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Showing 1 to 15 of 48 results Save | Export
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Hengtao Tang; Yeye Tang; Miao Dai; Xu Du; Jui-Long Hung; Hao Li – TechTrends: Linking Research and Practice to Improve Learning, 2024
Blended learning, integrating online and in-person components, has been increasingly adopted in higher education to enhance students' learning experience and outcomes. While the advantages of blended learning are well-evidenced, research has primarily focused on the online pre-learning component, neglecting the significance of in-class activities.…
Descriptors: Blended Learning, Behavior Patterns, Learning Processes, Learning
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Jinju Lee; Jongchan Park; Dongsik Kim – Instructional Science: An International Journal of the Learning Sciences, 2024
This study investigates when and how awareness of knowledge gaps (AKG) manifests by observing the problem-solving phase of the educational approach known as problem-solving followed by instruction (PS-I). By comprehensively exploring cognitive and metacognitive process of learners during this phase and categorizing students' judgements of…
Descriptors: Knowledge Level, Problem Solving, Metacognition, Cognitive Ability
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Jaudon Ron Foiret; Mariette Volschenk – Anatomical Sciences Education, 2024
Digital anatomy learning platforms hold potential academic benefits, yet there is currently no universally accepted pedagogical framework guiding their utilization. This study applied the lens of Laurillard's conversational framework to explore second-year medical students' experiences with a digital anatomy learning platform at a South African…
Descriptors: Medical Students, Medical Education, Anatomy, Learning Management Systems
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Di Sun; Gang Cheng; Heng Luo – Interactive Learning Environments, 2024
Recently, researchers have proposed to leverage technology-supported data (log files) to investigate temporal and sequential patterns of interaction behaviors in learning processes. There are two major challenges to be addressed: clarifying the positioning of interaction levels and identifying the evolution of the interaction action patterns in…
Descriptors: Foreign Countries, Undergraduate Students, Computer Science, MOOCs
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Osipenko, Maria – Education and Information Technologies, 2022
A data-driven model where individual learning behavior is a linear combination of certain stylized learning patterns scaled by learners' affinities is proposed. The absorption of stylized behavior through the affinities constitutes "building blocks" in the model. Non-negative matrix factorization is employed to extract common learning…
Descriptors: Behavior Patterns, Models, Undergraduate Students, Preferences
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Esteban Villalobos; Isabel Hilliger; Carlos Gonzalez; Sergio Celis; Mar Pérez-Sanagustín; Julien Broisin – Journal of Learning Analytics, 2024
Researchers in learning analytics have created indicators with learners' trace data as a proxy for studying learner behaviour in a college course. Student Approaches to Learning (SAL) is one of the theories used to explain these behaviours, distinguishing between deep, surface, and organized study. In Latin America, researchers have demonstrated…
Descriptors: Learning Analytics, Academic Achievement, Role Theory, Learning Processes
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Levin, Orna; Muchnik-Rozanov, Yulia – Journal of Education for Teaching: International Research and Pedagogy, 2023
In this study, we examined the professional development of preservice teachers (PTs) in the framework of simulation-based learning (SBL) during pedagogical courses. The study's goal was to examine the reflective discourse patterns by focusing mainly on the linguistic behaviour of the SBL's participants, to describe their experiences that tended to…
Descriptors: Preservice Teachers, Professional Development, Simulation, Learning
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Orna Levin – Teachers and Teaching: Theory and Practice, 2024
Conducting conversations with students' parents is an important and constant part of teachers' professional practice. Teacher education programmes are responsible for preparing the foundations for teacher-parent cooperation; however, throughout the training, there are few opportunities for preservice teachers (PSTs) to practice interacting with…
Descriptors: Parent School Relationship, Preservice Teachers, Preservice Teacher Education, Simulation
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Kasakowskij, Regina; Haake, Joerg M.; Seidel, Niels – International Educational Data Mining Society, 2023
Improving competence requires practicing, e.g. by solving tasks. The Self-Assessment task type is a new form of scalable online task providing immediate feedback, sample solution and iterative improvement within the newly developed SAFRAN plugin. Effective learning not only requires suitable tasks but also their meaningful usage within the…
Descriptors: Self Evaluation (Individuals), Student Behavior, College Students, Learning Processes
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Mohd Fazil; Angelica Rísquez; Claire Halpin – Journal of Learning Analytics, 2024
Technology-enhanced learning supported by virtual learning environments (VLEs) facilitates tutors and students. VLE platforms contain a wealth of information that can be used to mine insight regarding students' learning behaviour and relationships between behaviour and academic performance, as well as to model data-driven decision-making. This…
Descriptors: Learning Analytics, Learning Management Systems, Learning Processes, Decision Making
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Lars de Vreugd; Anouschka van Leeuwen; Renée Jansen; Marieke van der Schaaf – Journal of Learning Analytics, 2024
For university students, self-regulation of study behaviour is important. However, students are not always capable of effective self-regulation. Providing study behaviour information via a learning analytics dashboard (LAD) may support phases within self-regulated learning (SRL). However, it is unclear what information a LAD should provide, how to…
Descriptors: Learning Management Systems, Learning Analytics, Student Behavior, Behavior Patterns
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Lyn Lim; Maria Bannert; Joep van der Graaf; Yizhou Fan; Mladen Rakovic; Shaveen Singh; Inge Molenaar; Dragan Gaševic – British Journal of Educational Technology, 2024
Scaffolds that support self-regulated learning (SRL) have been found to improve learning outcomes. The effects of scaffolds can differ depending on how learners use them and how specific scaffolds might influence learning processes differently. Personalized scaffolds have been proposed to be more beneficial for learning due to their adaptivity to…
Descriptors: Learning Processes, Scaffolding (Teaching Technique), Comparative Analysis, Undergraduate Students
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Feifei Han – OTESSA Conference Proceedings, 2021
This study investigates to what extent there is an association between students' self-reported perceptions of online learning and observed online learning behaviors recorded by the learning analytic data. The participants were 319 undergraduates studying an engineering course in an Australian university. Data analyses were conducted using cluster…
Descriptors: Online Courses, Behavior Patterns, Correlation, Learning Processes
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Lo-An Liu; Gwo-Jen Hwang – British Journal of Educational Technology, 2024
Learning with digital games has gained considerable popularity. While digital game-based learning has the potential to improve learners' language learning achievement, engagement and motivation, there still exists a gap when it comes to providing effective feedback to learners within these games. Conventional digital games generally provide…
Descriptors: Metalinguistics, Error Correction, English (Second Language), Second Language Learning
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Sahin, Muhittin; Ifenthaler, Dirk – International Association for Development of the Information Society, 2022
Within digitally-supported learning environments, learners need to observe themselves so that they can reflect on their strengths and weaknesses and take a step toward autonomous learning. Within the scope of this research, a technology and analytics enhanced assessment environment in which students can assess themselves was implemented and…
Descriptors: Foreign Countries, College Students, Behavior Patterns, Learning Processes
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