Publication Date
In 2025 | 2 |
Since 2024 | 10 |
Since 2021 (last 5 years) | 16 |
Since 2016 (last 10 years) | 23 |
Since 2006 (last 20 years) | 40 |
Descriptor
Student Evaluation | 43 |
Technology Uses in Education | 43 |
Computer Software | 40 |
Teaching Methods | 20 |
Foreign Countries | 17 |
Educational Technology | 14 |
Evaluation Methods | 13 |
Artificial Intelligence | 10 |
Feedback (Response) | 10 |
College Students | 9 |
Student Attitudes | 9 |
More ▼ |
Source
Author
Al-Jumeily, Dhiya | 1 |
Alghamdi, Mohammed | 1 |
Andriamiseza, Rialy | 1 |
Astafan, Christine | 1 |
Aydin, Furkan | 1 |
Barac, Dušan | 1 |
Bayram, Servet | 1 |
Blood, Erika | 1 |
Bogdanovic, Zorica | 1 |
Brenda Mak | 1 |
Brian P. Shaw | 1 |
More ▼ |
Publication Type
Education Level
Audience
Teachers | 3 |
Policymakers | 1 |
Practitioners | 1 |
Researchers | 1 |
Location
Pennsylvania | 3 |
United Kingdom | 3 |
Brazil | 2 |
China | 2 |
Greece | 2 |
Indonesia | 2 |
Israel | 2 |
Japan | 2 |
Kazakhstan | 2 |
Malaysia | 2 |
Philippines | 2 |
More ▼ |
Laws, Policies, & Programs
Assessments and Surveys
California Critical Thinking… | 1 |
Test of English as a Foreign… | 1 |
What Works Clearinghouse Rating
Towards Automatic Question Generation Using Pre-Trained Model in Academic Field for Bahasa Indonesia
Derwin Suhartono; Muhammad Rizki Nur Majiid; Renaldy Fredyan – Education and Information Technologies, 2024
Exam evaluations are essential to assessing students' knowledge and progress in a subject or course. To meet learning objectives and assess student performance, questions must be themed. Automatic Question Generation (AQG) is our novel approach to this problem. A comprehensive process for autonomously generating Bahasa Indonesia text questions is…
Descriptors: Foreign Countries, Computational Linguistics, Computer Software, Questioning Techniques
Brian P. Shaw – Music Educators Journal, 2024
In the coming years, the proliferation of artificial intelligence (AI) will lead to changes and challenges to many traditional practices in school music and beyond, particularly related to student assessment and grading. At the same time, the AI revolution may also facilitate new and exciting directions for assessment and differentiation in music…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Music Education
Melanie M. Cooper; Michael W. Klymkowsky – Journal of Chemical Education, 2024
The use of large language model Generative AI (GenAI) systems by students and instructors is increasing rapidly, and there is little choice but to adapt to this new situation. Many, but not all, students are using GenAI for homework and assignments, which means that we need to provide equitable access for all students to AI systems that can…
Descriptors: Artificial Intelligence, Technology Uses in Education, Computer Software, Homework
Andriamiseza, Rialy; Silvestre, Franck; Parmentier, Jean-Francois; Broisin, Julien – IEEE Transactions on Learning Technologies, 2023
Formative assessment provides teachers with feedback to help them adapt their behavior. To manage the increasing number of students in higher education, technology-enhanced formative assessment tools can be used to maintain and hopefully improve teaching and learning quality, thanks to the high amount of data that are generated by their usage.…
Descriptors: Learning Analytics, Formative Evaluation, Evidence Based Practice, Peer Evaluation
Ye Zhang; Mo Wang; Jinlong He; Niantong Li; Yupeng Zhou; Haoxia Huang; Dunbo Cai; Minghao Yin – IEEE Transactions on Learning Technologies, 2024
Diagnosing aesthetic perception plays a crucial role in deepening our understanding of student creativity, emotional expression, and the pursuit of lifelong learning within art education. This task encompasses the evaluation and analysis of students' sensitivity, preference, and capacity to perceive and appreciate beauty across different sensory…
Descriptors: Aesthetics, Creativity, Emotional Response, Lifelong Learning
Xiaohua Liu – Asia-Pacific Education Researcher, 2025
The surge of generative AI (GenAI) tools on the internet has caused unprecedented disruptions to education, and there are growing concerns about them being misused by students to commit plagiarism, hence jeopardizing assessment validity. Despite the foreseeable challenges, it remains unclear how frontline language teachers perceive and react to…
Descriptors: Teacher Attitudes, Artificial Intelligence, Computer Software, Technology Uses in Education
Graham, Alison I.; Harner, Christie; Marsham, Sara – Assessment & Evaluation in Higher Education, 2022
