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Qiyang Zhang; Amanda Neitzel – Journal of Research on Educational Effectiveness, 2024
In recent years, the rapid development of artificial intelligence has enabled the launch of many new screening tools. This review aims to facilitate screening tool selection through a systematic narrative review and feature analysis. The current adoption rate of transparent tool reporting is low: by screening 191 studies published in the…
Descriptors: Selection Tools, Educational Resources, Artificial Intelligence, Selection Criteria
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Nico Willert; Jonathan Thiemann – Technology, Knowledge and Learning, 2024
Manual composition of tasks and exams is a challenging and time-consuming task. Especially when exams are taken remotely without the personal monitoring by examiners, most exams can easily lose their integrity with the use of previously done exercises or student communication. This research introduces an approach that incorporates the principles…
Descriptors: Tests, Examiners, Foreign Countries, Multiple Choice Tests
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Anne Jumonville Graf – Communications in Information Literacy, 2024
The process of determining whether a source of information is relevant is multidimensional, dynamic, and subjective. This essay puts information science scholarship on relevance, including the process and nature of making relevance judgments, in conversation with models of teaching and learning information literacy. Teaching librarians are…
Descriptors: Relevance (Education), Information Literacy, Literacy Education, Information Sources
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Christ, Tanya; Arya, Poonam; Chiu, Ming Ming – Journal of Education and Learning, 2023
The DigiLit Framework suggests criteria for digital text and tool selection (content accuracy, intuitiveness, interactivity, quality) and integration (model a literacy skill or strategy, guide a literacy skill or strategy, model digital feature use, guide digital feature use) in literacy lessons. Using survey research, we explored which DigiLit…
Descriptors: Educational Technology, Technology Integration, Media Selection, Selection Tools
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Lelis, Catarina – Design and Technology Education, 2021
University students often struggle with choosing a topic for their final projects due to the lack of a supporting and defining framework for said selection. Should the student be oriented toward reflecting on how each of the possible topics to choose from can become an impactful project in the short, mid and long run, maybe that selection becomes…
Descriptors: Student Projects, Design, Selection Tools, Visualization
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Zhiyong Qiu; Yingjin Cui – SAGE Open, 2024
Faced the vast amount of information, choosing the appropriate materials is a prerequisite for effective self-directed learning. The recommendation algorithm is a kind of intelligent technology that can accurately locate the required information which the users care about most. However, many recommendation techniques experience can not be trained…
Descriptors: College Students, Independent Study, Self Control, Library Materials
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Davis, Mark A.; Philip, Jestine; Walker, Laura – Management Teaching Review, 2022
This article outlines an active learning project that gives students hands-on experience in developing an undergraduate situational judgment test. The five-part activity models the process for constructing a situational judgment test--a tool commonly used for employee selection in organizations. The project is designed to help students assimilate…
Descriptors: Undergraduate Students, Situational Tests, Active Learning, Selection Tools
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Sherman, Steven J.; Shehane, Ronald F.; Todd, Dewey W. – Journal of Instructional Pedagogies, 2018
Colleges are increasingly offering online courses, including computer programming courses for business school students. Programming languages that are most useful to students are those that are widely used in the job market. However, the most popular computer languages change at least every three years. Therefore, the language used for instruction…
Descriptors: Programming Languages, Online Courses, Computer Science Education, Business Administration Education
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Satsangi, Rajiv; Miller, Bridget; Savage, Melissa N. – Preventing School Failure, 2019
The use of assistive technology in special education has grown over the past four decades. In inclusive settings, assistive technology plays a vital role in providing access to academic content for students with disabilities. As the role of assistive technology in secondary classrooms expands, concerns regarding student autonomy, personal…
Descriptors: Secondary School Teachers, Secondary School Students, Disabilities, Assistive Technology
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Foster, Elizabeth – Learning Professional, 2018
Engaging with materials can shape the teaching experience, teachers' practices and mindsets, and, ultimately, students' learning experiences. This issue of "Learning Professional" looks at an area of emerging interest: curriculum materials and the role they play in the daily work of educators and leaders. Educators, researchers, and…
Descriptors: Design Requirements, Instructional Material Evaluation, Media Selection, Teaching Guides
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Goldhaber, Dan; Grout, Cyrus; Huntington-Klein, Nick – Education Finance and Policy, 2017
Despite their widespread use, there is little academic evidence on whether applicant selection instruments can improve teacher hiring. We examine the relationship between two screening instruments used by Spokane Public Schools to select classroom teachers and three teacher outcomes: value added, absences, and attrition. We observe all applicants…
Descriptors: Predictive Validity, Admission (School), Public Schools, Selection Tools
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Showalter, Daniel A.; Mullet, Luke B. – Mid-Western Educational Researcher, 2017
Selection bias is a persistent, and often hidden, problem in educational research. It is the primary obstacle standing in between increasingly available large education datasets and the ability to make valid causal inferences to inform policymaking, research, and practice (Stuart, 2010). This article provides an accessible discussion on the…
Descriptors: Educational Research, Selection Criteria, Selection Tools, Bias
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Stange, Mathew; Smyth, Jolene D.; Olson, Kristen – Field Methods, 2016
Although researchers can easily select probability samples of addresses using the U.S. Postal Service's Delivery Sequence File, randomly selecting respondents within households for surveys remains challenging. Researchers often place within-household selection instructions, such as the next or last birthday methods, in survey cover letters to…
Descriptors: Mail Surveys, Research Methodology, Family (Sociological Unit), Community Surveys
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Sikkens, Elga; van San, Marion; Sieckelinck, Stijn; Boeije, Hennie; de Winter, Micha – Field Methods, 2017
Social media are useful facilitators when recruiting hidden populations for research. In our research on youth and radicalization, we were able to find and contact young people with extreme ideals through Facebook. In this article, we discuss our experiences using Facebook as a tool for finding respondents who do not trust researchers. Facebook…
Descriptors: Social Media, Qualitative Research, Participant Characteristics, Recruitment
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DiMeo, Sarah; Baxter, Mary Frances; Zapf, Susan; Pemberton, Jane; Amerih, Husny – Journal of the American Academy of Special Education Professionals, 2018
The purpose of this case study was to examine if the Matching Assistive Technology to Child Augmentative Communication Evaluation Simplified (MATCH-ACES) assessment can help a special education team select an augmentative and alternative communication (AAC) intervention for a student with special needs. Additionally, this study identified the…
Descriptors: Augmentative and Alternative Communication, Assistive Technology, Intervention, Program Effectiveness
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