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A Generalizable Framework for Multi-Scale Auditing of Digital Learning Provision in Higher Education
Ross, Samuel R. P-J.; Volz, Veronica; Lancaster, Matthew K.; Divan, Aysha – Online Learning, 2018
It is increasingly important that higher education institutions be able to audit and evaluate the scope and efficacy of their digital learning resources across various scales. To date there has been little effort to address this need for a validated, appropriate, and simple-to-execute method that will facilitate such an audit, whether it be at the…
Descriptors: Higher Education, Audits (Verification), Electronic Learning, Educational Resources
Cetin, Bayram; Guler, Nese; Sarica, Rabia – Eurasian Journal of Educational Research, 2016
Problem Statement: In addition to being teaching tools, concept maps can be used as effective assessment tools. The use of concept maps for assessment has raised the issue of scoring them. Concept maps generated and used in different ways can be scored via various methods. Holistic and relational scoring methods are two of them. Purpose of the…
Descriptors: Generalizability Theory, Concept Mapping, Scoring, Scoring Formulas
Leslie, Laura J.; Gorman, Paul C. – European Journal of Engineering Education, 2017
Student engagement is vital in enhancing the student experience and encouraging deeper learning. Involving students in the design of assessment criteria is one way in which to increase student engagement. In 2011, a marking matrix was used at Aston University (UK) for logbook assessment (Group One) in a project-based learning module. The next…
Descriptors: Undergraduate Students, Evaluation Criteria, Student Participation, Learner Engagement
Holster, Trevor A.; Lake, J. – Language Assessment Quarterly, 2016
Stewart questioned Beglar's use of Rasch analysis of the Vocabulary Size Test (VST) and advocated the use of 3-parameter logistic item response theory (3PLIRT) on the basis that it models a non-zero lower asymptote for items, often called a "guessing" parameter. In support of this theory, Stewart presented fit statistics derived from…
Descriptors: Guessing (Tests), Item Response Theory, Vocabulary, Language Tests
Taskinen, Päivi H.; Steimel, Jochen; Gräfe, Linda; Engell, Sebastian; Frey, Andreas – Peabody Journal of Education, 2015
This study examined students' competencies in engineering education at the university level. First, we developed a competency model in one specific field of engineering: process dynamics and control. Then, the theoretical model was used as a frame to construct test items to measure students' competencies comprehensively. In the empirical…
Descriptors: Models, Engineering Education, Test Items, Outcome Measures
Hadžibegovic, Zalkida; Sliško, Josip – Center for Educational Policy Studies Journal, 2013
Active learning is individual and group participation in effective activities such as in-class observing, writing, experimenting, discussion, solving problems, and talking about to-be-learned topics. Some instructors believe that active learning is impossible, or at least extremely difficult to achieve in large lecture sessions. Nevertheless, the…
Descriptors: Student Attitudes, Attitude Change, Optics, Active Learning
Nunes, Miguel Baptista, Ed.; McPherson, Maggie, Ed. – International Association for Development of the Information Society, 2016
These proceedings contain the papers of the International Conference e-Learning 2016, which was organised by the International Association for Development of the Information Society, 1-3 July, 2016. This conference is part of the Multi Conference on Computer Science and Information Systems 2016, 1-4 July. The e-Learning (EL) 2016 conference aims…
Descriptors: Professional Associations, Conferences (Gatherings), Electronic Learning, Computer Science Education
Childs, Roy – 1976
The norm-referenced score scale used by the National Foundation for Educational Research (NFER) is described. The usefulness of standardized scores is explained by a simple numerical example, and the formulas and computations are shown for calculating a mean, a standard deviation, and a deviation or z score. The need for a representative sample is…
Descriptors: Computation, Foreign Countries, Guides, Mathematical Formulas