This paper considers the impact of technological processes on human thought, specifically the implications of artificial intelligence (AI) on writing instruction. The main purpose of this paper is to present instructional considerations that will elevate human voice and reduce student temptations to turn to AI unreasonably to produce a piece of…

The "IDRA Newsletter" serves as a vehicle for communication with educators, school board members, decision-makers, parents, and the general public concerning the educational needs of all children across the United States. The focus of this issue is "Language Rights." Contents include: (1) Navigating Policy Landscapes for…

The "IDRA Newsletter" serves as a vehicle for communication with educators, school board members, decision-makers, parents, and the general public concerning the educational needs of all children across the United States. The focus of this issue is "Breaking Barriers to Learning." Contents include: (1) The Importance of…

Talladega County Schools (TCBOE) spans 760 square miles and serves about 7,000 learners, 71 percent of whom receive free and reduced-priced meals. It also is a member of the League of Innovative Schools, a network of forward-looking school districts that have declared their commitment to improving and advancing equitable outcomes for students…

Since ChatGPT launched in 2022, teachers and administrators have had the challenge of using generative Artificial Intelligence (AI) effectively while minimizing the negative consequences of its presence in schools. Today, AI-enabled lesson plan generators such as Diffit and MagicSchool AI are widely available to teachers, but no research has…

This qualitative, phenomenological study examines how artificial intelligence (AI) impacts lesson design for teachers at a school district in southeast Texas. As generative AI becomes more integrated into education, this research investigates how AI tools influence teachers' abilities to create dynamic, differentiated, and effective lesson plans.…

Purpose: Kinematic measurements of speech have demonstrated some success in automatic detection of early symptoms of amyotrophic lateral sclerosis (ALS). In this study, we examined how the region of symptom onset (bulbar vs. spinal) affects the ability of data-driven models to detect ALS. Method: We used a correlation structure of articulatory…

Cutting-edge data science techniques can shed new light on fundamental questions in educational research. We apply techniques from natural language processing (lexicons, word embeddings, topic models) to 15 U.S. history textbooks widely used in Texas between 2015 and 2017, studying their depiction of historically marginalized groups. We find that…

The Association Supporting Computer Users in Education (ASCUE) initiated a refereed track for paper submissions to the conference in 2008. In fact, at the 2008 business meeting, the membership approved three different presentation tracks: refereed with 3 blind reviews for each paper, session with paper where the author submits a paper but it is…