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Direct linkJosh Freeman – Higher Education Policy Institute, 2025
Building on our 2024 AI Survey, we surveyed 1,041 full-time undergraduate students through Savanta about their use of generative artificial intelligence (GenAI) tools. In 2025, we find that the student use of AI has surged in the last year, with almost all students (92%) now using AI in some form, up from 66% in 2024, and some 88% having used…
Descriptors: Student Surveys, Student Attitudes, Cheating, Artificial Intelligence
Peer reviewedRassaei, Ehsan – Computer Assisted Language Learning, 2023
The main purpose of the present study is to propose a framework for implementing group dynamic assessment (DA) using students' smartphones for improving and assessing EFL learners' ability to produce well-formed and appropriate requests. This study focuses on five learner reciprocity moves during DA interactions to get deeper insights into the…
Descriptors: Computer Assisted Testing, Second Language Learning, Second Language Instruction, English (Second Language)
Heinsch, Patrick; Handke, Jürgen – Journal on Excellence in College Teaching, 2020
Humanoid robots are gradually becoming part of everyday life as well as education. Virtual agents have demonstrated their benefits for years, and experts expect similar positive effects from the use of humanoid robots in education. Project H.E.A.R.T. (Humanoid Emotional Assistant Robots in Teaching), from Philipps-University Marburg, has developed…
Descriptors: Robotics, Teaching Methods, Higher Education, Universities
Download full textCook, Michael; Ross, Steven M. – Center for Research and Reform in Education, 2022
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction that met Curriculum Associates' recommended usage levels on mathematics achievement, as measured by the Massachusetts Comprehensive Assessment System (MCAS) mathematics assessment. This study compared mathematics achievement growth of students who used…
Descriptors: Mathematics Achievement, Mathematics Instruction, Program Evaluation, Individualized Instruction
Cook, Michael; Ross, Steven M. – Center for Research and Reform in Education, 2022
The purpose of this evaluation was to examine the impact of i-Ready Personalized Instruction that met Curriculum Associates' recommended usage levels on ELA achievement, as measured by the Massachusetts Comprehensive Assessment System (MCAS) ELA assessment. This study compared the ELA achievement growth in the 2020-21 school year of students who…
Descriptors: English, Language Arts, Computer Assisted Instruction, Computer Assisted Testing
Hajjej, Fahima; Hlaoui, Yousra Bendaly; Ben Ayed, Leila Jemni – International Journal of Information and Communication Technology Education, 2017
The e-assessment, as an important part of any e-learning system, faces the same challenges and problems such as problems related to portability, reusability, adaptability, integration and interoperability. Therefore, we need an approach aiming to generate a general process of the e-assessment. The present study consists of the development of a…
Descriptors: Electronic Learning, Computer Assisted Testing, Management Systems, Computer Software
Fitriyah, Ima; Jannah, Miftahul – Indonesian Journal of English Language Teaching and Applied Linguistics, 2021
The teaching and learning process changed into an online during the COVID19 outbreak, and thus online evaluation became a requirement. This research examines the positive and negative effects of online assessment on students' learning behaviour and how teachers prepare their teaching. This case study research included the result of questionnaire…
Descriptors: Second Language Learning, Second Language Instruction, English (Second Language), Teaching Methods
Debuse, Justin C. W.; Lawley, Meredith – British Journal of Educational Technology, 2016
Providing students with high quality feedback is important and can be achieved using computer-based systems. While student and educator perspectives of such systems have been investigated, a comprehensive multidisciplinary study has not yet been undertaken. This study examines student and educator perspectives of a computer-based assessment and…
Descriptors: Teacher Student Relationship, Educational Benefits, Teacher Attitudes, Computer Assisted Testing
What Works Clearinghouse, 2014
The 2011 study, "Benefits of Practicing 4 = 2 + 2: Nontraditional Problem Formats Facilitate Children's Understanding of Mathematical Equivalence," examined the effects of addition practice using nontraditional problem formats on students' understanding of mathematical equivalence. In nontraditional problem formats, operations appear on…
Descriptors: Mathematics Instruction, Elementary School Students, Addition, Teaching Methods
