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Baars, Martine; Viberg, Olga – International Journal of Mobile and Blended Learning, 2022
This paper discusses the possibilities of using and designing mobile technology for learning purposes coupled with learning analytics to support self-regulated learning (SRL). Being able to self-regulate one's own learning is important for academic success but is also challenging. Research has shown that without instructional support, students are…
Descriptors: Electronic Learning, Independent Study, Learning Analytics, Metacognition
Zawilinski, Lisa – New Directions for Teaching and Learning, 2022
This chapter examines specific Universal Design for Learning (UDL) principles, guidelines, and checkpoints that support the removal of barriers to reading to learn efforts. The chapter will also offer practical examples of relevant curricular moves to support student learning from texts.
Descriptors: Access to Education, College Students, Teaching Methods, Barriers
Garcia Coppersmith, Jeannette; Star, Jon R. – Journal of Numerical Cognition, 2022
This study explores student flexibility in mathematics by examining the relationship between accuracy and strategy use for solving arithmetic and algebra problems. Core to procedural flexibility is the ability to select and accurately execute the most appropriate strategy for a given problem. Yet the relationship between strategy selection and…
Descriptors: Mathematics Skills, Learning Strategies, Problem Solving, Arithmetic
Dinsmore, Daniel L.; Fryer, Luke K.; Parkinson, Meghan M. – Theory Into Practice, 2022
The learning styles hypothesis--and particularly the meshing hypothesis--state that learners' preferences about their preferred modality of learning (i.e., visual, aural, or kinesthetic) predict learning gains on academic tasks. Despite the fact that this hypothesis is not borne out by the scientific evidence available to us, it still remains in…
Descriptors: Cognitive Style, Student Characteristics, Educational Research, Beliefs
Rivero, Edward; Gutiérrez, Kris – Journal for the Study of Education and Development, 2022
In this article, we examine how a Latinx eight-year-old child's participation in an online gaming community supported his involvement in a way of learning termed Learning by Observing and Pitching In (LOPI). Specifically, we focus on how the way that the online gaming community was organized allowed the child to be incorporated to contribute to a…
Descriptors: Observation, Community Involvement, Video Games, Internet
Cavalcante-Pimentel, Fernando-Silvio; Morais-Marques, Margarida; Barbosa-de-Sales-Junior, Valdick – Comunicar: Media Education Research Journal, 2022
The relationship between digital games and the mobilization of cognitive and metacognitive learning strategies deserves attention and needs research that contributes to the understanding of how these strategies can favor the teaching and learning processes. This study describes how university students over 18 years of age mobilize cognitive and…
Descriptors: Learning Strategies, Computer Games, College Students, Metacognition
Fan, Yizhou; Lim, Lyn; van der Graaf, Joep; Kilgour, Jonathan; Rakovic, Mladen; Moore, Johanna; Molenaar, Inge; Bannert, Maria; Gaševic, Dragan – Metacognition and Learning, 2022
In recent years, unobtrusive measures of self-regulated learning (SRL) processes based on log data recorded by digital learning environments have attracted increasing attention. However, researchers have also recognised that simple navigational log data or time spent on pages are often not fine-grained enough to study complex SRL processes. Recent…
Descriptors: Metacognition, Measurement, Learning Strategies, Diaries
Winne, Philip H. – Metacognition and Learning, 2022
Metacognition is the engine of self-regulated learning. At the object level, learners seek information and choose learning tactics and strategies they forecast will develop knowledge. At the meta level, learners gather and analyze data about learning events to draw conclusions, such as: Is this tactic a good fit to conditions? Was it effective?…
Descriptors: Metacognition, Learning Strategies, Computer Software, Data Analysis
Sun, Ting; Wang, Chuang; Wang, Yi – Reading and Writing: An Interdisciplinary Journal, 2022
Self-Regulated Strategy Development (SRSD) is a criterion-based teaching approach incorporating explicit and systematic instruction of writing strategies, knowledge or skills, and self-regulation procedures into writing. This study aims to estimate the overall average effect of SRSD on English writing outcomes and to examine the extent to which…
Descriptors: Learning Strategies, Self Control, Writing Improvement, English
Forrest, Sandra – Journal of Research in International Education, 2022
This investigation set out to explore the self-regulated learning strategies implemented by high-achieving International Baccalaureate (IB) Diploma Programme (DP) students and those with learning difficulties in a context in which teachers were developing their practice to better align with IB philosophy. Specifically, I aimed to determine whether…
Descriptors: Independent Study, Advanced Placement Programs, Learning Strategies, Learning Problems
Liebendörfer, Michael; Göller, Robin; Gildehaus, Lara; Kortemeyer, Jörg; Biehler, Rolf; Hochmuth, Reinhard; Ostsieker, Laura; Rode, Jana; Schaper, Niclas – International Journal of Mathematical Education in Science and Technology, 2022
We analyse the predictive power of learning strategies for engineering students' performance in mathematics. Learning strategies play an important role in self-regulated learning. Based on a new learning strategy questionnaire that takes into account the specifics of mathematical learning at universities, we investigated what were the strategies…
Descriptors: Learning Strategies, Engineering Education, Mathematics, College Students
Stephen Miko – ProQuest LLC, 2022
The topic for this study was police cadet perceptions of learning using video simulators. The main research question for this project was: "How are video simulators perceived by police cadets as a learning method at the police academy?" The participants for this qualitative study were 16 recently graduated police cadets from an anonymous…
Descriptors: Police Education, Graduates, Student Attitudes, Computer Simulation
Rémi Dorgnier; Marie Mazerolle; François Maquestiaux; Laurence Picard – Journal of Educational Research, 2025
Recent studies in psychology emphasize the pivotal roles of adopting a growth mindset to enhance students' motivation and employing effective memory strategies to improve memory performance. This study evaluated the impact of a metacognitive intervention that combined the promotion of a growth mindset with the teaching of efficient learning…
Descriptors: Elementary School Students, Student Attitudes, Memory, Learning Strategies
Peer reviewedConrad Borchers; Jeroen Ooge; Cindy Peng; Vincent Aleven – Grantee Submission, 2025
Personalized problem selection enhances student practice in tutoring systems. Prior research has focused on transparent problem selection that supports learner control but rarely engages learners in selecting practice materials. We explored how different levels of control (i.e., full AI control, shared control, and full learner control), combined…
Descriptors: Intelligent Tutoring Systems, Artificial Intelligence, Learner Controlled Instruction, Learning Analytics
Carl Boel; Tijs Rotsaert; Martin Valcke; Tammy Schellens – Journal of Computer Assisted Learning, 2025
Background: As immersive virtual reality (IVR) is increasingly being used by teachers worldwide, it becomes pressing to investigate how this technology can foster learning processes. Several authors have pointed to this need, as results on the effectiveness of IVR for learning are still inconclusive. Objectives: To address this gap, we first…
Descriptors: Artificial Intelligence, Computer Simulation, Learning Strategies, Middle School Students

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