Most, if not all, journals require the use of Large Language Models (LLMs), such as ChatGPT, to be acknowledged. This article argues that current guidelines do not go far enough as the use of an LLM may be acknowledged but the reviewers, and future readers, do not know which parts of the article were generated with AI (Artificial Intelligence)…

Interest in science is critical for science learning. The family plays a major role in supporting the development of children's interest in science by eliciting and fostering interest and engagement with science content and practice. This study characterizes triggers for interest in science in everyday family life and measures the duration of…

Teachers are now encouraged to use generative artificial intelligence (GenAI) tools to complete various school-related administrative tasks, with the promise of saving considerable amounts of time and effort. Drawing on interviews from 57 teachers across eight schools in Sweden and Australia, this paper explores teachers' experiences when working…

Procedural fidelity is an important component of behavioral intervention programs. The "Train-to-Code" software was used to teach skilled observation of implementation of three types of discrete-trial programs, and improvement to procedural fidelity was assessed. Participants completed a training package that involved coding video…

Inferring the meaning of words and then verifying one's interpretations is widely believed to create relatively strong memories of the items. According to the available research, it is when the inferences are accurate that the learning outcomes are the most promising. The present study extends this inquiry to idioms. Fifty-six ESL learners were…

We used an adapted alternating treatments design to compare the effects of traditional and embedded discrete trial teaching (DTT) with adults with autism. Traditional DTT consisted of the instructor presenting a discriminative stimulus to start each trial ("Point to___"), implementing a prompt (i.e., manual guidance), and providing…

Assessing students' answers and in particular natural language answers is a crucial challenge in the field of education. Advances in transformer-based models such as Large Language Models (LLMs), have led to significant progress in various natural language tasks. Nevertheless, amidst the growing trend of evaluating LLMs across diverse tasks,…

Peer feedback can be highly effective for learning, but only when students give detailed and helpful feedback. Peer feedback systems often support student reviewers through instructor-generated comment prompts that include various scaffolding features. However, there is little research in the context of higher education on which features tend to…

When teachers implement classroom positive behavioral interventions and supports (PBIS), students can benefit. Unfortunately, teachers report insufficient training and concerns with students' behavior. We conducted this study to test the effects of Targeted Professional Development (TPD; brief training, email prompts, and teacher self-management),…

The importance of understanding what and how mathematics teachers notice is well documented, but more research is needed on content-specific noticing. In particular, knowing how teachers notice proportional reasoning, a vital topic spanning all grades of mathematics, could inform measures that support students' proportional reasoning. We examined…

This study explores the potential of OpenAI's ChatGPT-4 (gpt-4-0613) as an automated essay scoring (AES) tool in a trial involving 300 essays from an American university's academic English program placement test. Three prompting strategies (minimal/detailed rubric, require/not require rationale, and with/without scoring examples) were tested for…

Unproctored and teacher-proctored exams have been widely used to prevent cheating at many universities worldwide. However, no empirical studies have directly compared their effectiveness in promoting academic integrity in actual exams. To address this significant gap, in four preregistered field studies, we examined the effectiveness of…

Reminders are a popular feature in smartphone apps designed to promote desirable behaviors that are best performed regularly. But can they also promote students' regular studying? In the present study with 85 lower secondary school students aged 10-12, we combined a smartphone-based between- and within-person experimental manipulation with logfile…

Although researchers have extensively studied student conceptions of radioactivity, the conceptions held by preservice teachers on this subject are largely absent from the literature. We conducted a qualitative content analysis of problem-centered interviews with preservice teachers (N=13) to establish which conceptions are held by preservice…

Background: Current clinical approaches to the treatment of spoken word-finding difficulties in acquired aphasia encourage multimodal cueing, especially the joint application of written and spoken forms. Research that exclusively examines the effects and mechanisms of written cues is limited, with most studies engaging written forms only as part…