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Collin Shepley; Justin D. Lane; Devin Graley – Remedial and Special Education, 2023
This study serves as an initial attempt to establish content validity for graphs likely to be included in trainings targeting progress monitoring for professionals serving learners with or at risk for disabilities. We created a survey containing 32 graphic displays of hypothetical learner data. These surveys were administered to a sample of…
Descriptors: Progress Monitoring, Students with Disabilities, Content Validity, Graphs
Natasha Arthars; Kate Thompson; Henk Huijser; Steven Kickbusch; Samuel Cunningham; Gavin Winter; Roger Cook; Lori Lockyer – Australasian Journal of Educational Technology, 2024
Assessing group work formatively in higher education poses a significant challenge. The complexity of evaluating individual contributions is compounded by the lack of efficient and effective methods for tracking, analysing and assessing individual engagement and contributions, which can impede timely feedback and the development of group work…
Descriptors: Formative Evaluation, Cooperative Learning, College Students, Student Evaluation
Krivova, Anna Leonidovna; Kalliopin, Alexander Konstantinovich; Korotaeva, Irina Eduardovna; Shafazhinskaya, Natalia Evgenievna; Ermilova, Daria Yuryevna – Journal of Educational Psychology - Propositos y Representaciones, 2021
In the era of the digital educational environment, where each participant of the educational process is actively involved in its development, the Internet and its services have become a popular tool. Open education network tools are defined as ICT tools that ensure the formation and maintenance of network electronic information resources of an…
Descriptors: Social Networks, Social Media, Educational Technology, Technology Integration
Deane, Paul; Wilson, Joshua; Zhang, Mo; Li, Chen; van Rijn, Peter; Guo, Hongwen; Roth, Amanda; Winchester, Eowyn; Richter, Theresa – International Journal of Artificial Intelligence in Education, 2021
Educators need actionable information about student progress during the school year. This paper explores an approach to this problem in the writing domain that combines three measurement approaches intended for use in interim-assessment fashion: scenario-based assessments (SBAs), to simulate authentic classroom tasks, automated writing evaluation…
Descriptors: Vignettes, Writing Evaluation, Writing Improvement, Progress Monitoring
Alcaraz, Raul; Martinez-Rodrigo, Arturo; Zangroniz, Roberto; Rieta, Jose Joaquin – IEEE Transactions on Learning Technologies, 2021
Early warning systems (EWSs) have proven to be useful in identifying students at risk of failing both online and conventional courses. Although some general systems have reported acceptable ability to work in modules with different characteristics, those designed from a course-specific perspective have recently provided better outcomes. Hence, the…
Descriptors: Prediction, At Risk Students, Academic Failure, Electronic Equipment
Forthmann, Boris; Förster, Natalie; Souvignier, Elmar – Journal of Intelligence, 2022
Monitoring the progress of student learning is an important part of teachers' data-based decision making. One such tool that can equip teachers with information about students' learning progress throughout the school year and thus facilitate monitoring and instructional decision making is learning progress assessments. In practical contexts and…
Descriptors: Learning Processes, Progress Monitoring, Robustness (Statistics), Bayesian Statistics
Zotou, Maria; Tambouris, Efthimios; Tarabanis, Konstantinos – Educational Technology Research and Development, 2020
Problem based learning (PBL) supports the development of transversal skills and could underpin the training of a workforce competent to withstand the constant generation of new information. However, the application of PBL is still facing challenges, as educators are usually unsure how to structure student-centred courses, how to monitor students'…
Descriptors: Problem Based Learning, Data Use, Learning Analytics, Skill Development
Ishari Amarasinghe; Konstantinos Michos; Francisco Crespi; Davinia Hernández-Leo – Journal of Computer Assisted Learning, 2024
Background: Data-driven educational technology solutions have the potential to support teachers in different tasks, such as the designing and orchestration of collaborative learning activities. When designing, such solutions can improve teacher understanding of how learning designs impact student learning and behaviour; and guide them to refine…
Descriptors: Learning Activities, Educational Technology, Design, Cooperative Learning
Ibañez, Patricia; Villalonga, Cristina; Nuere, Leire – Technology, Knowledge and Learning, 2020
The main objective of educational institutions is to achieve the integral development of their students in their learning and knowledge construction process. One way to achieve these objectives is the accompaniment and continuous monitoring of students in this process, adapting the methods to their training needs. In online and mixed teaching…
Descriptors: Learning Analytics, Foreign Countries, Educational Environment, Electronic Learning
Onodipe, Grace; Keengwe, Jared; Cottrell-Yongye, Adrienne – Journal of Teaching and Learning with Technology, 2020
The inherent structure of the flipped classroom supports a learning environment that promotes students' self-regulated learning. In this article, we focus on how a learning management system (LMS), in this case BrightSpace D2L, plays a key role in supporting all aspects of the flipped classroom. We discuss how preclass assignments help students…
Descriptors: Integrated Learning Systems, Self Management, Learning Analytics, Flipped Classroom
Foster, Ed; Siddle, Rebecca – Assessment & Evaluation in Higher Education, 2020
In this article we investigate the effectiveness of learning analytics for identifying at-risk students in higher education institutions using data output from an in-situ learning analytics platform. Amongst other things, the platform generates 'no-engagement' alerts if students have not engaged with any of the data sources measured for 14…
Descriptors: Learning Analytics, At Risk Students, Identification, Higher Education
Crescenzi-Lanna, Lucrezia – British Journal of Educational Technology, 2020
Learning Analytics and Multimodal Learning Analytics are changing the way of analysing the learning process while students interact with an educational content. This paper presents a systematic literature review aimed at describing practices in recent Multimodal Learning Analytics and Learning Analytics research literature in order to identify…
Descriptors: Learning Modalities, Learning Analytics, Student Behavior, Progress Monitoring
Aburizaizah, Saeed Jameel – Journal of Education and Learning, 2021
For many justifications, the collection, analysis, and use of educational data are central to the evaluation and improvement of students' progress and learning outcomes. The use of data in educational evaluation and decision making are expected to span all layers--from the institution, teachers, students, and classroom levels, providing a…
Descriptors: Data Use, Decision Making, Progress Monitoring, Learning Analytics
Jayashanka, Rangana; Hettiarachchi, E.; Hewagamage, K. P. – Electronic Journal of e-Learning, 2022
During the COVID-19 pandemic period, all the Sri Lankan universities delivered lectures in fully online mode using Virtual Learning Environments. In fully online mode, students cannot track their performance level, their progress in the course, and their performances compared to the rest of the class. This paper presents research work conducted at…
Descriptors: Foreign Countries, Technology Uses in Education, Learning Analytics, Electronic Learning
Crowley-Cyr, Lynda; Hevers, James – Journal of University Teaching and Learning Practice, 2021
The University of Southern Queensland's online study environment continues to grow with over 16,000 students studying online. Pre-Covid-19, online enrolments typically represent around 67% of all students studying at USQ. This article usefully analyses quantitative data in order to evaluate the effectiveness of the pilot of an online peer-assisted…
Descriptors: Peer Teaching, Learner Engagement, Academic Achievement, Electronic Learning
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