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2017
This Editorial describes the main challenges at the intersections between algorithmic cultures and human learning. It briefly analyses papers in this Special Issue of E-learning and Digital Media ‘Learning in the age of algorithmic cultures’ and shows that researchers in the field are still struggling with grand ideas and questions. It suggests that studies of algorithms and learning are in their infancy and emphasizes that they carry potentials to confirm our existing ideas and surprise us with fresh insights.
DIGITAL CULTURE & EDUCATION, 2022
Algorithms are interwoven in the fabric of digital culture. They increasingly mediate our experience of politics, culture, identity, and agency. Building on critical research in other fields, critical educational theorists are exploring the pervasive role of algorithms, AI, and 'smart learning' tools in reshaping what and how we learn. This work is articulating new critical literacies adequate to the challenges of 'algorithmic culture', where algorithms co-produce, with users, differentiated media experiences, knowledge, affinities, and communities, as well as new patterns of identity and embodied action. This article examines how educational theory is responding to the dramatic shifts in digital experience precipitated by algorithmic systems and explores how educators can support students in developing critical literacies and technical skills for navigating emerging algorithmically-mediated worlds. We offer conceptual and pedagogical heuristics to educational researchers and educators for navigating the challenges of algorithmic culture, as well as identify risks associated with the migration of big data techniques into formal educational spaces.
E-Learning and Digital Media, 2017
This article critically explores the ways by which the Web could become a more learning-oriented medium in the age of, but also in spite of, the newly bred algorithmic cultures. The social dimension of algorithms is reported in literature as being a socio-technological entan-glement that has a powerful influence on users' practices and their lived world. They do not only govern what is visible (and inherently, what is obscured), what is valued and noteworthy, but also have the power to enable and assign meaningfulness in managing how information is perceived by users. This incurs a certain knowledge logic which is pervasive in algorithmic culture. This article posits that inquiry about the relation between algorithms and learning needs definitions as well as the stance of not extensively relying on them. When asking what an algorithm is, or how to define the process of learning and knowledge acquisition, one must also keep in mind that a definition is mostly blind to the ambiguity and slipperiness of contexts, hiding the gaps that hinder the objective circumscription of a concept. This article proposes to mind these 'gaps' through discussing controversies that may (or rather actually do) happen regarding contextual or theoretical differences in the interpretation of key concepts such as learning, knowledge and culture. To extend the discussion, I will expose alternative material which allows a wider consideration of the concept of learning and emphasises a dimension of learning seldom taken into account: contex-tual dependence. The chief characteristic of data processed by algorithms being their decontex-tualisation, I will discuss the agonistic relationship that is emerging from learning in the age of algorithmic cultures, to explore the possibilities of bridging the gaps and exploit the valuable resources the Web has to provide to enrich another dimension of learning in our lived world: its contextual relatedness.
Propósitos y Representaciones, 2021
The relevance of this article is due to the need to form and develop algorithmic thinking of higher education students as the main requirement of the information society following 21st century skills and competences for new millennium learners. The purpose of the article is to consider algorithmic thinking as a new dimension of learning in higher education. The leading approach to the study of this problem is the analysis of methodological literature, and the experience of students, teachers, and academic staff. The article considers the essence, main properties, and characteristics of algorithmic thinking, suggests the universal sequence of algorithm development and model of algorithmic thinking as well as determines its importance for any subjects outside the information and communications technology area. The materials of the article can be useful for lecturers, professors, and other academic staff of universities and institutes when studying any subjects related to the basic and...
European Journal of Cultural Studies, 2015
Over the last 30 years or so, human beings have been delegating the work of culture – the sorting, classifying and hierarchizing of people, places, objects and ideas – increasingly to computational processes. Such a shift significantly alters how the category culture has long been practiced, experienced and understood, giving rise to what, following Alexander Galloway, I am calling ‘algorithmic culture’. The purpose of this essay is to trace some of the conceptual conditions out of which algorithmic culture has emerged and, in doing so, to offer a preliminary treatment on what it is. In the vein of Raymond Williams’ Keywords, I single out three terms whose bearing on the meaning of the word culture seems to have been unusually strong during the period in question: information, crowd and algorithm. My claim is that the offloading of cultural work onto computers, databases and other types of digital technologies has prompted a reshuffling of some of the words most closely associated with culture, giving rise to new senses of the term that may be experientially available but have yet to be well named, documented or recorded. This essay, though largely historical, concludes by connecting the dots critically to the present day. What is at stake in algorithmic culture is the gradual abandonment of culture’s publicness and the emergence of a strange new breed of elite culture purporting to be its opposite.
