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Daniel M. K. Lam – ELT Journal, 2025
Feedback penetrates many walks of our lives, and its importance in L2 teaching and assessment is well recognised. However, while corrective feedback and writing feedback have been the focus of much L2 research and classroom practice, there seems relatively little attention to feedback on spoken interactional skills. Concomitantly, translating…
Descriptors: Feedback (Response), Peer Evaluation, Oral Language, Interaction
Gyamfi, Abraham; Acquaye, Rosemary – Acta Educationis Generalis, 2023
Introduction: Item response theory (IRT) has received much attention in validation of assessment instrument because it allows the estimation of students' ability from any set of the items. Item response theory allows the difficulty and discrimination levels of each item on the test to be estimated. In the framework of IRT, item characteristics are…
Descriptors: Item Response Theory, Models, Test Items, Difficulty Level
Yael Sidi; Rakefet Ackerman – Educational Psychology Review, 2024
When faced with challenging thinking tasks accompanied by a feeling of uncertainty, people often prefer to opt out (e.g., replying "I don't know", seeking advice) over giving low-confidence responses. In professions with high-stakes decisions (e.g., judges, medical practitioners), opting out is generally seen as preferable to making…
Descriptors: Instructional Design, Decision Making, Metacognition, Knowledge Management
Ricardo Conejo Muñoz; Beatriz Barros Blanco; José del Campo-Ávila; José L. Triviño Rodriguez – IEEE Transactions on Learning Technologies, 2024
Automatic question generation and the assessment of procedural knowledge is still a challenging research topic. This article focuses on the case of it, the techniques of parsing grammars for compiler construction. There are two well-known techniques for parsing: top-down parsing with LL(1) and bottom-up with LR(1). Learning these techniques and…
Descriptors: Automation, Questioning Techniques, Knowledge Level, Language
Dahl, Laura S.; Staples, B. Ashley; Mayhew, Matthew J.; Rockenbach, Alyssa N. – Innovative Higher Education, 2023
Surveys with rating scales are often used in higher education research to measure student learning and development, yet testing and reporting on the longitudinal psychometric properties of these instruments is rare. Rasch techniques allow scholars to map item difficulty and individual aptitude on the same linear, continuous scale to compare…
Descriptors: Surveys, Rating Scales, Higher Education, Educational Research
Joshua Wedlock; Christopher Binnie – TESL-EJ, 2025
Although research indicates that deliberate practice is indispensable for achieving high levels of proficiency and expertise in a range of disparate fields, this type of practice has largely been overlooked in the second language acquisition literature. To bridge this gap, and advocating for a more intentional and goal-directed approach to second…
Descriptors: Second Language Learning, Evidence Based Practice, Educational Practices, Decision Making
Cline, Kelly; Huckaby, David A.; Zullo, Holly – PRIMUS, 2022
To identify clicker questions likely to provoke rich and engaging student discussions, we recorded the percentage of the class voting on each option on every clicker question used throughout each semester, encompassing nineteen sections of introductory statistics, taught by three instructors. Working from the hypothesis that seeing student votes…
Descriptors: Audience Response Systems, Statistics, Introductory Courses, Discussion (Teaching Technique)
Plass, Jan L.; Kalyuga, Slava – Educational Psychology Review, 2019
We discuss four ways in which emotion may relate to cognitive load during learning. One perspective describes emotions as extraneous cognitive load, competing for the limited resources of working memory by requiring the processing of task-extra or task-irrelevant information. Another perspective shows that encoding, storage, and retrieval of…
Descriptors: Cognitive Processes, Difficulty Level, Emotional Response, Self Control
Khodos, Iryna; Hunt, Jaime – International Journal of Teaching and Learning in Higher Education, 2022
Introductory sociolinguistics courses at university can be challenging, especially for students at the very beginning of their tertiary studies. Difficulties may arise due to students not having any prior exposure to the discipline's content or methodologies, which is likely to be a result of these aspects not generally being taught in high…
Descriptors: Introductory Courses, Sociolinguistics, Video Technology, Teaching Methods
Banjade, Rajendra; Rus, Vasile – International Educational Data Mining Society, 2019
Automatic answer assessment systems typically apply semantic similarity methods where student responses are compared with some reference answers in order to access their correctness. But student responses in dialogue based tutoring systems are often grammatically and semantically incomplete and additional information (e.g., dialogue history) is…
Descriptors: Dialogs (Language), Probability, Intelligent Tutoring Systems, Semantics
Craig, Scotty D.; Schroeder, Noah L. – Advanced Distributed Learning Initiative, 2020
The Science of Learning and Readiness (SoLaR) project seeks to demonstrate to Defense and other Government stakeholders the "art of the possible" for high-quality distributed learning and to create a practical guide for how to infuse such qualities into the broader Department of Defense (DoD) distributed learning ecosystem. This report…
Descriptors: Distance Education, Educational Technology, Blended Learning, Courseware
Mitchell, Alison M.; Truckenmiller, Adrea; Petscher, Yaacov – Communique, 2015
As part of the Race to the Top initiative, the United States Department of Education made nearly 1 billion dollars available in State Educational Technology grants with the goal of ramping up school technology. One result of this effort is that states, districts, and schools across the country are using computerized assessments to measure their…
Descriptors: Computer Assisted Testing, Educational Technology, Testing, Efficiency
Janning, Ruth; Schatten, Carlotta; Schmidt-Thieme, Lars – International Journal of Artificial Intelligence in Education, 2016
Recognising students' emotion, affect or cognition is a relatively young field and still a challenging task in the area of intelligent tutoring systems. There are several ways to use the output of these recognition tasks within the system. The approach most often mentioned in the literature is using it for giving feedback to the students. The…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Technology Uses in Education, Educational Technology
Garcia, Kimberly D. – English in Texas, 2019
Teachers routinely report that they feel pressured to teach to standardized assessments. Narrowing the curriculum may help students succeed on standardized assessments, but it rarely leads to long-lasting academic success. Authentic, relevant, and rigorous instruction in newcomer English learner (EL) classrooms, however, can create long-term…
Descriptors: Cultural Differences, English Language Learners, Difficulty Level, Literacy Education
Baghaei, Purya; Kubinger, Klaus D. – Practical Assessment, Research & Evaluation, 2015
The present paper gives a general introduction to the linear logistic test model (Fischer, 1973), an extension of the Rasch model with linear constraints on item parameters, along with eRm (an R package to estimate different types of Rasch models; Mair, Hatzinger, & Mair, 2014) functions to estimate the model and interpret its parameters. The…
Descriptors: Item Response Theory, Models, Test Validity, Hypothesis Testing

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