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Jo MacDonald; Nicola Bright; Mengnan Li – New Zealand Council for Educational Research, 2023
This is the fourth annual evaluation report for the Sorted in Schools, Te whai hua -- kia ora programme, a financial literacy programme for secondary school students and akonga, led by Te Ara Ahunga Ora Retirement Commission. In 2023, the evaluation focused on collecting data about key programme goals and reporting on the proportion of schools and…
Descriptors: Foreign Countries, Secondary School Students, Financial Literacy, Program Effectiveness
Rohemi Zuluaga; Alicia Camelo-Guarín; Enrique De La Hoz – Journal on Efficiency and Responsibility in Education and Science, 2023
This research aims to design a helpful methodology for estimating universities' relative impact on students as a sustainability factor in higher education. To this end, the research methodology implemented a two-stage approach. The first stage involves the relative efficiency analysis of the study units using Fuzzy Data Envelopment Analysis. The…
Descriptors: Foreign Countries, Higher Education, Educational Practices, Efficiency
Martin Flegl; Sonia Valeria Avilés-Sacoto; David Güemes-Castorena; Estefanía Caridad Avilés-Sacoto – Journal on Efficiency and Responsibility in Education and Science, 2023
Education has been considered a cornerstone for human and economic development. Although there is a national educational strategy in most countries, various implementations are at the state level. This paper studies academic efficiency at the primary and secondary levels and the human development dimensions -- long and healthy life, being…
Descriptors: Foreign Countries, Educational Practices, Economic Development, Efficiency
Schoepp, Rosemarie – ProQuest LLC, 2023
Data-driven decision making (DDDM) is an important teaching practice that can positively influence student achievement by using assessment data to make instructional decisions. The problem is that teachers do not always use this practice. Teachers' perspectives of DDDM can influence their data use practices. This basic qualitative study was…
Descriptors: Teacher Attitudes, Data Use, Instructional Design, Decision Making
Dreana Holloway – ProQuest LLC, 2023
This study explored the experiences of school counselors utilizing peer-group supervision to assist in analyzing data to determine the effectiveness of interventions. The literature gap indicates that further research was needed regarding the relationship between appropriate supervision and its impact on school counselors' ability to analyze data.…
Descriptors: Peer Groups, Supervision, School Counselors, Intervention
Complete College America, 2023
In this position paper, the authors lay out the imperative for equitable artificial intelligence (AI), highlighting the essential role of access-oriented institutions and calling on technology companies (both large and small), foundations, and local, state, and federal regulators to consult with the newly convened Complete College America Council…
Descriptors: Artificial Intelligence, Computer Uses in Education, Higher Education, Graduation
Fischer, Emily K. – ProQuest LLC, 2023
The purpose of this review is to examine the current literature on incremental rehearsal (IR) to investigate whether IR is be considered an evidence-based practice, based on the quality indicators set forth by the Council for Exceptional Children (Cook et al., 2014). Burns et al. (2012) completed a meta-analysis to investigate the effectiveness…
Descriptors: Drills (Practice), Evidence Based Practice, Educational Quality, Educational Indicators
Zamecnik, Andrew; Kovanovíc, Vitomir; Joksimovíc, Srécko; Grossmann, Georg; Ladjal, Djazia; Marshall, Ruth; Pardo, Abelardo – Journal of Computer Assisted Learning, 2023
Background: Maintaining cohesion is critical for teams to achieve shared goals and performance outcomes within a work-integrated learning (WIL) environment. Cohesion is an emergent state that develops over time, representing the synchrony of different behavioural interactions. Cohesive teams will exhibit such phenomena by their temporal…
Descriptors: Data Use, Group Dynamics, College Students, Cooperative Learning
Stadler, Matthias; Brandl, Laura; Greiff, Samuel – Journal of Computer Assisted Learning, 2023
Background: Over the last 20 years, educational large-scale assessments have undergone dramatic changes moving away from simple paper-pencil assessments to innovative, technology-based assessments. This comprehensive switch has led to some rather technical improvements such as identifying early guessing or improving standardization. Objectives: At…
Descriptors: Interaction, Measurement, Data Processing, Sustainability
Jia Tracy Shen – ProQuest LLC, 2023
In education, machine learning (ML), especially deep learning (DL) in recent years, has been extensively used to improve both teaching and learning. Despite the rapid advancement of ML and its application in education, a few challenges remain to be addressed. In this thesis, in particular, we focus on two such challenges: (i) data scarcity and…
Descriptors: Artificial Intelligence, Electronic Learning, Data, Generalization
Alberto Testoni; Raffaella Bernardi; Azzurra Ruggeri – Cognitive Science, 2023
In recent years, a multitude of datasets of human-human conversations has been released for the main purpose of training conversational agents based on data-hungry artificial neural networks. In this paper, we argue that datasets of this sort represent a useful and underexplored source to validate, complement, and enhance cognitive studies on…
Descriptors: Questioning Techniques, Cognitive Science, Natural Language Processing, Data Use
Rotelli, Daniela; Monreale, Anna – Journal of Learning Analytics, 2023
The increased adoption of online learning environments has resulted in the availability of vast amounts of educational log data, which raises questions that could be answered by a thorough and accurate examination of students' online learning behaviours. Event logs describe something that occurred on a platform and provide multiple dimensions that…
Descriptors: Learning Analytics, Learning Management Systems, Time on Task, Student Behavior
Toyokawa, Yuko; Horikoshi, Izumi; Majumdar, Rwitajit; Ogata, Hiroaki – Smart Learning Environments, 2023
In inclusive education, students with different needs learn in the same context. With the advancement of artificial intelligence (AI) technologies, it is expected that they will contribute further to an inclusive learning environment that meets the individual needs of diverse learners. However, in Japan, we did not find any studies exploring…
Descriptors: Barriers, Affordances, Artificial Intelligence, Inclusion
National Forum on Education Statistics, 2023
The Forum Guide to Data Quality provides best practices from districts and states for maintaining quality data as these agencies regularly review and revise their methods for working with data, as well as their expectations for all staff who are responsible for education data and their quality. This resource is intended to help districts and…
Descriptors: Data Collection, Quality Control, Best Practices, Educational Indicators
Brown, Michael; Sowl, Stephanie; Steigleder, K. M. – Journal of Higher Education, 2023
We present a historical case study of "data-driven" general education policy reform at the City University of New York, where within-system transfer issues prompted the need for curricular reform that was debated and eventually implemented from 2011 to 2017. Through an empirical examination of artifacts such as meeting minutes, internal…
Descriptors: Data Use, Decision Making, Educational Policy, Urban Universities