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Talbi, Omar; Ouared, Abdelkader – Education and Information Technologies, 2022
Determining student motivation within the context of Learning Analytics is fundamental for academic students to realize their educational goals. We aim to perceive the student's motivation state at a high level of abstraction and act accordingly to deal with motivation issues. We investigate how Model-Driven Engineering paradigms capture the…
Descriptors: Goal Orientation, Student Motivation, Learning Analytics, Teaching Methods
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Treice de Oliveira Moreira; Cláudio Azevedo Passos; Flávio Roberto Matias da Silva; Paulo Márcio Souza Freire; Isabel Fernandes de Souza; Cláudia Rödel Bosaipo Sales da Silva; Ronaldo Ribeiro Goldschmidt – Education and Information Technologies, 2024
The problem of propagating disinformation (a.k.a. "fake news") on social media has increased significantly in the last few years. There are several initiatives around the world to combat this serious problem. Maybe the most promising ones involve training people to identify "fake news." The use of digital educational games…
Descriptors: Deception, News Reporting, Misinformation, Portuguese
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Flora Ji-Yoon Jin; Bhagya Maheshi; Roberto Martinez-Maldonado; Dragan Gasevic; Yi-Shan Tsai – Journal of Learning Analytics, 2024
Feedback is essential in learning. The emerging concept of feedback literacy underscores the skills students require for effective use of feedback. This highlights students' responsibilities in the feedback process. Yet, there is currently a lack of mechanisms to understand how students make sense of feedback and whether they act on it. This gap…
Descriptors: Scaffolding (Teaching Technique), Feedback (Response), Learning Analytics, Literacy
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Xi Lin; Ken Luterbach; Kristen H. Gregory; Sarah E. Sconyers – Online Learning, 2024
This study explored the impact of integrating ChatGPT into asynchronous online discussions. The analysis encompassed students' log data from Canvas and their perspectives on using ChatGPT. Results revealed a significant enhancement in overall discussion participation when ChatGPT is encouraged, emphasizing its potential as a catalyst for…
Descriptors: Artificial Intelligence, Computer Software, Teaching Methods, Computer Mediated Communication
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Pishtari, Gerti; Prieto, Luis P.; Rodriguez-Triana, Maria Jesus; Martinez-Maldonado, Roberto – Journal of Learning Analytics, 2022
This research was triggered by the identified need in literature for large-scale studies about the kinds of designs that teachers create for mobile learning (m-learning). These studies require analyses of large datasets of learning designs. The common approach followed by researchers when analyzing designs has been to manually classify them…
Descriptors: Scaling, Classification, Context Effect, Telecommunications
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Valle, Natercia; Antonenko, Pavlo; Valle, Denis; Sommer, Max; Huggins-Manley, Anne Corinne; Dawson, Kara; Kim, Dongho; Baiser, Benjamin – Educational Technology Research and Development, 2021
Based on the achievement goal theory, this experimental study explored the influence of predictive and descriptive learning analytics dashboards on graduate students' motivation and statistics anxiety in an online graduate-level statistics course. Participants were randomly assigned into one of three groups: (1) predictive dashboard; (2)…
Descriptors: Online Courses, Graduate Students, Statistics Education, Anxiety
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Choi, Beomkyu – Journal of Educational Technology, 2022
Online learning has been growing steadily as an essential instructional mode in most higher education settings. In response to its popularity, many studies have been conducted to provide a better understanding of how learning occurs in this environment. Various frameworks and theories have been adopted to examine learning in this environment.…
Descriptors: Online Courses, Asynchronous Communication, Communities of Practice, Metacognition
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Bertrand Schneider; Joseph Reilly; Iulian Radu – Journal for STEM Education Research, 2020
In an increasingly data-driven world, large volumes of fine-grained data are infiltrating all aspects of our lives. The world of education is no exception to this phenomenon: in classrooms, we are witnessing an increasing amount of information being collected on learners and teachers. Because educational practitioners have so much contextual and…
Descriptors: Learning Analytics, Classroom Techniques, Multimedia Materials, Graduate Students
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Lowe, M. Sara; Macy, Katharine V.; Stone, Sean M. – Journal of Information Literacy, 2019
For one-shot instruction sessions, formative assessment is the most feasible method for gathering data to aid contingent teaching, the practice of adapting to learners' needs. Various technologies aid in the quick and efficient gathering of data on student learning in the classroom that can be used for formative assessment. Outside of a library…
Descriptors: Teaching Methods, Audience Response Systems, Learning Analytics, Formative Evaluation
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Gaillat, Thomas; Lafontaine, Antoine; Knefati, Anas – CALICO Journal, 2023
In this article, we focus on the design of a second language (L2) formative feedback system that provides linguistic complexity graph reports on the writings of English for special purposes students at the university level. The system is evaluated in light of formative instruction features pointed out in the literature. The significance of…
Descriptors: Language Proficiency, English (Second Language), Second Language Learning, Second Language Instruction
Steven Moore; John Stamper; Norman Bier; Mary Jean Blink – Grantee Submission, 2020
In this paper we show how we can utilize human-guided machine learning techniques coupled with a learning science practitioner interface (DataShop) to identify potential improvements to existing educational technology. Specifically, we provide an interface for the classification of underlying Knowledge Components (KCs) to better model student…
Descriptors: Learning Analytics, Educational Improvement, Classification, Learning Processes
Craig, Scotty D. – Advanced Distributed Learning Initiative, 2021
The dynamic and high-stakes nature of education and training requires reliance on evidence-based practices and policies to make decisions about technology adoption and implementation. In the report, "Science of Learning and Readiness (SoLaR) Recommendation Report: Science of Learning Practices for Distributed Online Environments"…
Descriptors: Science Education, Learning Readiness, Evidence Based Practice, Check Lists