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García-Orosa, Berta; Canavilhas, João; Vázquez-Herrero, Jorge – Comunicar: Media Education Research Journal, 2023
The influence of algorithms on society is increasing due to their growing presence in all areas of daily life. Although we are not always aware of it, they sometimes usurp the identity of other social actors. The main purpose of this article is to address the meta-research on the field of artificial intelligence and communication from a holistic…
Descriptors: Algorithms, Artificial Intelligence, Communications, Holistic Approach
Thompson, Terrie Lynn; Prinsloo, Paul – Learning, Media and Technology, 2023
Learning analytics offer centralization of a particular understanding of learning, teaching, and student support alongside data-informed insight and foresight. As such, student-related data in higher education can be imagined and enacted as a 'data frontier' in which the data gaze is expanding, intensifying, and performing new meanings and…
Descriptors: Learning Analytics, Data, Activism, Higher Education
MOOC Student Dropout Prediction Model Based on Learning Behavior Features and Parameter Optimization
Jin, Cong – Interactive Learning Environments, 2023
Since the advent of massive open online courses (MOOC), it has been the focus of educators and learners around the world, however the high dropout rate of MOOC has had a serious negative impact on its popularity and promotion. How to effectively predict students' dropout status in MOOC for early intervention has become a hot topic in MOOC…
Descriptors: MOOCs, Potential Dropouts, Prediction, Models
Lonneke Boels; Alex Lyford; Arthur Bakker; Paul Drijvers – Frontline Learning Research, 2023
Many students persistently misinterpret histograms. Literature suggests that having students solve dotplot items may prepare for interpreting histograms, as interpreting dotplots can help students realize that the statistical variable is presented on the horizontal axis. In this study, we explore a special case of this suggestion, namely, how…
Descriptors: Data Interpretation, Interpretive Skills, Statistical Distributions, Graphs
Amel Awadelkarim – ProQuest LLC, 2023
With the rise in popularity of social media and e-commerce platforms, "discrete math" is at the heart of our online experiences, playing a front-end role in the recommendation of what to click, watch, or buy, or who to follow or friend, as well as a back-end role in data storage, access, and transfer. This thesis focuses on two such…
Descriptors: Algorithms, Mathematical Models, Statistics, Mathematical Applications
Johri, Aditya – Research in Learning Technology, 2022
There has been a conscious effort in the past decade to produce a more theoretical account of the use of technology for learning. At the same time, advances in artificial intelligence (AI) are being rapidly incorporated into learning technologies, significantly changing their affordances for teaching and learning. In this article I address the…
Descriptors: Artificial Intelligence, Educational Technology, Technology Uses in Education, Affordances
Coenraad, Merijke – Information and Learning Sciences, 2022
Purpose: Computing technology is becoming ubiquitous within modern society and youth use technology regularly for school, entertainment and socializing. Yet, despite societal belief that computing technology is neutral, the technologies of today's society are rife with biases that harm and oppress populations that experience marginalization. While…
Descriptors: Preadolescents, Childrens Attitudes, Bias, Algorithms
Catherine Barbara Acitelli – ProQuest LLC, 2022
The field of Cryptography is rapidly evolving, and the development of quantum computers is on the rise. Lattice-based cryptosystems are promising candidates for quantum resistance, and it is the responsibility of institutions to prepare students for related careers. Undergraduate students in mathematics and mathematics-adjacent fields can -- and…
Descriptors: Undergraduate Study, Curriculum Design, Technology, Coding
Ilja Cornelisz; Chris van Klaveren – npj Science of Learning, 2022
Longitudinal randomized controlled trials generally assign individuals randomly to interventions at baseline and then evaluate how differential average treatment effects evolve over time. This study shows that longitudinal settings could benefit from "Recurrent Individual Treatment Assignment" ("RITA") instead, particularly in…
Descriptors: Longitudinal Studies, Randomized Controlled Trials, Intervention, Assignments
Natalya A. Shibaeva; Elena A. Zbinyakova; Natalia I. Riabinina; Olga V. Kotlyarova; Elena A. Bobrova – Education in the Asia-Pacific Region: Issues, Concerns and Prospects, 2022
The presentation of new requirements to the process of formation, training, and development of management personnel led to the need to search for modern tools that would allow for the transition from outdated dogmas to the realities of practice-oriented education. Despite this aspect, the conditions of standardization of the educational…
Descriptors: Leadership Training, Administrators, Professional Development, Educational Policy
Diego G. Campos; Tim Fütterer; Thomas Gfrörer; Rosa Lavelle-Hill; Kou Murayama; Lars König; Martin Hecht; Steffen Zitzmann; Ronny Scherer – Educational Psychology Review, 2024
Systematic reviews and meta-analyses are crucial for advancing research, yet they are time-consuming and resource-demanding. Although machine learning and natural language processing algorithms may reduce this time and these resources, their performance has not been tested in education and educational psychology, and there is a lack of clear…
Descriptors: Artificial Intelligence, Algorithms, Computer System Design, Natural Language Processing
Lishan Zhang; Linyu Deng; Sixv Zhang; Ling Chen – IEEE Transactions on Learning Technologies, 2024
With the popularity of online one-to-one tutoring, there are emerging concerns about the quality and effectiveness of this kind of tutoring. Although there are some evaluation methods available, they are heavily relied on manual coding by experts, which is too costly. Therefore, using machine learning to predict instruction quality automatically…
Descriptors: Automation, Classification, Artificial Intelligence, Tutoring
Dyah Worowirastri Ekowati; Toto Nusantara; Makbul Muksar; Dwi Agus Sudjimat – Pegem Journal of Education and Instruction, 2024
In learning mathematics in the 21st century and after the COVID-19 pandemic, a multimodal role in the process of drawing conclusions involving mathematical symbols or signs is very much needed. This process is called multimodal semiotic reasoning. This research aims to study the literature on multimodal semiotic reasoning research articles. Until…
Descriptors: Semiotics, Mathematics Instruction, Mathematics Skills, Databases
Zoltán Kátai; Pálma-Rozália Osztián; David Iclanzan – Education and Information Technologies, 2024
Visual storytelling, particularly through dance choreographies as showcased in previous AlgoRythmics performances, has been effective in communicating relatively straightforward algorithms in an engaging and memorable way. Nevertheless, when addressing complex algorithmic concepts, an approach with greater expressiveness and flexibility becomes…
Descriptors: Algorithms, Story Telling, Methods Courses, Theater Arts
Monika Mladenovic; Žana Žanko; Goran Zaharija – Journal of Educational Computing Research, 2024
The use of a pedagogical approach mediated transfer with the bridging method has been successful in facilitating the transitions from block-based to text-based programming languages. Nevertheless, there is a lack of research addressing the impact of this transfer on programming misconceptions during the transition. The way programming concepts are…
Descriptors: Programming, Misconceptions, Teaching Methods, Computer Science Education

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