This study is developing a Deep Learning model automating the coding of drawings students provide about climate change phenomena in our world, as a learning contribution through formative assessment. We started first with ResNet50 architecture, but ultimately, we settled on MobileNetV2 reduced architecture for the sake of being able to integrate…

Previous behavior-analytic research to improve dance performance has separately demonstrated the efficacy of TAGteach and self-evaluative video feedback. However, no research has directly compared these two interventions. In this study, we used an adapted alternating-treatment design to examine the effects of TAGteach versus self-evaluative video…

Peer feedback literacy is becoming increasingly important in higher education as peer feedback has substantially grown as a pedagogical approach. However, quality of produced feedback, a key behavioral aspect of peer feedback literacy, lacks a systematic and evidence-based conceptualization to guide research, instruction, and system design. We…

This paper demonstrates that a teachable agent (TA) can play a dual role in an online learning environment (OLE) for learning by teaching--the teachable agent working as a synthetic peer for students to learn by teaching and as an interactive tool for cognitive task analysis when authoring an OLE for learning by teaching. We have developed an OLE…

Interpreting radiographic lesions on dental radiographs is a challenging process especially for novice learners, and there is a lack of tools available to support this diagnostic process. This study introduced dental students to two diagnostic aids with contrasting reasoning approaches--ORAD DDx, which uses an analytic, forward reasoning approach,…

This quasi-experimental study investigates the effects of pre-writing (Pre-EI) and post-writing explicit instruction (Post-EI) on L2 learners' overall writing accuracy and errors at different severity levels. Situated within process-genre-oriented writing classrooms, a total of three intact groups (N = 101) were designated as two experimental…

Two studies investigated the testing effects on performance and on metacognitive judgment accuracy in authentic learning settings. Across two educational psychology courses, undergraduate students had the opportunity to voluntarily participate in four different practice tests during the term--without feedback in Study 1 (N = 201 students) or with…

Background: With the arrival of generative artificial intelligence (genAI) tools, psychology educators are rethinking their assessment practices. Objective: This paper describes one approach to integrating genAI into an assessment designed to promote psychological literacy. Method: Students used ChatGPT to generate a media release about a…

The methods in which self-assessment are facilitated have not been significantly addressed within the literature. Self-assessment is also fraught with concerns around reliability and validity. As a result, a systematic 3-stage plan was developed to embed self-assessment into a module design. The planning, formative and summative (PFS) model of…

Whereas scholars have extensively researched the pedagogical potential of 4/3/2 activities (i.e. increasing time pressure in task repetition) for enhancing second language (L2) fluency, its impact on L2 accuracy remains unclear. To help L2 learners improve both fluency and accuracy, the present study examined the effects of adding accuracy…

Large Language Models (LLMs) have the potential to improve education by personalizing learning. However, ChatGPT-generated content has been criticized for sometimes producing false, biased, and/or hallucinatory information. To evaluate AI's ability to return clear and accurate anatomy information, this study generated a custom interactive and…

Mixed-methods research is employed to investigate the implementation of the Stanislavski system in the study of Thai court drama. This study investigates the successful application of the Stanislavski method in Thai Court Theater, focusing on its role in enabling actors to portray emotions with accuracy and conviction. Research methods encompass…

Young children tend to rely on reactive cognitive control (e.g. strongly slow down after an error), even when task accuracy would benefit from proactive cognitive control (taking a slower task approach up front). We investigated if giving young primary school children opportunities to repeatedly experience tasks where success rates depend on…

This study investigated the efficacy of varying degrees of written corrective feedback (WCF) explicitness on the accuracy of revised drafts and new pieces of writing among learners of different proficiency levels. A total of 130 learners of English were divided into three proficiency groups (basic, independent, and proficient users), with learners…

Automated writing evaluation feedback (AWE) has become popular in writing classrooms. However, few studies have conducted a comprehensive review of the employment of AWE in learning areas. This study aimed to provide a systematic review of the current research on AWE feedback, including its validity, effects, and students' engagement with AWE…