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Lukas Höper; Carsten Schulte – Informatics in Education, 2024
In K-12 computing education, there is a need to identify and teach concepts that are relevant to understanding machine learning technologies. Studies of teaching approaches often evaluate whether students have learned the concepts. However, scant research has examined whether such concepts support understanding digital artefacts from everyday life…
Descriptors: Student Empowerment, Data Use, Computer Science Education, Artificial Intelligence
Marijn Martens; Ralf De Wolf; Lieven De Marez – Education and Information Technologies, 2024
Algorithmic systems such as Learning Analytics (LA) are driving the datafication and algorithmization of education. In this research, we focus on the appropriateness of LA systems from the perspective of parents and students in secondary education. Anchored in the contextual integrity framework (Nissenbaum, "Washington Law Review, 79,"…
Descriptors: Parent Attitudes, Student Attitudes, Learning Analytics, Algorithms
Punyapa Boontam; Supakorn Phoocharoensil – PASAA: Journal of Language Teaching and Learning in Thailand, 2024
In recent years, there has been growing interest in the use of data-driven learning (DDL) in L2 writing instruction. This paper examined whether and to what extent DDL activities could enhance the writing complexity, accuracy, and fluency (CAF) of 30 Thai EFL learners. The presentation of DDL in this study was hands-on concordancing with the…
Descriptors: Foreign Countries, English (Second Language), Data Use, Difficulty Level
Li, Warren; Sun, Kaiwen; Schaub, Florian; Brooks, Christopher – International Journal of Artificial Intelligence in Education, 2022
Use of university students' educational data for learning analytics has spurred a debate about whether and how to provide students with agency regarding data collection and use. A concern is that students opting out of learning analytics may skew predictive models, in particular if certain student populations disproportionately opt out and biases…
Descriptors: College Students, Learning Analytics, Student Attitudes, Informed Consent
Klomkaew, Thayakorn; Boontam, Punyapa – Shanlax International Journal of Education, 2023
This study investigates the extent to which paper-based data-driven learning (DDL) activities can improve Thai EFL students' grammar learning of conditional sentences (the second condition), as well as the participants' attitudes toward learning through the DDL approach. This was a two-week research using a one-group pre-test and post-test design.…
Descriptors: Instructional Effectiveness, Grammar, Data Use, Teaching Methods
Young, Christopher J.; Doan, Sy; Grant, David; Greer, Lucas; Fernandez, Maria-Paz; Steiner, Elizabeth D.; Strawn, Matt – RAND Corporation, 2021
This report provides information about the sample, survey instrument, and resultant data for the 2021 Learn Together Surveys (LTS) that were administered to secondary principals and teachers in March 2021 via the RAND Corporation's American Educator Panels. It includes a full set of basic frequency tables for each survey. The LTS focus on several…
Descriptors: National Surveys, Teacher Surveys, Administrator Surveys, Secondary School Teachers
Ednah Nwafor; Olivia Kelly; Ally Skoog-Hoffman; Faye Kroshinsky – Collaborative for Academic, Social, and Emotional Learning, 2023
This brief shares learnings from Building Equitable Learning Environments (BELE) district partnerships around the sixth Essential Action: Measure What Matters. This Essential Action focuses on achieving equitable learning environments through the routine collection and review of relevant student feedback data to co-design new practices and…
Descriptors: Middle School Students, High School Students, Student Experience, Student Attitudes
Bos, Johannes M.; Dhillon, Sonica; Borman, Trisha – American Institutes for Research, 2019
This is the final report of a large-scale independent evaluation of the Building Assets and Reducing Risks (BARR) model in ninth grade in eleven high schools in Maine, California, Minnesota, Kentucky, and Texas. This sample of schools included large and small schools in urban, suburban, and rural areas, serving students from a wide range of…
Descriptors: Grade 9, High Schools, High School Freshmen, Program Effectiveness