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Maciejewski, Wes – PRIMUS, 2021
What if your students could access "any" resource during a test? How would they react? How would "you" react? This paper presents some results from a trial of allowing students access to notes, calculators, and any device connected to the internet, which occurred during a midterm in a second-year ordinary differential equations…
Descriptors: Mathematics Instruction, College Mathematics, Undergraduate Students, Mathematics Tests
Schrempft, S.; Piumatti, G.; Gerbase, M. W.; Baroffio, A. – Advances in Health Sciences Education, 2021
This study examined conscientiousness and the perceived educational environment as independent and interactive predictors of medical students' performance within Biggs' theoretical model of learning. Conscientiousness, the perceived educational environment, and learning approaches were assessed at the beginning of the third year in 268 medical…
Descriptors: Undergraduate Students, Medical Students, Educational Environment, Predictor Variables
Renner, Elizabeth; Somai, Rosyl S.; Van der Stigchel, Stefan; Campbell, Clare; Kean, Donna; Caldwell, Christine A. – Infant and Child Development, 2021
Assessing children's working memory capacity (WMC) can be challenging for a variety of reasons, including the rapid increase in WMC across early childhood. Here, we developed and piloted an adapted WMC task, which involved minimal equipment, could be performed rapidly, and did not rely on verbal production ability (to facilitate the use of the…
Descriptors: Task Analysis, Short Term Memory, Child Development, Computer Assisted Testing
de Jong, Nivja H.; Pacilly, Jos; Heeren, Willemijn – Assessment in Education: Principles, Policy & Practice, 2021
Fluency in terms of speed of speech and (lack of) hesitations such as silent and filled pauses ('uhm's) is part of oral proficiency. Language assessment rubrics therefore include aspects of fluency. Measuring fluency, however, is highly time-consuming because of the manual labour involved. The current paper aims to automatically measure aspects of…
Descriptors: Language Fluency, Speech Skills, Second Languages, Indo European Languages
Fisher, Jonathan – set: Research Information for Teachers, 2021
The Assessment Resource Banks (ARBs) offer an innovative space to explore how responsive assessment for learning can work off- and online with Aotearoa New Zealand teaching and learning situations. They are a freely available online repository of formative assessment tasks that link to "The New Zealand Curriculum" (Ministry of Education,…
Descriptors: Foreign Countries, Formative Evaluation, Computer Assisted Testing, Multiple Choice Tests
Kharchenko, Tetiana; Semashko, T?t?ana; Dolynskiy, Ievgen; Bespala, Liliia; Ivanova, Tetiana – Journal of Curriculum and Teaching, 2021
The "purpose" of the study is to identify how the speech production component of the linguistic competence, which seems to be a deficiency of using the Moodle LMS in the language training, can be enhanced through the use of the voice-administered language tests. Ten Moodle-based voice-administered language tests were designed, piloted,…
Descriptors: Online Courses, Computer Assisted Testing, Linguistic Competence, Majors (Students)
Morgan, Kelsey; Adams, Erin; Elsobky, Teresa; Darr, Amber; Brackbill, Marcia – Online Learning, 2021
The COVID-19 pandemic required academic institutions to quickly transition to online learning and make changes to assessment procedures. This study examines how a school of pharmacy creatively approached the challenge of online assessment while maintaining the standards necessary to prepare practice-ready student pharmacists. To conduct…
Descriptors: Computer Assisted Testing, Pharmaceutical Education, COVID-19, Pandemics
Olney, Andrew M.; Gilbert, Stephen B.; Rivers, Kelly – Grantee Submission, 2021
Cyberlearning technologies increasingly seek to offer personalized learning experiences via adaptive systems that customize pedagogy, content, feedback, pace, and tone according to the just-in-time needs of a learner. However, it is historically difficult to: (1) create these smart learning environments; (2) continuously improve them based on…
Descriptors: Educational Technology, Computer Assisted Instruction, Learning Analytics, Intelligent Tutoring Systems
Senadheera, Prasad; Kulasekara, Geetha Udayangani – Open Praxis, 2021
COVID-19 outbreak brought about many challenges including the shifting of university assessments to conduct in online mode. This research study tries to explore the impact of newly designed online formative assessments on students' learning, in a Plant Physiology course. The designing of assessments were carried out focusing on constructive…
Descriptors: Formative Evaluation, Evaluation Methods, Electronic Learning, Educational Environment
Goodwin, Amanda P.; Petscher, Yaacov; Reynolds, Dan – Grantee Submission, 2021
Purpose: This study explores the roles of morphological skills (Morphological Awareness, Morphological-Syntactic-Knowledge, Morphological-Semantic-Knowledge, and Morphological-Orthographic/Phonological-Knowledge), vocabulary (knowledge of definitions, relationships between words, and polysemous meanings), and syntax in contributing to adolescent…
Descriptors: Reading Comprehension, Morphology (Languages), Metalinguistics, Syntax
Lu, Chang; Cutumisu, Maria – International Educational Data Mining Society, 2021
Digitalization and automation of test administration, score reporting, and feedback provision have the potential to benefit large-scale and formative assessments. Many studies on automated essay scoring (AES) and feedback generation systems were published in the last decade, but few connected AES and feedback generation within a unified framework.…
Descriptors: Learning Processes, Automation, Computer Assisted Testing, Scoring
Wood, Scott; Yao, Erin; Haisfield, Lisa; Lottridge, Susan – ACT, Inc., 2021
For assessment professionals who are also automated scoring (AS) professionals, there is no single set of standards of best practice. This paper reviews the assessment and AS literature to identify key standards of best practice and ethical behavior for AS professionals and codifies those standards in a single resource. Having a unified set of AS…
Descriptors: Standards, Best Practices, Computer Assisted Testing, Scoring
Nordenswan, Elisabeth; Kataja, Eeva-Leena; Deater-Deckard, Kirby; Korja, Riikka; Karrasch, Mira; Laine, Matti; Karlsson, Linnea; Karlsson, Hasse – SAGE Open, 2020
This study tested whether executive functioning (EF)/learning tasks from the CogState computerized test battery show a unitary latent structure. This information is important for the construction of composite measures on these tasks for applied research purposes. Based on earlier factor analytic research, we identified five CogState tasks that…
Descriptors: Executive Function, Cognitive Tests, Test Items, Computer Assisted Testing
Lottridge, Sue; Burkhardt, Amy; Boyer, Michelle – Educational Measurement: Issues and Practice, 2020
In this digital ITEMS module, Dr. Sue Lottridge, Amy Burkhardt, and Dr. Michelle Boyer provide an overview of automated scoring. Automated scoring is the use of computer algorithms to score unconstrained open-ended test items by mimicking human scoring. The use of automated scoring is increasing in educational assessment programs because it allows…
Descriptors: Computer Assisted Testing, Scoring, Automation, Educational Assessment
Luo, Zhanni; O'Steen, Billy; Brown, Cheryl – Interactive Technology and Smart Education, 2020
Purpose: To build adaptive learning systems for a better learning experience, designers need to identify users' behaviour patterns and provide adaptive learning materials accordingly. This study involved a quasi-experiment and also this paper aims to investigate the accuracy of eye-tracking technology in identifying visualisers and verbalisers and…
Descriptors: Eye Movements, Computer Assisted Testing, Educational Technology, Cognitive Style

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