Computer Supported Collaborative Learning Practices: CSCL2009 Community Events Proceedings (pp. 159-161). Rhodes, Greece: International Society of the Learning Sciences.

Meidl, T., & Meidl, C. (2011). Curriculum integration and adaptation: Individualizing pedagogy for linguistically and culturally diverse students. Current Issues in Education14(1).

Swancutt, L., Medhurst, M., Poed, S., & Walker, P. (2020). Making adjustments to curriculum, pedagogy and assessment. In Inclusive education for the 21st century (pp. 208-243). Routledge.

Update on my learning project

It has been an awesome experience navigating the SmartPLS platform, and I am happy that I am able to replicate all that I have read and learned in creating a model on this platform. Though I am still reading and interpreting my results, I am quite satisfied with what I have achieved so far. Here is a recording of how I have been able to create a model on the PLS algorithm. I will be exploring Bootstrapping in my next video.

 

 

 

 

 

 

Social media and online extortion: The role of Digital citizenship

Watching the documentary on the story of Amanda Todd made me reflect on a lot of things. I remembered a discussion we had in one of the classes I took in the fall, when somebody had indicated that back in those days, we had children who sometimes engaged in awkward and awful things, and they were able to get away with it. But in the era of technology, it appears that whatever you do and post online always has a way of coming back to you if you are not careful.

I think this is my second time hearing the word Sextortion which the dictionary describes as the practice of extorting money or sexual favors from someone by threatening to reveal evidence of their sexual activity. However, from the definition, I realized that this is not something new or something I am oblivious to. Watching the documentaries  Sextortion of Amanda Todd and Stalking Amanda Todd: The Man in the Shadows shows that this absurd practice of sextortion is becoming more rampant due to social media and online platforms that provide a conducive environment for perpetrators to exploit their potential victims. This is a global online crime that can have tragic consequences, including suicide, long-term trauma, cutting, social isolation, and depression. The anonymity and accessibility of online platforms, including social media and some dating apps, make it easier for perpetrators of this heinous act to initiate schemes often targeted at vulnerable individuals, including teenagers, youth, and members of sexual minority groups who can be easily coerced or exploited.

 

The ongoing report around the use of online platforms and social media for these heinous acts is alarming. For example, the National Crime Agency (NCA) UK reported a higher percentage increase in sextortion reports between 2017 and 2020. In addition, the organization indicated that cases reported to the “US National Center for Missing & Exploited Children (NCMEC) were more than doubled in 2023, rising to 26,718 compared to 10,731 the year before”. The statistical profile of online child sexual exploitation incidents reported in Canada shows a devastating increase in issues related to child pornography. The Internet Watch Foundation also notes that images of child sexual abuse created through sextortion are a significant and growing problem.

Reflecting on all these alarming reports around the dangers of social media and online platforms, especially with regards to sextortion, I feel many of the victims might not be equipped to recognize and respond to concerns around the use of online platforms for some personal and private information due to a lack of awareness and support. One possible way to address this issue among teenagers and vulnerable victims will be to create more awareness and teach various elements of the digital citizenship framework. According to Mike Ribble Digital citizenship is not only about teaching the use of digital tools but also equipping students with knowledge, skills, and practices for guided and safe participation in online space. The Digital Citizenship Education in Saskatchewan Schools and Digital Citizenship Continuum from K–12 serves as a guide that teachers can use to address the dangers associated with the use of social media in the classroom. So, I think teachers can use these guides to promote responsible online behaviour and awareness among students. By integrating digital citizenship education, schools can equip students with the knowledge and skills necessary to navigate the digital landscape safely.

Digital citizenship image captured from agpartseducation.com

There are various resources and lesson plans from common sense education that teachers can use to create engaging activities that highlight the consequences of sharing personal information online, cyberbullying, deep fakes and fake information, use of AI, etc. Looking at the digital framework continuum, I think teachers can also engage students in discussions around the importance of understanding how to communicate and protect oneself in digital spaces. Teachers can also use case studies that allow students to explore scenarios in real-life situations and how to ethically engage in such circumstances. More importantly, I think teachers need to create a safe and supportive learning environment that can make students open up as they learn and engage in activities related to the negative use of social media. I also think having parents awareness programs on the daunting effect of social media on children could go a long way in how parents can help their children outside school. Regardless of the approach used to teach elements of digital citizenship in the classroom, I think this should be done continuously or probably be part of the curriculum so that its importance is reiterated and students can become acquainted with these safe practices.

I know there are cases where some students might still want to explore some gray areas on the use of technology despite warnings, awareness, and teaching. What would you do as a teacher in this regard?

