NotesFAQContact Us
Collection
Advanced
Search Tips
Showing all 4 results Save | Export
Peer reviewed Peer reviewed
Direct linkDirect link
Sam Elkington; Paul Chesterton – Teaching in Higher Education, 2025
Studies reporting flexible assessment strategies and their impact across different modes of study remain limited with little emphasis placed on the role these arrangements play in devising authentic assessment processes. This paper synthesises recent research work depicting flexible design principles and practice strategies for how educators might…
Descriptors: Authentic Learning, Evaluation Methods, Instructional Design, Teaching Methods
Peer reviewed Peer reviewed
Direct linkDirect link
Siti Nurjanah; Jumriani Sultan; Lovieanta Arriza; Izzul Kiram Suardi; Shaufi Ramadhani; D'aquinaldo Stefanus Fani Seran; Salman Rashid – Review of Education, 2025
Assessment plays a fundamental role in physics education, with extensive research exploring its various dimensions. Despite this extensive research, a comprehensive bibliometric analysis synthesising trends and identifying research gaps is lacking. This study addresses this need by examining trends, patterns, and future directions in physics…
Descriptors: Physics, Science Education, Evaluation, Educational Research
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Chahna Gonsalves – Journal of Learning Development in Higher Education, 2025
Generative AI (GenAI) is transforming higher education. It has already challenged the validity of traditional assessment methods and revealed concerns about the authenticity and reliability of conventional approaches. This opinion piece proposes an expanded theoretical framework for contextual learning, incorporating practical, situational,…
Descriptors: Artificial Intelligence, Higher Education, Evaluation Methods, Technology Uses in Education
Peer reviewed Peer reviewed
Direct linkDirect link
Yizhu Gao; Xiaoming Zhai; Min Li; Gyeonggeon Lee; Xiaoxiao Liu – Grantee Submission, 2025
The rapid evolution of generative artificial intelligence (GenAI) is transforming science education by facilitating innovative pedagogical paradigms while raising substantial concerns about scholarly integrity. One particularly pressing issue is the growing risk of student use of GenAI tools to outsource assessment tasks, potentially compromising…
Descriptors: Artificial Intelligence, Computer Software, Science Education, Integrity