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Lee, Chia-An; Huang, Nen-Fu; Tzeng, Jian-Wei; Tsai, Pin-Han – IEEE Transactions on Learning Technologies, 2023
Massive open online courses offer a valuable platform for efficient and flexible learning. They can improve teaching and learning effectiveness by enabling the evaluation of learning behaviors and the collection of feedback from students. The knowledge map approach constitutes a suitable tool for evaluating and presenting students' learning…
Descriptors: Artificial Intelligence, MOOCs, Concept Mapping, Student Evaluation
Yürüm, Ozan Rasit; Taskaya-Temizel, Tugba; Yildirim, Soner – Education and Information Technologies, 2023
Video clickstream behaviors such as pause, forward, and backward offer great potential for educational data mining and learning analytics since students exhibit a significant amount of these behaviors in online courses. The purpose of this study is to investigate the predictive relationship between video clickstream behaviors and students' test…
Descriptors: Video Technology, Educational Technology, Learning Management Systems, Data Collection
Florida Department of Education, 2023
The purpose of this technical assistance paper is to assist education leaders and administrators in the consistent implementation of the Florida Career and Professional Education (CAPE) Act in Section 1003.491, Florida Statutes (F.S.). This technical assistance paper addresses questions on recent legislation, funding, and data reporting. [For the…
Descriptors: State Legislation, Vocational Education, Educational Legislation, Certification
Nicholas Raikes – Research Matters, 2019
Big international assessment organisations like Cambridge Assessment have long held considerable amounts of data. When text is produced digitally, we can do more with it. Surprisingly to many, there have been examples of automatic scoring of extended writing for around 20 years, though what works well in one context may not be applicable in all…
Descriptors: Data Collection, Data Analysis, Evaluation, Technology Uses in Education
Inga Fokken; Ilka Staub; Tobias Vogt – Journal of Teaching in Physical Education, 2024
Purpose: This study aims to investigate how physical education teachers analyze their students' swimming skills. Particular attention is given to information gathering within the diagnostic process. Methods: Data were collected from a quantitative online survey of German physical education teachers from primary and secondary schools (n = 551).…
Descriptors: Physical Education Teachers, Aquatic Sports, Psychomotor Skills, Student Evaluation
Cui, Zhongmin – Educational Measurement: Issues and Practice, 2020
Thanks to COVID-19, schools were closed and tests were canceled. The result is that we may not see test-taking data typically seen before. For some analyses, sample sizes may not meet the minimum requirement. For others, the sample of test-takers may be different from previous years. In some situation, there may be no data at all. What do we do in…
Descriptors: Testing, Sample Size, Data Collection, COVID-19
Baldwin, Peter; Clauser, Brian E. – Journal of Educational Measurement, 2022
While score comparability across test forms typically relies on common (or randomly equivalent) examinees or items, innovations in item formats, test delivery, and efforts to extend the range of score interpretation may require a special data collection before examinees or items can be used in this way--or may be incompatible with common examinee…
Descriptors: Scoring, Testing, Test Items, Test Format
Pakenham, Caroline; Olson, Bethany – National Association of State Boards of Education, 2021
By the time a child graduates from high school, they will have spent an estimated 15,600 hours at school. Because a significant amount of children's daily water intake comes from school water fountains, ensuring their access to safe drinking water at school is essential for their overall health. And one key health challenge that schools across the…
Descriptors: Water Pollution, Testing, Intervention, State Boards of Education
Center for IDEA Early Childhood Data Systems (DaSy), 2019
The long-term goal of the State Systemic Improvement Plan (SSIP) and other federal and state early intervention and early childhood education initiatives is improved child and family outcomes. States play a critical role in supporting practitioners in the use of evidence-based practices to improve child and family outcomes. When practitioners…
Descriptors: Evidence Based Practice, Early Intervention, Early Childhood Education, Data Collection
Betebenner, Damian W.; Wenning, Richard J. – National Center for the Improvement of Educational Assessment, 2021
In "Understanding Pandemic Learning Loss and Learning Recovery: The Role of Student Growth & Statewide Testing" we show how states, with spring 2021 assessment data together with student growth results derived from it, are positioned to address critical questions regarding academic learning loss. Answers to these questions, together…
Descriptors: COVID-19, Pandemics, Academic Achievement, Achievement Gains
Clery, Sue; Frye, Bobbie E. – New Directions for Community Colleges, 2018
This chapter identifies some of the challenges surrounding data collection and analysis regarding development students, including testing and identifying academic needs, placement determination, and measuring student outcomes.
Descriptors: Developmental Studies Programs, Data Collection, Data Analysis, Testing
Florida Department of Education, 2021
The purpose of this technical assistance paper is to assist education leaders and administrators in the consistent implementation of the Florida Career and Professional Education (CAPE) Act in Section 1003.491, Florida Statutes (F.S.). This technical assistance paper addresses questions on the legislation, funding, and data reporting.
Descriptors: State Legislation, Vocational Education, Educational Legislation, Certification
Danielle S. McNamara; Tracy Arner; Elizabeth Reilley; Paul Alvarado; Chani Clark; Thomas Fikes; Annie Hale; Betheny Weigele – Grantee Submission, 2022
Accounting for complex interactions between contextual variables and learners' individual differences in aptitudes and background requires building the means to connect and access learner data at large scales, across time, and in multiple contexts. This paper describes the ASU Learning@Scale (L@S) project to develop a digital learning network…
Descriptors: Electronic Learning, Educational Technology, Networks, Learning Analytics
Mariann Lemke; Dan Murphy; Aaron Soo Ping Chow; Angela Acuña – WestEd, 2024
Beginning with the 2020/21 school year, the Massachusetts Department of Elementary and Secondary Education (DESE) began an ongoing effort to collect and analyze literacy screening assessment data from schools and districts participating in certain state grants to inform improvement efforts. Grantee schools and districts that provide literacy…
Descriptors: Grants, Benchmarking, At Risk Students, Reading Difficulties
Kevin O’Farrell – Florida Department of Education, 2023
This technical assistance paper provides policy and guidance to individuals with test administration responsibilities in adult education programs. The Florida assessment policies and guidelines presented in this technical assistance paper are appropriate for state and federal reporting. Therefore, guidance and procedures regarding the selection…
Descriptors: Adult Education, Testing, Achievement Gains, Outcome Measures

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