With the prevalence of Large Language Model-based chatbots, middle school students are increasingly likely to engage with these tools to complete their assignments, raising concerns about its potential to harm students' learning motivation and learning outcomes. However, we know little about its real impact. Through quasi-experiment research with…

Background: The advent of generative-artificial intelligence (AI) applications introduces new challenges for colleges. Importantly, the growth of these applications requires faculty to adjust their pedagogy to account for the changing technological landscape. Objective: As colleges wrestle with the implications of these applications, it is…

Background: Traditional teaching methods of biochemistry provide effective tools for knowledge transmission, but are considered less engaging with students. Smartphone applications may provide suitable alternatives to compensate for the shortcomings of traditional teaching methods. Purpose: This study aimed to assess the effectiveness of…

This paper focuses on a historically understudied area in computing education: attending to students' *design thinking* in university-level introductory programming courses. I offer an account of one student--"Rebecca"--and her experiences and code from a second-semester course on programming concepts for engineers. Using data from both…

This teaching tip explores the integration of AI tools into database education. The author describes how instructors can use AI tools to prepare teaching materials and how students can use AI to facilitate database development. The teaching tips provided encompass both course-level objectives and assignment-specific strategies. The inclusion of AI…

Background and Context: automated feedback for programming assignments has great potential in promoting just-in-time learning, but there has been little work investigating the design of feedback in this context. Objective: to investigate the impacts of different designs of automated feedback on student learning at a fine-grained level, and how…

This preliminary case study used qualitative methods to analyze the experiences of eight short-term education abroad participants prior to, during, and shortly after a two-week program in Taipei. Interpretive analysis of reflection papers, focus group interviews, mobile app assignments, and a post-program evaluation survey revealed that students…

Recent advances and applications of artificial intelligence (AI) have increased the opportunities for students to interact with AI in their learning tasks. Although various fields of scholarly research have investigated human-AI collaboration, the underlying processes of how students collaborate with AI in a student-AI teaming scenario have been…

This paper presents the findings of a research project on UK school students' attitudes to the use of Free Online Machine Translation for L2 production and more specifically in preparing for assessment. Data were collected from a publicly available online forum to analyse students' spontaneous discussion of the use of Free Online Machine…

This study looked at how practically ASR-based interactive video assignments can be integrated into EFL classrooms for additional out-of-class speaking practice, and what effects it will have on students. We created an ASR-based interactive video assignment using Google Scripts and gave it to students as a homework assignment between lessons in…

In response to the significant disruption posed by emergent AI technology, we propose a four part framework for teaching and learning practice and development. Rather than focus on the specific technologies of the moment, this framework provides actionable suggestions for individuals with varying views of AI and its positive and negative…

This is an exploratory study considering instructional methods in mathematics education. The study examined misconceptions arising from selected assignments undertaken by sixty-five students. The students were attending a calculus mathematical course unit on limits of functions, in different academic areas offered at selected tertiary institutions…

In this research, we show a development process of engagement sub-systems in a blended-learning management system and evaluate the impact of student interaction in the whole system. We develop special sub-systems for engagement purposes via forum, course rating, and class assignment modules. During the system development process, we employ…

Large language models (LLMs)-based chatbots use natural language processing and are a type of generative artificial intelligence (AI) that is capable of comprehending user input and generating output in various formats. They offer potential benefits in medical education. This study explored the student's feedback on the utilization of LLMs in…

The current data-centric business environment has seen an increasing demand for business students with knowledge and skills in the area of business analytics. This article presents the design and implementation of a foundation business analytics (BA) course for undergraduate business students who aspire to become data-literate professionals or…