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Maarten van der Velde; Malte Krambeer; Hedderik van Rijn – International Educational Data Mining Society, 2025
Ensuring the integrity of results in online learning and assessment tools is a challenge, due to the lack of direct supervision increasing the risk of fraud. We propose and evaluate a machine learning-based method for detecting anomalous behaviour in an online retrieval practice task, using an XGBoost classifier trained on keystroke dynamics and…
Descriptors: Artificial Intelligence, Technology Uses in Education, Student Behavior, Information Retrieval
Benjamin Alcott; Suman Bhattacharjea; Ricardo Sabates; Ankita Jha; Maria Khwaja; Preeti Manchanda; Akanksha Pandey; Purnima Ramanujan; Wilima Wadhwa; Poorva Shekher; Pratik Wadmare – International Journal of Research & Method in Education, 2025
Reflexivity in quantitative research is central to questioning the ways in which the data is designed, collected and interpreted. It requires the researcher to be reflexive about their knowledge, their positionality, and the bias they may bring at each stage of the research. Unfortunately, though, limited evidence exists on the use of reflexive…
Descriptors: Foreign Countries, Research Design, Statistical Analysis, Test Construction
Seiyon M. Lee; Sami Baral; Hongming Chip Li; Li Cheng; Shan Zhang; Carly S. Thorp; Jennifer St. John; Tamisha Thompson; Neil Heffernan; Anthony F. Botelho – Journal of Educational Data Mining, 2025
Teachers often use open-ended questions to promote students' deeper understanding of the content. These questions are particularly useful in K-12 mathematics education, as they provide richer insights into students' problem-solving processes compared to closed-ended questions. However, they are also challenging to implement in educational…
Descriptors: Feedback (Response), Taxonomy, Data Analysis, Middle School Mathematics
Lewis A. Bonney; Chong Ho Yu – Journal of School Leadership, 2025
The study addressed leadership knowledge sharing among elementary school principals. School principals' comments regarding difficulty sharing what they have learned on the job about leadership gave impetus to investigating components of leadership that are not readily shared. Their comments implied both limited opportunities and limited language…
Descriptors: Principals, Elementary Schools, Knowledge Level, Leadership Styles
Bahareh Ghodoosi; Geraldine Torrisi; Tracey West – International Journal of Adult Education and Technology, 2025
Organisational success increasingly depends on data-driven decision-making, which is making data literate talent essential. However, building a data-literate workforce is challenging, as data literacy is complex, context-dependent, and varies across sectors. This study explores the challenges middle managers face in using data for decision-making…
Descriptors: Information Literacy, Data Use, Decision Making, Foreign Countries
Melissa Moultroup – New England College Journal of Applied Educational Research, 2025
High teacher attrition rates may contribute to educational inequity for students, primarily for those who are members of marginalized communities. Currently, teacher retention rates are lowest in low-income, high-minority schools and districts. As one way to level the playing field, educational leaders may be able to use teacher mentor programs to…
Descriptors: Mentors, Beginning Teachers, Experienced Teachers, Program Implementation
Jacob S. Bennett; Colleen Fitzpatrick; Stanley Trent – Educational Researcher, 2025
On December 2, 2020, the Institute of Education Sciences (IES) published a summary report from their technical working group titled "Increasing Diversity and Representation of IES-Funded Education Researchers." A major barrier to diversifying funded researchers described was that many scholars did not believe the institute funded…
Descriptors: Federal Aid, Grants, Research Projects, Data Collection
Julie A. Woodzicka; Karla Klein Murdock; Lisa Greer; Dan R. Johnson; Toni Locy; Arthur H. Goldsmith – Assessment Update, 2025
Much has been written about bias in student evaluations of teaching (SETs), and efforts have been made to develop evaluation forms that minimize the risk of bias in students' responses. The authors created a fully qualitative open-ended SET instrument, along with a standard process to summarize and interpret results for use by all undergraduate…
Descriptors: Student Evaluation of Teacher Performance, Student Attitudes, Bias, Universities
Confrey, Jere; Shah, Meetal – ZDM: Mathematics Education, 2021
This study investigated the process of instructional change required to translate data on student progress along learning trajectories (LTs) into relevant instructional modifications. Researchers conducted a professional development session on ratio LTs, which included analyzing 3 years of district-level data from Math-Mapper 6-8, a digital…
Descriptors: Instructional Improvement, Mathematics Instruction, Data Use, Decision Making
Kurtdede Fidan, Nuray; Ulu, Hacer – International Journal of Contemporary Educational Research, 2021
It is seen that the number of studies dealing with the values in children's literary products has been increased. Although there are many reviews on the studies concerning with value education, these reviews do not provide some significant details about these studies. This study has provided a content analysis of the studies on the values in…
Descriptors: Foreign Countries, Childrens Literature, Values Education, Literary Genres
Tolwinska, Bozena – Technology, Knowledge and Learning, 2021
The aim of the analysis is to present the role of school principals in supporting teachers' skillful use of information and communication technologies in education. The article presents the results of analysis of a fragment of data from a study carried out in 2017 as part of the research project devoted to the specificity of functioning of schools…
Descriptors: Principals, Administrator Role, Technological Literacy, Educational Technology
Agbo, Friday Joseph; Sanusi, Ismaila Temitayo; Oyelere, Solomon Sunday; Suhonen, Jarkko – Education Sciences, 2021
This study investigated the role of virtual reality (VR) in computer science (CS) education over the last 10 years by conducting a bibliometric and content analysis of articles related to the use of VR in CS education. A total of 971 articles published in peer-reviewed journals and conferences were collected from Web of Science and Scopus…
Descriptors: Computer Simulation, Computer Science Education, Educational Research, Research Methodology
Ferns, Sonia; Phatak, Aloke; Benson, Susan; Kumagai, Nina – Teaching Statistics: An International Journal for Teachers, 2021
In the contemporary workplace, data scientists who are capable of interdisciplinary collaboration are in high demand. Universities need to provide data science students with a plethora of learning opportunities that involve collaboration in interdisciplinary contexts and engagement with industry partners. Curtin University and Lab Tests Online…
Descriptors: Employment Potential, Data, Statistics Education, Interdisciplinary Approach
Woolverton, Genevieve Alice; Pollastri, Alisha R. – Educational Measurement: Issues and Practice, 2021
Within classrooms, psychologists and teachers use direct behavior observation methods, systematic behavior observations (SBOs) and direct behavior ratings (DBRs), to gather information about students' behaviors for the purposes of making decisions related to diagnosis and classroom management or behavioral feedback respectively. Observers use SBOs…
Descriptors: Student Behavior, Classroom Observation Techniques, Behavior Rating Scales, Behavior Patterns
Zhang, Mo; Guo, Hongwen; Liu, Xiang – International Educational Data Mining Society, 2021
We present an empirical study on the use of keystroke analytics to capture and understand how writers manage their time and make inferences on how they allocate their cognitive resources during essay writing. The results suggest three distinct longitudinal patterns of writing process that describe how writers approach an essay task in a writing…
Descriptors: Keyboarding (Data Entry), Learning Analytics, Data Collection, Cognitive Processes

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