NotesFAQContact Us
Collection
Advanced
Search Tips
Laws, Policies, & Programs
Assessments and Surveys
Program for International…1
What Works Clearinghouse Rating
Showing 1 to 15 of 27 results Save | Export
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Zhang, Mengxue; Baral, Sami; Heffernan, Neil; Lan, Andrew – International Educational Data Mining Society, 2022
Automatic short answer grading is an important research direction in the exploration of how to use artificial intelligence (AI)-based tools to improve education. Current state-of-the-art approaches use neural language models to create vectorized representations of students responses, followed by classifiers to predict the score. However, these…
Descriptors: Grading, Mathematics Instruction, Artificial Intelligence, Form Classes (Languages)
Peer reviewed Peer reviewed
Direct linkDirect link
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
Peer reviewed Peer reviewed
Direct linkDirect link
Hao, Qiang; Smith, David H., IV; Ding, Lu; Ko, Amy; Ottaway, Camille; Wilson, Jack; Arakawa, Kai H.; Turcan, Alistair; Poehlman, Timothy; Greer, Tyler – Computer Science Education, 2022
Background and Context: automated feedback for programming assignments has great potential in promoting just-in-time learning, but there has been little work investigating the design of feedback in this context. Objective: to investigate the impacts of different designs of automated feedback on student learning at a fine-grained level, and how…
Descriptors: Computer Science Education, Feedback (Response), Teaching Methods, Comparative Analysis
Peer reviewed Peer reviewed
Direct linkDirect link
Jordan Allison; Abu Alam; Luke Gassmann; Gareth Nelson; Kamal Zidan – Journal of Further and Higher Education, 2024
This article presents the usage of Integrated Course Design (ICD) in the design and evaluation of applying agile methodologies within an undergraduate module of study to foster the development of computer science students employability skills. Undergraduate programs of computer science typically follow traditional educational methods which can…
Descriptors: Computer Science Education, Employment Potential, College Graduates, Integrated Curriculum
Peer reviewed Peer reviewed
Direct linkDirect link
Chapman, Kayla E.; Davidson, Megan E.; Liberatore, Matthew W. – Chemical Engineering Education, 2021
Student success and attempts on hundreds of online homework problems housed in a fully interactive online textbook, Material and Energy Balances zyBook, were studied over three cohorts of students (n=284). Auto-graded homework questions with randomized numbers and content can explore proficiency in the course material. Students are allowed to…
Descriptors: Energy, Homework, Science Instruction, Textbooks
Alexander Johnson – ProQuest LLC, 2024
The potential of speech technology to improve educational outcomes has been a topic of great interest in recent years. For example, automatic speech recognition (ASR) systems could be employed to provide kindergarten-aged children with real-time feedback on their literacy and pronunciation as they practice reading aloud. Within these systems,…
Descriptors: Audio Equipment, Black Dialects, African American Students, Equal Education
Peer reviewed Peer reviewed
Direct linkDirect link
Reinhart, Alex; Genovese, Christopher R. – Journal of Statistics and Data Science Education, 2021
Traditionally, statistical computing courses have taught the syntax of a particular programming language or specific statistical computation methods. Since Nolan and Temple Lang's seminal paper, we have seen a greater emphasis on data wrangling, reproducible research, and visualization. This shift better prepares students for careers working with…
Descriptors: Computer Software, Graduate Students, Computer Science Education, Statistics Education
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Hattie, John; Crivelli, Jill; Van Gompel, Kristin; West-Smith, Patricia; Wike, Kathryn – Online Submission, 2021
Feedback is powerful but variable. This study investigates which forms of feedback are more predictive of improvement to students' essays, using "Turnitin Feedback Studio"--a computer augmented system to capture teacher and computer-generated feedback comments. The study used a sample of 3,204 high school and university students who…
Descriptors: Feedback (Response), Writing Evaluation, High School Students, Undergraduate Students
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Maggie A. Mosher; Lisa A. Dieker; Rebecca Hines – Journal of Special Education Preparation, 2024
The use of artificial intelligence (AI) is not a new concept. Still, the press, the worry, and the hype around the potential benefits and limitations of the explosion of these tools in this field is a current topic in teacher education. In this article, the authors summarize the past use of AI, present easily adaptable tools in teacher education,…
Descriptors: Teacher Education Programs, Futures (of Society), Artificial Intelligence, Computer Software
Peer reviewed Peer reviewed
Direct linkDirect link
Quadir, Benazir; Zhou, Menghui – International Journal of Distance Education Technologies, 2021
Due to the emergency educational consequences of the COVID-19 epidemic, it is necessary to find an effective and alternative way of learning. Moreover, during this epidemic, the Chinese Ministry of Education announced the "Disrupted Classes, Undisrupted Learning" initiative, offering flexible online learning. With the aim of facilitating…
Descriptors: COVID-19, Pandemics, Online Courses, Distance Education
Peer reviewed Peer reviewed
Direct linkDirect link
Pereira, Filipe D.; Oliveira, Elaine H. T.; Oliveira, David B. F.; Cristea, Alexandra I.; Carvalho, Leandro S. G.; Fonseca, Samuel C.; Toda, Armando; Isotani, Seiji – British Journal of Educational Technology, 2020
Tools for automatic grading programming assignments, also known as Online Judges, have been widely used to support computer science (CS) courses. Nevertheless, few studies have used these tools to acquire and analyse interaction data to better understand the students' performance and behaviours, often due to data availability or inadequate…
Descriptors: Introductory Courses, Programming, Outcomes of Education, Student Behavior
Peer reviewed Peer reviewed
Direct linkDirect link
Mirriahi, Negin; Liaqat, Daniyal; Dawson, Shane; Gaševic, Dragan – Educational Technology Research and Development, 2016
This study explores the types of learning profiles that evolve from student use of video annotation software for reflective learning. The data traces from student use of the software were analysed across four undergraduate courses with differing instructional conditions. That is, the use of graded or non-graded self-reflective annotations. Using…
Descriptors: Video Technology, Computer Software, Reflection, Undergraduate Students
Peer reviewed Peer reviewed
Direct linkDirect link
Xu, Yu-Jie; Chiou, Shang-Chia; You, Manlai – Computer Assisted Language Learning, 2020
This study explored interactive interface design for writing practice, feedback, and grading in Chinese character learning systems. In the experiment, 30 novice Chinese learners were invited to perform designated learning tasks on two different learning systems. Learning times and outcomes were measured. The results indicated that improvement of…
Descriptors: Second Language Learning, Second Language Instruction, Chinese, Orthographic Symbols
Peer reviewed Peer reviewed
Direct linkDirect link
Giordano, Andrea N.; Christopher, Casey R. – Journal of Chemical Education, 2020
The Spring 2020 semester will be marked in our history as one of the most challenging semesters for higher education, although through the adversity, we were presented with opportunities for classroom innovation. A reflective account of the teaching insights gained from implementing a COVID-19 miniunit and utilizing remote oral examinations is…
Descriptors: Best Practices, Teaching Methods, COVID-19, Pandemics
Peer reviewed Peer reviewed
PDF on ERIC Download full text
Byrne, Jason; Furuyabu, Mariko – Teaching English with Technology, 2019
This paper aims to provide teachers with a practical guide to working in an IT enabled classroom. The paper outlines four central practical examples, with teacher reflections, of what was required in starting an actual IT enabled English listening & speaking program. The classroom environment described is board-less, meaning the teacher's…
Descriptors: Troubleshooting, English (Second Language), Second Language Learning, Second Language Instruction
Previous Page | Next Page »
Pages: 1  |  2