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Bethan Burge; Louise Benson – National Foundation for Educational Research, 2022
Since its introduction in 2017, NFER has been contracted by Ofqual to develop, deliver and analyse the results of the National Reference Test (NRT) in English and maths. The NRT is administered annually and shows if student performance in English and maths at GCSE level has changed from year-to-year. This year, around 13,000 Year 11 students from…
Descriptors: Foreign Countries, National Competency Tests, Mathematics Tests, English
Andrea Cedeno – ProQuest LLC, 2022
The relationship between computer-based and paper-based testing may vary. Students with special needs may or may not perform better on computer-based testing compared to paper-based testing. Over the past few decades, computers and technology have increased in society and in classrooms. The use of technology has increased during the era of the…
Descriptors: Computer Assisted Testing, Test Format, Special Needs Students, Reading Comprehension
Edwin Ambrosio – ProQuest LLC, 2022
Assessments are some of the most common tools used to evaluate student learning. While exams have always been a part of evaluating how well students learn and retain information, the most effective way to administer them has always been debated. However, remarkably few studies have compared online and paper testing, and even fewer have examined…
Descriptors: Computer Science Education, Computer Assisted Testing, Test Format, Performance
Binglin Chen – ProQuest LLC, 2022
Assessment is a key component of education. Routine grading of students' work, however, is time consuming. Automating the grading process allows instructors to spend more of their time helping their students learn and engaging their students with more open-ended, creative activities. One way to automate grading is through computer-based…
Descriptors: College Students, STEM Education, Student Evaluation, Grading
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Zhang, Mengxue; Heffernan, Neil; Lan, Andrew – International Educational Data Mining Society, 2023
Automated scoring of student responses to open-ended questions, including short-answer questions, has great potential to scale to a large number of responses. Recent approaches for automated scoring rely on supervised learning, i.e., training classifiers or fine-tuning language models on a small number of responses with human-provided score…
Descriptors: Scoring, Computer Assisted Testing, Mathematics Instruction, Mathematics Tests
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Chang, Hsin-Yi; Tsai, Chin-Chung – Journal of Science Education and Technology, 2023
The study employed epistemic network analysis (ENA) to investigate students' conceptions of science learning with technology. One-hundred and eleven tenth-grade students were asked to express via drawings their conceptions of experienced and ideal learning of science with technology. Their drawings were coded into 20 elements in seven categories.…
Descriptors: Epistemology, Network Analysis, Freehand Drawing, Student Attitudes
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Ritonga, Mahyudin; Shaban, Ahmad Abdulkareem; Al-Rashidi, Anwar Hammad; Chilani, Noam – Language Testing in Asia, 2023
Every decision made in the classroom has the potential to either help or hurt a student's development as a learner. When students' mental and emotional well-being are taken into account, effective instruction and assessment are possible, despite the importance of learners' engagement in assessment (LEA), test-taking skills (TTS), self-assessment…
Descriptors: Learner Engagement, Student Evaluation, Test Wiseness, Resilience (Psychology)
Rodeiro, Carmen Vidal; Macinska, Sylwia – Research Matters, 2023
Access arrangements are pre-exam arrangements that aim to remove any barriers that might prevent students with specific needs from accessing the assessment and demonstrating their knowledge and skills. Access arrangements are not intended to change the assessment demand or reduce its validity. Using a survey questionnaire, the present study…
Descriptors: Teacher Attitudes, Student Attitudes, Access to Education, High Stakes Tests
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Zheng, Lanqin; Long, Miaolang; Chen, Bodong; Fan, Yunchao – International Journal of Educational Technology in Higher Education, 2023
Online collaborative learning is implemented extensively in higher education. Nevertheless, it remains challenging to help learners achieve high-level group performance, knowledge elaboration, and socially shared regulation in online collaborative learning. To cope with these challenges, this study proposes and evaluates a novel automated…
Descriptors: Learning Analytics, Computer Assisted Testing, Cooperative Learning, Graphs
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Yildirim-Erbasli, Seyma N.; Bulut, Okan; Demmans Epp, Carrie; Cui, Ying – Journal of Educational Technology Systems, 2023
Conversational agents have been widely used in education to support student learning. There have been recent attempts to design and use conversational agents to conduct assessments (i.e., conversation-based assessments: CBA). In this study, we developed CBA with constructed and selected-response tests using Rasa--an artificial intelligence-based…
Descriptors: Artificial Intelligence, Intelligent Tutoring Systems, Computer Mediated Communication, Formative Evaluation
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Nikolic, Sasha; Daniel, Scott; Haque, Rezwanul; Belkina, Marina; Hassan, Ghulam M.; Grundy, Sarah; Lyden, Sarah; Neal, Peter; Sandison, Caz – European Journal of Engineering Education, 2023
ChatGPT, a sophisticated online chatbot, sent shockwaves through many sectors once reports filtered through that it could pass exams. In higher education, it has raised many questions about the authenticity of assessment and challenges in detecting plagiarism. Amongst the resulting frenetic hubbub, hints of potential opportunities in how ChatGPT…
Descriptors: Artificial Intelligence, Performance Based Assessment, Engineering Education, Integrity
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Levine, Sarah; Moore, Daniel P.; Bene, Emma; Smith, Michael W. – Reading Research Quarterly, 2023
In the United States, standardized tests shape what, how, and why English Language Arts teachers teach. For the last generation, these tests have increasingly taken a narrowly text-centered approach to literature, making it difficult to enact or research alternatives. But what if it were otherwise? In the current study, we asked teachers to…
Descriptors: Standardized Tests, Test Use, English Instruction, Language Arts
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Burton, J. Dylan – Language Testing, 2023
In its 40th year, "Language Testing" journal has served as the flagship journal for scholars, researchers, and practitioners in the field of language testing and assessment. This viewpoint piece, written from the perspective of an emerging scholar, discusses two possible future trends based on evidence going back to the very first issue…
Descriptors: Language Tests, Testing, Futures (of Society), Periodicals
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Escudero, Paola; Smit, Eline A.; Angwin, Anthony J. – Language Learning, 2023
Research has shown that novel words can be learned through the mechanism of statistical or cross-situational word learning (CSWL). So far, CSWL studies using adult populations have focused on the presentation of spoken words. However, words can also be learned through their written form. This study compared auditory and orthographic presentations…
Descriptors: Word Lists, Vocabulary Development, Comparative Analysis, Auditory Stimuli
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Madugula, Neelima; Allamsetty, Srikanth; Sinha, Abhinav; Mishra, Subhendu; Chandra, M. V. Satya Sai; Krishnan, Dhanya – Journal of Applied Research in Higher Education, 2023
Purpose: With the current COVID-19 outbreak, the majority of the higher educational institutes (HEI) are conducting online examinations to assess their students, where both teachers and students are facing various constraints. Under these circumstances, it is very important to understand the perspectives of teachers and students towards online…
Descriptors: Teacher Attitudes, Student Attitudes, COVID-19, Pandemics
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