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Enstrom, Emma; Kann, Viggo – ACM Transactions on Computing Education, 2017
When compared to earlier programming and data structure experiences that our students might have, the perspective changes on computers and programming when introducing theoretical computer science into the picture. Underlying computational models need to be addressed, and mathematical tools employed, to understand the quality criteria of…
Descriptors: Difficulty Level, Computer Science Education, Undergraduate Students, Programming
Taherbhai, Husein; Seo, Daeryong; Bowman, Trinell – British Educational Research Journal, 2012
Literature in the United States provides many examples of no difference in student achievement when measured against the mode of test administration i.e., paper-pencil and online versions of the test. However, most of these researches centre on "regular" students who do not require differential teaching methods or different evaluation…
Descriptors: Learning Disabilities, Statistical Analysis, Teaching Methods, Test Format
Jaime Pastor, Asuncion; Perez Guillot, Cristina; Candel-Mora, Miguel A. – Language Learning in Higher Education, 2012
One of the main problems relating to language courses offered at language centres is measuring the students' entry-level skills in a fast, efficient and reliable way. This problem is particularly acute in language centres with large numbers of students, especially at the beginning of the academic year, as a mechanism has to be implemented which…
Descriptors: Language Tests, Student Placement, Prior Learning, Computer Assisted Testing
Edwards, Michael C.; Flora, David B.; Thissen, David – Applied Measurement in Education, 2012
This article describes a computerized adaptive test (CAT) based on the uniform item exposure multi-form structure (uMFS). The uMFS is a specialization of the multi-form structure (MFS) idea described by Armstrong, Jones, Berliner, and Pashley (1998). In an MFS CAT, the examinee first responds to a small fixed block of items. The items comprising…
Descriptors: Adaptive Testing, Computer Assisted Testing, Test Format, Test Items
Choi, Seung W.; Podrabsky, Tracy; McKinney, Natalie – Applied Psychological Measurement, 2012
Computerized adaptive testing (CAT) enables efficient and flexible measurement of latent constructs. The majority of educational and cognitive measurement constructs are based on dichotomous item response theory (IRT) models. An integral part of developing various components of a CAT system is conducting simulations using both known and empirical…
Descriptors: Computer Assisted Testing, Adaptive Testing, Computer Software, Item Response Theory
Ee, Mong Shan; Yeoh, William; Boo, Yee Ling; Boulter, Terry – Studies in Higher Education, 2018
Time control plays a critical role within the online mastery learning (OML) approach. This paper examines the two commonly implemented mastery learning strategies--personalised system of instructions and learning for mastery (LFM)--by focusing on what occurs when there is an instructional time constraint. Using a large data set from a postgraduate…
Descriptors: Foreign Countries, Graduate Students, Time Management, Electronic Learning
Galaczi, Evelina; Taylor, Lynda – Language Assessment Quarterly, 2018
This article on interactional competence provides an overview of the historical influences that have shaped theoretical conceptualisations of this construct as it relates to spoken language use, leading to the current view of it as involving both cognitive and social dimensions, and then describes its operationalisation in tests and assessment…
Descriptors: Communicative Competence (Languages), Second Language Learning, Language Tests, Evaluation Criteria
Rupp, André A. – Applied Measurement in Education, 2018
This article discusses critical methodological design decisions for collecting, interpreting, and synthesizing empirical evidence during the design, deployment, and operational quality-control phases for automated scoring systems. The discussion is inspired by work on operational large-scale systems for automated essay scoring but many of the…
Descriptors: Design, Automation, Scoring, Test Scoring Machines
Zalla, Tiziana; Seassau, Magali; Cazalis, Fabienne; Gras, Doriane; Leboyer, Marion – Autism: The International Journal of Research and Practice, 2018
In this study, we examined the accuracy and dynamics of visually guided saccades in 20 adults with autism spectrum disorder, as compared to 20 typically developed adults using the Step/Overlap/Gap paradigms. Performances in participants with autistic spectrum disorder were characterized by preserved Gap/Overlap effect, but reduced gain and peak…
Descriptors: Eye Movements, Adults, Pervasive Developmental Disorders, Autism
Eteläpeltoa, Anneli; Kykyri, Virpi-Liisa; Penttonen, Markku; Hökkä, Päivi; Paloniemi, Susanna; Vähäsantanen, Katja; Eteläpelto, Tuomas; Lappalainen, Vesa – Frontline Learning Research, 2018
Studies on emotions in learning are often based on interviews conducted after the learning. These do not capture the multi-componential nature of emotions, nor how emotions are related to the processes of learning. We see emotions as dimensional, multi-componential responses to personally meaningful events and situations. In this methodologically…
Descriptors: Emotional Response, Learning Processes, Professional Development, Measurement Techniques
Ramineni, Chaitanya; Williamson, David – ETS Research Report Series, 2018
Notable mean score differences for the "e-rater"® automated scoring engine and for humans for essays from certain demographic groups were observed for the "GRE"® General Test in use before the major revision of 2012, called rGRE. The use of e-rater as a check-score model with discrepancy thresholds prevented an adverse impact…
Descriptors: Scores, Computer Assisted Testing, Test Scoring Machines, Automation
Akbarov, Azamat; Gönen, Kemal; Aydogan, Hakan – Acta Didactica Napocensia, 2018
The scope of this article is an investigation into students' attitudes toward blended learning and related concepts (e.g. paperless and traditional classroom). There were 162 students who participated in this study (100 females and 62 males, with the mean age of 18.80 and its standard deviation of 1.16). The study revealed that students prefer…
Descriptors: Student Attitudes, Blended Learning, Educational Technology, Technology Uses in Education
The Impact of Expanded Access and Increased Engagement and the Effect on Closing the Achievement Gap
St. John, Amy Lynn – ProQuest LLC, 2018
Considering instructional time is one of the most valuable and expensive resources in public education, there is nominal research examining the effectiveness of its use (Farbman, 2015). The purpose of this study was to determine the correlation between the amount of extended learning time provided to eligible students at least one grade level…
Descriptors: Academic Achievement, Achievement Gap, Correlation, Computer Assisted Testing
Allen, Laura K.; Likens, Aaron D.; McNamara, Danielle S. – Grantee Submission, 2018
The assessment of writing proficiency generally includes analyses of the specific linguistic and rhetorical features contained in the singular essays produced by students. However, researchers have recently proposed that an individual's ability to flexibly adapt the linguistic properties of their writing might more closely capture writing skill.…
Descriptors: Writing Evaluation, Writing Tests, Computer Assisted Testing, Writing Skills
He, Wei; Reckase, Mark D. – Educational and Psychological Measurement, 2014
For computerized adaptive tests (CATs) to work well, they must have an item pool with sufficient numbers of good quality items. Many researchers have pointed out that, in developing item pools for CATs, not only is the item pool size important but also the distribution of item parameters and practical considerations such as content distribution…
Descriptors: Item Banks, Test Length, Computer Assisted Testing, Adaptive Testing

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