Large Language Models (LLM) -- powerful algorithms that can generate and transform text -- are set to disrupt language learning education and text-based assessments as they allow for automation of text that can meet certain outcomes of many traditional assessments such as essays. While there is no way to definitively identify text created by this…

Student engagement is consistently identified as a key predictor of learner outcomes within the online learning environment. However, there is limited guidance about using proactive strategies to improve engagement for low and non-engaged students: for example by specifically employing course learning analytics (CLA) and nudging strategies in…

SCAMPER is an acronym that stands for Substitute, Combine, Adapt, Modify, Put to Another Use, Eliminate, and Rearrange (Eberle 1972). Each word in the acronym is related to a question stem designed to prompt creative thinking about a given topic (Flannagan and Sawyer 2015). Using these question stems requires students to systematically think…

This paper reflects on the practical integration of generative AI, specifically ChatGPT, in a middle school (grades 6-8) special education setting. Initially adopted by teachers to manage an overwhelming workload, the use of AI evolved into a collaborative tool that supported instructional planning, simplified complex texts, created lesson…

The purpose of this article is to address the issue that children's natural singing voices and pitch perception are in a treble range, and a male elementary general music teacher's natural singing voice is an octave below. There are many strategies to overcome this significant but manageable obstacle in daily teaching, including monitoring of…

Universal Design for Learning (UDL), an instructional practice for curriculum design, brims with the promise that concepts, however challenging, may be accessible to everyone in a classroom. There is no reason for anyone, including children in special education programs, not to have the right of passage into inquiry within a unit of study. To…

With the increasing attention and surge of empirical research in providing academic instruction for students with autism spectrum disorder (ASD) comes the need to provide teachers with research-supported strategies. Using one evidence-based strategy for teaching mathematics to students with high incidence disabilities, and another for teaching…

Video-based instruction is technology-based instruction delivered through video clips in which a human model demonstrates target behaviors (Rayner, Denholm, & Sigafoos, 2009). It can be used to teach a variety of skills, including social communication and behavioral and functional skills (Cihak & Schrader, 2008). Despite the advantages,…

Writing-to-learn (WTL) is an effective instructional and learning strategy that centers on the process of organizing and articulating ideas, as opposed to writing-to-communicate, which centers on the finished written product. We describe a WTL model that we have developed and tested with various student groups over several years. With effective…

We conducted a content analysis of 34 statements of interest submitted by applicants applying for admission to an education leadership preparation program. The purpose of the analysis was to understand their orientations toward social justice. Using Kumashiro's (2000) and Apple's (2001) discussions of antioppressive education, we identified three…

The Hint Factory is an implementation of our novel method to automatically generate hints using past student data for a logic tutor. One disadvantage of the Hint Factory is the time needed to gather enough data on new problems in order to provide hints. In this paper we describe the use of expert sample solutions to "seed" the hint generation…

The effectiveness of computer-based learning environments depends on learners' deployment of metacognitive and self-regulatory processes. Analysis of transmitted messages in a context of Computer Mediated Communication can provide a source of information on metacognitive activity. However, existing models or frameworks (e.g., Henri, 1992) that…

In 5 experiments, the authors tested whether the processing of nonconscious spatial stimulus information depends on a prior intention. This test was conducted with the metacontrast dissociation paradigm. Experiment 1 demonstrated that masked primes that could not be discriminated above chance level affected responses to the visible stimuli that…

Despite a growing development of virtual laboratories which use the advantages of multimedia and Internet for distance education, learning by means of such tutorial tools would be more effective if they were specifically tailored to each student needs. The virtual teaching process would be well adapted if an artificial tutor can identify the…