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Smarandache, Izabella G.; Maricutoiu, Laurentiu P.; Ilie, Marian D.; Iancu, Daniel E.; Mladenovici, Velibor – Higher Education Research and Development, 2022
Existing science evidence sustained that students' preferences for a learning approach (i.e., deep or surface learning) depend on several contextual variables. In this study, we used the network psychometrics perspective to investigate the interactions between the elements that define students' learning preferences. We aimed to understand which…
Descriptors: Student Behavior, College Students, Learning Strategies, Cognitive Style
Li, Boli; Burke, Jenene; Plunkett, Margaret – Issues in Educational Research, 2022
Despite the COVID-19 pandemic, Chinese international students (CIS) still constitute the largest international population in Australian higher education. Yet limited research has examined the lived learning experience of CIS and local students in Australian universities. Underpinned by Biggs, Kember and Leung's (2001) 3P model of learning, this…
Descriptors: Foreign Students, College Students, Asians, Foreign Countries
Qadach, Mowafaq; Schechter, Chen; Da'as, Rima'a – International Journal of Educational Management, 2022
Purpose; This study explores a conceptual framework that addresses a school principal's self-regulated learning (SPSRL) as well as possible avenues for future conceptualization of, and research into this issue. Design/methodology/approach: The conceptual framework of SPSRL is based on an extensive literature review of the research on student's and…
Descriptors: Principals, Independent Study, Self Evaluation (Individuals), Learning Strategies
Winarti; Ambaryani, Santi Eka; Putranta, Himawan – International Journal of Instruction, 2022
Self-Regulated Learning (SRL) is important to solve learning problems. This research aimed to determine the effect of the problem-solving based Self-Regulated Learning (SRL) strategy on simple harmonic motion material toward the metacognitive abilities of student's senior high school. This research applied a quasi-experimental method with a…
Descriptors: Metacognition, Learning Strategies, Problem Solving, High School Students
Zhou, Ji; Wang, Xinghua – Asia-Pacific Education Researcher, 2022
Study habits can be defined as students' decisions on choosing what to learn and how to learn during their everyday learning processes. Study habits included three aspects of learning behavior: choosing learning material, adopting specific learning strategies (rereading, self-testing, and spacing), and strategy sources and changes (how strategies…
Descriptors: Foreign Countries, College Students, Metacognition, Learning Strategies
Finesilver, Carla – Educational Studies in Mathematics, 2022
Visuospatial representations of numbers and their relationships are widely used in mathematics education. These include drawn images, models constructed with concrete manipulatives, enactive/embodied forms, computer graphics, and more. This paper addresses the analytical limitations and ethical implications of methodologies that use broad…
Descriptors: Spatial Ability, Mathematics Education, Learning Strategies, Multiplication
Robey, Alison; Castillo, Carlos; Ha, Joseph; Kerlow, Marina; Tesfa, Nebyat; Dougherty, Michael – Metacognition and Learning, 2022
Deciding what items to restudy is an important aspect of self-regulated learning. Previous research (Robey et al. "Psychological Science," 28(11), 1683-1693, 2017) reports that having learners make different types of metacognitive judgments affects restudy decisions. More specifically, when learners made retrospective confidence…
Descriptors: Metacognition, Memory, Study Habits, Decision Making
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