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Keser, Sinem Bozkurt; Aghalarova, Sevda – Education and Information Technologies, 2022
Education plays a major role in the development of the consciousness of the whole society. Education has been improved by analyzing educational data related to student academic performance. By using data mining techniques and algorithms on data from the educational environment, students' performances can be predicted. In this study, a novel Hybrid…
Descriptors: Grade Prediction, Academic Achievement, Data Analysis, Data Collection
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Yu Jie; Xinyun Zhou – International Journal of Web-Based Learning and Teaching Technologies, 2024
This paper explores using data mining in English teaching assessment in higher education within the 'Internet + Education' era. Traditional assessment methods struggle to meet modern teaching needs. By collecting diverse data like student performance and learning behavior, and employing data mining, a comprehensive assessment model is built. This…
Descriptors: College English, Program Evaluation, Evaluation Methods, Data Collection
Knight, Jim – ASCD, 2021
Even under ideal conditions, teaching is tough work. Facing unrelenting pressure from administrators and parents and caught in a race against time to improve student outcomes, educators can easily become discouraged (or worse, burn out completely) without a robust coaching system in place to support them. For more than 20 years, perfecting such a…
Descriptors: Coaching (Performance), Academic Achievement, Success, Teaching Methods
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Cenka, Baginda Anggun Nan; Santoso, Harry B.; Junus, Kasiyah – Knowledge Management & E-Learning, 2022
Online learning implementation has been growing year by year across countries, including Indonesia. Many higher education institutions use a Learning Management System (LMS) to facilitate online learning. Unfortunately, many issues arise during online learning implementation, such as a lack of student behaviour monitoring. This study adopts an…
Descriptors: Knowledge Management, Electronic Learning, Integrated Learning Systems, Student Behavior
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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
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Bohorquez, Carlos; Marquet, Pascal – International Association for Development of the Information Society, 2019
This paper describes the first stages on the development of a design method of digital trainings using the collaborative authoring tool "ALO". Based on the theory of instrumental conflict (Marquet, 2005), this method highlights the necessity of the design digital trainings under the optimal harmonization for users/learners in didactic,…
Descriptors: Instructional Design, Programming, Conflict, Teaching Methods
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Shin, Youhyun; Park, Junghyuk; Lee, Sang-goo – Interactive Learning Environments, 2018
Blended learning has steadily gained in popularity at the higher levels of education. This marks a change in pedagogical approaches from one-directional instruction to an interactive and technology-aided class. However, to manage fluent in-class activities and proper data analysis, real-time and fine-grained data collection activities are still…
Descriptors: Class Activities, Data Collection, Blended Learning, Feedback (Response)
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Godwin-Jones, Robert – Language Learning & Technology, 2021
Data collection and analysis is nothing new in computer-assisted language learning, but with the phenomenon of massive sets of human language collected into corpora, and especially integrated into systems driven by artificial intelligence, new opportunities have arisen for language teaching and learning. We are now seeing powerful artificial…
Descriptors: Data Collection, Academic Achievement, Learning Analytics, Computer Assisted Instruction
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Agley, Jon; Tidd, David; Jun, Mikyoung; Eldridge, Lori; Xiao, Yunyu; Sussman, Steve; Jayawardene, Wasantha; Agley, Daniel; Gassman, Ruth; Dickinson, Stephanie L. – Educational and Psychological Measurement, 2021
Prospective longitudinal data collection is an important way for researchers and evaluators to assess change. In school-based settings, for low-risk and/or likely-beneficial interventions or surveys, data quality and ethical standards are both arguably stronger when using a waiver of parental consent--but doing so often requires the use of…
Descriptors: Data Analysis, Longitudinal Studies, Data Collection, Intervention
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Hardy, Ian – Journal of Education Policy, 2021
Drawing upon recent theorising of numbers and data, and applications to schooling, this paper reveals how tensions between more accountability-oriented logics, and more contextually-situated conceptions of engagement with data, played out in one school in a regional community in northern Queensland, Australia. The research reveals that at the same…
Descriptors: Data Analysis, Accountability, Faculty Development, Academic Achievement
Arnold, Nathan; Voight, Mamie; Morales, Jessica; Dancy. Kim; Coleman, Art – Institute for Higher Education Policy, 2019
As the higher education landscape has expanded beyond issues of access and affordability to include an emphasis on student completion and employment outcomes, accreditors can play a leadership role in advancing this important change. A shift to student success that rightfully centers in part on closing equity gaps between low-income students and…
Descriptors: Educational Improvement, Accreditation (Institutions), Data Use, Academic Achievement
LiBetti, Ashley; Schiess, Jennifer – Bellwether Education Partners, 2020
In Spring 2020, National Association of Charter School Authorizers (NACSA) convened a working group of authorizers and other stakeholders to learn more about the challenges they faced, given the data gaps caused by COVID-19, and to ask what guidance was needed for the sector to adapt to these unusual circumstances. Based on their feedback and…
Descriptors: Educational Quality, Measurement Techniques, Educational Indicators, Data Collection
Krachman, Sara Bartolino; LaRocca, Robert; Gabrieli, Christopher – Educational Leadership, 2018
In addition to excelling in subjects such as science, math, arts, and social studies, students must also develop skills like resiliency, adaptability, and collaboration in order to truly succeed in the world. But how do schools effectively measure those skills when they so often rely on standardized assessments? This article provides a thorough…
Descriptors: Student Evaluation, Evaluation Methods, Social Development, Emotional Development
LiBetti, Ashley; Squire, Juliet; Schiess, Jennifer O'Neal – Bellwether Education Partners, 2020
This slide deck is a toolkit to help districts adapt existing school performance frameworks to the current moment or create new ones. These slides identify and walk through the fundamental questions districts need to consider in designing school performance frameworks that acknowledge the challenges that schools and students are facing, as well as…
Descriptors: School Districts, Educational Quality, Measurement Techniques, Educational Indicators
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Whitley, Cameron T.; Dietz, Thomas – Teaching Sociology, 2018
Thirty years ago, Hubert M. Blalock Jr. published an article in "Teaching Sociology" about the importance of teaching statistics. We honor Blalock's legacy by assessing how using Amazon Mechanical Turk (MTurk) in statistics classes can enhance student learning and increase statistical literacy among social science gradaute students. In…
Descriptors: Graduate Students, Statistics, Teaching Methods, Social Science Research
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