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Vanessa Serrano; Jordi Cuadros; Laura Fernández-Ruano; Javier García-Zubía; Unai Hernández-Jayo; Francesc Lluch – Technology, Knowledge and Learning, 2025
In science and engineering education, remote laboratories are designed to bring ubiquity to experimental scenarios, by having real laboratories operated through the Internet. Despite that remote laboratories enable the collection of students' work data, the educational use of these data is still underdeveloped. Learning analytics dashboards are…
Descriptors: Learning Analytics, Educational Technology, Distance Education, Science Education
Hedenqvist, Clarissa; Romero, Mario; Vinuesa, Ricardo – Technology, Knowledge and Learning, 2023
This study investigates to which extent students' understanding of the physical phenomenon of torque can be improved through the use of visualization technology, in particular of augmented reality (AR). The students in the first-year course Mechanics I at KTH participated in the study by taking two tests on torque. In between those tests, a…
Descriptors: Mechanics (Process), Engineering Education, Visualization, Scientific Concepts
Teija Paavilainen; Sonsoles López-Pernas; Sanna Väisänen; Sini Kontkanen; Laura Hirsto – Technology, Knowledge and Learning, 2025
In digitalized learning processes, learning analytics (LA) can help teachers make pedagogically sound decisions and support pupils' self-regulated learning (SRL). However, research on the role of the pedagogical dimensions of learning design (LD) in influencing the possibilities of LA remains scarce. Primary school presents a unique LA context…
Descriptors: Learning Analytics, Independent Study, Elementary Education, Instructional Design
Muslim, Arham; Chatti, Mohamed Amine; Schroeder, Ulrik – Technology, Knowledge and Learning, 2022
The demand for Open learning analytics (OLA) has grown in recent years due to the increasing interest in the usage of self-organized, networked, and lifelong learning environments. However, platforms that can deliver an effective and efficient OLA are still lacking. Most OLA platforms currently available do not continuously involve end-users in…
Descriptors: Learning Analytics, Lifelong Learning, Delivery Systems, Ecology
Alyssia M. Miller De Rutté – Technology, Knowledge and Learning, 2024
The field of language learning and technology is an ever-growing field as new technologies are constantly developed, and it is important to understand the impact these new technologies may have on language learning. The purpose of this work-in-progress study was to investigate the effects of virtual reality (VR) simulations on a specific second…
Descriptors: Second Language Learning, Second Language Instruction, Learning Motivation, Computer Simulation
Kasepalu, Reet; Chejara, Pankaj; Prieto, Luis P.; Ley, Tobias – Technology, Knowledge and Learning, 2022
Monitoring and guiding multiple groups of students in face-to-face collaborative work is a demanding task which could possibly be alleviated with the use of a technological assistant in the form of learning analytics. However, it is still unclear whether teachers would indeed trust, understand, and use such analytics in their classroom practice…
Descriptors: Teacher Attitudes, Secondary School Teachers, Technology Uses in Education, Online Systems
Chin, Doris B.; Blair, Kristen P.; Schwartz, Daniel L. – Technology, Knowledge and Learning, 2016
In partnership with both formal and informal learning institutions, researchers have been building a suite of online games, called choicelets, to serve as interactive assessments of learning skills, e.g. critical thinking or seeking feedback. Unlike more traditional assessments, which take a retrospective, knowledge-based view of learning,…
Descriptors: Educational Games, Computer Games, Selection, Problem Solving
Liu, Min; Lee, Jaejin; Kang, Jina; Liu, Sa – Technology, Knowledge and Learning, 2016
Using a multi-case approach, we examined students' behavior patterns in interacting with a serious game environment using the emerging technologies of learning analytics and data visualization in order to understand how the patterns may vary according to students' learning characteristics. The results confirmed some preliminary findings from our…
Descriptors: Case Studies, Student Behavior, Behavior Patterns, Games
Olmanson, Justin; Kennett, Katrina; Magnifico, Alecia; McCarthey, Sarah; Searsmith, Duane; Cope, Bill; Kalantzis, Mary – Technology, Knowledge and Learning, 2016
Once writers complete a first draft, they are often encouraged to evaluate their writing and prioritize what to revise. Yet, this process can be both daunting and difficult. This study looks at how students used a semantic concept mapping tool to re-present the content and organization of their initial draft of an informational text. We examine…
Descriptors: Revision (Written Composition), Editing, Writing Evaluation, Concept Mapping
Pardos, Zachary A.; Whyte, Anthony; Kao, Kevin – Technology, Knowledge and Learning, 2016
In this paper, we address issues of transparency, modularity, and privacy with the introduction of an open source, web-based data repository and analysis tool tailored to the Massive Open Online Course community. The tool integrates data request/authorization and distribution workflow features as well as provides a simple analytics module upload…
Descriptors: Online Courses, Large Group Instruction, Technology Uses in Education, Educational Technology
Liu, Min; Kang, Jina; Zou, Wenting; Lee, Hyeyeon; Pan, Zilong; Corliss, Stephanie – Technology, Knowledge and Learning, 2017
There is much enthusiasm in higher education about the benefits of adaptive learning and using big data to investigate learning processes to make data-informed educational decisions. The benefits of adaptive learning to achieve personalized learning are obvious. Yet, there lacks evidence-based research to understand how data such as user behavior…
Descriptors: College Freshmen, Pharmaceutical Education, Individualized Instruction, Data
Abrahamson, Dor; Gutierrez, Jose; Charoenying, Timothy; Negrete, Andrea; Bumbacher, Engin – Technology, Knowledge and Learning, 2012
How do instructors guide students to discover mathematical content? Are current explanatory models of pedagogical practice suitable to capture pragmatic essentials of discovery-based instruction? We examined videographed data from the implementation of a natural user interface design for proportions, so as to determine one constructivist tutor's…
Descriptors: Mathematics Instruction, Discovery Learning, Tutoring, Teaching Methods

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