Student frustration with the level and content of feedback is well-noted, especially in relation to new or unfamiliar assessment types. At the same time, students are often unlikely to engage with marking and feedback processes, including the use of rubrics or marking criteria before submission. The aim of this project was to build students'…
Descriptors: Student Evaluation, Evaluation Methods, Feedback (Response), Learner Engagement
Eric J. Conrad; Laura K. Rees – Journal of Physical Education, Recreation & Dance, 2024
Comprehensive school health education (HE), despite its link to enhancing both student health and academic achievement, often faces barriers to effective implementation. As pedagogical strategies evolve to integrate traditional methods with technological innovations like artificial intelligence (AI), the adoption of innovation in HE preparation…
Descriptors: Health Education, Teaching Methods, Artificial Intelligence, Computer Software
Leigh Jin; Tai-Yin Chi; Brenda Mak – Journal of Information Systems Education, 2024
This paper presents the Screencast-Based Assessment Technique (SBAT) for a mobile app development curriculum in the information systems discipline. SBAT was implemented as a midterm take-home exam in which students design and develop an app project based on their own interests, passions, or ambitions. In addition to coding, students must create…
Descriptors: Technology Uses in Education, Computer Oriented Programs, Handheld Devices, Computer Software
Michelle Cowan; Gavin Fox; Keri Larson – Journal of Marketing Education, 2025
Marketing instructors increasingly are using artificial intelligence (AI) to improve efficiency in course planning and assessment. However, scholarship has yet to show how such use impacts student evaluations, which are often skewed by gender bias. Toward this aim, we conducted a quasi-experiment in which college-student participants viewed…
Descriptors: Faculty Evaluation, Student Evaluation of Teacher Performance, Gender Differences, Artificial Intelligence
Jeon, Jaeho – Computer Assisted Language Learning, 2023
This study investigated the effect of Chatbot-Assisted Dynamic Assessment (CA-DA) on vocabulary learning and provided insights into learner abilities drawn from its implementation. Through the use of mediating chatbots, this study implemented DA to multiple learners simultaneously and provided each learner with human-like interaction. The chatbots…
Descriptors: Elementary School Students, Vocabulary Development, Technology Uses in Education, Man Machine Systems
Tichaona Buzy Musikavanhu; Elizabeth Isabel Scheepers – Acta Educationis Generalis, 2024
Introduction: The COVID-19 pandemic has accelerated the transition to online learning, with synchronous e-learning becoming a critical modality in higher education institutions (HEIs) worldwide. This shift, while ensuring educational continuity, has unveiled numerous challenges, especially in developing nations where resources and infrastructure…
Descriptors: Synchronous Communication, Electronic Learning, Barriers, College Students
Davy Tsz Kit Ng; Jiahong Su; Jac Ka Lok Leung; Samuel Kai Wah Chu – Interactive Learning Environments, 2024
Artificial intelligence (AI) literacy has emerged to equip students with digital skills for effective evaluation, communication, collaboration, and ethical use of AI in online, home, and workplace settings. Countries are increasingly developing AI curricula to support students' technological skills for future studies and careers. However, there is…
Descriptors: Artificial Intelligence, Computer Software, Technology Uses in Education, Secondary School Students
Sahin, Muhittin; Aydin, Furkan; Sulak, Sema; Müftüoglu, Cennet Terzi; Tepgeç, Mustafa; Yilmaz, Gizem Karaoglan; Yilmaz, Ramazan; Yurdugül, Halil – International Association for Development of the Information Society, 2021
The use of technology for teaching and learning has created a paradigm shifting in learning environments and learning process, and also the paradigm shifting has also affected the assessment processes. In addition to these, online environments provide more opportunities to assess of the learners. In this study, the Adaptive Mastery Testing (AMT)…
Descriptors: Teaching Methods, Learning Processes, Adaptive Testing, Computer Assisted Testing
de Hoyos, Maria – Mathematics Teacher: Learning and Teaching PK-12, 2021
The challenges experienced by schools as a result of the COVID-19 pandemic led to numerous changes and forced teachers to rethink the way teachers use technology, both to communicate with students and to support their mathematics learning. To illustrate these changes in curriculum, teaching, and assessment, the author uses the topic of rational…
Descriptors: Mathematics Instruction, Teaching Methods, Graphing Calculators, Educational Change