Researchers have demonstrated a much-needed shift in pedagogical practices to incorporate literacy strategies. This dissertation provides additional empirical evidence to expand the body of research by utilizing a comparative readability analysis that examines the academic language of a popular calculus textbook. A sample from the published…

Worked examples, which present an explained code for solving typical programming problems are among the most popular types of learning content in programming classes. Most approaches and tools for presenting these examples to students are based on line-by-line explanations of the example code. However, instructors rarely have time to provide…

This study explores the potential of large language models (LLMs), specifically GPT-4 and Gemini, in generating teaching cases for information systems courses. A unique prompt for writing three different types of teaching cases such as a descriptive case, a normative case, and a project-based case on the same IS topic (i.e., the introduction of…

This study aims to determine the effectiveness of Fry readability-based digital storybooks on reading comprehension skills among elementary school students. The method used in this study was an experimental research design with a pretest-posttest control group design to measure students' reading comprehension skills. The sample of this study was…

Empirical evidence remains sparse about how videos enhanced with first-language (L1) and second-language (L2) subtitles influence cognitive load in L2 learners. To address this point, 25 Korean undergraduate students were exposed to six short videos: baseline, L1-subtitled, and L2-subtitled videos at both high and low difficulty levels (determined…

This report sets out the findings of the technical development work completed as part of the Use Cases for Generative AI in Education project, commissioned by the Department for Education (DfE) in September 2023. It has been published alongside the User Research Report, which sets out the findings from the ongoing user engagement activity…

As data and protocols are increasingly generated, accessed, and manipulated electronically, many labs are shifting to storing data in electronic laboratory notebooks (ELNs). ELNs provide clear advantages in readability, shareability, searchability, accessibility, and data security over their paper counterparts. Our interdisciplinary program…

Many digital reading applications have built-in features to control the presentation flow of texts by segmenting those texts into smaller linguistic units. Whether and how these segmentation techniques affect the readability of texts is largely unknown. With this background, the current study examined a recent proposal that a sentence-by-sentence…

In the 21st century, Indonesian education must generate life skills for dealing with the era of society 5.0. Bioentrepreneurship skills are one of those needed to achieve the primary goal of society 5.0. However, teaching modules that combine entrepreneurship skills still need to be improved. This research aims to produce project-based learning…

Extensive Reading (ER) emerges as a promising approach for acquiring a foreign language, allowing for a large amount of language exposure. However, the influence of supplementary activities within ER programs has yet to be thoroughly investigated, despite previous studies suggesting their potential effectiveness. This research investigated the…

Extensive reading is an approach to language learning that encourages learners to read a large quantity of easy reading material. A substantial body of research confirms the effectiveness of this approach for developing proficiency in both first (L1) and second (L2) languages. This paper explains what extensive reading is, why it is important, and…

This study explores the way translation crowdsourcing may contribute to metacognitive translator training through a teaching experiment where Global Voices Lingua was integrated into an undergraduate English-Chinese translation course. In doing so, the study investigates how translation students' awareness of conditional knowledge and its…

Large language models (LLMs) offer an opportunity to make large-scale changes to educational content that would otherwise be too costly to implement. The work here highlights how LLMs (in particular GPT-4) can be prompted to revise educational math content ready for large scale deployment in real-world learning environments. We tested the ability…