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Viberg, Olga; Engström, Linda; Saqr, Mohammed; Hrastinski, Stefan – Education and Information Technologies, 2022
In order to successfully implement learning analytics (LA), we need a better understanding of student expectations of such services. Yet, there is still a limited body of research about students' expectations across countries. Student expectations of LA have been predominantly examined from a view that perceives students as a group of individuals…
Descriptors: Learning Analytics, Student Attitudes, Expectation, College Students
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Mutimukwe, Chantal; Viberg, Olga; Oberg, Lena-Maria; Cerratto-Pargman, Teresa – British Journal of Educational Technology, 2022
Understanding students' privacy concerns is an essential first step toward effective privacy-enhancing practices in learning analytics (LA). In this study, we develop and validate a model to explore the students' privacy concerns (SPICE) regarding LA practice in higher education. The SPICE model considers "privacy concerns" as a central…
Descriptors: Privacy, Learning Analytics, Student Attitudes, College Students
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Pei, Bo; Xing, Wanli; Wang, Minjuan – Interactive Learning Environments, 2023
Multimodal Learning Analytics (MMLA) has huge potential for extending the work beyond traditional learning analytics for the capabilities of leveraging multiple data modalities (e.g. physiological data, digital tracing data). To shed a light on its applications and academic development, a systematic bibliometric analysis was conducted in this…
Descriptors: Learning Analytics, Bibliometrics, Publications, Citations (References)
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Nissen, Jörgen; Stenliden, Linnéa – Journal of Interactive Learning Research, 2020
In these times, described as an ´post-truth´ era where we are faced with information overload, it is a challenge to help students find relevant information, support their knowledge building and engage them in thinking critically about information and knowledge from different perspectives. This study investigates how a visual analytics interface…
Descriptors: Visualization, Learning Analytics, Statistics, Abstract Reasoning
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Ericsson, Elin; Sofkova Hashemi, Sylvana; Lundin, Johan – Cogent Education, 2023
Speaking in a foreign language is considered challenging to both teach and learn. Virtual humans (VHs), as conversational agents (CAs), provide opportunities to practise speaking skills. Lower secondary school students (N = 25) engaged in an AI-based spoken dialogue system (SDS) and interacted verbally with VHs in simulated everyday-life scenarios…
Descriptors: Artificial Intelligence, English (Second Language), Second Language Learning, Second Language Instruction
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Bodén, Ulrika; Stenliden, Linnéa – Designs for Learning, 2019
This paper investigates the potential aspects of visual literacy that might appear when visual analytics and students interact in social science secondary classrooms. Interacting with visual technology likely demands new forms of literacy as various dimensions of complexity emerge in such learning activities where reading imposes order and…
Descriptors: Foreign Countries, Secondary School Students, Visual Literacy, Learning Analytics
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Tärning, Betty; Lee, Yeon Joo; Andersson, Richard; Månsson, Kristian; Gulz, Agneta; Haake, Magnus – Journal of the Learning Sciences, 2020
Background: Previous research shows that critical constructive feedback, that scaffolds students to improve on tasks, often remains untapped. The paper's aim is to illuminate at what stages students provided with such feedback drop out of feedback processing. Methods: In our model, students can drop out at any of five stages of feedback…
Descriptors: Feedback (Response), Computer Games, Educational Games, Elementary School Students