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El Aissaoui, Ouafae; El Alami El Madani, Yasser; Oughdir, Lahcen; El Allioui, Youssouf – Education and Information Technologies, 2019
Adaptive E-learning platforms provide personalized learning process relying mainly on learning styles. The traditional approach to find learning styles depends on asking learners to self-evaluate their own attitudes and behaviors through surveys and questionnaires. This approach presents several weaknesses including the lack of self-awareness of…
Descriptors: Classification, Cognitive Style, Models, Electronic Learning
Vanlommel, Kristin; Schildkamp, Kim – American Educational Research Journal, 2019
This study examines the way teachers make sense of data in the context of high-stakes decision making, such as decisions related to student placement in educational tracks. Different types of data, data collected rationally and intuitively, may be used in this sensemaking process, and the same data may be interpreted in different ways by different…
Descriptors: High Stakes Tests, Decision Making, Data Use, Intuition
Pavlin, Samo – European Journal of Education, 2019
The "employability" paradigm is beginning to be publicly regarded as one of the key developmental paths and "modernisation" principles of higher education institutions. In this context, the article first overviews the existing practices for tracking graduates' early careers in Europe. Next, it identifies and discusses relevant…
Descriptors: College Graduates, Employment Potential, Higher Education, Careers
Delucchi, Michael – Journal of the Scholarship of Teaching and Learning, 2019
College professors have adopted numerous strategies for teaching undergraduates, yet few researchers provide empirical evidence students' learning actually increased because of the instructional innovation. Assessment of pedagogy is frequently subjective and based on comments from students or faculty. Consequently, evaluating the effectiveness of…
Descriptors: Quasiexperimental Design, Multivariate Analysis, Pretests Posttests, Student Evaluation
Groth, Randall E. – Journal of Statistics Education, 2019
The Common Core State Standards for Mathematics have a widespread impact on children's statistical learning opportunities. The Grade 6 standards are particularly ambitious in the goals they set. In this critique, experiences helping children work toward the Grade 6 Common Core statistics expectations are used in conjunction with previous research…
Descriptors: Common Core State Standards, Grade 4, Grade 5, Grade 6
Hu, Xiangen; Cai, Zhiqiang; Hampton, Andrew J.; Cockroft, Jody L.; Graesser, Arthur C.; Copland, Cameron; Folsom-Kovarik, Jeremiah T. – Grantee Submission, 2019
In this paper, we consider a minimalistic and behavioristic view of AIS to enable a standardizable mapping of both the behavior of the system and of the learner. In this model, the "learners" interact with the learning "resources" in a given learning "environment" following preset steps of learning…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Metadata, Behavior Patterns
Tandberg, David A.; Martin, Rebecca A. – State Higher Education Executive Officers, 2019
Higher education is facing a host of challenges, including external questions regarding its value and purpose. These questions cut to the core of the states' role in higher education. Traditionally, states have the responsibility to ensure that institutions of higher education are operating in the public interest and that the institutions are good…
Descriptors: Quality Assurance, Educational Quality, Educational Improvement, Higher Education
Sorrells, Michelle L. – ProQuest LLC, 2019
Administrators at a Southeastern elementary school eliminated single-sex instructional grouping in 5th-grade classes without a proper analysis of all available data and later reflected upon whether this instructional model should be revived. Because data-based decisions may positively improve teaching and learning for all stakeholders, the purpose…
Descriptors: Single Sex Classes, Elementary Schools, Data Use, Decision Making
Universities UK, 2019
Longitudinal Education Outcomes (LEO) data provides information on how much UK graduates of different courses at different universities are earning, either one, three or five years since graduating. This briefing gives an overview of what LEO data is and how it can be useful to students, policy makers and higher education institutions. It also…
Descriptors: Foreign Countries, Educational Research, Longitudinal Studies, Data Use
Yang, Edith; Aceves, Aurelia De La Rosa; Tomlinson, Gloria – MDRC, 2019
Workforce development organizations often find it challenging to assess how former program participants are faring in the labor market, since they need to rely on participants' willingness to report and verify their job placements after they either leave or complete their programs. The 2013 Unemployment Insurance Data Sharing Bill (S5773A) amended…
Descriptors: Community Organizations, Labor Force Development, Data Use, Unemployment
Bohorquez, Carlos; Marquet, Pascal – International Association for Development of the Information Society, 2019
This paper describes the first stages on the development of a design method of digital trainings using the collaborative authoring tool "ALO". Based on the theory of instrumental conflict (Marquet, 2005), this method highlights the necessity of the design digital trainings under the optimal harmonization for users/learners in didactic,…
Descriptors: Instructional Design, Programming, Conflict, Teaching Methods
Hagan, Katherine; Jarmolowski, Hannah; Roza, Marguerite – Building State Capacity and Productivity Center, 2019
The Every Student Succeeds Act (ESSA) requires that state education agencies (SEAs) conduct periodic resource allocation reviews (RARs) in districts that serve low-performing schools. The mandate represents a new opportunity for states and districts to examine the connection between resource allocation and academic outcomes, but the language of…
Descriptors: State Departments of Education, Resource Allocation, Guidelines, Educational Legislation
Maruyama, Yukiko – International Association for Development of the Information Society, 2019
This paper presents the results of an attempt to analyze the benefits and risks of information and communication technologies (ICTs) and their applications, as perceived by university students. A survey was conducted using questionnaire with a free descriptive answering format. Responses were analyzed via text mining and correspondence analysis;…
Descriptors: Risk, Computer Software, College Students, Student Attitudes
Ortiz, Anna Maria – US Government Accountability Office, 2019
The 101 Historically Black Colleges and Universities (HBCUs) play an important role in higher education and in their local and regional economies. Among African Americans who obtained a doctorate in science, technology, engineering, or mathematics in 2005-2010, more than one-third earned their undergraduate degrees from an HBCU. The Government…
Descriptors: Black Colleges, Partnerships in Education, Entrepreneurship, Public Policy
Cusumano, D.; Preston, A. – National Implementation Research Network, 2019
Practice Profiles provide structure to the process of making a practice teachable, learnable, and assessable. This Coaching Practice Profile synthesizes research on coaching best practices to guide development of learning modules, training supports, and infrastructure for effective and efficient coaching.
Descriptors: Coaching (Performance), Best Practices, Educational Objectives, Training Objectives

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