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Cesur, Kursat – Educational Policy Analysis and Strategic Research, 2019
Examinees' performances are assessed using a wide variety of different techniques. Multiple-choice (MC) tests are among the most frequently used ones. Nearly, all standardized achievement tests make use of MC test items and there is a variety of ways to score these tests. The study compares number right and liberal scoring (SAC) methods. Mixed…
Descriptors: Multiple Choice Tests, Scoring, Evaluation Methods, Guessing (Tests)
Frizelle, Pauline; Thompson, Paul; Duta, Mihaela; Bishop, Dorothy V. M. – Language Learning, 2019
We examined the effect of two methods of assessment--multiple-choice sentence-picture matching and an animated sentence-verification task--on typically developing children's understanding of relative clauses. A sample of children between the ages of 3 years 6 months and 4 years 11 months took part in the study (N = 103). Results indicated that (a)…
Descriptors: Preschool Children, Testing, Syntax, Comparative Analysis
Sarac, Merve; Loken, Eric – International Journal of Testing, 2023
This study is an exploratory analysis of examinee behavior in a large-scale language proficiency test. Despite a number-right scoring system with no penalty for guessing, we found that 16% of examinees omitted at least one answer and that women were more likely than men to omit answers. Item-response theory analyses treating the omitted responses…
Descriptors: English (Second Language), Language Proficiency, Language Tests, Second Language Learning
Gil Llinás, Julia; Tobaja Márquez, Luis Manuel – International Journal of Educational Methodology, 2023
This paper describes an experience based on the use of an active method in which students of a basic physics course prepare multiple choice questions (MCQs) to prepare for exams in the subject. The objective of the research was to provide the students with a method that would enhance their desire to learn physics, and consequently lead to an…
Descriptors: Teaching Methods, Physics, Science Instruction, Multiple Choice Tests
Wind, Stefanie A. – Language Testing, 2023
Researchers frequently evaluate rater judgments in performance assessments for evidence of differential rater functioning (DRF), which occurs when rater severity is systematically related to construct-irrelevant student characteristics after controlling for student achievement levels. However, researchers have observed that methods for detecting…
Descriptors: Evaluators, Decision Making, Student Characteristics, Performance Based Assessment
Suh, Bo-Ram – Language Teaching Research, 2023
The use of concurrent data elicitation procedures (e.g. think-alouds, eye-tracking, response time) to investigate learners' cognitive processing and processes is becoming more prominent in research designs as researchers seek to acquire a better understanding of how second language (L2) learners process L2 data (e.g. Martin et al., 2019; Rogers,…
Descriptors: Protocol Analysis, Feedback (Response), Second Language Learning, Second Language Instruction
Corrin Moss; Scott P. Ardoin; Joshua A. Mellott; Katherine S. Binder – Grantee Submission, 2023
The current study investigated the impact of manipulating reading strategy, reading the questions first (QF) or the passage first (PF), during a reading comprehension test, and we explored how reading strategy was related to student characteristics. Participants' eye movements were monitored as they read 12 passages and answered multiple-choice…
Descriptors: Reading Processes, Accuracy, Grade 8, Reading Tests
Nur Ainil Sulaiman; Nor Azwahanum Nor Shaid; Chua Pei Chia – International Society for Technology, Education, and Science, 2023
Nowadays, Malaysian ESL students struggle to read English texts, particularly narrative texts. Lacking in utilising and applying the suitable reading strategies are among factors that hinder reading comprehension. This study aimed to investigate the effectiveness of Question-Answer Relationship (QAR) strategy on ESL pupils' narrative reading and…
Descriptors: Foreign Countries, Second Language Learning, English (Second Language), Reading Strategies
Himel Mondal; Juhu Kiran Krushna Karri; Swaminathan Ramasubramanian; Shaikat Mondal; Ayesha Juhi; Pratima Gupta – Advances in Physiology Education, 2025
Large language models (LLMs)-based chatbots use natural language processing and are a type of generative artificial intelligence (AI) that is capable of comprehending user input and generating output in various formats. They offer potential benefits in medical education. This study explored the student's feedback on the utilization of LLMs in…
Descriptors: Computational Linguistics, Physiology, Teaching Methods, Artificial Intelligence
Mónica S. Cárdenas-Claros; Natalia Roldán-Mora; Paula Rodríguez-Arias; Jimmy Vera-Saavedra – Language Awareness, 2025
Playback controls or audio/video control (AVC) buttons are common in technology-enhanced listening materials but are often overlooked in CALL theorizing and research. It is unclear how language learners use AVC buttons when they independently access computer-based L2 listening materials. This qualitative case study aimed to understand how…
Descriptors: Second Language Instruction, Second Language Learning, Computer Assisted Instruction, Listening Comprehension
Jinruo Duan; Rong Yan; Samad Zare; Jike Qin – Asia-Pacific Science Education, 2024
Causal reasoning is important to children's cognition and academic development. However, there have been few empirical studies on the impact of visual cues and non-verbal scaffolding on children's reasoning in continuous causal processes. Hence, the present study aims to explore how causal reasoning in continuous processes is facilitated by visual…
Descriptors: Cues, Visual Aids, Nonverbal Communication, Science Education
Laliyo, Lukman Abdul Rauf; Hamdi, Syukrul; Pikoli, Masrid; Abdullah, Romario; Panigoro, Citra – European Journal of Educational Research, 2021
One of the issues that hinder the students' learning progress is the inability to construct an epistemological explanation of a scientific phenomenon. Four-tier multiple-choice (hereinafter, 4TMC) instrument and Partial-Credit Model were employed to elaborate on the diagnosis process of the aforementioned problem. This study was to develop and…
Descriptors: Learning Processes, Multiple Choice Tests, Models, Test Items
Klein, P.; Becker, S.; Küchemann, S.; Kuhn, J. – Physical Review Physics Education Research, 2021
The test of understanding graphs in kinematics (TUG-K) has widely been used to assess students' understanding of this subject. The TUG-K poses different objectives to the test takers such as (1) the selection of a graph from a textual description, (2) the selection of corresponding graphs, and (3) the selection of a textual description from a…
Descriptors: Foreign Countries, Science Tests, Multiple Choice Tests, Graphs
Huang, Alice; Hancock, Dale; Clemson, Matthew; Yeo, Giselle; Harney, Dylan; Denny, Paul; Denyer, Gareth – Research in Learning Technology, 2021
Production of high-quality multiple-choice questions (MCQs) for both formative and summative assessments is a time-consuming task requiring great skill, creativity and insight. The transition to online examinations, with the concomitant exposure of previously tried-and-tested MCQs, exacerbates the challenges of question production and highlights…
Descriptors: Summative Evaluation, Student Developed Materials, Test Construction, Multiple Choice Tests
Clack, Alice; Dommett, Eleanor J. – Education Sciences, 2021
Student Approaches to Learning (SAL) have been the focus of much research, typically linking different approaches, e.g., surface and deep, to different assessment types. However, much of the previous research has not considered the different conditions under which different types of assessment occur and the different types of feedback they…
Descriptors: Learning Strategies, Questionnaires, Undergraduate Students, Feedback (Response)

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