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Aryadoust, Vahid – Computer Assisted Language Learning, 2020
The aim of the present study is two-fold. First, it uses eye-tracking to investigate the dynamics of item reading, both in multiple choice and matching items, before and during two hearings of listening passages in a computerized while-listening performance (WLP) test. Second, it investigates answer changing during the two hearings, which include…
Descriptors: Eye Movements, Test Items, Secondary School Students, Reading Processes
Limei Shan – International Journal of Technology in Teaching and Learning, 2023
This paper explores the impact of AI applications in adaptive learning on learners with varying levels of Chinese proficiency and diverse learning needs. The study investigates the robustness of VR technology in enhancing Chinese oral proficiency and pragmatic skills among 1st year and 2nd year learners. It compares the established VR app Mondly…
Descriptors: Artificial Intelligence, Chinese, Second Language Learning, Second Language Instruction
Bartels, Hauke; Geelan, David; Kulgemeyer, Christoph – International Journal of Science Education, 2019
Measuring teachers' skills to carry out the complex tasks required in teaching is an important means of evaluating the effectiveness of teacher education but remains a challenging activity to conduct in practice. It is necessary to optimise approaches for usability and effectiveness along a continuum from low-effort and low-authenticity measures…
Descriptors: Science Teachers, Teacher Competency Testing, Performance Based Assessment, Physics
Chuang, Chia Yuan; Craig, Scotty D.; Femiani, John – Higher Education Research and Development, 2017
This study investigated the ability of test takers' behaviors during online assessments to detect probable cheating incidents. Specifically, this study focused on the role of time delay and head pose for detection of cheating incidences in a lab-based online testing session. The analysis of a test taker's behavior indicated that not only time…
Descriptors: Cheating, Ethics, Computer Assisted Testing, Time
Fisteus, Jesus Arias; Pardo, Abelardo; García, Norberto Fernández – Journal of Science Education and Technology, 2013
Although technology for automatic grading of multiple choice exams has existed for several decades, it is not yet as widely available or affordable as it should be. The main reasons preventing this adoption are the cost and the complexity of the setup procedures. In this paper, "Eyegrade," a system for automatic grading of multiple…
Descriptors: Multiple Choice Tests, Grading, Computer Assisted Testing, Man Machine Systems
Fanguy, Mik; Costley, Jamie; Baldwin, Matthew – International Review of Research in Open and Distributed Learning, 2017
Lecture videos have become an increasingly prevalent and important source of learning content. Lecturergenerated summaries may be used during a video lecture to improve student recall. Furthermore, the integration of a guest lecturer into the classroom may be a beneficial educational practice drawing the learner's attention to specific content or…
Descriptors: Documentation, Guides, Lecture Method, Video Technology
Chen, Kuan-Li; Liu, Shiang-Yao; Chen, Po-Hsi – International Journal of Environmental and Science Education, 2015
Energy literacy is multidimensional, comprising broad content knowledge as well as affect and behavior. Our previous study has defined four core dimensions for the assessment framework, including energy concepts, reasoning on energy issues, low-carbon lifestyle, and civic responsibility for a sustainable society. The present study compiled a…
Descriptors: Secondary School Students, Computer Assisted Testing, Video Technology, Multimedia Materials
Wieling, M. B.; Hofman, W. H. A. – Computers & Education, 2010
To what extent a blended learning configuration of face-to-face lectures, online on-demand video recordings of the face-to-face lectures and the offering of online quizzes with appropriate feedback has an additional positive impact on the performance of these students compared to the traditional face-to-face course approach? In a between-subjects…
Descriptors: Feedback (Response), Grade Point Average, Predictor Variables, Lecture Method

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