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Zhengyuan Liu – Education and Information Technologies, 2024
This study investigates the differential impacts of various online language assessment models--specifically, the Nonlinear Dynamic Individual-Centered Language Assessment (NDICLA), diagnostic assessment, and formative assessment--on the cognitive load and learning outcomes of English as a Foreign Language (EFL) learners within computer-assisted…
Descriptors: Computer Assisted Testing, Student Evaluation, Models, Second Language Learning
Finkelstein, Idit; Soffer-Vital, Shira; Shraga-Roitman, Yael; Cohen-Liverant, Revital; Grebelsky-Lichtman, Tsfira – International Journal of Higher Education, 2022
Due to COVID-19, the world has encountered new challenges regarding pedagogy, learning, assessment, and evaluation. In meeting these challenges, there have been rapid changes in learning, and the gap between pedagogy and evaluation has grown. The purpose of this paper is to develop a new evaluative model suitable for the technologically enhanced,…
Descriptors: Student Evaluation, Evaluation Methods, Models, Culturally Relevant Education
Azevedo, Ana, Ed.; Azevedo, José, Ed. – IGI Global, 2019
E-assessments of students profoundly influence their motivation and play a key role in the educational process. Adapting assessment techniques to current technological advancements allows for effective pedagogical practices, learning processes, and student engagement. The "Handbook of Research on E-Assessment in Higher Education"…
Descriptors: Higher Education, Computer Assisted Testing, Multiple Choice Tests, Guides
Sharma, Manjula Devi; Bewes, James – Journal of Learning Design, 2011
Metacognition is the higher-order monitoring that deals with a person's regulation of thought processes and governs learning strategies and understanding in an instructional setting. The ability to appraise and judge the quality of one's own cognitive work in the course of doing it is self-monitoring. If the work needs to be done within a short…
Descriptors: Models, Academic Achievement, Learning Strategies, Self Esteem
Greiff, Samuel; Wustenberg, Sascha; Molnar, Gyongyver; Fischer, Andreas; Funke, Joachim; Csapo, Beno – Journal of Educational Psychology, 2013
Innovative assessments of cross-curricular competencies such as complex problem solving (CPS) have currently received considerable attention in large-scale educational studies. This study investigated the nature of CPS by applying a state-of-the-art approach to assess CPS in high school. We analyzed whether two processes derived from cognitive…
Descriptors: Foreign Countries, Problem Solving, Difficulty Level, Elementary Secondary Education
Greiff, Samuel; Kretzschmar, André; Müller, Jonas C.; Spinath, Birgit; Martin, Romain – Journal of Educational Psychology, 2014
The 21st-century work environment places strong emphasis on nonroutine transversal skills. In an educational context, complex problem solving (CPS) is generally considered an important transversal skill that includes knowledge acquisition and its application in new and interactive situations. The dynamic and interactive nature of CPS requires a…
Descriptors: Computer Assisted Testing, Problem Solving, Difficulty Level, Information Technology
Chen, Yao-Hsien; Cheng, Ching-Hsue; Liu, Jing-Wei – Computers & Education, 2010
In order to evaluate student learning achievement, several aspects should be considered, such as exercises, examinations, and observations. Traditionally, such an evaluation calculates a final score using a weighted average method after awarding numerical scores, and then determines a grade according to a set of established crisp criteria.…
Descriptors: Feedback (Response), Academic Achievement, Student Evaluation, Grading
Du, Chan – American Journal of Business Education, 2011
This paper examines whether a blended course that introduces lower-level education online learned by students before they come into class and after class online assignments and online discussions enhances student performance for an introductory principles of accounting course over the period 2009-2010. The blended course design includes (1)…
Descriptors: Accounting, Conventional Instruction, Blended Learning, Classification
Gray, James J. – ProQuest LLC, 2010
The purpose of this study was to answer the question: Are principals good at identifying effective teachers? Some studies have suggested they are not, but the evidence is not consistent. It is troubling that research results are inconsistent regarding principals' abilities to identify effective teachers. Why is there a disconnect between…
Descriptors: Principals, Teacher Evaluation, Identification, Teacher Effectiveness
Rieke, Rebekah L.; Lazarus, Sheryl S.; Thurlow, Martha L.; Dominguez, Lauren M. – National Center on Educational Outcomes, 2013
This report summarizes the thirteenth survey of states by the National Center on Educational Outcomes (NCEO) at the University of Minnesota. Results are presented for 49 states and 6 of the 11 unique states. The purpose of this report is to provide a snapshot of the new initiatives, trends, accomplishments, and emerging issues during this…
Descriptors: State Surveys, Success, Barriers, Performance Factors
Nering, Michael L., Ed.; Ostini, Remo, Ed. – Routledge, Taylor & Francis Group, 2010
This comprehensive "Handbook" focuses on the most used polytomous item response theory (IRT) models. These models help us understand the interaction between examinees and test questions where the questions have various response categories. The book reviews all of the major models and includes discussions about how and where the models…
Descriptors: Guides, Item Response Theory, Test Items, Correlation
Retnowati, Endah, Ed.; Suprapto, Ed.; Jerusalem, Mohammad Adam, Ed.; Sugiyarto, Kristian, Ed.; Wagiran, Ed. – Routledge, Taylor & Francis Group, 2018
This proceedings volume of InCoTEPD 2018 covers many ideas for handling a wide variety of challenging issues in the field of education. The outstanding ideas dealing with these issues result in innovation of the system. There are many innovation strategies resulting from recent research that are discussed in this book. These strategies will become…
Descriptors: Educational Innovation, Knowledge Level, Skill Development, Vocational Education
Boyer, Kristy Elizabeth, Ed.; Yudelson, Michael, Ed. – International Educational Data Mining Society, 2018
The 11th International Conference on Educational Data Mining (EDM 2018) is held under the auspices of the International Educational Data Mining Society at the Templeton Landing in Buffalo, New York. This year's EDM conference was highly competitive, with 145 long and short paper submissions. Of these, 23 were accepted as full papers and 37…
Descriptors: Data Collection, Data Analysis, Computer Science Education, Program Proposals
Stamper, John, Ed.; Pardos, Zachary, Ed.; Mavrikis, Manolis, Ed.; McLaren, Bruce M., Ed. – International Educational Data Mining Society, 2014
The 7th International Conference on Education Data Mining held on July 4th-7th, 2014, at the Institute of Education, London, UK is the leading international forum for high-quality research that mines large data sets in order to answer educational research questions that shed light on the learning process. These data sets may come from the traces…
Descriptors: Information Retrieval, Data Processing, Data Analysis, Data Collection
Hu, Xiangen, Ed.; Barnes, Tiffany, Ed.; Hershkovitz, Arnon, Ed.; Paquette, Luc, Ed. – International Educational Data Mining Society, 2017
The 10th International Conference on Educational Data Mining (EDM 2017) is held under the auspices of the International Educational Data Mining Society at the Optics Velley Kingdom Plaza Hotel, Wuhan, Hubei Province, in China. This years conference features two invited talks by: Dr. Jie Tang, Associate Professor with the Department of Computer…
Descriptors: Data Analysis, Data Collection, Graphs, Data Use
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