Week 4 update on my SmartPLS application

At the beginning of this course, I indicated that I wanted to learn how to use Smart PLS and possibly the R software for data analysis. During the second week, I explored what smartPLS is about and how to download the software, and I also did some readings. During the third week, I signed up for an online workshop on the R studio, where I learned about the user interface of R studio and how to run some commands. I must tell you that the R software is very difficult to navigate, and I doubt if I can be very efficient in using that software.

However, as I began exploring the SmartPLS user interface, I realized that I needed to familiarize myself with some key ideas and the meaning of some statistical techniques to enable me to explore the assessment model in SmartPLS. These techniques include exploratory factor analysis (EFA), confirmatory factor analysis (CFA), path analysis, and bootstrapping. So I had to check on YouTube as my go-to learning platform.

 

 

To further enhance my learning, I came across this slideshare presentation, Confirmatory factor analysis overview, which also provided guidance on the rule of thumb for factor loadings on a specific model when doing CFA or EFA. I also used Practical Introduction to CFA and explored more on the path analysis using the below YouTube video, and I was able to get a soft copy of the 6th edition of Advanced and Multivariate Statistical Methods. 

I latter realized that I will need a set of data to enable me to explore this software effectively. Why I am busy reading up on the various techniques, I also had to ask a colleague to help me share an online survey I drafted for this purpose.

Just as I said earlier, my goal is to be able to run a sophisticated and complex statistical analysis that involves structural equation modeling. I want to do a video of my learning, but this can only happen when I start running my own model. which I think I will begin in my next phase since the participants that had access to my questionnaire through my colleague have started responding. But I will first need to clean up the data and do a code book from an Excel sheet before transferring the data to the smartPLS platform. This is what my week 5 and 6 update will entail because coding participants responses is a bit of work.

Participatory culture through social media: Impact on Education

According to Jenkin’s theory of participation (2006), participatory culture is defined “as a way in which different people or the society act both as consumers and contributors of meaning and further play a major role in shaping content”. Research shows that people traditionally created and produced their own content before the 19th century. However, the evolution of social media around the 19th century brought about a drastic change in how information is shared and consumed. Looking at the pervasive use of social media platforms in today’s world, participatory culture could refer to a social environment where individuals actively engage in creating, sharing, and collaborating on content, often facilitated by digital platforms. This culture contrasts with traditional media models, promoting democratic participation and collective intelligence.

 

The use of social media platforms like YouTube, TikTok, Instagram and many others has actually reshaped how knowledge is translated and disseminated in education.  In the book History of Intellectual Culture, the authors explained how participatory culture allows diverse voices to contribute to knowledge, challenging traditional hierarchies in education. The authors further argued that The World Wide Web, in particular, has helped to make knowledge “promiscuous, and Wikipedia grows by leaps while research faculty in traditional humanities disciplines remain ambivalent about technological changes. I remember back in my secondary and university days when we only depended on what the teachers handed over to us in the classroom and recommended textbooks. However, this has changed over time as people can easily turn to YouTube for several videos to enhance whatever they have been taught in the classroom.

I have also realized that most educational content and knowledge shared on social media platforms are sourced from several origins and I see this as a great way of providing a more dynamic understanding of the learning process to individuals. I came across a digital textbook on Teaching and Creating with Generative AI around last year. The book was produced as a result of work submitted by students registered in an EdTech program at the University of Saskatchewan. I think this book exemplifies how the participatory culture in that program gave students the opportunity to collaborate among themselves and come up with ideas that were translated into open educational resources that are useful for people navigating that space of AI strategies and applications that can be used for teaching. I think this participatory culture can help teachers integrate new media tools into the curriculum they teach, and this could possibly help improve teacher’s strategies for teaching certain topics or subjects.

https://robe1481.medium.com/social-media-participatory-culture-4e05752ccbf5

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In the article Participatory Culture and Open Educational Resources, the author explains how social media encourages the sharing of resources, enhancing accessibility and fostering a community of learners who contribute to and benefit from collective knowledge; and can also be used as open educational resources to respond to the youth culture based on openness, on social connections, and on networking. Engaging in participatory culture could also be another way of helping students cultivate foundational skills needed to thrive in a digital environment, more like equipping them with digital citizenship skills.

I have learnt a lot through YouTube, and I think the participatory culture on this platform has to do with the ability of experienced people or experts to provide guidance for novices. This could foster a sense of belonging to novices. So, I can say the impact of collaborative culture through social media on education is profound, as it fosters collaborative learning, which caters for diverse educational experiences and enhances student engagement and knowledge construction.