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Balbay, Seher; Kilis, Selcan – International Online Journal of Education and Teaching, 2018
Analytics as one of the recent fields in technology-based learning offers many benefits to educators, instructors, and administrators to improve the efficiency and quality of alternative educational materials, and learning experience through tracking and storing students' log data on web platforms over an extended period of time. This mixed-method…
Descriptors: Courseware, Open Education, Learning Analytics, Second Language Learning
Cottrell, Gregory James – ProQuest LLC, 2017
The information age has revolutionized how people communicate, access information and learn. Today's students are locating, evaluating and using information in significantly different ways than they did just a generation ago (Holman, 2009). As students evolve their learning strategies, there is a need for teachers to evolve the way in which they…
Descriptors: Learning Analytics, Instructional Design, Internet, Computer Uses in Education
Annika Rigole; Sonakshi Sharma; Jessica Bergmann – UNICEF Innocenti - Global Office of Research and Foresight, 2023
Recognizing that children's learning outcomes generally remain low, in its recent 2017--2021 Education and Skills Sector Plan (ESSP) the Government of Zambia prioritized improving learning outcomes through strategies that addressed gaps in education system quality, access, equity and efficiency. What resources and contextual factors are associated…
Descriptors: School Effectiveness, Outcomes of Education, Educational Strategies, Access to Education
Cefai, Carmel; Downes, Paul; Cavioni, Valeria – European Commission, 2021
This analytical report seeks to address the evident gap in the formative assessment of social and emotional education by providing a framework indicating how social and emotional education may be assessed through a whole-school approach, both at individual (learner) and contextual (classroom climate and whole school system) levels, accompanied by…
Descriptors: Foreign Countries, Educational Assessment, Formative Evaluation, Holistic Approach
Spector, Michael, Ed.; Kumar, Vivekanandan, Ed.; Essa, Alfred, Ed.; Huang, Yueh-Min, Ed.; Koper, Rob, Ed.; Tortorella, Richard A. W., Ed.; Chang, Ting-Wen, Ed.; Li, Yanyan, Ed.; Zhang, Zhizhen, Ed. – Lecture Notes in Educational Technology, 2018
This book demonstrates teachers' and learners' experiences with big data in education; education and cloud computing; and new technologies for teacher support. It also discusses the advantages of using these frontier technologies in teaching and learning and predicts the future challenges. As such, it enables readers to better understand how…
Descriptors: Educational Technology, Technological Advancement, Data Use, Technology Uses in Education
Chen, Guanhua – ProQuest LLC, 2018
This study is part of a larger design study that iteratively improves a robotics programming curriculum as well as a computational thinking (CT) instrument. Its focus was majorly on CT assessment and particularly on an online CT instrument with logging functionality that can store a student's problem-solving process by recording interactions…
Descriptors: Elementary School Students, Test Construction, Cognitive Tests, Computer Assisted Testing
Ostrow, Korinn S.; Selent, Doug; Wang, Yan; Van Inwegen, Eric G.; Heffernan, Neil T.; Williams, Joseph Jay – Grantee Submission, 2016
Researchers invested in K-12 education struggle not just to enhance pedagogy, curriculum, and student engagement, but also to harness the power of technology in ways that will optimize learning. Online learning platforms offer a powerful environment for educational research at scale. The present work details the creation of an automated system…
Descriptors: Learning Analytics, Technology Uses in Education, Randomized Controlled Trials, Automation
Moore, Robert L.; Oliver, Kevin M.; Wang, Chuang – Interactive Learning Environments, 2019
Learning analytics focuses on extracting meaning from large amounts of data. One of the largest datasets in education comes from Massive Open Online Courses (MOOCs) that typically feature enrollments in the tens of thousands. Analyzing MOOC discussion forums presents logistical issues, resulting chiefly from the size of the dataset, which can…
Descriptors: Cognitive Processes, Online Courses, Discussion Groups, Learning Analytics
Herodotou, Christothea; Rienties, Bart; Verdin, Barry; Boroowa, Avinash – Journal of Learning Analytics, 2019
Predictive Learning Analytics (PLA) aim to improve learning by identifying students at risk of failing their studies. Yet, little is known about how best to integrate and scaffold PLA initiatives into higher education institutions. Towards this end, it becomes essential to capture and analyze the perceptions of relevant educational stakeholders…
Descriptors: Prediction, Data Analysis, Higher Education, Distance Education
Kinshuk, Ed.; Huang, Ronghuai, Ed. – Lecture Notes in Educational Technology, 2015
This book focuses on the design and architecture of ubiquitous learning environments, associated technologies, various learning scenarios supported by these environments, and different contexts that arise in environments where the seamless immersion of formal and informal activities and interactions has the potential to contribute to the learning…
Descriptors: Electronic Learning, Educational Technology, Informal Education, Individualized Instruction
Fields, Deborah A.; Kafai, Yasmin B.; Giang, Michael T. – ACM Transactions on Computing Education, 2017
Most research in primary and secondary computing education has focused on understanding learners within formal classroom communities, leaving aside the growing number of promising informal online programming communities where young users contribute, comment, and collaborate on programs to facilitate learning. In this article, we examined trends in…
Descriptors: Programming, Communities of Practice, Youth, Social Networks
Scandura, Joseph M. – Technology, Instruction, Cognition and Learning, 2013
This article begins with a summary of two dominant approaches to adaptive learning systems: Intelligent Tutoring Systems (ITS), which have been around since the late 1970s and relatively new learning systems based on Learning Analytics, deriving largely from technical advances in BIG DATA pioneered by Google. The article then describes a third…
Descriptors: Intelligent Tutoring Systems, Learning Analytics, Delivery Systems, Learning Theories
Saad, Ahmad Fuad – Online Submission, 2021
There are always challenges in teaching K-12 students Science, Technology, Engineering and Mathematics which is called STEM subjects due to the scientific nature of these disciplines that require strong and higher order thinking along with the ability to connect abstract concepts and relate to them. Additionally, there is a decrease in number of…
Descriptors: STEM Education, Elementary Secondary Education, Teaching Methods, Learner Engagement
Chutiporn Anutariya Ed.; Dejian Liu Ed.; Kinshuk Ed.; Ahmed Tlili Ed.; Junfeng Yang Ed.; Maiga Chang Ed. – Lecture Notes in Educational Technology, 2023
This book collects the proceedings of the 7th International Conference on Smart Learning Environments (ICSLE2023), held in Bangkok, Thailand, as a hybrid conference from 31st Aug to 1st Sep 2023. The proceedings focus on the interplay between pedagogy and technology, and their fusion towards the advancement of smart learning for a sustainable…
Descriptors: Educational Technology, Electronic Learning, Sustainability, Student Satisfaction
Hershkovitz, Arnon – Technology, Instruction, Cognition and Learning, 2015
Data-driven instruction is still a huge scope and has many shades. One promising way of adding learning analytics to traditional teaching is to offer teachers accessible, data-driven information, either in a dashboard style or with a UI with which they could perform their own analysis on student data (e.g., Ben-Naim, Bain, & Marcus, 2009;…
Descriptors: Data Use, Learning Analytics, Computer Interfaces, Reflection