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Fink, Aron; Spoden, Christian; Frey, Andreas – Education and Information Technologies, 2023
The replacement of existing technology or the introduction of novel technology into the day-to-day routines of higher education institutions is not a trivial task. Currently, many higher education institutions are faced with the challenge of replacing existing procedures for administering written exams with e-exams. To guide this process, this…
Descriptors: College Faculty, Teacher Attitudes, Intention, Computer Assisted Testing
Bahari, Akbar; Zhang, Xue; Ardasheva, Yuliya – Interactive Learning Environments, 2023
The lack of comprehensive language proficiency assessment models recognizing the nonlinearity and dynamicity of individual differences, as well as the fundamental differences between paper- and computer-assisted language assessments (CALA) served as the rationale to conduct the present study. Drawing on dynamic systems theory, a Nonlinear Dynamic…
Descriptors: Language Tests, Computer Assisted Testing, English (Second Language), Second Language Learning
Maria Fahlgren; Mats Brunström – International Journal of Mathematical Education in Science and Technology, 2025
This paper provides some insights into the use of example-generating tasks in the design of a technology-rich learning environment to enhance students' mathematical thinking. The paper reports on an early stage of a design-based research project concerning the design of tasks and associated feedback utilising the affordances provided by a combined…
Descriptors: Mathematics Instruction, Educational Technology, Technology Uses in Education, Computer Software
Joseph, Seena; Thompson, Robyn; Soobramoney, Subashnie; Wing, Jeanette Wendy – Tuning Journal for Higher Education, 2022
The COVID-19 pandemic created the need for a global change in tertiary education. Universities that traditionally relied on contact with students in physical classrooms were forced to consider modes of remote teaching to mitigate the risks of infection due to physical proximity. This study evaluates the emergency remote teaching implemented within…
Descriptors: COVID-19, Pandemics, Foreign Countries, Electronic Learning
Savi, Alexander O.; Deonovic, Benjamin E.; Bolsinova, Maria; van der Maas, Han L. J.; Maris, Gunter K. J. – Journal of Educational Data Mining, 2021
In learning, errors are ubiquitous and inevitable. As these errors may signal otherwise latent cognitive processes, tutors--and students alike--can greatly benefit from the information they provide. In this paper, we introduce and evaluate the Systematic Error Tracing (SET) model that identifies the possible causes of systematically observed…
Descriptors: Learning Processes, Cognitive Processes, Error Patterns, Models
Goecke, Benjamin; Schmitz, Florian; Wilhelm, Oliver – Journal of Intelligence, 2021
Performance in elementary cognitive tasks is moderately correlated with fluid intelligence and working memory capacity. These correlations are higher for more complex tasks, presumably due to increased demands on working memory capacity. In accordance with the binding hypothesis, which states that working memory capacity reflects the limit of a…
Descriptors: Intelligence, Cognitive Processes, Short Term Memory, Reaction Time
Ningsih, Tutuk; Yuwono, Dwi Margo; Sholehuddin, M. Sugeng; Suharto, Abdul Wachid Bambang – Journal of Social Studies Education Research, 2021
Learning at home not only provides written assignments that are changed in electronic form but must also reflect student learning outcomes at home. Likewise, researchers use literary reading to avoid students getting bored with learning Indonesian language literacy and character education. However, improving literacy skills is not just reading…
Descriptors: Indonesian, Computer Assisted Testing, Fiction, Literacy
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
Aust, Frederik; Haaf, Julia M.; Stahl, Christoph – Journal of Experimental Psychology: Learning, Memory, and Cognition, 2019
Evaluative conditioning (EC) is a change in liking of neutral conditioned stimuli (CS) following pairings with positive or negative stimuli (unconditioned stimulus, US). A dissociation has been reported between US expectancy and CS evaluation in extinction learning: When CSs are presented alone subsequent to CS-US pairings, participants cease to…
Descriptors: Memory, Conditioning, Decision Making, Learning Processes
Rupp, André A.; Casabianca, Jodi M.; Krüger, Maleika; Keller, Stefan; Köller, Olaf – ETS Research Report Series, 2019
In this research report, we describe the design and empirical findings for a large-scale study of essay writing ability with approximately 2,500 high school students in Germany and Switzerland on the basis of 2 tasks with 2 associated prompts, each from a standardized writing assessment whose scoring involved both human and automated components.…
Descriptors: Automation, Foreign Countries, English (Second Language), Language Tests
Storme, Martin; Myszkowski, Nils; Baron, Simon; Bernard, David – Journal of Intelligence, 2019
Assessing job applicants' general mental ability online poses psychometric challenges due to the necessity of having brief but accurate tests. Recent research (Myszkowski & Storme, 2018) suggests that recovering distractor information through Nested Logit Models (NLM; Suh & Bolt, 2010) increases the reliability of ability estimates in…
Descriptors: Intelligence Tests, Item Response Theory, Comparative Analysis, Test Reliability
Mekni Toujani, Marwa – Discourse Processes: A Multidisciplinary Journal, 2020
One of the major aims of discourse-processing literature is to understand whether and when readers form discourse-level representations online. To test this, two word-by-word, self-paced reading experiments investigated the time course of integrating incoming information about the protagonist into the unfolding discourse-level representation in…
Descriptors: Semitic Languages, Native Language, Discourse Analysis, Reading Processes
Acosta-Gonzaga, Elizabeth; Walet, Niels R. – Assessment & Evaluation in Higher Education, 2018
This study explores student attitudes to the use of substantive on-line assessments that require mathematical answers. Since there is limited guidance available for their use in a university setting, our goal is to learn what are the important aspects in student acceptance of e-assessments that support learning of mathematical subjects in higher…
Descriptors: Student Attitudes, Evaluation Methods, Computer Assisted Testing, Undergraduate Students
Jansen, Renée S.; van Leeuwen, Anouschka; Janssen, Jeroen; Kester, Liesbeth; Kalz, Marco – Journal of Computing in Higher Education, 2017
The number of students engaged in Massive Open Online Courses (MOOCs) is increasing rapidly. Due to the autonomy of students in this type of education, students in MOOCs are required to regulate their learning to a greater extent than students in traditional, face-to-face education. However, there is no questionnaire available suited for this…
Descriptors: Online Courses, Independent Study, Questionnaires, Likert Scales
Edward Paul Getman – Online Submission, 2020
Despite calls for engaging assessments targeting young language learners (YLLs) between 8 and 13 years old, what makes assessment tasks engaging and how such task characteristics affect measurement quality have not been well studied empirically. Furthermore, there has been a dearth of validity research about technology-enhanced speaking tests for…
Descriptors: English (Second Language), Language Tests, Second Language Learning, Learner Engagement