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Novotná, Jarmila; Hošpesová, Alena – ZDM: Mathematics Education, 2022
The Learner's Perspective Study (LPS) offers an extremely rich source of data for analyses of classroom situations. In this paper we focus on events in mathematics classrooms through the lens of the Theory of Didactical Situations in Mathematics, namely, on the situation of institutionalization. During the phase of institutionalization, the…
Descriptors: Foreign Countries, Data Analysis, Mathematics Education, Problem Solving
Tianyu Ma; Jennifer Beth Kahn; Lisa Aileen Hardy; Sarah C. Radke – AERA Online Paper Repository, 2024
This paper reports on systematic literature review that examined learning theories and data collection and analysis methods used to study game-based learning in research on educational digital games for K-12 populations. Through electronic database, hand, and ancestral searches, we identified 25 empirical studies (29 educational games) published…
Descriptors: Data Collection, Data Analysis, Elementary Secondary Education, Educational Games
Khulbe, Manisha; Tammets, Kairit – Technology, Knowledge and Learning, 2023
Insights derived from classroom data can help teachers improve their practice and students' learning. However, a number of obstacles stand in the way of widespread adoption of data use. Teachers are often sceptical about the usefulness of data. Even when willing to work with data, they often do not have the relevant skills. Tools for analysis of…
Descriptors: Faculty Development, Learning Analytics, Intervention, Teacher Attitudes
Wang, Qin; Mousavi, Amin; Lu, Chang – Distance Education, 2022
The field of learning analytics (LA) is developing rapidly. However, previous empirical studies on LA were largely data-driven. Little attention has been paid to theory-driven LA studies. The present scoping review identified and summarized empirical theory-driven LA studies, aiming to reveal how theories were integrated into LA. The review…
Descriptors: Learning Analytics, Journal Articles, Databases, Metacognition
Paul Joseph-Richard; James Uhomoibhi – INFORMS Transactions on Education, 2024
Scholarly interests in developing personalized learning analytics dashboards (LADs) in universities have been increasing. LADs are data visualization tools for both teachers and learners that allow them to support student success and improve teaching and learning. In most LADs, however, a teacher-centric, institutional view drives their designs,…
Descriptors: Learning Analytics, Learning Management Systems, Independent Study, Undergraduate Students
Chih-Hsing Liu; Jeou-Shyan Horng; Sheng-Fang Chou; Tai-Yi Yu; Yung-Chuan Huang; Yen-Ling Ng; Jun-You Lin – Interactive Learning Environments, 2024
The current study provides an integrated comprehensive analysis of mediation-moderation models to understand 567 tourism and hospitality students' viewpoints by exploring multidisciplinary contributions relevant to the big data and new technology application bodies of literature. The results show that self-efficacy was the primary motivation…
Descriptors: Foreign Countries, College Students, Tourism, Hospitality Occupations
Doroudi, Shayan – AERA Open, 2020
In addition to providing a set of techniques to analyze educational data, I claim that data science as a field can provide broader insights to education research. In particular, I show how the bias-variance tradeoff from machine learning can be formally generalized to be applicable to several prominent educational debates, including debates around…
Descriptors: Data Analysis, Learning Theories, Teaching Methods, Educational Research
Watson, Jane; Fitzallen, Noleine – Mathematics Education Research Group of Australasia, 2021
Statistical terms are used in everyday language and, at times, used in non-statistical ways. It is often assumed students understand statistical terms because of their common use; however, research into their understanding of specific statistical terms is scant. This report focuses on 58 Year 3 students' responses to the basic question, "What…
Descriptors: Mathematics Instruction, Grade 3, Elementary School Students, Data Analysis
Perveen, Ayesha – Turkish Online Journal of Distance Education, 2018
This paper develops a theoretical framework for employing learning analytics in online education to trace multiple learning variations of online students by considering their potential of being multiple intelligences based on Howard Gardner's 1983 theory of multiple intelligences. The study first emphasizes the need to facilitate students as…
Descriptors: Multiple Intelligences, Electronic Learning, Data Collection, Data Analysis
Larson, Benjamin E.; Bohler, Jeffrey A.; Krishnamoorthy, Anand – Journal of Information Technology Education: Innovations in Practice, 2021
Aim/Purpose: Business analytics is a cross-functional field that is important to implement for a college and has emerged as a critically important core component of the business curriculum. It is a difficult task due to scheduling concerns and limits to faculty and student resources. This paper describes the process of creating a central video…
Descriptors: Teaching Methods, Data Analysis, Business Administration Education, Undergraduate Students
Hernandez-Martinez, Paul; Vos, Pauline – ZDM: The International Journal on Mathematics Education, 2018
In this paper we explore how students can experience the relevance of mathematical modelling activities. In the literature we found that relevance is a connection among several issues (relevance of what? to whom? according to whom? and to what end?). We framed this concept in terms of Cultural-Historical Activity Theory (CHAT), a theory for…
Descriptors: Case Studies, Student Experience, Relevance (Education), Mathematical Models
Wang, Zhijun; Anderson, Terry; Chen, Li; Barbera, Elena – British Journal of Educational Technology, 2017
Connectivist learning is interaction-centered learning. A framework describing interaction and cognitive engagement in connectivist learning was constructed using logical reasoning techniques. The framework and analysis was designed to help researchers and learning designers understand and adapt the characteristics and principles of interaction in…
Descriptors: Online Courses, Learning Processes, Interaction, Social Media
Micheaux, Andrea; Bosio, Birgit – Journal of Marketing Education, 2019
As firms gather increasing amounts of data, the question of how future marketers can use these data to make their marketing more relevant and to make a strategic difference remains. However, students may feel uncomfortable about information systems and database technology, which they may perceive as complex and dry. This case describes how the…
Descriptors: Teaching Methods, Marketing, Data Analysis, Course Descriptions
Lakind, Alexandra – Journal for Learning through the Arts, 2017
In recent years, the concept "making" has been claimed by "The Maker Movement." While making offers great potential (and resources) for art integration in informal learning sites, maker discourse is often intertwined with a neoliberal mission. For example, movement leaders glorify Steve Jobs and hark on the myth that hobbies…
Descriptors: Public Libraries, Conflict, Art Education, Shared Resources and Services
Tempelaar, Dirk – International Association for Development of the Information Society, 2017
This empirical study aims to demonstrate how Dispositional Learning Analytics can contribute in the investigation of the effectiveness of didactical scenarios in authentic settings, where previous research has mostly been laboratory based. Using a showcase based on learning processes of 1080 students in a blended introductory quantitative course,…
Descriptors: Educational Principles, Learning Processes, Vignettes, Demography
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