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Tarraya, Hilger Ojos – Online Submission, 2023
Teachers' workloads are common subjects of study. However, despite the pieces of literature and the endless calls for action, this remains among the prevailing issues in education. Hence, this paper aims to explore the policies further by gathering and analyzing the implications of workload policy and working hours of public school teachers, in…
Descriptors: Teaching Load, Faculty Workload, Educational Policy, Public School Teachers
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Lin, Yen-Yu – Taiwan Journal of TESOL, 2023
This study examined the effectiveness of guided data-driven learning (DDL) activities on helping technological university students with a lower-intermediate proficiency level to learn grammar and vocabulary topics for the TOEIC test. The question of whether inductive learners make more progress than deductive learners was also addressed. A total…
Descriptors: Grammar, Teaching Methods, Second Language Learning, English (Second Language)
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dos Santos, Roberta Alvarenga; Paulista, Cássio Rangel; da Hora, Henrique Rego Monteiro – Technology, Knowledge and Learning, 2023
The demand for in-depth studies on educational data presupposes the application of technologies that allow data analysis of vast quantities, and subsequently, drawing relevant information and knowledge. The research objective herein is to employ data mining techniques on PISA databases to identify potential patterns that may explain the…
Descriptors: Foreign Countries, Achievement Tests, International Assessment, Secondary School Students
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Kohe, Geoffery Z.; Purdy, Laura G. – Sport, Education and Society, 2019
The proliferation of sports science and technological innovation within performance settings has precipitated the generation of increasing volumes of data to aid athletes. Copious data production has also perpetuated the privileging of scientific information, and a 'thirst' for 'more data' as an unproblematic 'truth'. Of significance is not merely…
Descriptors: Data Analysis, Data Use, Athletes, Athletics
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Bers, Marina Umaschi; Sullivan, Amanda – Journal of Information Technology Education: Innovations in Practice, 2019
Aim/Purpose: This paper aims to explore whether having state Computer Science standards in place will increase young children's exposure to coding and powerful ideas from computer science in the early years. Background: Computer science education in the K-2 educational segment is receiving a growing amount of attention as national and state…
Descriptors: Computer Science Education, Early Childhood Education, Young Children, Computer Software
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Williamson, Ben – British Journal of Educational Technology, 2019
Digital data are transforming higher education (HE) to be more student-focused and metrics-centred. In the UK, capturing detailed data about students has become a government priority, with an emphasis on using student data to measure, compare and assess university performance. The purpose of this paper is to examine the governmental and commercial…
Descriptors: Foreign Countries, Higher Education, Technology Uses in Education, Data Analysis
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Buske, Ramona; Zlatkin-Troitschanskaia, Olga – Educational Management Administration & Leadership, 2019
In this study, we examine the relationships between principals' evidence-oriented attitudes and their data use in school leadership practices. Based on theoretical assumptions and existing empirical research, we develop hypotheses on the correlation of evidence-oriented attitudes, epistemological beliefs and principals' data use. We test these…
Descriptors: Principals, Administrator Attitudes, Data Analysis, Evidence Based Practice
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Al-Mutawah, Masooma Ali; Thomas, Ruby; Eid, Abdulla; Mahmoud, Enaz Yousef; Fateel, Moosa Jaafar – International Journal of Education and Practice, 2019
This study measures the mathematical abilities high school graduates' in Bahrain. Mathematical abilities encompass conceptual understanding, procedural knowledge and problem-solving skills in the five content domains which are Number and Operations, Algebra, Geometry, Measurement, and Data Analysis and Probability. While procedural understanding…
Descriptors: Foreign Countries, High School Graduates, Mathematics Skills, Problem Solving
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Sharma, Arun K.; Hernandez, Michelle; Phuong, Vinh – Journal of STEM Education: Innovations and Research, 2019
Course-based undergraduate research (CURE) is an educational paradigm to engage students in authentic research projects as part of their classroom experience. We present a course-based undergraduate research experience (CURE) for first-year students to get acquainted with the research process and apply the skills of scientific computing to…
Descriptors: Student Research, Undergraduate Students, Learner Engagement, Climate
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Berens, Johannes; Schneider, Kerstin; Gortz, Simon; Oster, Simon; Burghoff, Julian – Journal of Educational Data Mining, 2019
To successfully reduce student attrition, it is imperative to understand what the underlying determinants of attrition are and which students are at risk of dropping out. We develop an early detection system (EDS) using administrative student data from a state and private university to predict student dropout as a basis for a targeted…
Descriptors: Risk Management, At Risk Students, Dropout Prevention, College Students
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Williamson, Ben; Piattoeva, Nelli – Learning, Media and Technology, 2019
New data-driven technologies appear to promise a new era of accuracy and objectivity in scientifically-informed educational policy and governance. The data-scientific objectivity sought by education policy, however, is the result of practices of standardization and quantification deployed to settle controversies about the definition and…
Descriptors: Data Analysis, Accuracy, Educational Policy, Governance
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Zhang, Zheng; Nagle, Joelle; McKishnie, Bethany; Lin, Zhen; Li, Wanjing – Pedagogies: An International Journal, 2019
This systematic review is built on the seminal work by the New London Group in 1996. Few endeavours have synthesized findings of empirical studies pertaining to the effects and challenges of multiliteracies practices in various schooling and geographical contexts. Through a five-point Likert scale and a deductive and inductive thematic analysis,…
Descriptors: Multiple Literacies, Educational Research, Data Collection, Data Analysis
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Agogo, David; Anderson, Jesse – Journal of Information Systems Education, 2019
Educators must constantly figure out engaging ways to teach data management and modeling concepts, especially to non-technical audiences. This paper introduces and describes an experiential learning activity using playing cards to teach a range of business and technical concepts. The paper is enriched by personal anecdotes and experiences from…
Descriptors: Teaching Methods, Games, Pretests Posttests, Recall (Psychology)
Yang, Zhitong – ProQuest LLC, 2019
Computer-based assessments allow practitioners to collect rich process data by logging students' interactions with assessment tasks. In addition to providing final responses to test questions, computer-based assessments promise to furnish more evidence to support claims about what a student knows and can do through logging process data in log…
Descriptors: Problem Solving, Computer Assisted Testing, Data Analysis, Foreign Countries
Yoo, Paul Youngmin; Whitaker, Anamarie A.; McCombs, Jennifer Sloan – RAND Corporation, 2019
Expanded learning intermediaries are nonprofit organizations dedicated to making after-school and summer programs better and more accessible for children and youth. They do this by coordinating efforts and resources in a given community, knitting programs together into a cohesive system, helping individual programs function at a high level, and…
Descriptors: Nonprofit Organizations, After School Programs, Summer Programs, Data Collection
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