Publication Date
In 2025 | 7 |
Since 2024 | 19 |
Since 2021 (last 5 years) | 34 |
Since 2016 (last 10 years) | 34 |
Since 2006 (last 20 years) | 34 |
Descriptor
Algorithms | 35 |
Ethics | 35 |
Artificial Intelligence | 23 |
Bias | 8 |
Technology Uses in Education | 8 |
Computer Software | 7 |
Learning Analytics | 7 |
Accuracy | 6 |
Decision Making | 6 |
Privacy | 6 |
Computer Mediated… | 5 |
More ▼ |
Source
Author
Abolfazl Asudeh | 1 |
Adam M. Wellstead | 1 |
Alejandrina Cristia | 1 |
Alexandra Morrison | 1 |
Amani Itani | 1 |
Anne B. Reinertsen | 1 |
Anne-Caroline Fiévet | 1 |
Atsushi Shimada | 1 |
Basil Hanafi | 1 |
Bettina Beech | 1 |
Brown, Michael | 1 |
More ▼ |
Publication Type
Journal Articles | 35 |
Reports - Research | 16 |
Reports - Evaluative | 8 |
Reports - Descriptive | 7 |
Information Analyses | 4 |
Opinion Papers | 1 |
Education Level
Higher Education | 11 |
Postsecondary Education | 11 |
Elementary Secondary Education | 1 |
Audience
Researchers | 1 |
Laws, Policies, & Programs
Assessments and Surveys
What Works Clearinghouse Rating
Oscar Blessed Deho; Lin Liu; Jiuyong Li; Jixue Liu; Chen Zhan; Srecko Joksimovic – IEEE Transactions on Learning Technologies, 2024
Learning analytics (LA), like much of machine learning, assumes the training and test datasets come from the same distribution. Therefore, LA models built on past observations are (implicitly) expected to work well for future observations. However, this assumption does not always hold in practice because the dataset may drift. Recently,…
Descriptors: Learning Analytics, Ethics, Algorithms, Models
Pei Boon Ooi; Graeme Wilkinson – British Journal of Guidance & Counselling, 2025
The advent of generative Artificial Intelligence (AI) systems, such as large language model chatbots, is likely to have a significant impact in psychotherapy and counselling in the future. In this paper we consider the current state of AI in psychotherapy and counselling and the likely evolution of this field. We examine the ethical codes of…
Descriptors: Ethics, Artificial Intelligence, Governance, Computer Mediated Communication
Mirjam Sophia Glessmer; Rachel Forsyth – Teaching & Learning Inquiry, 2025
Generative AI tools (GenAI) are increasingly used for academic tasks, including qualitative data analysis for the Scholarship of Teaching and Learning (SoTL). In our practice as academic developers, we are frequently asked for advice on whether this use for GenAI is reliable, valid, and ethical. Since this is a new field, we have not been able to…
Descriptors: Artificial Intelligence, Research Methodology, Data Analysis, Scholarship
Yin Kiong Hoh – American Biology Teacher, 2025
Artificial intelligence (AI) encompasses the science and engineering behind creating intelligent machines capable of tasks that typically rely on human intelligence, such as learning, reasoning, decision-making, and problem-solving. By analyzing vast amounts of data, identifying patterns, and making predictions that were once impossible, AI has…
Descriptors: Artificial Intelligence, Biological Sciences, Computer Software, Algorithms
Perrotta, Carlo – Learning, Media and Technology, 2023
This article proposes a pragmatic approach to data justice in education that draws upon Nancy Fraser's theory. The main argument is premised on the theoretical and practical superiority of a deontological framework for addressing algorithmic bias and harms, compared to ethical guidelines. The purpose of a deontological framework is to enable the…
Descriptors: Data, Justice, Algorithms, Bias
Youmi Suk; Kyung T. Han – Journal of Educational and Behavioral Statistics, 2024
As algorithmic decision making is increasingly deployed in every walk of life, many researchers have raised concerns about fairness-related bias from such algorithms. But there is little research on harnessing psychometric methods to uncover potential discriminatory bias inside decision-making algorithms. The main goal of this article is to…
Descriptors: Psychometrics, Ethics, Decision Making, Algorithms
Pargman, Teresa Cerratto; McGrath, Cormac; Viberg, Olga; Knight, Simon – Journal of Learning Analytics, 2023
The focus of ethics in learning analytics (LA) frameworks and guidelines is predominantly on procedural elements of data management and accountability. Another, less represented focus is on the duty to act and LA as a moral practice. Data feminism as a critical theoretical approach to data science practices may offer LA research and practitioners…
Descriptors: Learning Analytics, Responsibility, Feminism, Ethics
Farrow, Robert – Learning, Media and Technology, 2023
Explicable AI in education (XAIED) has been proposed as a way to improve trust and ethical practice in algorithmic education. Based on a critical review of the literature, this paper argues that XAI should be understood as part of a wider socio-technical turn in AI. The socio-technical perspective indicates that explicability is a relative term.…
Descriptors: Artificial Intelligence, Algorithms, Computer Uses in Education, Language Usage
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
Hadis Anahideh; Nazanin Nezami; Abolfazl Asudeh – Grantee Submission, 2025
It is of critical importance to be aware of the historical discrimination embedded in the data and to consider a fairness measure to reduce bias throughout the predictive modeling pipeline. Given various notions of fairness defined in the literature, investigating the correlation and interaction among metrics is vital for addressing unfairness.…
Descriptors: Correlation, Measurement Techniques, Guidelines, Semantics
Haijing Tu – Journal on Excellence in College Teaching, 2024
This article explores the efficacy of AI used for teaching and learning tools. First, it examines three critical aspects of AI use in teaching and learning: AI complexity, algorithmic transparency, and AI bias. Second, it reviews recent literature that investigates the benefits and challenges of implementing AI within college classrooms. It…
Descriptors: Technology Uses in Education, Artificial Intelligence, College Instruction, Instructional Effectiveness
Basil Hanafi; Mohammad Ali; Devyaani Singh – Discover Education, 2025
Quantum computing is the beginning of a new age for diverse industries, and educational technologies will significantly benefit from such quantum developments. This is a novel approach, applying quantum algorithms to enhance educational technologies, with no previous studies addressing the integration of quantum computing for personalized…
Descriptors: Educational Technology, Computer Security, Ethics, Algorithms
Cingillioglu, Ilker – International Journal of Information and Learning Technology, 2023
Purpose: With the advent of ChatGPT, a sophisticated generative artificial intelligence (AI) tool, maintaining academic integrity in all educational settings has recently become a challenge for educators. This paper discusses a method and necessary strategies to confront this challenge. Design/methodology/approach: In this study, a language model…
Descriptors: Artificial Intelligence, Essays, Integrity, Cheating
Mathilde Léon; Shoba S. Meera; Anne-Caroline Fiévet; Alejandrina Cristia – Research Ethics, 2024
The last decade has seen a rise in big data approaches, including in the humanities, whereby large quantities of data are collected and analysed. In this paper, we discuss long-form audio recordings that result from individuals wearing a recording device for many hours. Linguists, psychologists and anthropologists can use them, for example, to…
Descriptors: Foreign Countries, Developing Nations, Data Collection, Audio Equipment
Anne B. Reinertsen – Policy Futures in Education, 2025
Digitalization needs to be storied for me to become critical of and creative with its functionings. In today's algorithmic condition, knowledge production and learning are complex posthuman entanglements: the human as materially affective has become fabricated hybrids of organism and machine. Storying is seen as simultaneous processes of…
Descriptors: Algorithms, Story Telling, Technology Uses in Education, Humanization