Background: Academic dishonesty (AD) and trustworthy assessment (TA) are fundamental issues in the context of an online assessment. However, little systematic work currently exists on how researchers have explored AD and TA issues in online assessment practice. Objectives: Hence, this research aimed at investigating the latest findings regarding…

Whether skeptical or enthusiastic about AI, every social studies educator will find something useful for their practice in this book. The introduction of widely available generative AI tools has caused a frenzy of both positive and negative reactions. Between utopian visions and apocalyptic predictions of AI's impact on education, there is a need…

Students today are often assumed to be digitally literate and prepared for college, but that is not always the case. Introductory technology courses at the college level provide students with the technology and digital skills necessary for them to succeed in college. This study, conducted at a small New England "business school" that…

In this article, we explore the concept of a "hidden curriculum" within generative AI, specifically Large Language Models (LLMs), and its intersection with the hidden curriculum in education. We highlight how AI, trained on biased human data, can perpetuate societal inequities and discriminatory practices despite appearing objective. We…

Addressing academic integrity in the age of AI is essential to ensure honesty and student success. This Spotlight will help you learn about how educators nationwide are approaching AI in teaching and learning; review data investigating how many students are actually using AI to cheat; examine strategies teachers are using to fight AI cheating;…

Digital learning platforms (DLPs) are beginning to become open to research. Specifically, in our work in SEERNet, developers are extending five platforms, each used in either K-12 or higher education by more than 100,000 users, to enable third-party researchers to explore, develop, and test improvements. SEERNet seeks to enable equity-relevant…

The U.S. Department of Education's (Department's) Office for Civil Rights (OCR) provides this resource to assist school communities with ensuring that artificial intelligence (AI) is used in a nondiscriminatory manner in the nation's elementary and secondary schools and institutions of higher education consistent with federal civil rights laws.…

The technological capacity that now exists to gather and store large amounts of data has improved access to information regarding young people in schools. Improvements in data management techniques and statistical data software packages have made retrieving and analysing systems data a more accessible and manageable process. On a smaller scale,…

My Virtual Reading Coach (MVRC) is an online program for students who have been identified as struggling readers. It is used as an intervention within the Response to Intervention (RtI) framework, as well as for students with disabilities. The software addresses reading sub-skills (i.e., comprehension, fluency, phonemic awareness, phonics, and…

For the forty-third time, the Association for Educational Communications and Technology (AECT) is sponsoring the publication of these Proceedings. Papers published in this volume were presented online during the annual AECT Convention. Volume 1 contains 37 papers dealing primarily with research and development topics. Papers dealing with the…

The 13th iteration of the International Conference on Educational Data Mining (EDM 2020) was originally arranged to take place in Ifrane, Morocco. Due to the SARS-CoV-2 (coronavirus) epidemic, EDM 2020, as well as most other academic conferences in 2020, had to be changed to a purely online format. To facilitate efficient transmission of…

Reviews research on interactive computer learning. Examines the extent to which learner-computer interaction and learner-learner interaction can interfere with or support one another. Finds that viewing collaborative learning as joint negotiation of a common problem helps to define optimal characteristics of educational software. (CFR)

The study examines the use of LOGO, a computer language, with 19 learning disabled (LD) and 19 non-LD students in grades 4-6. Ss were randomly assigned to one of two instructional groups: sequential or whole-task, each with 10 LD and 10 non-LD students. The sequential method features a carefully ordered plan for teaching LOGO commands; the…

Discusses issues in selecting computer programs and interactive multimedia for culturally diverse students, including the necessity of including diverse cultural referents and acknowledging the cognitive style of students who will be using the programs. (SLD)

This guide examines the computer's role in the educational environment of students with emotional or behavioral disorders (EBD). The computer's power to reinforce students who are reluctant learners, in a personalized learning environment without the complications of adult interactions or behavioral control issues, is noted. Characteristics of EBD…