Technology, Pedagogy and Education, 2019
Media and Communication, 2024
This article focuses on young people's understanding of algorithms and their learning methods. While many younger individuals are deeply familiar with digital media, it is erroneous to assume that this familiarity is equivalent to operational or critical knowledge. Given that algorithm awareness has only recently become a topic of debate, daily life practices and knowledge processes need further study, particularly through the lens of audiences. The analysis is based on 42 interviews carried out as part of a project on young people, news, and digital citizenship in Portugal. From the analysis, we came up with five profiles that include different ways of understanding and learning about algorithms: ethereal, ambivalent, unfamiliar, negative, and positive perspectives. Preliminary findings reveal strategies youth employ to bypass the influence of algorithms, with a dominant perspective of learning through the proximity contexts: alone, with social media (TikTok and Instagram), with peers/family, and few cases mentioning school, that surprisingly, is almost absent as a learning atmosphere. Given the newness of the collective awareness of the power of algorithms, the presented scenario claims that we need for a more structural and institutional learning context and response, which could help prevent recurring scenarios akin to digital "bowling alone.
Algorithms, once obscure objects of technical art, have lately been subject to considerable popular and scholarly scrutiny. What does it mean to adopt the algorithm as an object of analytic attention? What is in view, and out of view, when we focus on the algorithm? Using Niklaus Wirth's 1975 formulation that ''algorithms þ data structures ¼ programs'' as a launching-off point, this paper examines how an algorithmic lens shapes the way in which we might inquire into contemporary digital culture.
World Journal on Educational Technology, 2016
Assimilating an algorithmic course is a persistent problem for many undergraduate students. The major problem faced by students is the lack of problem solving ability and flexibility. Therefore, students are generally passive, unmotivated and unable to mobilize all the acquired knowledge (loops, test, variables, etc.) to deal with new encountered problems. Our study is structured around building, step by step, problem solving skills among novice learners. Our approach is based on the use of problem based learning in an e-Learning environment. We begin by establishing a cognitive model which represents knowledge elements, grouped into categories of skills, judged necessary to be appropriated. We then propose a problem built on a concrete situation which aims to actively construct a skill category. We conclude by presenting around the proposed problem a pedagogical scenario for the set of learning activities designed to be incorporated in an E-learning platform.
2024
As most of you know, Barrie Schwortz, Documenting Photographer of the 1978 Shroud of Turin Research Project (STURP) sadly passed away on June 21, 2024. Barrie was founder, editor and publisher of the site www.shroud.com, the internationally-known and most extensive Shroud site on the Internet. In 2009, Barrie formed the 501c3 non-profit organization Shroud of Turin Education and Research Association (STERA), of which he was President. I was one of Barrie’s board members. In late July 2024, board members Russ Breault, Guy Powell and I traveled to Barrie’s home to retrieve all the Shroud material that he had collected over the years and had donated to STERA. It was Russ who suggested to me to disseminate important archival material by posting short articles on academia.edu. Various Shroud researchers arranged for their Shroud collections to be donated to STERA, including the late Raymond N. Rogers, who headed the Chemistry Section of the STURP studies and the late Dr. Robert Dinegar, a chemist who would have headed STURP’s C-14 committee had they been chosen to participate in the 1988 C-14 dating of the Shroud. I now have access to these archives. The material reproduced below was on a flash drive, with the document name “My letter to Pope.” I previously had not seen this letter. Although it is over twenty years old, I think it is important for the historical record. I don’t know for sure, but my guess is that Rogers received no reply. Rogers and I had both been part of the Internet group “Shroud Science Group,” consisting of scientists and researchers from all over the world. In that group and also privately, Rogers had shared some of his important correspondence he had regarding the 1988 dating. I reproduced that correspondence in my 2020 book, The 1988 C-14 Dating Of The Shroud of Turin: A Stunning Exposé. I also published additional information on academia.edu in an article titled “Supplement to (Book) The 1988 C-14 Dating Of The Shroud of Turin: A Stunning Exposé.” Below is the letter from Rogers to the Pope. Barrie told me in the past that Rogers had more integrity than any other scientist that he knew. I find such correspondence ultra interesting because one can get insights and information that one will never find in a peer-reviewed journal paper.
Birgün Pazar 12 Şubat, 2023
Vulva, muito prazer! (Atena Editora), 2024
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