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Keith Cochran; Clayton Cohn; Peter Hastings; Noriko Tomuro; Simon Hughes – International Journal of Artificial Intelligence in Education, 2024
To succeed in the information age, students need to learn to communicate their understanding of complex topics effectively. This is reflected in both educational standards and standardized tests. To improve their writing ability for highly structured domains like scientific explanations, students need feedback that accurately reflects the…
Descriptors: Science Process Skills, Scientific Literacy, Scientific Concepts, Concept Formation
Federica Picasso – Research on Education and Media, 2024
In the current higher education context, the development of academics' competencies seems to be a crucial issue, with a strong focus on teaching, learning and assessment digital skills (Redecker & Punie, 2017). In connection with the framework of DigCompEdu (2017), it seems important to understand how to better sustain academics' new…
Descriptors: Technology Uses in Education, Computer Assisted Testing, Feedback (Response), Evaluation Methods
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
Maya Usher – Assessment & Evaluation in Higher Education, 2025
The integration of Generative Artificial Intelligence (GenAI) in education has introduced innovative approaches to assessment. One such approach is AI chatbot-based assessment, which utilizes large language models to provide students with timely and consistent feedback. However, the effectiveness of AI chatbots in generating assessments comparable…
Descriptors: Artificial Intelligence, Computer Assisted Testing, Student Evaluation, Peer Evaluation
Georgios Zacharis; Stamatios Papadakis – Educational Process: International Journal, 2025
Background/purpose: Generative artificial intelligence (GenAI) is often promoted as a transformative tool for assessment, yet evidence of its validity compared to human raters remains limited. This study examined whether an AI-based rater could be used interchangeably with trained faculty in scoring complex coursework. Materials/methods:…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Assisted Testing, Grading
Bani Arora; Abdulghani Al-Hattami – Canadian Journal of Learning and Technology, 2024
This descriptive study examines the effectiveness of ZipGrade, a digital assessment tool, in the context of formative evaluations within classroom settings, focusing on its deployment for multiple-choice question quizzes. This research contributes to the dialogue on the integration of information and communication technology to promote quality…
Descriptors: Program Effectiveness, Formative Evaluation, Computer Assisted Testing, Technology Uses in Education
Malik, Ali; Wu, Mike; Vasavada, Vrinda; Song, Jinpeng; Coots, Madison; Mitchell, John; Goodman, Noah; Piech, Chris – International Educational Data Mining Society, 2021
Access to high-quality education at scale is limited by the difficulty of providing student feedback on open-ended assignments in structured domains like programming, graphics, and short response questions. This problem has proven to be exceptionally difficult: for humans, it requires large amounts of manual work, and for computers, until…
Descriptors: Grading, Accuracy, Computer Assisted Testing, Automation
Kempegowda, Swetha Nagarahalli; Ramachandra, Shobha Chikkavaddaragudi; Arun, Brunda; Devaraju, Abhijith; Shivashankar, Kusuma Kasapura; Raghunathachar, Sahana Kabbathy; Bettadapura, Anjalidevi Shankarrao; Puttalingaiah, Sujatha; Devegowda, Devananda; Vishwanath, Prashant; Nataraj, Suma Maduvanahalli; Prashant, Akila – Biochemistry and Molecular Biology Education, 2023
Online assessments are needed during the prevailing pandemic situation to continue educational activities while ensuring safety. After conducting the online practical assessment (OPrA) in Biochemistry, we analyzed the students' responses. The blueprint of the OPrA was prepared by the faculty, referring to the various levels and domains of Bloom's…
Descriptors: Biochemistry, Science Instruction, Science Tests, Feedback (Response)
Brandon J. Yik; David G. Schreurs; Jeffrey R. Raker – Journal of Chemical Education, 2023
Acid-base chemistry, and in particular the Lewis acid-base model, is foundational to understanding mechanistic ideas. This is due to the similarity in language chemists use to describe Lewis acid-base reactions and nucleophile-electrophile interactions. The development of artificial intelligence and machine learning technologies has led to the…
Descriptors: Educational Technology, Formative Evaluation, Molecular Structure, Models
Paiva, José Carlos; Leal, José Paulo; Figueira, Álvaro – ACM Transactions on Computing Education, 2022
Practical programming competencies are critical to the success in computer science (CS) education and go-to-market of fresh graduates. Acquiring the required level of skills is a long journey of discovery, trial and error, and optimization seeking through a broad range of programming activities that learners must perform themselves. It is not…
Descriptors: Automation, Computer Assisted Testing, Student Evaluation, Computer Science Education
Hadjerrouit, Said; Nnagbo, Celestine Ifeanyi – International Association for Development of the Information Society, 2022
E-assessment systems such as Numbas are now widespread in mathematics education at the primary, secondary, and tertiary level. However, little is known about the affordances and constraints of Numbas in mathematics teacher education. The purpose of this study is to investigate the emergence, perception, and actualisation of Numbas affordances and…
Descriptors: Affordances, Barriers, Computer Assisted Testing, Mathematics Teachers
David W. Franklin; Jason Bryer; Angela M. Lui; Heidi L. Andrade; Diana Akhmedjanova – Online Learning, 2022
The purpose of this study is to examine the effects of nudges on online college students' use of the Diagnostic Assessment and Achievement of College Skills (DAACS), a suite of free, online assessments, feedback, and resources designed to optimize student success in college. The results indicate that the nudges had an effect on students'…
Descriptors: Undergraduate Students, Educational Diagnosis, Academic Achievement, Academic Ability
Christina Hubertina Helena Maria Heemskerk; Claudia M. Roebers – Journal of Cognition and Development, 2024
Young children tend to rely on reactive cognitive control (e.g. strongly slow down after an error), even when task accuracy would benefit from proactive cognitive control (taking a slower task approach up front). We investigated if giving young primary school children opportunities to repeatedly experience tasks where success rates depend on…
Descriptors: Cognitive Ability, Reaction Time, Accuracy, Feedback (Response)
Blaženka Divjak; Petra Žugec; Katarina Pažur Anicic – International Journal of Mathematical Education in Science and Technology, 2024
Assessment is among the inevitable components of a curriculum and directs students' learning. E-assessment, as prepared and administered with the use of ICT, provides opportunities to make the process easier in some aspects, but also brings certain challenges. This paper presents an e-assessment framework from a student perspective. Our study…
Descriptors: Student Evaluation, Computer Assisted Testing, Evaluation Methods, Student Attitudes
Nsabayezu, Ezechiel; Iyamuremye, Aloys; Mbonyiryivuze, Agnes; Niyonzima, Francois Niyongabo; Mukiza, Janvier – Education and Information Technologies, 2023
Formative assessment supports teachers in recognizing students' learning strengths and shortcomings and enhancing teaching and learning approaches. The current study aims to examine the impact of digital-based formative assessment on students' learning of organic chemistry. In this study, a mixed research strategy was used. Students in senior five…
Descriptors: Formative Evaluation, Computer Assisted Testing, Organic Chemistry, Science Instruction

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